id	sid	tid	token	lemma	pos
easat-9787	1	1	edelweiss	edelweiss	PROPN
easat-9787	1	2	applied	apply	VERB
easat-9787	1	3	science	science	NOUN
easat-9787	1	4	and	and	CCONJ
easat-9787	1	5	technology	technology	NOUN
easat-9787	1	6	issn	issn	PROPN
easat-9787	1	7	:	:	PUNCT
easat-9787	1	8	2576	2576	NUM
easat-9787	1	9	-	-	SYM
easat-9787	1	10	8484	8484	NUM
easat-9787	1	11	vol	vol	NOUN
easat-9787	1	12	.	.	PROPN
easat-9787	2	1	9	9	NUM
easat-9787	2	2	,	,	PUNCT
easat-9787	2	3	no	no	INTJ
easat-9787	2	4	.	.	NOUN
easat-9787	2	5	9	9	NUM
easat-9787	2	6	,	,	PUNCT
easat-9787	2	7	226	226	NUM
easat-9787	2	8	-	-	SYM
easat-9787	2	9	244	244	NUM
easat-9787	2	10	2025	2025	NUM
easat-9787	2	11	publisher	publisher	NOUN
easat-9787	2	12	:	:	PUNCT
easat-9787	2	13	learning	learn	VERB
easat-9787	2	14	gate	gate	NOUN
easat-9787	2	15	doi	doi	PROPN
easat-9787	2	16	:	:	PUNCT
easat-9787	2	17	10.55214/2576	10.55214/2576	NUM
easat-9787	2	18	-	-	SYM
easat-9787	2	19	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	2	20	©	©	PROPN
easat-9787	2	21	2025	2025	NUM
easat-9787	2	22	by	by	ADP
easat-9787	2	23	the	the	DET
easat-9787	2	24	author	author	NOUN
easat-9787	2	25	;	;	PUNCT
easat-9787	2	26	licensee	licensee	PROPN
easat-9787	2	27	learning	learning	NOUN
easat-9787	2	28	gate	gate	NOUN
easat-9787	3	1	©	©	PROPN
easat-9787	3	2	2025	2025	NUM
easat-9787	3	3	by	by	ADP
easat-9787	3	4	the	the	DET
easat-9787	3	5	author	author	NOUN
easat-9787	3	6	;	;	PUNCT
easat-9787	3	7	licensee	licensee	PROPN
easat-9787	3	8	learning	learning	NOUN
easat-9787	3	9	gate	gate	NOUN
easat-9787	3	10	history	history	NOUN
easat-9787	3	11	:	:	PUNCT
easat-9787	3	12	received	receive	VERB
easat-9787	3	13	:	:	PUNCT
easat-9787	3	14	3	3	NUM
easat-9787	3	15	july	july	NOUN
easat-9787	3	16	2025	2025	NUM
easat-9787	3	17	;	;	PUNCT
easat-9787	3	18	revised	revise	VERB
easat-9787	3	19	:	:	PUNCT
easat-9787	3	20	1	1	NUM
easat-9787	3	21	august	august	PROPN
easat-9787	3	22	2025	2025	NUM
easat-9787	3	23	;	;	PUNCT
easat-9787	3	24	accepted	accept	VERB
easat-9787	3	25	:	:	PUNCT
easat-9787	3	26	4	4	NUM
easat-9787	3	27	august	august	PROPN
easat-9787	3	28	2025	2025	NUM
easat-9787	3	29	;	;	PUNCT
easat-9787	3	30	published	publish	VERB
easat-9787	3	31	:	:	PUNCT
easat-9787	3	32	2	2	NUM
easat-9787	3	33	september	september	PROPN
easat-9787	3	34	2025	2025	NUM
easat-9787	3	35	*	*	PUNCT
easat-9787	3	36	correspondence	correspondence	NOUN
easat-9787	3	37	:	:	PUNCT
easat-9787	3	38	c.volos@nup.ac.cy	c.volos@nup.ac.cy	NOUN
easat-9787	3	39	misleading	misleading	ADJ
easat-9787	3	40	dynamics	dynamic	NOUN
easat-9787	3	41	:	:	PUNCT
easat-9787	3	42	the	the	DET
easat-9787	3	43	erosion	erosion	NOUN
easat-9787	3	44	of	of	ADP
easat-9787	3	45	durbin	durbin	ADJ
easat-9787	3	46	-	-	PUNCT
easat-9787	3	47	watson	watson	NOUN
easat-9787	3	48	power	power	NOUN
easat-9787	3	49	through	through	ADP
easat-9787	3	50	time	time	NOUN
easat-9787	3	51	aggregation	aggregation	NOUN
easat-9787	3	52	christos	christos	PROPN
easat-9787	3	53	christodoulou	christodoulou	PROPN
easat-9787	3	54	-	-	PUNCT
easat-9787	3	55	volos1	volos1	PROPN
easat-9787	3	56	*	*	PROPN
easat-9787	3	57	1department	1department	NUM
easat-9787	3	58	of	of	ADP
easat-9787	3	59	economics	economic	NOUN
easat-9787	3	60	and	and	CCONJ
easat-9787	3	61	business	business	NOUN
easat-9787	3	62	,	,	PUNCT
easat-9787	3	63	neapolis	neapolis	PROPN
easat-9787	3	64	university	university	NOUN
easat-9787	3	65	,	,	PUNCT
easat-9787	3	66	pafos	pafos	NOUN
easat-9787	3	67	,	,	PUNCT
easat-9787	3	68	cyprus	cyprus	PROPN
easat-9787	3	69	;	;	PUNCT
easat-9787	3	70	c.volos@nup.ac.cy	c.volos@nup.ac.cy	NOUN
easat-9787	3	71	(	(	PUNCT
easat-9787	3	72	c.c.v	c.c.v	NOUN
easat-9787	3	73	.	.	PUNCT
easat-9787	3	74	)	)	PUNCT
easat-9787	3	75	.	.	PUNCT
easat-9787	4	1	abstract	abstract	ADV
easat-9787	4	2	:	:	PUNCT
easat-9787	4	3	this	this	DET
easat-9787	4	4	paper	paper	NOUN
easat-9787	4	5	investigates	investigate	VERB
easat-9787	4	6	the	the	DET
easat-9787	4	7	impact	impact	NOUN
easat-9787	4	8	of	of	ADP
easat-9787	4	9	temporal	temporal	ADJ
easat-9787	4	10	aggregation	aggregation	NOUN
easat-9787	4	11	on	on	ADP
easat-9787	4	12	the	the	DET
easat-9787	4	13	ability	ability	NOUN
easat-9787	4	14	of	of	ADP
easat-9787	4	15	the	the	DET
easat-9787	4	16	durbinwatson	durbinwatson	NOUN
easat-9787	4	17	(	(	PUNCT
easat-9787	4	18	dw	dw	NOUN
easat-9787	4	19	)	)	PUNCT
easat-9787	4	20	test	test	NOUN
easat-9787	4	21	to	to	PART
easat-9787	4	22	detect	detect	VERB
easat-9787	4	23	first	first	ADJ
easat-9787	4	24	-	-	PUNCT
easat-9787	4	25	order	order	NOUN
easat-9787	4	26	autocorrelation	autocorrelation	NOUN
easat-9787	4	27	.	.	PUNCT
easat-9787	5	1	through	through	ADP
easat-9787	5	2	monte	monte	PROPN
easat-9787	5	3	carlo	carlo	PROPN
easat-9787	5	4	simulations	simulation	NOUN
easat-9787	5	5	for	for	ADP
easat-9787	5	6	ar(1	ar(1	PROPN
easat-9787	5	7	)	)	PUNCT
easat-9787	5	8	,	,	PUNCT
easat-9787	5	9	ar(2	ar(2	PROPN
easat-9787	5	10	)	)	PUNCT
easat-9787	5	11	,	,	PUNCT
easat-9787	5	12	and	and	CCONJ
easat-9787	5	13	arma(1,1	arma(1,1	ADJ
easat-9787	5	14	)	)	PUNCT
easat-9787	5	15	processes	process	NOUN
easat-9787	5	16	,	,	PUNCT
easat-9787	5	17	it	it	PRON
easat-9787	5	18	demonstrates	demonstrate	VERB
easat-9787	5	19	that	that	SCONJ
easat-9787	5	20	the	the	DET
easat-9787	5	21	power	power	NOUN
easat-9787	5	22	function	function	NOUN
easat-9787	5	23	of	of	ADP
easat-9787	5	24	the	the	DET
easat-9787	5	25	dw	dw	PROPN
easat-9787	5	26	test	test	NOUN
easat-9787	5	27	significantly	significantly	ADV
easat-9787	5	28	diminishes	diminish	VERB
easat-9787	5	29	when	when	SCONJ
easat-9787	5	30	data	datum	NOUN
easat-9787	5	31	are	be	AUX
easat-9787	5	32	aggregated	aggregate	VERB
easat-9787	5	33	from	from	ADP
easat-9787	5	34	daily	daily	ADJ
easat-9787	5	35	to	to	ADP
easat-9787	5	36	weekly	weekly	ADJ
easat-9787	5	37	or	or	CCONJ
easat-9787	5	38	monthly	monthly	ADJ
easat-9787	5	39	frequencies	frequency	NOUN
easat-9787	5	40	,	,	PUNCT
easat-9787	5	41	especially	especially	ADV
easat-9787	5	42	when	when	SCONJ
easat-9787	5	43	using	use	VERB
easat-9787	5	44	arithmetic	arithmetic	ADJ
easat-9787	5	45	averaging	averaging	NOUN
easat-9787	5	46	.	.	PUNCT
easat-9787	6	1	even	even	ADV
easat-9787	6	2	minor	minor	ADJ
easat-9787	6	3	autocorrelation	autocorrelation	NOUN
easat-9787	6	4	becomes	become	VERB
easat-9787	6	5	increasingly	increasingly	ADV
easat-9787	6	6	difficult	difficult	ADJ
easat-9787	6	7	to	to	PART
easat-9787	6	8	detect	detect	VERB
easat-9787	6	9	,	,	PUNCT
easat-9787	6	10	with	with	ADP
easat-9787	6	11	the	the	DET
easat-9787	6	12	dw	dw	PROPN
easat-9787	6	13	statistic	statistic	PROPN
easat-9787	6	14	converging	converge	VERB
easat-9787	6	15	to	to	ADP
easat-9787	6	16	2.0	2.0	NUM
easat-9787	6	17	under	under	ADP
easat-9787	6	18	smoothing	smooth	VERB
easat-9787	6	19	.	.	PUNCT
easat-9787	7	1	an	an	DET
easat-9787	7	2	empirical	empirical	ADJ
easat-9787	7	3	analysis	analysis	NOUN
easat-9787	7	4	of	of	ADP
easat-9787	7	5	6,647	6,647	NUM
easat-9787	7	6	daily	daily	ADJ
easat-9787	7	7	usd	usd	NOUN
easat-9787	7	8	/	/	SYM
easat-9787	7	9	eur	eur	NOUN
easat-9787	7	10	and	and	CCONJ
easat-9787	7	11	usd	usd	ADJ
easat-9787	7	12	/	/	SYM
easat-9787	7	13	gbp	gbp	NOUN
easat-9787	7	14	exchange	exchange	NOUN
easat-9787	7	15	rate	rate	NOUN
easat-9787	7	16	observations	observation	NOUN
easat-9787	7	17	from	from	ADP
easat-9787	7	18	1999	1999	NUM
easat-9787	7	19	to	to	ADP
easat-9787	7	20	2025	2025	NUM
easat-9787	7	21	confirms	confirm	VERB
easat-9787	7	22	the	the	DET
easat-9787	7	23	simulation	simulation	NOUN
easat-9787	7	24	results	result	VERB
easat-9787	7	25	:	:	PUNCT
easat-9787	7	26	dw	dw	PROPN
easat-9787	7	27	statistics	statistic	NOUN
easat-9787	7	28	tend	tend	VERB
easat-9787	7	29	to	to	PART
easat-9787	7	30	be	be	AUX
easat-9787	7	31	close	close	ADJ
easat-9787	7	32	to	to	ADP
easat-9787	7	33	2.0	2.0	NUM
easat-9787	7	34	at	at	ADP
easat-9787	7	35	all	all	DET
easat-9787	7	36	levels	level	NOUN
easat-9787	7	37	of	of	ADP
easat-9787	7	38	aggregation	aggregation	NOUN
easat-9787	7	39	in	in	ADP
easat-9787	7	40	the	the	DET
easat-9787	7	41	presence	presence	NOUN
easat-9787	7	42	of	of	ADP
easat-9787	7	43	underlying	underlie	VERB
easat-9787	7	44	volatility	volatility	NOUN
easat-9787	7	45	.	.	PUNCT
easat-9787	8	1	temporal	temporal	ADJ
easat-9787	8	2	aggregation	aggregation	NOUN
easat-9787	8	3	also	also	ADV
easat-9787	8	4	reduces	reduce	VERB
easat-9787	8	5	volatility	volatility	NOUN
easat-9787	8	6	and	and	CCONJ
easat-9787	8	7	normalizes	normalize	VERB
easat-9787	8	8	distributional	distributional	ADJ
easat-9787	8	9	characteristics	characteristic	NOUN
easat-9787	8	10	,	,	PUNCT
easat-9787	8	11	further	far	ADV
easat-9787	8	12	obscuring	obscure	VERB
easat-9787	8	13	residual	residual	ADJ
easat-9787	8	14	dynamics	dynamic	NOUN
easat-9787	8	15	.	.	PUNCT
easat-9787	9	1	these	these	DET
easat-9787	9	2	findings	finding	NOUN
easat-9787	9	3	highlight	highlight	VERB
easat-9787	9	4	the	the	DET
easat-9787	9	5	risk	risk	NOUN
easat-9787	9	6	of	of	ADP
easat-9787	9	7	obtaining	obtain	VERB
easat-9787	9	8	spurious	spurious	ADJ
easat-9787	9	9	negatives	negative	NOUN
easat-9787	9	10	in	in	ADP
easat-9787	9	11	autocorrelation	autocorrelation	NOUN
easat-9787	9	12	testing	testing	NOUN
easat-9787	9	13	when	when	SCONJ
easat-9787	9	14	using	use	VERB
easat-9787	9	15	the	the	DET
easat-9787	9	16	dw	dw	PROPN
easat-9787	9	17	test	test	NOUN
easat-9787	9	18	on	on	ADP
easat-9787	9	19	aggregated	aggregate	VERB
easat-9787	9	20	data	datum	NOUN
easat-9787	9	21	and	and	CCONJ
easat-9787	9	22	suggest	suggest	VERB
easat-9787	9	23	more	more	ADV
easat-9787	9	24	reliable	reliable	ADJ
easat-9787	9	25	diagnostics	diagnostic	NOUN
easat-9787	9	26	in	in	ADP
easat-9787	9	27	applied	applied	ADJ
easat-9787	9	28	econometrics	econometric	NOUN
easat-9787	9	29	.	.	PUNCT
easat-9787	10	1	keywords	keyword	NOUN
easat-9787	10	2	:	:	PUNCT
easat-9787	10	3	autocorrelation	autocorrelation	NOUN
easat-9787	10	4	,	,	PUNCT
easat-9787	10	5	durbin	durbin	ADJ
easat-9787	10	6	-	-	PUNCT
easat-9787	10	7	watson	watson	NOUN
easat-9787	10	8	test	test	NOUN
easat-9787	10	9	,	,	PUNCT
easat-9787	10	10	exchange	exchange	NOUN
easat-9787	10	11	rates	rate	NOUN
easat-9787	10	12	,	,	PUNCT
easat-9787	10	13	monte	monte	PROPN
easat-9787	10	14	carlo	carlo	PROPN
easat-9787	10	15	simulation	simulation	PROPN
easat-9787	10	16	,	,	PUNCT
easat-9787	10	17	residual	residual	ADJ
easat-9787	10	18	diagnostics	diagnostic	NOUN
easat-9787	10	19	,	,	PUNCT
easat-9787	10	20	temporal	temporal	ADJ
easat-9787	10	21	aggregation	aggregation	NOUN
easat-9787	10	22	.	.	PUNCT
easat-9787	11	1	1	1	X
easat-9787	11	2	.	.	X
easat-9787	11	3	introduction	introduction	NOUN
easat-9787	11	4	autocorrelation	autocorrelation	NOUN
easat-9787	11	5	is	be	AUX
easat-9787	11	6	a	a	DET
easat-9787	11	7	foundational	foundational	ADJ
easat-9787	11	8	concept	concept	NOUN
easat-9787	11	9	in	in	ADP
easat-9787	11	10	time	time	NOUN
easat-9787	11	11	series	series	PROPN
easat-9787	11	12	econometrics	econometrics	PROPN
easat-9787	11	13	.	.	PUNCT
easat-9787	12	1	in	in	ADP
easat-9787	12	2	applied	apply	VERB
easat-9787	12	3	modeling	modeling	NOUN
easat-9787	12	4	,	,	PUNCT
easat-9787	12	5	detecting	detect	VERB
easat-9787	12	6	and	and	CCONJ
easat-9787	12	7	correcting	correct	VERB
easat-9787	12	8	for	for	ADP
easat-9787	12	9	serial	serial	ADJ
easat-9787	12	10	correlation	correlation	NOUN
easat-9787	12	11	in	in	ADP
easat-9787	12	12	residuals	residual	NOUN
easat-9787	12	13	is	be	AUX
easat-9787	12	14	essential	essential	ADJ
easat-9787	12	15	for	for	ADP
easat-9787	12	16	unbiased	unbiased	ADJ
easat-9787	12	17	parameter	parameter	NOUN
easat-9787	12	18	estimation	estimation	NOUN
easat-9787	12	19	,	,	PUNCT
easat-9787	12	20	efficient	efficient	ADJ
easat-9787	12	21	inference	inference	NOUN
easat-9787	12	22	,	,	PUNCT
easat-9787	12	23	and	and	CCONJ
easat-9787	12	24	model	model	NOUN
easat-9787	12	25	diagnostics	diagnostic	NOUN
easat-9787	12	26	.	.	PUNCT
easat-9787	13	1	among	among	ADP
easat-9787	13	2	the	the	DET
easat-9787	13	3	most	most	ADV
easat-9787	13	4	widely	widely	ADV
easat-9787	13	5	used	use	VERB
easat-9787	13	6	tools	tool	NOUN
easat-9787	13	7	for	for	ADP
easat-9787	13	8	identifying	identify	VERB
easat-9787	13	9	first	first	ADJ
easat-9787	13	10	-	-	PUNCT
easat-9787	13	11	order	order	NOUN
easat-9787	13	12	autocorrelation	autocorrelation	NOUN
easat-9787	13	13	in	in	ADP
easat-9787	13	14	regression	regression	NOUN
easat-9787	13	15	residuals	residual	NOUN
easat-9787	13	16	is	be	AUX
easat-9787	13	17	the	the	DET
easat-9787	13	18	durbin	durbin	NOUN
easat-9787	13	19	-	-	PUNCT
easat-9787	13	20	watson	watson	NOUN
easat-9787	13	21	(	(	PUNCT
easat-9787	13	22	dw	dw	PROPN
easat-9787	13	23	)	)	PUNCT
easat-9787	13	24	statistic	statistic	NOUN
easat-9787	13	25	,	,	PUNCT
easat-9787	13	26	introduced	introduce	VERB
easat-9787	13	27	in	in	ADP
easat-9787	13	28	a	a	DET
easat-9787	13	29	pair	pair	NOUN
easat-9787	13	30	of	of	ADP
easat-9787	13	31	seminal	seminal	ADJ
easat-9787	13	32	papers	paper	NOUN
easat-9787	13	33	by	by	ADP
easat-9787	13	34	durbin	durbin	NOUN
easat-9787	13	35	and	and	CCONJ
easat-9787	13	36	watson	watson	NOUN
easat-9787	14	1	[	[	X
easat-9787	14	2	1	1	NUM
easat-9787	14	3	]	]	PUNCT
easat-9787	14	4	and	and	CCONJ
easat-9787	14	5	durbin	durbin	ADJ
easat-9787	14	6	and	and	CCONJ
easat-9787	14	7	watson	watson	NOUN
easat-9787	15	1	[	[	X
easat-9787	15	2	2	2	NUM
easat-9787	15	3	]	]	PUNCT
easat-9787	15	4	.	.	PUNCT
easat-9787	16	1	the	the	DET
easat-9787	16	2	dw	dw	PROPN
easat-9787	16	3	test	test	NOUN
easat-9787	16	4	has	have	AUX
easat-9787	16	5	become	become	VERB
easat-9787	16	6	a	a	DET
easat-9787	16	7	staple	staple	NOUN
easat-9787	16	8	diagnostic	diagnostic	ADJ
easat-9787	16	9	in	in	ADP
easat-9787	16	10	empirical	empirical	ADJ
easat-9787	16	11	economics	economic	NOUN
easat-9787	16	12	,	,	PUNCT
easat-9787	16	13	routinely	routinely	ADV
easat-9787	16	14	reported	report	VERB
easat-9787	16	15	in	in	ADP
easat-9787	16	16	regression	regression	NOUN
easat-9787	16	17	output	output	NOUN
easat-9787	16	18	to	to	PART
easat-9787	16	19	support	support	VERB
easat-9787	16	20	model	model	NOUN
easat-9787	16	21	adequacy	adequacy	NOUN
easat-9787	16	22	and	and	CCONJ
easat-9787	16	23	to	to	PART
easat-9787	16	24	guide	guide	VERB
easat-9787	16	25	choices	choice	NOUN
easat-9787	16	26	about	about	ADP
easat-9787	16	27	lag	lag	NOUN
easat-9787	16	28	structures	structure	NOUN
easat-9787	16	29	,	,	PUNCT
easat-9787	16	30	standard	standard	ADJ
easat-9787	16	31	errors	error	NOUN
easat-9787	16	32	,	,	PUNCT
easat-9787	16	33	and	and	CCONJ
easat-9787	16	34	model	model	NOUN
easat-9787	16	35	specification	specification	NOUN
easat-9787	16	36	.	.	PUNCT
easat-9787	17	1	despite	despite	SCONJ
easat-9787	17	2	its	its	PRON
easat-9787	17	3	popularity	popularity	NOUN
easat-9787	17	4	,	,	PUNCT
easat-9787	17	5	the	the	DET
easat-9787	17	6	dw	dw	PROPN
easat-9787	17	7	test	test	NOUN
easat-9787	17	8	—	—	PUNCT
easat-9787	17	9	like	like	ADP
easat-9787	17	10	many	many	ADJ
easat-9787	17	11	classical	classical	ADJ
easat-9787	17	12	diagnostics	diagnostic	NOUN
easat-9787	17	13	—	—	PUNCT
easat-9787	17	14	rests	rest	VERB
easat-9787	17	15	on	on	ADP
easat-9787	17	16	ideal	ideal	ADJ
easat-9787	17	17	conditions	condition	NOUN
easat-9787	17	18	rarely	rarely	ADV
easat-9787	17	19	met	meet	VERB
easat-9787	17	20	in	in	ADP
easat-9787	17	21	practical	practical	ADJ
easat-9787	17	22	research	research	NOUN
easat-9787	17	23	.	.	PUNCT
easat-9787	18	1	among	among	ADP
easat-9787	18	2	these	these	PRON
easat-9787	18	3	is	be	AUX
easat-9787	18	4	the	the	DET
easat-9787	18	5	assumption	assumption	NOUN
easat-9787	18	6	that	that	SCONJ
easat-9787	18	7	the	the	DET
easat-9787	18	8	underlying	underlie	VERB
easat-9787	18	9	data	data	NOUN
easat-9787	18	10	structure	structure	NOUN
easat-9787	18	11	and	and	CCONJ
easat-9787	18	12	sampling	sample	VERB
easat-9787	18	13	frequency	frequency	NOUN
easat-9787	18	14	preserve	preserve	VERB
easat-9787	18	15	the	the	DET
easat-9787	18	16	dynamic	dynamic	ADJ
easat-9787	18	17	properties	property	NOUN
easat-9787	18	18	of	of	ADP
easat-9787	18	19	the	the	DET
easat-9787	18	20	process	process	NOUN
easat-9787	18	21	being	be	AUX
easat-9787	18	22	modeled	model	VERB
easat-9787	18	23	.	.	PUNCT
easat-9787	19	1	in	in	ADP
easat-9787	19	2	reality	reality	NOUN
easat-9787	19	3	,	,	PUNCT
easat-9787	19	4	most	most	ADJ
easat-9787	19	5	economic	economic	ADJ
easat-9787	19	6	and	and	CCONJ
easat-9787	19	7	financial	financial	ADJ
easat-9787	19	8	time	time	NOUN
easat-9787	19	9	series	series	PROPN
easat-9787	19	10	undergo	undergo	VERB
easat-9787	19	11	temporal	temporal	ADJ
easat-9787	19	12	aggregation	aggregation	NOUN
easat-9787	19	13	:	:	PUNCT
easat-9787	19	14	the	the	DET
easat-9787	19	15	consolidation	consolidation	NOUN
easat-9787	19	16	of	of	ADP
easat-9787	19	17	high	high	ADJ
easat-9787	19	18	-	-	PUNCT
easat-9787	19	19	frequency	frequency	NOUN
easat-9787	19	20	observations	observation	NOUN
easat-9787	19	21	into	into	ADP
easat-9787	19	22	lower	low	ADJ
easat-9787	19	23	-	-	PUNCT
easat-9787	19	24	frequency	frequency	NOUN
easat-9787	19	25	values	value	NOUN
easat-9787	19	26	,	,	PUNCT
easat-9787	19	27	perhaps	perhaps	ADV
easat-9787	19	28	due	due	ADP
easat-9787	19	29	to	to	ADP
easat-9787	19	30	data	datum	NOUN
easat-9787	19	31	availability	availability	NOUN
easat-9787	19	32	,	,	PUNCT
easat-9787	19	33	model	model	NOUN
easat-9787	19	34	parsimony	parsimony	ADV
easat-9787	19	35	,	,	PUNCT
easat-9787	19	36	or	or	CCONJ
easat-9787	19	37	interpretability	interpretability	NOUN
easat-9787	19	38	concerns	concern	NOUN
easat-9787	19	39	.	.	PUNCT
easat-9787	20	1	for	for	ADP
easat-9787	20	2	instance	instance	NOUN
easat-9787	20	3	,	,	PUNCT
easat-9787	20	4	daily	daily	ADJ
easat-9787	20	5	observations	observation	NOUN
easat-9787	20	6	of	of	ADP
easat-9787	20	7	exchange	exchange	NOUN
easat-9787	20	8	rates	rate	NOUN
easat-9787	20	9	can	can	AUX
easat-9787	20	10	be	be	AUX
easat-9787	20	11	averaged	average	VERB
easat-9787	20	12	to	to	ADP
easat-9787	20	13	weekly	weekly	ADJ
easat-9787	20	14	or	or	CCONJ
easat-9787	20	15	monthly	monthly	ADJ
easat-9787	20	16	frequencies	frequency	NOUN
easat-9787	20	17	,	,	PUNCT
easat-9787	20	18	and	and	CCONJ
easat-9787	20	19	quarterly	quarterly	ADJ
easat-9787	20	20	macroeconomic	macroeconomic	ADJ
easat-9787	20	21	indicators	indicator	NOUN
easat-9787	20	22	can	can	AUX
easat-9787	20	23	be	be	AUX
easat-9787	20	24	formed	form	VERB
easat-9787	20	25	from	from	ADP
easat-9787	20	26	underlying	underlie	VERB
easat-9787	20	27	monthly	monthly	ADJ
easat-9787	20	28	inputs	input	NOUN
easat-9787	20	29	.	.	PUNCT
easat-9787	21	1	these	these	DET
easat-9787	21	2	practices	practice	NOUN
easat-9787	21	3	are	be	AUX
easat-9787	21	4	common	common	ADJ
easat-9787	21	5	,	,	PUNCT
easat-9787	21	6	but	but	CCONJ
easat-9787	21	7	their	their	PRON
easat-9787	21	8	effects	effect	NOUN
easat-9787	21	9	on	on	ADP
easat-9787	21	10	statistical	statistical	ADJ
easat-9787	21	11	inference	inference	NOUN
easat-9787	21	12	are	be	AUX
easat-9787	21	13	subtle	subtle	ADJ
easat-9787	21	14	and	and	CCONJ
easat-9787	21	15	often	often	ADV
easat-9787	21	16	neglected	neglect	VERB
easat-9787	21	17	.	.	PUNCT
easat-9787	22	1	temporal	temporal	ADJ
easat-9787	22	2	aggregation	aggregation	NOUN
easat-9787	22	3	has	have	VERB
easat-9787	22	4	profound	profound	ADJ
easat-9787	22	5	effects	effect	NOUN
easat-9787	22	6	on	on	ADP
easat-9787	22	7	the	the	DET
easat-9787	22	8	statistical	statistical	ADJ
easat-9787	22	9	features	feature	NOUN
easat-9787	22	10	of	of	ADP
easat-9787	22	11	time	time	NOUN
easat-9787	22	12	series	series	NOUN
easat-9787	22	13	models	model	NOUN
easat-9787	22	14	,	,	PUNCT
easat-9787	22	15	including	include	VERB
easat-9787	22	16	the	the	DET
easat-9787	22	17	magnitude	magnitude	NOUN
easat-9787	22	18	and	and	CCONJ
easat-9787	22	19	detectability	detectability	NOUN
easat-9787	22	20	of	of	ADP
easat-9787	22	21	serial	serial	ADJ
easat-9787	22	22	dependence	dependence	NOUN
easat-9787	22	23	.	.	PUNCT
easat-9787	23	1	a	a	DET
easat-9787	23	2	few	few	ADJ
easat-9787	23	3	initial	initial	ADJ
easat-9787	23	4	theoretical	theoretical	ADJ
easat-9787	23	5	studies	study	NOUN
easat-9787	23	6	by	by	ADP
easat-9787	23	7	granger	granger	PROPN
easat-9787	24	1	[	[	X
easat-9787	24	2	3	3	NUM
easat-9787	24	3	]	]	PUNCT
easat-9787	24	4	,	,	PUNCT
easat-9787	24	5	tiao	tiao	NOUN
easat-9787	24	6	and	and	CCONJ
easat-9787	24	7	wei	wei	NOUN
easat-9787	25	1	[	[	X
easat-9787	25	2	4	4	X
easat-9787	25	3	]	]	PUNCT
easat-9787	25	4	and	and	CCONJ
easat-9787	25	5	marcellino	marcellino	NOUN
easat-9787	26	1	[	[	X
easat-9787	26	2	5	5	NUM
easat-9787	26	3	]	]	PUNCT
easat-9787	26	4	demonstrated	demonstrate	VERB
easat-9787	26	5	that	that	SCONJ
easat-9787	26	6	aggregation	aggregation	NOUN
easat-9787	26	7	alters	alter	VERB
easat-9787	26	8	time	time	NOUN
easat-9787	26	9	series	series	PROPN
easat-9787	26	10	spectral	spectral	ADJ
easat-9787	26	11	density	density	PROPN
easat-9787	26	12	,	,	PUNCT
easat-9787	26	13	smooths	smooth	VERB
easat-9787	26	14	dynamic	dynamic	ADJ
easat-9787	26	15	shapes	shape	NOUN
easat-9787	26	16	,	,	PUNCT
easat-9787	26	17	and	and	CCONJ
easat-9787	26	18	may	may	AUX
easat-9787	26	19	induce	induce	VERB
easat-9787	26	20	or	or	CCONJ
easat-9787	26	21	conceal	conceal	VERB
easat-9787	26	22	autoregressive	autoregressive	ADJ
easat-9787	26	23	shapes	shape	NOUN
easat-9787	26	24	.	.	PUNCT
easat-9787	27	1	these	these	DET
easat-9787	27	2	distortions	distortion	NOUN
easat-9787	27	3	compromise	compromise	VERB
easat-9787	27	4	the	the	DET
easat-9787	27	5	validity	validity	NOUN
easat-9787	27	6	of	of	ADP
easat-9787	27	7	conventional	conventional	ADJ
easat-9787	27	8	econometric	econometric	ADJ
easat-9787	27	9	procedures	procedure	NOUN
easat-9787	27	10	,	,	PUNCT
easat-9787	27	11	particularly	particularly	ADV
easat-9787	27	12	residual	residual	ADJ
easat-9787	27	13	https://orcid.org/0000-0002-3188-844x	https://orcid.org/0000-0002-3188-844x	PROPN
easat-9787	27	14	227	227	NUM
easat-9787	27	15	edelweiss	edelweiss	PROPN
easat-9787	27	16	applied	apply	VERB
easat-9787	27	17	science	science	NOUN
easat-9787	27	18	and	and	CCONJ
easat-9787	27	19	technology	technology	NOUN
easat-9787	27	20	issn	issn	PROPN
easat-9787	27	21	:	:	PUNCT
easat-9787	27	22	2576	2576	NUM
easat-9787	27	23	-	-	SYM
easat-9787	27	24	8484	8484	NUM
easat-9787	27	25	vol	vol	NOUN
easat-9787	27	26	.	.	PROPN
easat-9787	28	1	9	9	NUM
easat-9787	28	2	,	,	PUNCT
easat-9787	28	3	no	no	INTJ
easat-9787	28	4	.	.	NOUN
easat-9787	28	5	9	9	NUM
easat-9787	28	6	:	:	SYM
easat-9787	28	7	226	226	NUM
easat-9787	28	8	-	-	SYM
easat-9787	28	9	244	244	NUM
easat-9787	28	10	,	,	PUNCT
easat-9787	28	11	2025	2025	NUM
easat-9787	28	12	doi	doi	NOUN
easat-9787	28	13	:	:	PUNCT
easat-9787	28	14	10.55214/2576	10.55214/2576	NUM
easat-9787	28	15	-	-	PUNCT
easat-9787	28	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	28	17	©	©	PROPN
easat-9787	28	18	2025	2025	NUM
easat-9787	28	19	by	by	ADP
easat-9787	28	20	the	the	DET
easat-9787	28	21	author	author	NOUN
easat-9787	28	22	;	;	PUNCT
easat-9787	28	23	licensee	licensee	PROPN
easat-9787	28	24	learning	learn	VERB
easat-9787	28	25	gate	gate	VERB
easat-9787	28	26	diagnostic	diagnostic	ADJ
easat-9787	28	27	procedures	procedure	NOUN
easat-9787	28	28	.	.	PUNCT
easat-9787	29	1	the	the	DET
easat-9787	29	2	dynamic	dynamic	ADJ
easat-9787	29	3	character	character	NOUN
easat-9787	29	4	of	of	ADP
easat-9787	29	5	temporally	temporally	ADV
easat-9787	29	6	aggregated	aggregate	VERB
easat-9787	29	7	data	datum	NOUN
easat-9787	29	8	may	may	AUX
easat-9787	29	9	strongly	strongly	ADV
easat-9787	29	10	deviate	deviate	VERB
easat-9787	29	11	from	from	ADP
easat-9787	29	12	the	the	DET
easat-9787	29	13	underlying	underlie	VERB
easat-9787	29	14	process	process	NOUN
easat-9787	29	15	,	,	PUNCT
easat-9787	29	16	casting	cast	VERB
easat-9787	29	17	doubt	doubt	NOUN
easat-9787	29	18	on	on	ADP
easat-9787	29	19	inference	inference	NOUN
easat-9787	29	20	,	,	PUNCT
easat-9787	29	21	forecasting	forecasting	NOUN
easat-9787	29	22	,	,	PUNCT
easat-9787	29	23	and	and	CCONJ
easat-9787	29	24	model	model	NOUN
easat-9787	29	25	specification	specification	NOUN
easat-9787	29	26	[	[	X
easat-9787	29	27	6	6	NUM
easat-9787	29	28	]	]	PUNCT
easat-9787	29	29	.	.	PUNCT
easat-9787	30	1	the	the	DET
easat-9787	30	2	durbin	durbin	PROPN
easat-9787	30	3	-	-	PUNCT
easat-9787	30	4	watson	watson	NOUN
easat-9787	30	5	statistic	statistic	NOUN
easat-9787	30	6	is	be	AUX
easat-9787	30	7	particularly	particularly	ADV
easat-9787	30	8	vulnerable	vulnerable	ADJ
easat-9787	30	9	to	to	ADP
easat-9787	30	10	such	such	ADJ
easat-9787	30	11	distortions	distortion	NOUN
easat-9787	30	12	.	.	PUNCT
easat-9787	31	1	used	use	VERB
easat-9787	31	2	to	to	PART
easat-9787	31	3	discover	discover	VERB
easat-9787	31	4	firstorder	firstorder	NOUN
easat-9787	31	5	autocorrelation	autocorrelation	NOUN
easat-9787	31	6	in	in	ADP
easat-9787	31	7	regression	regression	NOUN
easat-9787	31	8	residuals	residual	NOUN
easat-9787	31	9	,	,	PUNCT
easat-9787	31	10	the	the	DET
easat-9787	31	11	dw	dw	PROPN
easat-9787	31	12	test	test	NOUN
easat-9787	31	13	presupposes	presuppose	VERB
easat-9787	31	14	a	a	DET
easat-9787	31	15	specific	specific	ADJ
easat-9787	31	16	structure	structure	NOUN
easat-9787	31	17	in	in	ADP
easat-9787	31	18	the	the	DET
easat-9787	31	19	error	error	NOUN
easat-9787	31	20	term	term	NOUN
easat-9787	31	21	—	—	PUNCT
easat-9787	31	22	the	the	DET
easat-9787	31	23	ar(1	ar(1	NOUN
easat-9787	31	24	)	)	PUNCT
easat-9787	31	25	process	process	NOUN
easat-9787	31	26	,	,	PUNCT
easat-9787	31	27	for	for	ADP
easat-9787	31	28	example	example	NOUN
easat-9787	31	29	—	—	PUNCT
easat-9787	31	30	and	and	CCONJ
easat-9787	31	31	is	be	AUX
easat-9787	31	32	model	model	NOUN
easat-9787	31	33	specification	specification	NOUN
easat-9787	31	34	and	and	CCONJ
easat-9787	31	35	sensitive	sensitive	ADJ
easat-9787	31	36	to	to	ADP
easat-9787	31	37	transformation	transformation	NOUN
easat-9787	31	38	.	.	PUNCT
easat-9787	32	1	temporal	temporal	ADJ
easat-9787	32	2	aggregation	aggregation	NOUN
easat-9787	32	3	,	,	PUNCT
easat-9787	32	4	averaging	averaging	NOUN
easat-9787	32	5	,	,	PUNCT
easat-9787	32	6	or	or	CCONJ
easat-9787	32	7	sampling	sample	VERB
easat-9787	32	8	over	over	ADP
easat-9787	32	9	time	time	NOUN
easat-9787	32	10	has	have	VERB
easat-9787	32	11	the	the	DET
easat-9787	32	12	effect	effect	NOUN
easat-9787	32	13	of	of	ADP
easat-9787	32	14	reducing	reduce	VERB
easat-9787	32	15	short	short	ADJ
easat-9787	32	16	-	-	PUNCT
easat-9787	32	17	run	run	NOUN
easat-9787	32	18	fluctuations	fluctuation	NOUN
easat-9787	32	19	,	,	PUNCT
easat-9787	32	20	reducing	reduce	VERB
easat-9787	32	21	apparent	apparent	ADJ
easat-9787	32	22	serial	serial	ADJ
easat-9787	32	23	correlation	correlation	NOUN
easat-9787	32	24	,	,	PUNCT
easat-9787	32	25	and	and	CCONJ
easat-9787	32	26	reducing	reduce	VERB
easat-9787	32	27	the	the	DET
easat-9787	32	28	power	power	NOUN
easat-9787	32	29	of	of	ADP
easat-9787	32	30	the	the	DET
easat-9787	32	31	dw	dw	PROPN
easat-9787	32	32	test	test	NOUN
easat-9787	32	33	to	to	PART
easat-9787	32	34	detect	detect	VERB
easat-9787	32	35	underlying	underlying	ADJ
easat-9787	32	36	autocorrelation	autocorrelation	NOUN
easat-9787	32	37	.	.	PUNCT
easat-9787	33	1	loss	loss	NOUN
easat-9787	33	2	of	of	ADP
easat-9787	33	3	test	test	NOUN
easat-9787	33	4	power	power	NOUN
easat-9787	33	5	due	due	ADP
easat-9787	33	6	to	to	ADP
easat-9787	33	7	aggregation	aggregation	NOUN
easat-9787	33	8	poses	pose	VERB
easat-9787	33	9	a	a	DET
easat-9787	33	10	risk	risk	NOUN
easat-9787	33	11	of	of	ADP
easat-9787	33	12	type	type	NOUN
easat-9787	33	13	ii	ii	NOUN
easat-9787	33	14	errors	error	NOUN
easat-9787	33	15	:	:	PUNCT
easat-9787	33	16	a	a	DET
easat-9787	33	17	failure	failure	NOUN
easat-9787	33	18	to	to	PART
easat-9787	33	19	reject	reject	VERB
easat-9787	33	20	the	the	DET
easat-9787	33	21	null	null	ADJ
easat-9787	33	22	hypothesis	hypothesis	NOUN
easat-9787	33	23	of	of	ADP
easat-9787	33	24	no	no	DET
easat-9787	33	25	autocorrelation	autocorrelation	NOUN
easat-9787	33	26	when	when	SCONJ
easat-9787	33	27	serial	serial	ADJ
easat-9787	33	28	correlation	correlation	NOUN
easat-9787	33	29	is	be	AUX
easat-9787	33	30	indeed	indeed	ADV
easat-9787	33	31	present	present	ADJ
easat-9787	33	32	.	.	PUNCT
easat-9787	34	1	it	it	PRON
easat-9787	34	2	is	be	AUX
easat-9787	34	3	particularly	particularly	ADV
easat-9787	34	4	important	important	ADJ
easat-9787	34	5	in	in	ADP
easat-9787	34	6	applied	apply	VERB
easat-9787	34	7	research	research	NOUN
easat-9787	34	8	,	,	PUNCT
easat-9787	34	9	where	where	SCONJ
easat-9787	34	10	the	the	DET
easat-9787	34	11	absence	absence	NOUN
easat-9787	34	12	of	of	ADP
easat-9787	34	13	evidence	evidence	NOUN
easat-9787	34	14	regarding	regard	VERB
easat-9787	34	15	autocorrelation	autocorrelation	NOUN
easat-9787	34	16	can	can	AUX
easat-9787	34	17	falsely	falsely	ADV
easat-9787	34	18	suggest	suggest	VERB
easat-9787	34	19	that	that	SCONJ
easat-9787	34	20	a	a	DET
easat-9787	34	21	model	model	NOUN
easat-9787	34	22	is	be	AUX
easat-9787	34	23	appropriately	appropriately	ADV
easat-9787	34	24	specified	specify	VERB
easat-9787	34	25	and	and	CCONJ
easat-9787	34	26	lead	lead	VERB
easat-9787	34	27	to	to	ADP
easat-9787	34	28	inappropriate	inappropriate	ADJ
easat-9787	34	29	inference	inference	NOUN
easat-9787	34	30	regarding	regard	VERB
easat-9787	34	31	economic	economic	ADJ
easat-9787	34	32	dynamics	dynamic	NOUN
easat-9787	34	33	.	.	PUNCT
easat-9787	35	1	this	this	DET
easat-9787	35	2	paper	paper	NOUN
easat-9787	35	3	looks	look	VERB
easat-9787	35	4	into	into	ADP
easat-9787	35	5	the	the	DET
easat-9787	35	6	effect	effect	NOUN
easat-9787	35	7	of	of	ADP
easat-9787	35	8	temporal	temporal	ADJ
easat-9787	35	9	aggregation	aggregation	NOUN
easat-9787	35	10	on	on	ADP
easat-9787	35	11	the	the	DET
easat-9787	35	12	power	power	NOUN
easat-9787	35	13	of	of	ADP
easat-9787	35	14	the	the	DET
easat-9787	35	15	durbin	durbin	ADJ
easat-9787	35	16	-	-	PUNCT
easat-9787	35	17	watson	watson	NOUN
easat-9787	35	18	test	test	NOUN
easat-9787	35	19	.	.	PUNCT
easat-9787	36	1	specifically	specifically	ADV
easat-9787	36	2	,	,	PUNCT
easat-9787	36	3	it	it	PRON
easat-9787	36	4	investigates	investigate	VERB
easat-9787	36	5	whether	whether	SCONJ
easat-9787	36	6	aggregating	aggregate	VERB
easat-9787	36	7	high	high	ADJ
easat-9787	36	8	-	-	PUNCT
easat-9787	36	9	frequency	frequency	NOUN
easat-9787	36	10	time	time	NOUN
easat-9787	36	11	series	series	NOUN
easat-9787	36	12	into	into	ADP
easat-9787	36	13	lower	low	ADJ
easat-9787	36	14	frequencies	frequency	NOUN
easat-9787	36	15	automatically	automatically	ADV
easat-9787	36	16	reduces	reduce	VERB
easat-9787	36	17	the	the	DET
easat-9787	36	18	power	power	NOUN
easat-9787	36	19	of	of	ADP
easat-9787	36	20	the	the	DET
easat-9787	36	21	dw	dw	PROPN
easat-9787	36	22	test	test	NOUN
easat-9787	36	23	to	to	PART
easat-9787	36	24	detect	detect	VERB
easat-9787	36	25	autocorrelation	autocorrelation	NOUN
easat-9787	36	26	,	,	PUNCT
easat-9787	36	27	and	and	CCONJ
easat-9787	36	28	if	if	SCONJ
easat-9787	36	29	so	so	ADV
easat-9787	36	30	,	,	PUNCT
easat-9787	36	31	under	under	ADP
easat-9787	36	32	what	what	DET
easat-9787	36	33	conditions	condition	NOUN
easat-9787	36	34	this	this	DET
easat-9787	36	35	loss	loss	NOUN
easat-9787	36	36	of	of	ADP
easat-9787	36	37	power	power	NOUN
easat-9787	36	38	is	be	AUX
easat-9787	36	39	possible	possible	ADJ
easat-9787	36	40	.	.	PUNCT
easat-9787	37	1	towards	towards	ADP
easat-9787	37	2	this	this	DET
easat-9787	37	3	end	end	NOUN
easat-9787	37	4	,	,	PUNCT
easat-9787	37	5	the	the	DET
easat-9787	37	6	paper	paper	NOUN
easat-9787	37	7	adopts	adopt	VERB
easat-9787	37	8	a	a	DET
easat-9787	37	9	two	two	NUM
easat-9787	37	10	-	-	PUNCT
easat-9787	37	11	pronged	pronged	ADJ
easat-9787	37	12	strategy	strategy	NOUN
easat-9787	37	13	involving	involve	VERB
easat-9787	37	14	monte	monte	PROPN
easat-9787	37	15	carlo	carlo	PROPN
easat-9787	37	16	simulation	simulation	NOUN
easat-9787	37	17	and	and	CCONJ
easat-9787	37	18	empirical	empirical	ADJ
easat-9787	37	19	application	application	NOUN
easat-9787	37	20	.	.	PUNCT
easat-9787	38	1	the	the	DET
easat-9787	38	2	simulation	simulation	NOUN
easat-9787	38	3	facility	facility	NOUN
easat-9787	38	4	generates	generate	VERB
easat-9787	38	5	artificial	artificial	ADJ
easat-9787	38	6	time	time	NOUN
easat-9787	38	7	series	series	NOUN
easat-9787	38	8	that	that	PRON
easat-9787	38	9	are	be	AUX
easat-9787	38	10	subjected	subject	VERB
easat-9787	38	11	to	to	ADP
easat-9787	38	12	controlled	control	VERB
easat-9787	38	13	dynamic	dynamic	ADJ
easat-9787	38	14	patterns	pattern	NOUN
easat-9787	38	15	of	of	ADP
easat-9787	38	16	arbitrary	arbitrary	ADJ
easat-9787	38	17	order	order	NOUN
easat-9787	38	18	levels	level	NOUN
easat-9787	38	19	of	of	ADP
easat-9787	38	20	first	first	ADJ
easat-9787	38	21	-	-	PUNCT
easat-9787	38	22	order	order	NOUN
easat-9787	38	23	autocorrelation	autocorrelation	NOUN
easat-9787	38	24	.	.	PUNCT
easat-9787	39	1	the	the	DET
easat-9787	39	2	series	series	NOUN
easat-9787	39	3	are	be	AUX
easat-9787	39	4	then	then	ADV
easat-9787	39	5	temporally	temporally	ADV
easat-9787	39	6	aggregated	aggregate	VERB
easat-9787	39	7	by	by	ADP
easat-9787	39	8	other	other	ADJ
easat-9787	39	9	schemes	scheme	NOUN
easat-9787	39	10	—	—	PUNCT
easat-9787	39	11	for	for	ADP
easat-9787	39	12	example	example	NOUN
easat-9787	39	13	,	,	PUNCT
easat-9787	39	14	last	last	ADJ
easat-9787	39	15	observation	observation	NOUN
easat-9787	39	16	sampling	sampling	NOUN
easat-9787	39	17	and	and	CCONJ
easat-9787	39	18	straightforward	straightforward	ADJ
easat-9787	39	19	averaging	averaging	NOUN
easat-9787	39	20	—	—	PUNCT
easat-9787	39	21	to	to	PART
easat-9787	39	22	simulate	simulate	VERB
easat-9787	39	23	the	the	DET
easat-9787	39	24	transformation	transformation	NOUN
easat-9787	39	25	from	from	ADP
easat-9787	39	26	daily	daily	ADV
easat-9787	39	27	to	to	ADP
easat-9787	39	28	weekly	weekly	ADJ
easat-9787	39	29	or	or	CCONJ
easat-9787	39	30	monthly	monthly	ADJ
easat-9787	39	31	observations	observation	NOUN
easat-9787	39	32	.	.	PUNCT
easat-9787	40	1	the	the	DET
easat-9787	40	2	dw	dw	PROPN
easat-9787	40	3	test	test	NOUN
easat-9787	40	4	is	be	AUX
easat-9787	40	5	applied	apply	VERB
easat-9787	40	6	at	at	ADP
easat-9787	40	7	all	all	DET
easat-9787	40	8	levels	level	NOUN
easat-9787	40	9	of	of	ADP
easat-9787	40	10	aggregation	aggregation	NOUN
easat-9787	40	11	to	to	PART
easat-9787	40	12	estimate	estimate	VERB
easat-9787	40	13	its	its	PRON
easat-9787	40	14	empirical	empirical	ADJ
easat-9787	40	15	rejection	rejection	NOUN
easat-9787	40	16	rate	rate	NOUN
easat-9787	40	17	and	and	CCONJ
easat-9787	40	18	power	power	NOUN
easat-9787	40	19	,	,	PUNCT
easat-9787	40	20	respectively	respectively	ADV
easat-9787	40	21	,	,	PUNCT
easat-9787	40	22	against	against	ADP
easat-9787	40	23	the	the	DET
easat-9787	40	24	specified	specify	VERB
easat-9787	40	25	dgp	dgp	NOUN
easat-9787	40	26	.	.	PUNCT
easat-9787	41	1	in	in	ADP
easat-9787	41	2	comparing	compare	VERB
easat-9787	41	3	results	result	NOUN
easat-9787	41	4	at	at	ADP
easat-9787	41	5	different	different	ADJ
easat-9787	41	6	levels	level	NOUN
easat-9787	41	7	of	of	ADP
easat-9787	41	8	aggregation	aggregation	NOUN
easat-9787	41	9	,	,	PUNCT
easat-9787	41	10	we	we	PRON
easat-9787	41	11	estimate	estimate	VERB
easat-9787	41	12	how	how	SCONJ
easat-9787	41	13	much	much	ADJ
easat-9787	41	14	the	the	DET
easat-9787	41	15	test	test	NOUN
easat-9787	41	16	’s	’s	PART
easat-9787	41	17	performance	performance	NOUN
easat-9787	41	18	is	be	AUX
easat-9787	41	19	affected	affect	VERB
easat-9787	41	20	when	when	SCONJ
easat-9787	41	21	data	datum	NOUN
easat-9787	41	22	becomes	become	VERB
easat-9787	41	23	smoothed	smooth	VERB
easat-9787	41	24	or	or	CCONJ
easat-9787	41	25	compressed	compress	VERB
easat-9787	41	26	over	over	ADP
easat-9787	41	27	time	time	NOUN
easat-9787	41	28	.	.	PUNCT
easat-9787	42	1	the	the	DET
easat-9787	42	2	second	second	ADJ
easat-9787	42	3	half	half	NOUN
easat-9787	42	4	of	of	ADP
easat-9787	42	5	the	the	DET
easat-9787	42	6	analysis	analysis	NOUN
easat-9787	42	7	applies	apply	VERB
easat-9787	42	8	the	the	DET
easat-9787	42	9	same	same	ADJ
easat-9787	42	10	methodology	methodology	NOUN
easat-9787	42	11	to	to	ADP
easat-9787	42	12	real	real	ADJ
easat-9787	42	13	financial	financial	ADJ
easat-9787	42	14	time	time	NOUN
easat-9787	42	15	series	series	PROPN
easat-9787	42	16	:	:	PUNCT
easat-9787	42	17	i.e.	i.e.	X
easat-9787	42	18	,	,	PUNCT
easat-9787	42	19	the	the	DET
easat-9787	42	20	daily	daily	ADJ
easat-9787	42	21	eur	eur	PROPN
easat-9787	42	22	/	/	SYM
easat-9787	42	23	usd	usd	NOUN
easat-9787	42	24	and	and	CCONJ
easat-9787	42	25	gbp	gbp	ADJ
easat-9787	42	26	/	/	SYM
easat-9787	42	27	usd	usd	NOUN
easat-9787	42	28	exchange	exchange	NOUN
easat-9787	42	29	rates	rate	NOUN
easat-9787	42	30	.	.	PUNCT
easat-9787	43	1	these	these	DET
easat-9787	43	2	two	two	NUM
easat-9787	43	3	exchange	exchange	NOUN
easat-9787	43	4	rates	rate	NOUN
easat-9787	43	5	are	be	AUX
easat-9787	43	6	instances	instance	NOUN
easat-9787	43	7	of	of	ADP
easat-9787	43	8	highly	highly	ADV
easat-9787	43	9	liquid	liquid	ADJ
easat-9787	43	10	,	,	PUNCT
easat-9787	43	11	high	high	ADJ
easat-9787	43	12	-	-	PUNCT
easat-9787	43	13	frequency	frequency	NOUN
easat-9787	43	14	markets	market	NOUN
easat-9787	43	15	,	,	PUNCT
easat-9787	43	16	which	which	PRON
easat-9787	43	17	are	be	AUX
easat-9787	43	18	typically	typically	ADV
easat-9787	43	19	employed	employ	VERB
easat-9787	43	20	to	to	PART
easat-9787	43	21	examine	examine	VERB
easat-9787	43	22	their	their	PRON
easat-9787	43	23	dynamic	dynamic	ADJ
easat-9787	43	24	behavior	behavior	NOUN
easat-9787	43	25	,	,	PUNCT
easat-9787	43	26	policy	policy	NOUN
easat-9787	43	27	interest	interest	NOUN
easat-9787	43	28	,	,	PUNCT
easat-9787	43	29	and	and	CCONJ
easat-9787	43	30	volatility	volatility	NOUN
easat-9787	43	31	clustering	clustering	NOUN
easat-9787	43	32	.	.	PUNCT
easat-9787	44	1	exchange	exchange	NOUN
easat-9787	44	2	rate	rate	NOUN
easat-9787	44	3	data	datum	NOUN
easat-9787	44	4	is	be	AUX
easat-9787	44	5	especially	especially	ADV
easat-9787	44	6	suitable	suitable	ADJ
easat-9787	44	7	for	for	ADP
easat-9787	44	8	this	this	DET
easat-9787	44	9	study	study	NOUN
easat-9787	44	10	because	because	SCONJ
easat-9787	44	11	it	it	PRON
easat-9787	44	12	is	be	AUX
easat-9787	44	13	available	available	ADJ
easat-9787	44	14	at	at	ADP
easat-9787	44	15	fine	fine	ADJ
easat-9787	44	16	temporal	temporal	ADJ
easat-9787	44	17	resolutions	resolution	NOUN
easat-9787	44	18	,	,	PUNCT
easat-9787	44	19	permitting	permit	VERB
easat-9787	44	20	controlled	control	VERB
easat-9787	44	21	aggregation	aggregation	NOUN
easat-9787	44	22	and	and	CCONJ
easat-9787	44	23	the	the	DET
easat-9787	44	24	analysis	analysis	NOUN
easat-9787	44	25	of	of	ADP
easat-9787	44	26	aggregation	aggregation	NOUN
easat-9787	44	27	effects	effect	NOUN
easat-9787	44	28	on	on	ADP
easat-9787	44	29	real	real	ADJ
easat-9787	44	30	-	-	PUNCT
easat-9787	44	31	world	world	NOUN
easat-9787	44	32	dynamics	dynamic	NOUN
easat-9787	44	33	.	.	PUNCT
easat-9787	45	1	by	by	ADP
easat-9787	45	2	estimating	estimate	VERB
easat-9787	45	3	autoregressive	autoregressive	ADJ
easat-9787	45	4	models	model	NOUN
easat-9787	45	5	on	on	ADP
easat-9787	45	6	both	both	CCONJ
easat-9787	45	7	raw	raw	ADJ
easat-9787	45	8	and	and	CCONJ
easat-9787	45	9	aggregated	aggregate	VERB
easat-9787	45	10	series	series	NOUN
easat-9787	45	11	and	and	CCONJ
easat-9787	45	12	applying	apply	VERB
easat-9787	45	13	the	the	DET
easat-9787	45	14	dw	dw	NOUN
easat-9787	45	15	test	test	NOUN
easat-9787	45	16	at	at	ADP
easat-9787	45	17	each	each	DET
easat-9787	45	18	level	level	NOUN
easat-9787	45	19	,	,	PUNCT
easat-9787	45	20	we	we	PRON
easat-9787	45	21	evaluate	evaluate	VERB
easat-9787	45	22	whether	whether	SCONJ
easat-9787	45	23	the	the	DET
easat-9787	45	24	empirical	empirical	ADJ
easat-9787	45	25	distortions	distortion	NOUN
easat-9787	45	26	observed	observe	VERB
easat-9787	45	27	in	in	ADP
easat-9787	45	28	the	the	DET
easat-9787	45	29	simulations	simulation	NOUN
easat-9787	45	30	translate	translate	VERB
easat-9787	45	31	into	into	ADP
easat-9787	45	32	meaningful	meaningful	ADJ
easat-9787	45	33	differences	difference	NOUN
easat-9787	45	34	in	in	ADP
easat-9787	45	35	applied	applied	ADJ
easat-9787	45	36	settings	setting	NOUN
easat-9787	45	37	.	.	PUNCT
easat-9787	46	1	the	the	DET
easat-9787	46	2	empirical	empirical	ADJ
easat-9787	46	3	findings	finding	NOUN
easat-9787	46	4	not	not	PART
easat-9787	46	5	only	only	ADV
easat-9787	46	6	serve	serve	VERB
easat-9787	46	7	to	to	PART
easat-9787	46	8	validate	validate	VERB
easat-9787	46	9	the	the	DET
easat-9787	46	10	simulation	simulation	NOUN
easat-9787	46	11	results	result	NOUN
easat-9787	46	12	but	but	CCONJ
easat-9787	46	13	also	also	ADV
easat-9787	46	14	illustrate	illustrate	VERB
easat-9787	46	15	the	the	DET
easat-9787	46	16	practical	practical	ADJ
easat-9787	46	17	stakes	stake	NOUN
easat-9787	46	18	of	of	ADP
easat-9787	46	19	ignoring	ignore	VERB
easat-9787	46	20	aggregation	aggregation	NOUN
easat-9787	46	21	effects	effect	NOUN
easat-9787	46	22	in	in	ADP
easat-9787	46	23	econometric	econometric	ADJ
easat-9787	46	24	diagnostics	diagnostic	NOUN
easat-9787	46	25	.	.	PUNCT
easat-9787	47	1	by	by	ADP
easat-9787	47	2	doing	do	VERB
easat-9787	47	3	so	so	ADV
easat-9787	47	4	,	,	PUNCT
easat-9787	47	5	the	the	DET
easat-9787	47	6	paper	paper	NOUN
easat-9787	47	7	contributes	contribute	VERB
easat-9787	47	8	to	to	ADP
easat-9787	47	9	several	several	ADJ
easat-9787	47	10	strands	strand	NOUN
easat-9787	47	11	of	of	ADP
easat-9787	47	12	literature	literature	NOUN
easat-9787	47	13	.	.	PUNCT
easat-9787	48	1	it	it	PRON
easat-9787	48	2	contributes	contribute	VERB
easat-9787	48	3	first	first	ADV
easat-9787	48	4	to	to	ADP
easat-9787	48	5	the	the	DET
easat-9787	48	6	rising	rise	VERB
easat-9787	48	7	body	body	NOUN
easat-9787	48	8	of	of	ADP
easat-9787	48	9	work	work	NOUN
easat-9787	48	10	on	on	ADP
easat-9787	48	11	the	the	DET
easat-9787	48	12	implications	implication	NOUN
easat-9787	48	13	of	of	ADP
easat-9787	48	14	temporal	temporal	ADJ
easat-9787	48	15	aggregation	aggregation	NOUN
easat-9787	48	16	for	for	ADP
easat-9787	48	17	time	time	NOUN
easat-9787	48	18	series	series	PROPN
easat-9787	48	19	econometrics	econometric	NOUN
easat-9787	48	20	.	.	PUNCT
easat-9787	49	1	even	even	ADV
easat-9787	49	2	though	though	SCONJ
easat-9787	49	3	the	the	DET
easat-9787	49	4	older	old	ADJ
easat-9787	49	5	literature	literature	NOUN
easat-9787	49	6	has	have	AUX
easat-9787	49	7	addressed	address	VERB
easat-9787	49	8	the	the	DET
easat-9787	49	9	influence	influence	NOUN
easat-9787	49	10	of	of	ADP
easat-9787	49	11	aggregation	aggregation	NOUN
easat-9787	49	12	on	on	ADP
easat-9787	49	13	cointegration	cointegration	NOUN
easat-9787	49	14	[	[	X
easat-9787	49	15	5	5	NUM
easat-9787	49	16	,	,	PUNCT
easat-9787	49	17	7	7	NUM
easat-9787	49	18	]	]	PUNCT
easat-9787	49	19	unit	unit	NOUN
easat-9787	49	20	root	root	NOUN
easat-9787	49	21	testing	testing	NOUN
easat-9787	50	1	[	[	X
easat-9787	50	2	8	8	NUM
easat-9787	50	3	]	]	PUNCT
easat-9787	50	4	and	and	CCONJ
easat-9787	50	5	volatility	volatility	NOUN
easat-9787	50	6	modeling	model	VERB
easat-9787	50	7	[	[	X
easat-9787	50	8	9	9	NUM
easat-9787	50	9	]	]	X
easat-9787	50	10	residual	residual	ADJ
easat-9787	50	11	-	-	PUNCT
easat-9787	50	12	based	base	VERB
easat-9787	50	13	tests	test	NOUN
easat-9787	50	14	such	such	ADJ
easat-9787	50	15	as	as	ADP
easat-9787	50	16	the	the	DET
easat-9787	50	17	dw	dw	PROPN
easat-9787	50	18	test	test	NOUN
easat-9787	50	19	have	have	AUX
easat-9787	50	20	attracted	attract	VERB
easat-9787	50	21	less	less	ADJ
easat-9787	50	22	attention	attention	NOUN
easat-9787	50	23	.	.	PUNCT
easat-9787	51	1	lastly	lastly	ADV
easat-9787	51	2	,	,	PUNCT
easat-9787	51	3	the	the	DET
easat-9787	51	4	article	article	NOUN
easat-9787	51	5	contributes	contribute	VERB
easat-9787	51	6	to	to	ADP
easat-9787	51	7	methodological	methodological	ADJ
easat-9787	51	8	debates	debate	NOUN
easat-9787	51	9	on	on	ADP
easat-9787	51	10	model	model	NOUN
easat-9787	51	11	misspecification	misspecification	NOUN
easat-9787	51	12	and	and	CCONJ
easat-9787	51	13	robustness	robustness	NOUN
easat-9787	51	14	of	of	ADP
easat-9787	51	15	diagnostics	diagnostic	NOUN
easat-9787	51	16	.	.	PUNCT
easat-9787	52	1	aggregation	aggregation	NOUN
easat-9787	52	2	will	will	AUX
easat-9787	52	3	not	not	PART
easat-9787	52	4	only	only	ADV
easat-9787	52	5	mask	mask	VERB
easat-9787	52	6	autocorrelation	autocorrelation	NOUN
easat-9787	52	7	but	but	CCONJ
easat-9787	52	8	also	also	ADV
easat-9787	52	9	create	create	VERB
easat-9787	52	10	spurious	spurious	ADJ
easat-9787	52	11	model	model	NOUN
easat-9787	52	12	shapes	shape	NOUN
easat-9787	52	13	—	—	PUNCT
easat-9787	52	14	such	such	ADJ
easat-9787	52	15	as	as	ADP
easat-9787	52	16	the	the	DET
easat-9787	52	17	facade	facade	NOUN
easat-9787	52	18	of	of	ADP
easat-9787	52	19	white	white	ADJ
easat-9787	52	20	noise	noise	NOUN
easat-9787	52	21	residuals	residual	NOUN
easat-9787	52	22	or	or	CCONJ
easat-9787	52	23	damped	damped	NOUN
easat-9787	52	24	dynamics	dynamic	NOUN
easat-9787	52	25	—	—	PUNCT
easat-9787	52	26	that	that	PRON
easat-9787	52	27	obscure	obscure	VERB
easat-9787	52	28	the	the	DET
easat-9787	52	29	need	need	NOUN
easat-9787	52	30	for	for	ADP
easat-9787	52	31	more	more	ADV
easat-9787	52	32	involved	involve	VERB
easat-9787	52	33	lag	lag	NOUN
easat-9787	52	34	structures	structure	NOUN
easat-9787	52	35	or	or	CCONJ
easat-9787	52	36	other	other	ADJ
easat-9787	52	37	types	type	NOUN
easat-9787	52	38	of	of	ADP
easat-9787	52	39	estimation	estimation	NOUN
easat-9787	52	40	.	.	PUNCT
easat-9787	53	1	finally	finally	ADV
easat-9787	53	2	,	,	PUNCT
easat-9787	53	3	the	the	DET
easat-9787	53	4	paper	paper	NOUN
easat-9787	53	5	speaks	speak	VERB
easat-9787	53	6	to	to	ADP
easat-9787	53	7	practitioners	practitioner	NOUN
easat-9787	53	8	in	in	ADP
easat-9787	53	9	finance	finance	NOUN
easat-9787	53	10	and	and	CCONJ
easat-9787	53	11	macroeconomics	macroeconomic	NOUN
easat-9787	53	12	who	who	PRON
easat-9787	53	13	utilize	utilize	VERB
easat-9787	53	14	dw	dw	PROPN
easat-9787	53	15	statistics	statistic	NOUN
easat-9787	53	16	as	as	ADP
easat-9787	53	17	a	a	DET
easat-9787	53	18	measure	measure	NOUN
easat-9787	53	19	of	of	ADP
easat-9787	53	20	model	model	NOUN
easat-9787	53	21	fit	fit	PROPN
easat-9787	53	22	,	,	PUNCT
easat-9787	53	23	particularly	particularly	ADV
easat-9787	53	24	when	when	SCONJ
easat-9787	53	25	they	they	PRON
easat-9787	53	26	are	be	AUX
easat-9787	53	27	working	work	VERB
easat-9787	53	28	with	with	ADP
easat-9787	53	29	data	datum	NOUN
easat-9787	53	30	aggregated	aggregate	VERB
easat-9787	53	31	due	due	ADP
easat-9787	53	32	to	to	ADP
easat-9787	53	33	convenience	convenience	NOUN
easat-9787	53	34	or	or	CCONJ
easat-9787	53	35	institutional	institutional	ADJ
easat-9787	53	36	reporting	reporting	NOUN
easat-9787	53	37	needs	need	NOUN
easat-9787	53	38	.	.	PUNCT
easat-9787	54	1	what	what	PRON
easat-9787	54	2	the	the	DET
easat-9787	54	3	erosion	erosion	NOUN
easat-9787	54	4	of	of	ADP
easat-9787	54	5	the	the	DET
easat-9787	54	6	durbin	durbin	ADJ
easat-9787	54	7	-	-	PUNCT
easat-9787	54	8	watson	watson	NOUN
easat-9787	54	9	test	test	NOUN
easat-9787	54	10	power	power	NOUN
easat-9787	54	11	under	under	ADP
easat-9787	54	12	aggregation	aggregation	NOUN
easat-9787	54	13	signifies	signifie	NOUN
easat-9787	54	14	is	be	AUX
easat-9787	54	15	not	not	PART
easat-9787	54	16	just	just	ADV
easat-9787	54	17	a	a	DET
easat-9787	54	18	statistical	statistical	ADJ
easat-9787	54	19	oddity	oddity	NOUN
easat-9787	54	20	—	—	PUNCT
easat-9787	54	21	it	it	PRON
easat-9787	54	22	has	have	VERB
easat-9787	54	23	direct	direct	ADJ
easat-9787	54	24	implications	implication	NOUN
easat-9787	54	25	for	for	ADP
easat-9787	54	26	empirical	empirical	ADJ
easat-9787	54	27	work	work	NOUN
easat-9787	54	28	.	.	PUNCT
easat-9787	55	1	with	with	ADP
easat-9787	55	2	the	the	DET
easat-9787	55	3	times	time	NOUN
easat-9787	55	4	of	of	ADP
easat-9787	55	5	abundant	abundant	ADJ
easat-9787	55	6	data	datum	NOUN
easat-9787	55	7	,	,	PUNCT
easat-9787	55	8	researchers	researcher	NOUN
easat-9787	55	9	can	can	AUX
easat-9787	55	10	now	now	ADV
easat-9787	55	11	engage	engage	VERB
easat-9787	55	12	with	with	ADP
easat-9787	55	13	high	high	ADJ
easat-9787	55	14	-	-	PUNCT
easat-9787	55	15	frequency	frequency	NOUN
easat-9787	55	16	observations	observation	NOUN
easat-9787	55	17	more	more	ADJ
easat-9787	55	18	and	and	CCONJ
easat-9787	55	19	more	more	ADV
easat-9787	55	20	often	often	ADV
easat-9787	55	21	.	.	PUNCT
easat-9787	56	1	however	however	ADV
easat-9787	56	2	,	,	PUNCT
easat-9787	56	3	because	because	SCONJ
easat-9787	56	4	of	of	ADP
easat-9787	56	5	computational	computational	ADJ
easat-9787	56	6	or	or	CCONJ
easat-9787	56	7	even	even	ADV
easat-9787	56	8	practical	practical	ADJ
easat-9787	56	9	limitations	limitation	NOUN
easat-9787	56	10	,	,	PUNCT
easat-9787	56	11	many	many	ADJ
easat-9787	56	12	researchers	researcher	NOUN
easat-9787	56	13	still	still	ADV
easat-9787	56	14	analyze	analyze	VERB
easat-9787	56	15	lower	low	ADJ
easat-9787	56	16	-	-	PUNCT
easat-9787	56	17	frequency	frequency	NOUN
easat-9787	56	18	aggregates	aggregate	NOUN
easat-9787	56	19	.	.	PUNCT
easat-9787	57	1	this	this	DET
easat-9787	57	2	transformation	transformation	NOUN
easat-9787	57	3	,	,	PUNCT
easat-9787	57	4	while	while	SCONJ
easat-9787	57	5	often	often	ADV
easat-9787	57	6	justified	justify	VERB
easat-9787	57	7	,	,	PUNCT
easat-9787	57	8	is	be	AUX
easat-9787	57	9	not	not	PART
easat-9787	57	10	value	value	NOUN
easat-9787	57	11	-	-	PUNCT
easat-9787	57	12	free	free	ADJ
easat-9787	57	13	:	:	PUNCT
easat-9787	57	14	it	it	PRON
easat-9787	57	15	alters	alter	VERB
easat-9787	57	16	the	the	DET
easat-9787	57	17	signal	signal	NOUN
easat-9787	57	18	-	-	PUNCT
easat-9787	57	19	to	to	ADP
easat-9787	57	20	-	-	PUNCT
easat-9787	57	21	noise	noise	NOUN
easat-9787	57	22	ratio	ratio	NOUN
easat-9787	57	23	,	,	PUNCT
easat-9787	57	24	affects	affect	VERB
easat-9787	57	25	serial	serial	ADJ
easat-9787	57	26	correlation	correlation	NOUN
easat-9787	57	27	structure	structure	NOUN
easat-9787	57	28	,	,	PUNCT
easat-9787	57	29	and	and	CCONJ
easat-9787	57	30	remakes	remake	VERB
easat-9787	57	31	the	the	DET
easat-9787	57	32	topography	topography	NOUN
easat-9787	57	33	of	of	ADP
easat-9787	57	34	inference	inference	NOUN
easat-9787	57	35	.	.	PUNCT
easat-9787	58	1	familiarity	familiarity	NOUN
easat-9787	58	2	with	with	ADP
easat-9787	58	3	the	the	DET
easat-9787	58	4	228	228	NUM
easat-9787	58	5	edelweiss	edelweiss	PROPN
easat-9787	58	6	applied	apply	VERB
easat-9787	58	7	science	science	NOUN
easat-9787	58	8	and	and	CCONJ
easat-9787	58	9	technology	technology	NOUN
easat-9787	58	10	issn	issn	PROPN
easat-9787	58	11	:	:	PUNCT
easat-9787	58	12	2576	2576	NUM
easat-9787	58	13	-	-	SYM
easat-9787	58	14	8484	8484	NUM
easat-9787	58	15	vol	vol	NOUN
easat-9787	58	16	.	.	PROPN
easat-9787	59	1	9	9	NUM
easat-9787	59	2	,	,	PUNCT
easat-9787	59	3	no	no	INTJ
easat-9787	59	4	.	.	NOUN
easat-9787	59	5	9	9	NUM
easat-9787	59	6	:	:	SYM
easat-9787	59	7	226	226	NUM
easat-9787	59	8	-	-	SYM
easat-9787	59	9	244	244	NUM
easat-9787	59	10	,	,	PUNCT
easat-9787	59	11	2025	2025	NUM
easat-9787	59	12	doi	doi	NOUN
easat-9787	59	13	:	:	PUNCT
easat-9787	59	14	10.55214/2576	10.55214/2576	NUM
easat-9787	59	15	-	-	PUNCT
easat-9787	59	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	59	17	©	©	PROPN
easat-9787	59	18	2025	2025	NUM
easat-9787	59	19	by	by	ADP
easat-9787	59	20	the	the	DET
easat-9787	59	21	author	author	NOUN
easat-9787	59	22	;	;	PUNCT
easat-9787	59	23	licensee	licensee	PROPN
easat-9787	59	24	learning	learn	VERB
easat-9787	59	25	gate	gate	NOUN
easat-9787	59	26	limitations	limitation	NOUN
easat-9787	59	27	of	of	ADP
easat-9787	59	28	classical	classical	ADJ
easat-9787	59	29	diagnostics	diagnostic	NOUN
easat-9787	59	30	like	like	ADP
easat-9787	59	31	the	the	DET
easat-9787	59	32	dw	dw	PROPN
easat-9787	59	33	test	test	NOUN
easat-9787	59	34	in	in	ADP
easat-9787	59	35	such	such	ADJ
easat-9787	59	36	cases	case	NOUN
easat-9787	59	37	is	be	AUX
easat-9787	59	38	crucial	crucial	ADJ
easat-9787	59	39	for	for	ADP
easat-9787	59	40	good	good	ADJ
easat-9787	59	41	empirical	empirical	ADJ
easat-9787	59	42	practice	practice	NOUN
easat-9787	59	43	.	.	PUNCT
easat-9787	60	1	as	as	SCONJ
easat-9787	60	2	lo	lo	PROPN
easat-9787	60	3	and	and	CCONJ
easat-9787	60	4	craig	craig	PROPN
easat-9787	60	5	mackinlay	mackinlay	PROPN
easat-9787	60	6	[	[	X
easat-9787	60	7	10	10	NUM
easat-9787	60	8	]	]	PUNCT
easat-9787	60	9	have	have	AUX
easat-9787	60	10	shown	show	VERB
easat-9787	60	11	,	,	PUNCT
easat-9787	60	12	slight	slight	ADJ
easat-9787	60	13	departures	departure	NOUN
easat-9787	60	14	from	from	ADP
easat-9787	60	15	optimum	optimum	ADJ
easat-9787	60	16	conditions	condition	NOUN
easat-9787	60	17	can	can	AUX
easat-9787	60	18	have	have	VERB
easat-9787	60	19	extreme	extreme	ADJ
easat-9787	60	20	inference	inference	NOUN
easat-9787	60	21	errors	error	NOUN
easat-9787	60	22	,	,	PUNCT
easat-9787	60	23	especially	especially	ADV
easat-9787	60	24	where	where	SCONJ
easat-9787	60	25	dynamics	dynamic	NOUN
easat-9787	60	26	dominate	dominate	VERB
easat-9787	60	27	the	the	DET
easat-9787	60	28	question	question	NOUN
easat-9787	60	29	asked	ask	VERB
easat-9787	60	30	.	.	PUNCT
easat-9787	61	1	the	the	DET
easat-9787	61	2	rest	rest	NOUN
easat-9787	61	3	of	of	ADP
easat-9787	61	4	the	the	DET
easat-9787	61	5	paper	paper	NOUN
easat-9787	61	6	is	be	AUX
easat-9787	61	7	structured	structure	VERB
easat-9787	61	8	as	as	SCONJ
easat-9787	61	9	follows	follow	VERB
easat-9787	61	10	.	.	PUNCT
easat-9787	62	1	section	section	NOUN
easat-9787	62	2	2	2	NUM
easat-9787	62	3	gives	give	VERB
easat-9787	62	4	an	an	DET
easat-9787	62	5	overview	overview	NOUN
easat-9787	62	6	of	of	ADP
easat-9787	62	7	the	the	DET
easat-9787	62	8	theoretical	theoretical	ADJ
easat-9787	62	9	and	and	CCONJ
easat-9787	62	10	empirical	empirical	ADJ
easat-9787	62	11	literature	literature	NOUN
easat-9787	62	12	on	on	ADP
easat-9787	62	13	temporal	temporal	ADJ
easat-9787	62	14	aggregation	aggregation	NOUN
easat-9787	62	15	,	,	PUNCT
easat-9787	62	16	testing	testing	NOUN
easat-9787	62	17	for	for	ADP
easat-9787	62	18	autocorrelation	autocorrelation	NOUN
easat-9787	62	19	,	,	PUNCT
easat-9787	62	20	and	and	CCONJ
easat-9787	62	21	durbin	durbin	ADJ
easat-9787	62	22	-	-	PUNCT
easat-9787	62	23	watson	watson	NOUN
easat-9787	62	24	diagnostics	diagnostic	NOUN
easat-9787	62	25	.	.	PUNCT
easat-9787	63	1	section	section	NOUN
easat-9787	63	2	3	3	NUM
easat-9787	63	3	describes	describe	VERB
easat-9787	63	4	the	the	DET
easat-9787	63	5	monte	monte	PROPN
easat-9787	63	6	carlo	carlo	PROPN
easat-9787	63	7	simulation	simulation	PROPN
easat-9787	63	8	experiment	experiment	NOUN
easat-9787	63	9	,	,	PUNCT
easat-9787	63	10	including	include	VERB
easat-9787	63	11	data	data	NOUN
easat-9787	63	12	-	-	PUNCT
easat-9787	63	13	generating	generate	VERB
easat-9787	63	14	procedures	procedure	NOUN
easat-9787	63	15	,	,	PUNCT
easat-9787	63	16	practices	practice	NOUN
easat-9787	63	17	of	of	ADP
easat-9787	63	18	aggregation	aggregation	NOUN
easat-9787	63	19	,	,	PUNCT
easat-9787	63	20	and	and	CCONJ
easat-9787	63	21	test	test	NOUN
easat-9787	63	22	behavior	behavior	NOUN
easat-9787	63	23	.	.	PUNCT
easat-9787	64	1	section	section	NOUN
easat-9787	64	2	4	4	NUM
easat-9787	64	3	presents	present	VERB
easat-9787	64	4	the	the	DET
easat-9787	64	5	simulation	simulation	NOUN
easat-9787	64	6	outcomes	outcome	NOUN
easat-9787	64	7	,	,	PUNCT
easat-9787	64	8	pointing	point	VERB
easat-9787	64	9	out	out	ADP
easat-9787	64	10	how	how	SCONJ
easat-9787	64	11	power	power	NOUN
easat-9787	64	12	for	for	ADP
easat-9787	64	13	the	the	DET
easat-9787	64	14	test	test	NOUN
easat-9787	64	15	declines	decline	VERB
easat-9787	64	16	with	with	ADP
easat-9787	64	17	more	more	ADJ
easat-9787	64	18	aggregation	aggregation	NOUN
easat-9787	64	19	and	and	CCONJ
easat-9787	64	20	under	under	ADP
easat-9787	64	21	what	what	DET
easat-9787	64	22	circumstances	circumstance	NOUN
easat-9787	64	23	false	false	ADJ
easat-9787	64	24	negatives	negative	NOUN
easat-9787	64	25	are	be	AUX
easat-9787	64	26	most	most	ADV
easat-9787	64	27	pronounced	pronounce	VERB
easat-9787	64	28	.	.	PUNCT
easat-9787	65	1	section	section	NOUN
easat-9787	65	2	5	5	NUM
easat-9787	65	3	deals	deal	NOUN
easat-9787	65	4	with	with	ADP
easat-9787	65	5	empirical	empirical	ADJ
easat-9787	65	6	application	application	NOUN
easat-9787	65	7	,	,	PUNCT
easat-9787	65	8	considering	consider	VERB
easat-9787	65	9	the	the	DET
easat-9787	65	10	daily	daily	ADJ
easat-9787	65	11	eur	eur	PROPN
easat-9787	65	12	/	/	SYM
easat-9787	65	13	usd	usd	NOUN
easat-9787	65	14	and	and	CCONJ
easat-9787	65	15	gbp	gbp	ADJ
easat-9787	65	16	/	/	SYM
easat-9787	65	17	usd	usd	NOUN
easat-9787	65	18	exchange	exchange	NOUN
easat-9787	65	19	rates	rate	NOUN
easat-9787	65	20	and	and	CCONJ
easat-9787	65	21	observing	observe	VERB
easat-9787	65	22	how	how	SCONJ
easat-9787	65	23	dw	dw	PROPN
easat-9787	65	24	statistics	statistic	NOUN
easat-9787	65	25	vary	vary	VERB
easat-9787	65	26	under	under	ADP
easat-9787	65	27	greater	great	ADJ
easat-9787	65	28	aggregation	aggregation	NOUN
easat-9787	65	29	.	.	PUNCT
easat-9787	66	1	section	section	NOUN
easat-9787	66	2	6	6	NUM
easat-9787	66	3	offers	offer	VERB
easat-9787	66	4	a	a	DET
easat-9787	66	5	critical	critical	ADJ
easat-9787	66	6	interpretation	interpretation	NOUN
easat-9787	66	7	of	of	ADP
easat-9787	66	8	results	result	NOUN
easat-9787	66	9	,	,	PUNCT
easat-9787	66	10	implications	implication	NOUN
easat-9787	66	11	for	for	ADP
easat-9787	66	12	applied	apply	VERB
easat-9787	66	13	modeling	modeling	NOUN
easat-9787	66	14	,	,	PUNCT
easat-9787	66	15	and	and	CCONJ
easat-9787	66	16	avenues	avenue	NOUN
easat-9787	66	17	for	for	ADP
easat-9787	66	18	future	future	ADJ
easat-9787	66	19	research	research	NOUN
easat-9787	66	20	.	.	PUNCT
easat-9787	67	1	section	section	NOUN
easat-9787	67	2	7	7	NUM
easat-9787	67	3	concludes	conclude	VERB
easat-9787	67	4	.	.	PUNCT
easat-9787	68	1	2	2	X
easat-9787	68	2	.	.	X
easat-9787	68	3	literature	literature	NOUN
easat-9787	68	4	review	review	VERB
easat-9787	68	5	the	the	DET
easat-9787	68	6	behavior	behavior	NOUN
easat-9787	68	7	of	of	ADP
easat-9787	68	8	econometric	econometric	ADJ
easat-9787	68	9	test	test	NOUN
easat-9787	68	10	statistics	statistic	NOUN
easat-9787	68	11	under	under	ADP
easat-9787	68	12	data	datum	NOUN
easat-9787	68	13	transformation	transformation	NOUN
easat-9787	68	14	has	have	AUX
easat-9787	68	15	long	long	ADV
easat-9787	68	16	been	be	AUX
easat-9787	68	17	a	a	DET
easat-9787	68	18	central	central	ADJ
easat-9787	68	19	concern	concern	NOUN
easat-9787	68	20	in	in	ADP
easat-9787	68	21	time	time	NOUN
easat-9787	68	22	series	series	PROPN
easat-9787	68	23	analysis	analysis	NOUN
easat-9787	68	24	.	.	PUNCT
easat-9787	69	1	among	among	ADP
easat-9787	69	2	the	the	DET
easat-9787	69	3	most	most	ADV
easat-9787	69	4	consequential	consequential	ADJ
easat-9787	69	5	transformations	transformation	NOUN
easat-9787	69	6	is	be	AUX
easat-9787	69	7	temporal	temporal	ADJ
easat-9787	69	8	aggregation	aggregation	NOUN
easat-9787	69	9	,	,	PUNCT
easat-9787	69	10	the	the	DET
easat-9787	69	11	process	process	NOUN
easat-9787	69	12	by	by	ADP
easat-9787	69	13	which	which	PRON
easat-9787	69	14	high	high	ADJ
easat-9787	69	15	-	-	PUNCT
easat-9787	69	16	frequency	frequency	NOUN
easat-9787	69	17	data	datum	NOUN
easat-9787	69	18	is	be	AUX
easat-9787	69	19	converted	convert	VERB
easat-9787	69	20	into	into	ADP
easat-9787	69	21	lower	low	ADJ
easat-9787	69	22	-	-	PUNCT
easat-9787	69	23	frequency	frequency	NOUN
easat-9787	69	24	series	series	NOUN
easat-9787	69	25	,	,	PUNCT
easat-9787	69	26	often	often	ADV
easat-9787	69	27	through	through	ADP
easat-9787	69	28	averaging	average	VERB
easat-9787	69	29	or	or	CCONJ
easat-9787	69	30	sampling	sample	VERB
easat-9787	69	31	.	.	PUNCT
easat-9787	70	1	while	while	SCONJ
easat-9787	70	2	such	such	ADJ
easat-9787	70	3	aggregation	aggregation	NOUN
easat-9787	70	4	is	be	AUX
easat-9787	70	5	common	common	ADJ
easat-9787	70	6	in	in	ADP
easat-9787	70	7	applied	apply	VERB
easat-9787	70	8	research	research	NOUN
easat-9787	70	9	,	,	PUNCT
easat-9787	70	10	its	its	PRON
easat-9787	70	11	statistical	statistical	ADJ
easat-9787	70	12	consequences	consequence	NOUN
easat-9787	70	13	are	be	AUX
easat-9787	70	14	profound	profound	ADJ
easat-9787	70	15	.	.	PUNCT
easat-9787	71	1	this	this	DET
easat-9787	71	2	literature	literature	NOUN
easat-9787	71	3	review	review	NOUN
easat-9787	71	4	combines	combine	VERB
easat-9787	71	5	classic	classic	ADJ
easat-9787	71	6	and	and	CCONJ
easat-9787	71	7	newer	new	ADJ
easat-9787	71	8	contributions	contribution	NOUN
easat-9787	71	9	in	in	ADP
easat-9787	71	10	four	four	NUM
easat-9787	71	11	sections	section	NOUN
easat-9787	71	12	:	:	PUNCT
easat-9787	71	13	(	(	PUNCT
easat-9787	71	14	i	i	NOUN
easat-9787	71	15	)	)	PUNCT
easat-9787	71	16	statistical	statistical	ADJ
easat-9787	71	17	implications	implication	NOUN
easat-9787	71	18	of	of	ADP
easat-9787	71	19	time	time	NOUN
easat-9787	71	20	aggregation	aggregation	NOUN
easat-9787	71	21	,	,	PUNCT
easat-9787	71	22	(	(	PUNCT
easat-9787	71	23	ii	ii	NOUN
easat-9787	71	24	)	)	PUNCT
easat-9787	71	25	durbin	durbin	ADJ
easat-9787	71	26	-	-	PUNCT
easat-9787	71	27	watson	watson	NOUN
easat-9787	71	28	test	test	NOUN
easat-9787	71	29	properties	property	NOUN
easat-9787	71	30	and	and	CCONJ
easat-9787	71	31	limitations	limitation	NOUN
easat-9787	71	32	,	,	PUNCT
easat-9787	71	33	(	(	PUNCT
easat-9787	71	34	iii	iii	X
easat-9787	71	35	)	)	PUNCT
easat-9787	71	36	autocorrelation	autocorrelation	NOUN
easat-9787	71	37	testing	testing	NOUN
easat-9787	71	38	with	with	ADP
easat-9787	71	39	misspecification	misspecification	NOUN
easat-9787	71	40	and	and	CCONJ
easat-9787	71	41	aggregation	aggregation	NOUN
easat-9787	71	42	,	,	PUNCT
easat-9787	71	43	and	and	CCONJ
easat-9787	71	44	(	(	PUNCT
easat-9787	71	45	iv	iv	X
easat-9787	71	46	)	)	PUNCT
easat-9787	71	47	empirical	empirical	ADJ
easat-9787	71	48	applications	application	NOUN
easat-9787	71	49	to	to	ADP
easat-9787	71	50	diagnostic	diagnostic	ADJ
easat-9787	71	51	erosion	erosion	NOUN
easat-9787	71	52	for	for	ADP
easat-9787	71	53	financial	financial	ADJ
easat-9787	71	54	and	and	CCONJ
easat-9787	71	55	macroeconomic	macroeconomic	ADJ
easat-9787	71	56	time	time	NOUN
easat-9787	71	57	series	series	NOUN
easat-9787	71	58	.	.	PUNCT
easat-9787	72	1	2.1	2.1	NUM
easat-9787	72	2	.	.	PUNCT
easat-9787	72	3	temporal	temporal	ADJ
easat-9787	72	4	aggregation	aggregation	NOUN
easat-9787	72	5	and	and	CCONJ
easat-9787	72	6	dynamic	dynamic	ADJ
easat-9787	72	7	misspecification	misspecification	NOUN
easat-9787	72	8	theoretical	theoretical	ADJ
easat-9787	72	9	consequences	consequence	NOUN
easat-9787	72	10	of	of	ADP
easat-9787	72	11	temporal	temporal	ADJ
easat-9787	72	12	aggregation	aggregation	NOUN
easat-9787	72	13	on	on	ADP
easat-9787	72	14	time	time	NOUN
easat-9787	72	15	series	series	PROPN
easat-9787	72	16	dynamics	dynamic	NOUN
easat-9787	72	17	were	be	AUX
easat-9787	72	18	initially	initially	ADV
easat-9787	72	19	investigated	investigate	VERB
easat-9787	72	20	by	by	ADP
easat-9787	72	21	granger	granger	PROPN
easat-9787	73	1	[	[	X
easat-9787	73	2	3	3	X
easat-9787	73	3	]	]	PUNCT
easat-9787	73	4	who	who	PRON
easat-9787	73	5	demonstrated	demonstrate	VERB
easat-9787	73	6	that	that	SCONJ
easat-9787	73	7	aggregating	aggregate	VERB
easat-9787	73	8	a	a	DET
easat-9787	73	9	stationary	stationary	ADJ
easat-9787	73	10	process	process	NOUN
easat-9787	73	11	tends	tend	VERB
easat-9787	73	12	to	to	PART
easat-9787	73	13	produce	produce	VERB
easat-9787	73	14	a	a	DET
easat-9787	73	15	new	new	ADJ
easat-9787	73	16	stochastic	stochastic	ADJ
easat-9787	73	17	process	process	NOUN
easat-9787	73	18	with	with	ADP
easat-9787	73	19	changed	change	VERB
easat-9787	73	20	memory	memory	NOUN
easat-9787	73	21	properties	property	NOUN
easat-9787	73	22	and	and	CCONJ
easat-9787	73	23	reduced	reduce	VERB
easat-9787	73	24	spectral	spectral	ADJ
easat-9787	73	25	density	density	NOUN
easat-9787	73	26	at	at	ADP
easat-9787	73	27	high	high	ADJ
easat-9787	73	28	frequencies	frequency	NOUN
easat-9787	73	29	.	.	PUNCT
easat-9787	74	1	one	one	NUM
easat-9787	74	2	of	of	ADP
easat-9787	74	3	the	the	DET
easat-9787	74	4	pioneering	pioneer	VERB
easat-9787	74	5	works	work	NOUN
easat-9787	74	6	by	by	ADP
easat-9787	74	7	tiao	tiao	NOUN
easat-9787	74	8	and	and	CCONJ
easat-9787	74	9	wei	wei	NOUN
easat-9787	74	10	[	[	X
easat-9787	74	11	4	4	X
easat-9787	74	12	]	]	PUNCT
easat-9787	74	13	also	also	ADV
easat-9787	74	14	demonstrated	demonstrate	VERB
easat-9787	74	15	that	that	SCONJ
easat-9787	74	16	temporal	temporal	ADJ
easat-9787	74	17	aggregation	aggregation	NOUN
easat-9787	74	18	inaccurately	inaccurately	ADV
easat-9787	74	19	represents	represent	VERB
easat-9787	74	20	arma	arma	NOUN
easat-9787	74	21	forms	form	NOUN
easat-9787	74	22	,	,	PUNCT
easat-9787	74	23	especially	especially	ADV
easat-9787	74	24	if	if	SCONJ
easat-9787	74	25	the	the	DET
easat-9787	74	26	underlying	underlie	VERB
easat-9787	74	27	process	process	NOUN
easat-9787	74	28	involves	involve	VERB
easat-9787	74	29	mixed	mixed	ADJ
easat-9787	74	30	dynamics	dynamic	NOUN
easat-9787	74	31	.	.	PUNCT
easat-9787	75	1	their	their	PRON
easat-9787	75	2	findings	finding	NOUN
easat-9787	75	3	showed	show	VERB
easat-9787	75	4	that	that	SCONJ
easat-9787	75	5	if	if	SCONJ
easat-9787	75	6	an	an	DET
easat-9787	75	7	ar	ar	NOUN
easat-9787	75	8	(	(	PUNCT
easat-9787	75	9	1	1	NUM
easat-9787	75	10	)	)	PUNCT
easat-9787	75	11	process	process	NOUN
easat-9787	75	12	at	at	ADP
easat-9787	75	13	the	the	DET
easat-9787	75	14	daily	daily	ADJ
easat-9787	75	15	frequency	frequency	NOUN
easat-9787	75	16	is	be	AUX
easat-9787	75	17	nearly	nearly	ADV
easat-9787	75	18	an	an	DET
easat-9787	75	19	arma	arma	NOUN
easat-9787	75	20	(	(	PUNCT
easat-9787	75	21	1,1	1,1	NUM
easat-9787	75	22	)	)	PUNCT
easat-9787	75	23	or	or	CCONJ
easat-9787	75	24	even	even	ADV
easat-9787	75	25	a	a	DET
easat-9787	75	26	nearly	nearly	ADV
easat-9787	75	27	white	white	ADJ
easat-9787	75	28	noise	noise	NOUN
easat-9787	75	29	process	process	NOUN
easat-9787	75	30	when	when	SCONJ
easat-9787	75	31	the	the	DET
easat-9787	75	32	frequency	frequency	NOUN
easat-9787	75	33	of	of	ADP
easat-9787	75	34	observation	observation	NOUN
easat-9787	75	35	is	be	AUX
easat-9787	75	36	monthly	monthly	ADV
easat-9787	75	37	.	.	PUNCT
easat-9787	76	1	this	this	PRON
easat-9787	76	2	has	have	VERB
easat-9787	76	3	significant	significant	ADJ
easat-9787	76	4	model	model	NOUN
easat-9787	76	5	identification	identification	NOUN
easat-9787	76	6	,	,	PUNCT
easat-9787	76	7	parameter	parameter	NOUN
easat-9787	76	8	estimation	estimation	NOUN
easat-9787	76	9	,	,	PUNCT
easat-9787	76	10	and	and	CCONJ
easat-9787	76	11	inference	inference	NOUN
easat-9787	76	12	consequences	consequence	NOUN
easat-9787	76	13	.	.	PUNCT
easat-9787	77	1	marcellino	marcellino	NOUN
easat-9787	78	1	[	[	X
easat-9787	78	2	5	5	NUM
easat-9787	78	3	]	]	PUNCT
easat-9787	78	4	then	then	ADV
easat-9787	78	5	took	take	VERB
easat-9787	78	6	this	this	DET
easat-9787	78	7	line	line	NOUN
easat-9787	78	8	of	of	ADP
easat-9787	78	9	research	research	NOUN
easat-9787	78	10	further	far	ADV
easat-9787	78	11	with	with	ADP
easat-9787	78	12	simulation	simulation	NOUN
easat-9787	78	13	experiments	experiment	NOUN
easat-9787	78	14	,	,	PUNCT
easat-9787	78	15	confirming	confirm	VERB
easat-9787	78	16	that	that	SCONJ
easat-9787	78	17	aggregation	aggregation	NOUN
easat-9787	78	18	will	will	AUX
easat-9787	78	19	have	have	VERB
easat-9787	78	20	the	the	DET
easat-9787	78	21	effect	effect	NOUN
easat-9787	78	22	of	of	ADP
easat-9787	78	23	“	"	PUNCT
easat-9787	78	24	flattening	flattening	NOUN
easat-9787	78	25	”	"	PUNCT
easat-9787	78	26	time	time	NOUN
easat-9787	78	27	series	series	NOUN
easat-9787	78	28	by	by	ADP
easat-9787	78	29	dampening	dampen	VERB
easat-9787	78	30	higher	high	ADJ
easat-9787	78	31	-	-	PUNCT
easat-9787	78	32	frequency	frequency	NOUN
easat-9787	78	33	fluctuations	fluctuation	NOUN
easat-9787	78	34	.	.	PUNCT
easat-9787	79	1	his	his	PRON
easat-9787	79	2	work	work	NOUN
easat-9787	79	3	also	also	ADV
easat-9787	79	4	demonstrated	demonstrate	VERB
easat-9787	79	5	how	how	SCONJ
easat-9787	79	6	aggregation	aggregation	NOUN
easat-9787	79	7	can	can	AUX
easat-9787	79	8	conceal	conceal	VERB
easat-9787	79	9	structural	structural	ADJ
easat-9787	79	10	breaks	break	NOUN
easat-9787	79	11	and	and	CCONJ
easat-9787	79	12	downwardly	downwardly	ADJ
easat-9787	79	13	bias	bias	NOUN
easat-9787	79	14	volatility	volatility	NOUN
easat-9787	79	15	.	.	PUNCT
easat-9787	80	1	these	these	DET
easat-9787	80	2	results	result	NOUN
easat-9787	80	3	have	have	AUX
easat-9787	80	4	been	be	AUX
easat-9787	80	5	replicated	replicate	VERB
easat-9787	80	6	in	in	ADP
easat-9787	80	7	research	research	NOUN
easat-9787	80	8	on	on	ADP
easat-9787	80	9	the	the	DET
easat-9787	80	10	effects	effect	NOUN
easat-9787	80	11	of	of	ADP
easat-9787	80	12	aggregation	aggregation	NOUN
easat-9787	80	13	on	on	ADP
easat-9787	80	14	business	business	NOUN
easat-9787	80	15	cycle	cycle	NOUN
easat-9787	80	16	analysis	analysis	NOUN
easat-9787	80	17	[	[	X
easat-9787	80	18	11	11	NUM
easat-9787	80	19	]	]	PUNCT
easat-9787	80	20	forecast	forecast	NOUN
easat-9787	80	21	precision	precision	NOUN
easat-9787	80	22	[	[	X
easat-9787	80	23	12	12	NUM
easat-9787	80	24	]	]	PUNCT
easat-9787	80	25	and	and	CCONJ
easat-9787	80	26	even	even	ADV
easat-9787	80	27	volatility	volatility	NOUN
easat-9787	80	28	modeling	model	VERB
easat-9787	80	29	[	[	X
easat-9787	80	30	9	9	NUM
easat-9787	80	31	]	]	PUNCT
easat-9787	80	32	.	.	PUNCT
easat-9787	81	1	temporal	temporal	ADJ
easat-9787	81	2	aggregation	aggregation	NOUN
easat-9787	81	3	not	not	PART
easat-9787	81	4	only	only	ADV
easat-9787	81	5	changes	change	VERB
easat-9787	81	6	the	the	DET
easat-9787	81	7	data	data	NOUN
easat-9787	81	8	structure	structure	NOUN
easat-9787	81	9	but	but	CCONJ
easat-9787	81	10	also	also	ADV
easat-9787	81	11	generates	generate	VERB
easat-9787	81	12	model	model	NOUN
easat-9787	81	13	misspecification	misspecification	NOUN
easat-9787	81	14	when	when	SCONJ
easat-9787	81	15	researchers	researcher	NOUN
easat-9787	81	16	unwittingly	unwittingly	ADV
easat-9787	81	17	apply	apply	VERB
easat-9787	81	18	models	model	NOUN
easat-9787	81	19	suitable	suitable	ADJ
easat-9787	81	20	for	for	SCONJ
easat-9787	81	21	non	non	ADJ
easat-9787	81	22	-	-	ADJ
easat-9787	81	23	aggregated	aggregated	ADJ
easat-9787	81	24	series	series	NOUN
easat-9787	81	25	to	to	PART
easat-9787	81	26	aggregated	aggregate	VERB
easat-9787	81	27	data	datum	NOUN
easat-9787	81	28	.	.	PUNCT
easat-9787	82	1	granger	granger	PROPN
easat-9787	82	2	and	and	CCONJ
easat-9787	82	3	morris	morris	PROPN
easat-9787	83	1	[	[	X
easat-9787	83	2	13	13	NUM
easat-9787	83	3	]	]	PUNCT
easat-9787	83	4	cautioned	caution	VERB
easat-9787	83	5	that	that	SCONJ
easat-9787	83	6	the	the	DET
easat-9787	83	7	relation	relation	NOUN
easat-9787	83	8	between	between	ADP
easat-9787	83	9	variables	variable	NOUN
easat-9787	83	10	may	may	AUX
easat-9787	83	11	differ	differ	VERB
easat-9787	83	12	across	across	ADP
easat-9787	83	13	levels	level	NOUN
easat-9787	83	14	of	of	ADP
easat-9787	83	15	aggregation	aggregation	NOUN
easat-9787	83	16	,	,	PUNCT
easat-9787	83	17	rendering	render	VERB
easat-9787	83	18	econometric	econometric	ADJ
easat-9787	83	19	interpretations	interpretation	NOUN
easat-9787	83	20	inappropriate	inappropriate	ADJ
easat-9787	83	21	.	.	PUNCT
easat-9787	84	1	barnett	barnett	PROPN
easat-9787	85	1	[	[	X
easat-9787	85	2	14	14	NUM
easat-9787	85	3	]	]	PUNCT
easat-9787	85	4	went	go	VERB
easat-9787	85	5	further	far	ADV
easat-9787	85	6	in	in	ADP
easat-9787	85	7	critiquing	critique	VERB
easat-9787	85	8	that	that	SCONJ
easat-9787	85	9	temporal	temporal	ADJ
easat-9787	85	10	aggregation	aggregation	NOUN
easat-9787	85	11	is	be	AUX
easat-9787	85	12	accompanied	accompany	VERB
easat-9787	85	13	by	by	ADP
easat-9787	85	14	a	a	DET
easat-9787	85	15	form	form	NOUN
easat-9787	85	16	of	of	ADP
easat-9787	85	17	observational	observational	ADJ
easat-9787	85	18	equivalence	equivalence	NOUN
easat-9787	85	19	that	that	PRON
easat-9787	85	20	even	even	ADV
easat-9787	85	21	conceals	conceal	VERB
easat-9787	85	22	important	important	ADJ
easat-9787	85	23	dynamic	dynamic	ADJ
easat-9787	85	24	features	feature	NOUN
easat-9787	85	25	.	.	PUNCT
easat-9787	86	1	such	such	ADJ
easat-9787	86	2	findings	finding	NOUN
easat-9787	86	3	challenge	challenge	VERB
easat-9787	86	4	the	the	DET
easat-9787	86	5	reliability	reliability	NOUN
easat-9787	86	6	of	of	ADP
easat-9787	86	7	diagnostic	diagnostic	ADJ
easat-9787	86	8	tests	test	NOUN
easat-9787	86	9	—	—	PUNCT
easat-9787	86	10	especially	especially	ADV
easat-9787	86	11	those	those	PRON
easat-9787	86	12	that	that	PRON
easat-9787	86	13	are	be	AUX
easat-9787	86	14	sensitive	sensitive	ADJ
easat-9787	86	15	to	to	ADP
easat-9787	86	16	serial	serial	ADJ
easat-9787	86	17	correlation	correlation	NOUN
easat-9787	86	18	—	—	PUNCT
easat-9787	86	19	when	when	SCONJ
easat-9787	86	20	applied	apply	VERB
easat-9787	86	21	to	to	ADP
easat-9787	86	22	aggregated	aggregated	ADJ
easat-9787	86	23	data	datum	NOUN
easat-9787	86	24	.	.	PUNCT
easat-9787	87	1	2.2	2.2	NUM
easat-9787	87	2	.	.	PUNCT
easat-9787	88	1	the	the	DET
easat-9787	88	2	durbin	durbin	PROPN
easat-9787	88	3	-	-	PUNCT
easat-9787	88	4	watson	watson	NOUN
easat-9787	88	5	test	test	NOUN
easat-9787	88	6	:	:	PUNCT
easat-9787	88	7	foundations	foundation	NOUN
easat-9787	88	8	and	and	CCONJ
easat-9787	88	9	limitations	limitation	NOUN
easat-9787	88	10	introduced	introduce	VERB
easat-9787	88	11	by	by	ADP
easat-9787	88	12	durbin	durbin	NOUN
easat-9787	88	13	and	and	CCONJ
easat-9787	88	14	watson	watson	NOUN
easat-9787	89	1	[	[	X
easat-9787	89	2	1	1	NUM
easat-9787	89	3	]	]	PUNCT
easat-9787	89	4	and	and	CCONJ
easat-9787	89	5	durbin	durbin	ADJ
easat-9787	89	6	and	and	CCONJ
easat-9787	89	7	watson	watson	NOUN
easat-9787	89	8	[	[	X
easat-9787	89	9	2	2	NUM
easat-9787	89	10	]	]	PUNCT
easat-9787	89	11	the	the	DET
easat-9787	89	12	dw	dw	PROPN
easat-9787	89	13	test	test	NOUN
easat-9787	89	14	was	be	AUX
easat-9787	89	15	designed	design	VERB
easat-9787	89	16	to	to	PART
easat-9787	89	17	detect	detect	VERB
easat-9787	89	18	first	first	ADJ
easat-9787	89	19	-	-	PUNCT
easat-9787	89	20	order	order	NOUN
easat-9787	89	21	autocorrelation	autocorrelation	NOUN
easat-9787	89	22	in	in	ADP
easat-9787	89	23	the	the	DET
easat-9787	89	24	residuals	residual	NOUN
easat-9787	89	25	of	of	ADP
easat-9787	89	26	linear	linear	ADJ
easat-9787	89	27	regression	regression	NOUN
easat-9787	89	28	models	model	NOUN
easat-9787	89	29	.	.	PUNCT
easat-9787	90	1	it	it	PRON
easat-9787	90	2	is	be	AUX
easat-9787	90	3	calculated	calculate	VERB
easat-9787	90	4	as	as	ADP
easat-9787	90	5	:	:	PUNCT
easat-9787	90	6	dw	dw	X
easat-9787	90	7	=	=	SYM
easat-9787	90	8	∑	∑	PUNCT
easat-9787	90	9	(	(	PUNCT
easat-9787	90	10	(	(	PUNCT
easat-9787	90	11	𝑒−𝑒𝑡−1	𝑒−𝑒𝑡−1	PROPN
easat-9787	90	12	)	)	PUNCT
easat-9787	90	13	)	)	PUNCT
easat-9787	91	1	2𝑇	2𝑇	PROPN
easat-9787	92	1	𝑡=2	𝑡=2	PROPN
easat-9787	92	2	∑	∑	PROPN
easat-9787	92	3	𝑒2𝑇	𝑒2𝑇	PROPN
easat-9787	92	4	𝑡=1	𝑡=1	PROPN
easat-9787	92	5	(	(	PUNCT
easat-9787	92	6	3	3	NUM
easat-9787	92	7	)	)	PUNCT
easat-9787	92	8	229	229	NUM
easat-9787	92	9	edelweiss	edelweiss	PROPN
easat-9787	92	10	applied	apply	VERB
easat-9787	92	11	science	science	NOUN
easat-9787	92	12	and	and	CCONJ
easat-9787	92	13	technology	technology	NOUN
easat-9787	92	14	issn	issn	PROPN
easat-9787	92	15	:	:	PUNCT
easat-9787	92	16	2576	2576	NUM
easat-9787	92	17	-	-	SYM
easat-9787	92	18	8484	8484	NUM
easat-9787	92	19	vol	vol	NOUN
easat-9787	92	20	.	.	PROPN
easat-9787	93	1	9	9	NUM
easat-9787	93	2	,	,	PUNCT
easat-9787	93	3	no	no	INTJ
easat-9787	93	4	.	.	NOUN
easat-9787	93	5	9	9	NUM
easat-9787	93	6	:	:	SYM
easat-9787	93	7	226	226	NUM
easat-9787	93	8	-	-	SYM
easat-9787	93	9	244	244	NUM
easat-9787	93	10	,	,	PUNCT
easat-9787	93	11	2025	2025	NUM
easat-9787	93	12	doi	doi	NOUN
easat-9787	93	13	:	:	PUNCT
easat-9787	93	14	10.55214/2576	10.55214/2576	NUM
easat-9787	93	15	-	-	PUNCT
easat-9787	93	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	93	17	©	©	PROPN
easat-9787	93	18	2025	2025	NUM
easat-9787	93	19	by	by	ADP
easat-9787	93	20	the	the	DET
easat-9787	93	21	author	author	NOUN
easat-9787	93	22	;	;	PUNCT
easat-9787	93	23	licensee	licensee	PROPN
easat-9787	93	24	learning	learning	NOUN
easat-9787	93	25	gate	gate	NOUN
easat-9787	93	26	where	where	SCONJ
easat-9787	93	27	et	et	PROPN
easat-9787	93	28	are	be	AUX
easat-9787	93	29	the	the	DET
easat-9787	93	30	residuals	residual	NOUN
easat-9787	93	31	from	from	ADP
easat-9787	93	32	an	an	DET
easat-9787	93	33	estimated	estimate	VERB
easat-9787	93	34	regression	regression	NOUN
easat-9787	93	35	model	model	NOUN
easat-9787	93	36	.	.	PUNCT
easat-9787	94	1	a	a	DET
easat-9787	94	2	value	value	NOUN
easat-9787	94	3	of	of	ADP
easat-9787	94	4	2	2	NUM
easat-9787	94	5	indicates	indicate	VERB
easat-9787	94	6	no	no	DET
easat-9787	94	7	autocorrelation	autocorrelation	NOUN
easat-9787	94	8	;	;	PUNCT
easat-9787	94	9	values	value	NOUN
easat-9787	94	10	below	below	ADP
easat-9787	94	11	2	2	NUM
easat-9787	94	12	suggest	suggest	VERB
easat-9787	94	13	positive	positive	ADJ
easat-9787	94	14	autocorrelation	autocorrelation	NOUN
easat-9787	94	15	and	and	CCONJ
easat-9787	94	16	values	value	NOUN
easat-9787	94	17	above	above	ADP
easat-9787	94	18	2	2	NUM
easat-9787	94	19	suggest	suggest	VERB
easat-9787	94	20	negative	negative	ADJ
easat-9787	94	21	autocorrelation	autocorrelation	NOUN
easat-9787	94	22	.	.	PUNCT
easat-9787	95	1	the	the	DET
easat-9787	95	2	reason	reason	NOUN
easat-9787	95	3	the	the	DET
easat-9787	95	4	dw	dw	PROPN
easat-9787	95	5	test	test	NOUN
easat-9787	95	6	is	be	AUX
easat-9787	95	7	widely	widely	ADV
easat-9787	95	8	used	use	VERB
easat-9787	95	9	is	be	AUX
easat-9787	95	10	that	that	SCONJ
easat-9787	95	11	it	it	PRON
easat-9787	95	12	is	be	AUX
easat-9787	95	13	convenient	convenient	ADJ
easat-9787	95	14	and	and	CCONJ
easat-9787	95	15	in	in	ADP
easat-9787	95	16	closed	closed	ADJ
easat-9787	95	17	form	form	NOUN
easat-9787	95	18	.	.	PUNCT
easat-9787	96	1	however	however	ADV
easat-9787	96	2	,	,	PUNCT
easat-9787	96	3	the	the	DET
easat-9787	96	4	test	test	NOUN
easat-9787	96	5	is	be	AUX
easat-9787	96	6	not	not	PART
easat-9787	96	7	without	without	ADP
easat-9787	96	8	limitations	limitation	NOUN
easat-9787	96	9	.	.	PUNCT
easat-9787	97	1	firstly	firstly	ADV
easat-9787	97	2	,	,	PUNCT
easat-9787	97	3	the	the	DET
easat-9787	97	4	test	test	NOUN
easat-9787	97	5	is	be	AUX
easat-9787	97	6	invalid	invalid	ADJ
easat-9787	97	7	when	when	SCONJ
easat-9787	97	8	there	there	PRON
easat-9787	97	9	exist	exist	VERB
easat-9787	97	10	lagged	lag	VERB
easat-9787	97	11	dependent	dependent	ADJ
easat-9787	97	12	variables	variable	NOUN
easat-9787	97	13	among	among	ADP
easat-9787	97	14	the	the	DET
easat-9787	97	15	regressors	regressor	NOUN
easat-9787	97	16	—	—	PUNCT
easat-9787	97	17	a	a	DET
easat-9787	97	18	phenomenon	phenomenon	NOUN
easat-9787	97	19	that	that	PRON
easat-9787	97	20	is	be	AUX
easat-9787	97	21	often	often	ADV
easat-9787	97	22	found	find	VERB
easat-9787	97	23	in	in	ADP
easat-9787	97	24	autoregressive	autoregressive	ADJ
easat-9787	97	25	distributed	distribute	VERB
easat-9787	97	26	lag	lag	NOUN
easat-9787	97	27	(	(	PUNCT
easat-9787	97	28	ardl	ardl	NOUN
easat-9787	97	29	)	)	PUNCT
easat-9787	97	30	models	model	NOUN
easat-9787	97	31	[	[	X
easat-9787	97	32	15	15	NUM
easat-9787	97	33	]	]	PUNCT
easat-9787	97	34	.	.	PUNCT
easat-9787	98	1	second	second	ADJ
easat-9787	98	2	,	,	PUNCT
easat-9787	98	3	the	the	DET
easat-9787	98	4	test	test	NOUN
easat-9787	98	5	is	be	AUX
easat-9787	98	6	most	most	ADV
easat-9787	98	7	powerful	powerful	ADJ
easat-9787	98	8	against	against	ADP
easat-9787	98	9	low	low	ADJ
easat-9787	98	10	-	-	PUNCT
easat-9787	98	11	order	order	NOUN
easat-9787	98	12	ar(1	ar(1	NOUN
easat-9787	98	13	)	)	PUNCT
easat-9787	98	14	alternatives	alternative	NOUN
easat-9787	98	15	and	and	CCONJ
easat-9787	98	16	loses	lose	VERB
easat-9787	98	17	power	power	NOUN
easat-9787	98	18	very	very	ADV
easat-9787	98	19	rapidly	rapidly	ADV
easat-9787	98	20	for	for	ADP
easat-9787	98	21	higher	high	ADJ
easat-9787	98	22	-	-	PUNCT
easat-9787	98	23	order	order	NOUN
easat-9787	98	24	or	or	CCONJ
easat-9787	98	25	moving	move	VERB
easat-9787	98	26	-	-	PUNCT
easat-9787	98	27	average	average	NOUN
easat-9787	98	28	processes	process	NOUN
easat-9787	98	29	[	[	X
easat-9787	98	30	16	16	NUM
easat-9787	98	31	]	]	PUNCT
easat-9787	98	32	.	.	PUNCT
easat-9787	99	1	third	third	ADJ
easat-9787	99	2	,	,	PUNCT
easat-9787	99	3	the	the	DET
easat-9787	99	4	test	test	NOUN
easat-9787	99	5	is	be	AUX
easat-9787	99	6	sensitive	sensitive	ADJ
easat-9787	99	7	to	to	ADP
easat-9787	99	8	sample	sample	NOUN
easat-9787	99	9	size	size	NOUN
easat-9787	99	10	as	as	ADV
easat-9787	99	11	well	well	ADV
easat-9787	99	12	and	and	CCONJ
easat-9787	99	13	can	can	AUX
easat-9787	99	14	incur	incur	VERB
easat-9787	99	15	size	size	NOUN
easat-9787	99	16	distortions	distortion	NOUN
easat-9787	99	17	with	with	ADP
easat-9787	99	18	small	small	ADJ
easat-9787	99	19	samples	sample	NOUN
easat-9787	99	20	[	[	X
easat-9787	99	21	17	17	NUM
easat-9787	99	22	]	]	PUNCT
easat-9787	99	23	.	.	PUNCT
easat-9787	100	1	the	the	DET
easat-9787	100	2	dw	dw	PROPN
easat-9787	100	3	statistic	statistic	PROPN
easat-9787	100	4	,	,	PUNCT
easat-9787	100	5	even	even	ADV
easat-9787	100	6	with	with	ADP
easat-9787	100	7	these	these	DET
easat-9787	100	8	widely	widely	ADV
easat-9787	100	9	known	know	VERB
easat-9787	100	10	weaknesses	weakness	NOUN
easat-9787	100	11	,	,	PUNCT
easat-9787	100	12	remains	remain	VERB
easat-9787	100	13	popular	popular	ADJ
easat-9787	100	14	in	in	ADP
easat-9787	100	15	practice	practice	NOUN
easat-9787	100	16	and	and	CCONJ
easat-9787	100	17	is	be	AUX
easat-9787	100	18	conventionally	conventionally	ADV
easat-9787	100	19	interpreted	interpret	VERB
easat-9787	100	20	as	as	ADP
easat-9787	100	21	a	a	DET
easat-9787	100	22	general	general	ADJ
easat-9787	100	23	diagnostic	diagnostic	NOUN
easat-9787	100	24	for	for	ADP
easat-9787	100	25	autocorrelation	autocorrelation	NOUN
easat-9787	100	26	in	in	ADP
easat-9787	100	27	residuals	residual	NOUN
easat-9787	100	28	.	.	PUNCT
easat-9787	101	1	this	this	DET
easat-9787	101	2	practice	practice	NOUN
easat-9787	101	3	still	still	ADV
easat-9787	101	4	happens	happen	VERB
easat-9787	101	5	even	even	ADV
easat-9787	101	6	with	with	ADP
easat-9787	101	7	the	the	DET
easat-9787	101	8	wider	wide	ADJ
easat-9787	101	9	popularity	popularity	NOUN
easat-9787	101	10	of	of	ADP
easat-9787	101	11	other	other	ADJ
easat-9787	101	12	tests	test	NOUN
easat-9787	101	13	such	such	ADJ
easat-9787	101	14	as	as	ADP
easat-9787	101	15	the	the	DET
easat-9787	101	16	breusch	breusch	NOUN
easat-9787	101	17	-	-	PUNCT
easat-9787	101	18	godfrey	godfrey	NOUN
easat-9787	101	19	lm	lm	PROPN
easat-9787	101	20	test	test	PROPN
easat-9787	101	21	[	[	X
easat-9787	101	22	18	18	NUM
easat-9787	101	23	,	,	PUNCT
easat-9787	101	24	19	19	NUM
easat-9787	101	25	]	]	X
easat-9787	101	26	ljung	ljung	PROPN
easat-9787	101	27	-	-	PUNCT
easat-9787	101	28	box	box	NOUN
easat-9787	101	29	test	test	NOUN
easat-9787	101	30	[	[	X
easat-9787	101	31	20	20	NUM
easat-9787	101	32	]	]	PUNCT
easat-9787	101	33	and	and	CCONJ
easat-9787	101	34	portmanteau	portmanteau	ADJ
easat-9787	101	35	q	q	NOUN
easat-9787	101	36	-	-	PUNCT
easat-9787	101	37	tests	test	NOUN
easat-9787	101	38	for	for	ADP
easat-9787	101	39	their	their	PRON
easat-9787	101	40	greater	great	ADJ
easat-9787	101	41	generality	generality	NOUN
easat-9787	101	42	and	and	CCONJ
easat-9787	101	43	applicability	applicability	NOUN
easat-9787	101	44	.	.	PUNCT
easat-9787	102	1	the	the	DET
easat-9787	102	2	widespread	widespread	ADJ
easat-9787	102	3	adoption	adoption	NOUN
easat-9787	102	4	of	of	ADP
easat-9787	102	5	the	the	DET
easat-9787	102	6	dw	dw	PROPN
easat-9787	102	7	test	test	NOUN
easat-9787	102	8	in	in	ADP
easat-9787	102	9	applied	applied	ADJ
easat-9787	102	10	economics	economic	NOUN
easat-9787	102	11	,	,	PUNCT
easat-9787	102	12	especially	especially	ADV
easat-9787	102	13	in	in	ADP
easat-9787	102	14	financial	financial	ADJ
easat-9787	102	15	and	and	CCONJ
easat-9787	102	16	macroeconomic	macroeconomic	ADJ
easat-9787	102	17	works	work	NOUN
easat-9787	102	18	,	,	PUNCT
easat-9787	102	19	underscores	underscore	VERB
easat-9787	102	20	the	the	DET
easat-9787	102	21	importance	importance	NOUN
easat-9787	102	22	of	of	ADP
easat-9787	102	23	knowing	know	VERB
easat-9787	102	24	the	the	DET
easat-9787	102	25	credibility	credibility	NOUN
easat-9787	102	26	of	of	ADP
easat-9787	102	27	the	the	DET
easat-9787	102	28	test	test	NOUN
easat-9787	102	29	under	under	ADP
easat-9787	102	30	alternative	alternative	ADJ
easat-9787	102	31	data	datum	NOUN
easat-9787	102	32	transformations	transformation	NOUN
easat-9787	102	33	,	,	PUNCT
easat-9787	102	34	e.g.	e.g.	ADV
easat-9787	102	35	,	,	PUNCT
easat-9787	102	36	temporal	temporal	ADJ
easat-9787	102	37	aggregation	aggregation	NOUN
easat-9787	102	38	.	.	PUNCT
easat-9787	103	1	2.3	2.3	NUM
easat-9787	103	2	.	.	X
easat-9787	103	3	autocorrelation	autocorrelation	NOUN
easat-9787	103	4	testing	testing	NOUN
easat-9787	103	5	under	under	ADP
easat-9787	103	6	aggregation	aggregation	NOUN
easat-9787	103	7	and	and	CCONJ
easat-9787	103	8	misspecification	misspecification	NOUN
easat-9787	103	9	temporal	temporal	ADJ
easat-9787	103	10	aggregation	aggregation	NOUN
easat-9787	103	11	has	have	VERB
easat-9787	103	12	a	a	DET
easat-9787	103	13	nontrivial	nontrivial	ADJ
easat-9787	103	14	interaction	interaction	NOUN
easat-9787	103	15	with	with	ADP
easat-9787	103	16	autocorrelation	autocorrelation	NOUN
easat-9787	103	17	.	.	PUNCT
easat-9787	104	1	there	there	PRON
easat-9787	104	2	have	have	AUX
easat-9787	104	3	been	be	AUX
easat-9787	104	4	findings	finding	NOUN
easat-9787	104	5	showing	show	VERB
easat-9787	104	6	that	that	DET
easat-9787	104	7	aggregation	aggregation	NOUN
easat-9787	104	8	will	will	AUX
easat-9787	104	9	reduce	reduce	VERB
easat-9787	104	10	the	the	DET
easat-9787	104	11	observed	observe	VERB
easat-9787	104	12	serial	serial	ADJ
easat-9787	104	13	correlation	correlation	NOUN
easat-9787	104	14	of	of	ADP
easat-9787	104	15	a	a	DET
easat-9787	104	16	time	time	NOUN
easat-9787	104	17	series	series	NOUN
easat-9787	104	18	by	by	ADP
easat-9787	104	19	smoothing	smooth	VERB
easat-9787	104	20	temporary	temporary	ADJ
easat-9787	104	21	movements	movement	NOUN
easat-9787	104	22	.	.	PUNCT
easat-9787	105	1	this	this	DET
easat-9787	105	2	effect	effect	NOUN
easat-9787	105	3	is	be	AUX
easat-9787	105	4	worse	bad	ADJ
easat-9787	105	5	when	when	SCONJ
easat-9787	105	6	aggregation	aggregation	NOUN
easat-9787	105	7	by	by	ADP
easat-9787	105	8	averaging	average	VERB
easat-9787	105	9	is	be	AUX
easat-9787	105	10	used	use	VERB
easat-9787	105	11	rather	rather	ADV
easat-9787	105	12	than	than	ADP
easat-9787	105	13	sampling	sample	VERB
easat-9787	105	14	[	[	X
easat-9787	105	15	21	21	NUM
easat-9787	105	16	]	]	PUNCT
easat-9787	105	17	.	.	PUNCT
easat-9787	106	1	in	in	ADP
easat-9787	106	2	such	such	ADJ
easat-9787	106	3	situations	situation	NOUN
easat-9787	106	4	,	,	PUNCT
easat-9787	106	5	the	the	DET
easat-9787	106	6	true	true	ADJ
easat-9787	106	7	autocorrelation	autocorrelation	NOUN
easat-9787	106	8	structure	structure	NOUN
easat-9787	106	9	may	may	AUX
easat-9787	106	10	be	be	AUX
easat-9787	106	11	concealed	conceal	VERB
easat-9787	106	12	,	,	PUNCT
easat-9787	106	13	and	and	CCONJ
easat-9787	106	14	spurious	spurious	ADJ
easat-9787	106	15	inference	inference	NOUN
easat-9787	106	16	arises	arise	VERB
easat-9787	106	17	.	.	PUNCT
easat-9787	107	1	hurvich	hurvich	NOUN
easat-9787	107	2	and	and	CCONJ
easat-9787	107	3	tsai	tsai	PROPN
easat-9787	108	1	[	[	X
easat-9787	108	2	22	22	NUM
easat-9787	108	3	]	]	PUNCT
easat-9787	108	4	addressed	address	VERB
easat-9787	108	5	misspecification	misspecification	NOUN
easat-9787	108	6	of	of	ADP
easat-9787	108	7	models	model	NOUN
easat-9787	108	8	and	and	CCONJ
easat-9787	108	9	the	the	DET
easat-9787	108	10	behavior	behavior	NOUN
easat-9787	108	11	of	of	ADP
easat-9787	108	12	autocorrelation	autocorrelation	NOUN
easat-9787	108	13	tests	test	NOUN
easat-9787	108	14	in	in	ADP
easat-9787	108	15	such	such	DET
easat-9787	108	16	a	a	DET
easat-9787	108	17	way	way	NOUN
easat-9787	108	18	that	that	PRON
easat-9787	108	19	they	they	PRON
easat-9787	108	20	showed	show	VERB
easat-9787	108	21	how	how	SCONJ
easat-9787	108	22	tests	test	NOUN
easat-9787	108	23	such	such	ADJ
easat-9787	108	24	as	as	ADP
easat-9787	108	25	the	the	DET
easat-9787	108	26	dw	dw	PROPN
easat-9787	108	27	and	and	CCONJ
easat-9787	108	28	lm	lm	NUM
easat-9787	108	29	tests	test	NOUN
easat-9787	108	30	can	can	AUX
easat-9787	108	31	be	be	AUX
easat-9787	108	32	highly	highly	ADV
easat-9787	108	33	biased	biased	ADJ
easat-9787	108	34	if	if	SCONJ
easat-9787	108	35	the	the	DET
easat-9787	108	36	underlying	underlie	VERB
easat-9787	108	37	model	model	NOUN
easat-9787	108	38	does	do	AUX
easat-9787	108	39	not	not	PART
easat-9787	108	40	correctly	correctly	ADV
easat-9787	108	41	capture	capture	VERB
easat-9787	108	42	the	the	DET
easat-9787	108	43	dynamics	dynamic	NOUN
easat-9787	108	44	of	of	ADP
easat-9787	108	45	the	the	DET
easat-9787	108	46	data	datum	NOUN
easat-9787	108	47	.	.	PUNCT
easat-9787	109	1	rao	rao	NOUN
easat-9787	109	2	and	and	CCONJ
easat-9787	109	3	griliches	griliche	VERB
easat-9787	110	1	[	[	X
easat-9787	110	2	23	23	NUM
easat-9787	110	3	]	]	PUNCT
easat-9787	110	4	further	far	ADV
easat-9787	110	5	stated	state	VERB
easat-9787	110	6	that	that	SCONJ
easat-9787	110	7	residual	residual	ADJ
easat-9787	110	8	-	-	PUNCT
easat-9787	110	9	based	base	VERB
easat-9787	110	10	tests	test	NOUN
easat-9787	110	11	are	be	AUX
easat-9787	110	12	especially	especially	ADV
easat-9787	110	13	vulnerable	vulnerable	ADJ
easat-9787	110	14	to	to	ADP
easat-9787	110	15	omitted	omit	VERB
easat-9787	110	16	variable	variable	ADJ
easat-9787	110	17	bias	bias	NOUN
easat-9787	110	18	and	and	CCONJ
easat-9787	110	19	truncation	truncation	NOUN
easat-9787	110	20	of	of	ADP
easat-9787	110	21	the	the	DET
easat-9787	110	22	lag	lag	NOUN
easat-9787	110	23	,	,	PUNCT
easat-9787	110	24	situations	situation	NOUN
easat-9787	110	25	that	that	PRON
easat-9787	110	26	can	can	AUX
easat-9787	110	27	be	be	AUX
easat-9787	110	28	aggravated	aggravate	VERB
easat-9787	110	29	by	by	ADP
easat-9787	110	30	aggregation	aggregation	NOUN
easat-9787	110	31	.	.	PUNCT
easat-9787	111	1	chang	chang	PROPN
easat-9787	111	2	and	and	CCONJ
easat-9787	111	3	park	park	NOUN
easat-9787	111	4	[	[	X
easat-9787	111	5	8	8	NUM
easat-9787	111	6	]	]	PUNCT
easat-9787	111	7	addressed	address	VERB
easat-9787	111	8	the	the	DET
easat-9787	111	9	effect	effect	NOUN
easat-9787	111	10	of	of	ADP
easat-9787	111	11	aggregation	aggregation	NOUN
easat-9787	111	12	on	on	ADP
easat-9787	111	13	unit	unit	NOUN
easat-9787	111	14	root	root	NOUN
easat-9787	111	15	and	and	CCONJ
easat-9787	111	16	cointegration	cointegration	NOUN
easat-9787	111	17	testing	testing	NOUN
easat-9787	111	18	and	and	CCONJ
easat-9787	111	19	concluded	conclude	VERB
easat-9787	111	20	that	that	SCONJ
easat-9787	111	21	aggregation	aggregation	NOUN
easat-9787	111	22	makes	make	VERB
easat-9787	111	23	tests	test	NOUN
easat-9787	111	24	against	against	ADP
easat-9787	111	25	stationarity	stationarity	NOUN
easat-9787	111	26	and	and	CCONJ
easat-9787	111	27	reduces	reduce	VERB
easat-9787	111	28	the	the	DET
easat-9787	111	29	power	power	NOUN
easat-9787	111	30	of	of	ADP
easat-9787	111	31	cointegration	cointegration	NOUN
easat-9787	111	32	testing	testing	NOUN
easat-9787	111	33	.	.	PUNCT
easat-9787	112	1	while	while	SCONJ
easat-9787	112	2	they	they	PRON
easat-9787	112	3	were	be	AUX
easat-9787	112	4	not	not	PART
easat-9787	112	5	especially	especially	ADV
easat-9787	112	6	focused	focus	VERB
easat-9787	112	7	on	on	ADP
easat-9787	112	8	autocorrelation	autocorrelation	NOUN
easat-9787	112	9	,	,	PUNCT
easat-9787	112	10	their	their	PRON
easat-9787	112	11	results	result	NOUN
easat-9787	112	12	suggest	suggest	VERB
easat-9787	112	13	that	that	SCONJ
easat-9787	112	14	a	a	DET
easat-9787	112	15	similar	similar	ADJ
easat-9787	112	16	loss	loss	NOUN
easat-9787	112	17	of	of	ADP
easat-9787	112	18	power	power	NOUN
easat-9787	112	19	in	in	ADP
easat-9787	112	20	residual	residual	ADJ
easat-9787	112	21	tests	test	NOUN
easat-9787	112	22	like	like	ADP
easat-9787	112	23	the	the	DET
easat-9787	112	24	dw	dw	PROPN
easat-9787	112	25	test	test	NOUN
easat-9787	112	26	is	be	AUX
easat-9787	112	27	possible	possible	ADJ
easat-9787	112	28	.	.	PUNCT
easat-9787	113	1	along	along	ADP
easat-9787	113	2	the	the	DET
easat-9787	113	3	same	same	ADJ
easat-9787	113	4	lines	line	NOUN
easat-9787	113	5	,	,	PUNCT
easat-9787	113	6	ghysels	ghysel	NOUN
easat-9787	114	1	[	[	X
easat-9787	114	2	6	6	NUM
easat-9787	114	3	]	]	PUNCT
easat-9787	114	4	stressed	stress	VERB
easat-9787	114	5	that	that	PRON
easat-9787	114	6	frequency	frequency	NOUN
easat-9787	114	7	mismatches	mismatch	NOUN
easat-9787	114	8	and	and	CCONJ
easat-9787	114	9	aggregation	aggregation	NOUN
easat-9787	114	10	distortions	distortion	NOUN
easat-9787	114	11	could	could	AUX
easat-9787	114	12	generate	generate	VERB
easat-9787	114	13	erroneous	erroneous	ADJ
easat-9787	114	14	model	model	NOUN
easat-9787	114	15	dynamics	dynamic	NOUN
easat-9787	114	16	,	,	PUNCT
easat-9787	114	17	calling	call	VERB
easat-9787	114	18	for	for	ADP
easat-9787	114	19	mixed	mixed	ADJ
easat-9787	114	20	-	-	PUNCT
easat-9787	114	21	frequency	frequency	NOUN
easat-9787	114	22	modeling	modeling	NOUN
easat-9787	114	23	methods	method	NOUN
easat-9787	114	24	that	that	PRON
easat-9787	114	25	maintain	maintain	VERB
easat-9787	114	26	high	high	ADJ
easat-9787	114	27	-	-	PUNCT
easat-9787	114	28	frequency	frequency	NOUN
easat-9787	114	29	information	information	NOUN
easat-9787	114	30	and	and	CCONJ
easat-9787	114	31	allow	allow	VERB
easat-9787	114	32	for	for	ADP
easat-9787	114	33	low	low	ADJ
easat-9787	114	34	-	-	PUNCT
easat-9787	114	35	frequency	frequency	NOUN
easat-9787	114	36	relationships	relationship	NOUN
easat-9787	114	37	.	.	PUNCT
easat-9787	115	1	there	there	PRON
easat-9787	115	2	have	have	AUX
easat-9787	115	3	been	be	AUX
easat-9787	115	4	few	few	ADJ
easat-9787	115	5	direct	direct	ADJ
easat-9787	115	6	examinations	examination	NOUN
easat-9787	115	7	of	of	ADP
easat-9787	115	8	dw	dw	PROPN
easat-9787	115	9	test	test	NOUN
easat-9787	115	10	power	power	NOUN
easat-9787	115	11	under	under	ADP
easat-9787	115	12	temporal	temporal	ADJ
easat-9787	115	13	aggregation	aggregation	NOUN
easat-9787	115	14	,	,	PUNCT
easat-9787	115	15	however	however	ADV
easat-9787	115	16	.	.	PUNCT
easat-9787	116	1	this	this	DET
easat-9787	116	2	omission	omission	NOUN
easat-9787	116	3	is	be	AUX
easat-9787	116	4	unusual	unusual	ADJ
easat-9787	116	5	,	,	PUNCT
easat-9787	116	6	however	however	ADV
easat-9787	116	7	,	,	PUNCT
easat-9787	116	8	in	in	ADP
easat-9787	116	9	light	light	NOUN
easat-9787	116	10	of	of	ADP
easat-9787	116	11	the	the	DET
easat-9787	116	12	dw	dw	PROPN
easat-9787	116	13	test	test	NOUN
easat-9787	116	14	’s	’s	PART
easat-9787	116	15	sensitivity	sensitivity	NOUN
easat-9787	116	16	to	to	ADP
easat-9787	116	17	serial	serial	ADJ
easat-9787	116	18	correlation	correlation	NOUN
easat-9787	116	19	as	as	ADV
easat-9787	116	20	well	well	ADV
easat-9787	116	21	as	as	ADP
easat-9787	116	22	its	its	PRON
easat-9787	116	23	use	use	NOUN
easat-9787	116	24	of	of	ADP
easat-9787	116	25	high	high	ADJ
easat-9787	116	26	-	-	PUNCT
easat-9787	116	27	resolution	resolution	NOUN
easat-9787	116	28	information	information	NOUN
easat-9787	116	29	.	.	PUNCT
easat-9787	117	1	one	one	NUM
easat-9787	117	2	exception	exception	NOUN
easat-9787	117	3	is	be	AUX
easat-9787	117	4	de	de	X
easat-9787	117	5	jong	jong	NOUN
easat-9787	117	6	and	and	CCONJ
easat-9787	117	7	davidson	davidson	NOUN
easat-9787	117	8	[	[	X
easat-9787	117	9	24	24	NUM
easat-9787	117	10	]	]	PUNCT
easat-9787	117	11	work	work	NOUN
easat-9787	117	12	,	,	PUNCT
easat-9787	117	13	where	where	SCONJ
easat-9787	117	14	testing	test	VERB
easat-9787	117	15	for	for	ADP
easat-9787	117	16	autocorrelation	autocorrelation	NOUN
easat-9787	117	17	with	with	ADP
easat-9787	117	18	misspecified	misspecifie	VERB
easat-9787	117	19	models	model	NOUN
easat-9787	117	20	was	be	AUX
easat-9787	117	21	explored	explore	VERB
easat-9787	117	22	and	and	CCONJ
easat-9787	117	23	where	where	SCONJ
easat-9787	117	24	the	the	DET
easat-9787	117	25	focus	focus	NOUN
easat-9787	117	26	was	be	AUX
easat-9787	117	27	laid	lay	VERB
easat-9787	117	28	on	on	ADP
easat-9787	117	29	how	how	SCONJ
easat-9787	117	30	power	power	NOUN
easat-9787	117	31	loss	loss	NOUN
easat-9787	117	32	can	can	AUX
easat-9787	117	33	occur	occur	VERB
easat-9787	117	34	through	through	ADP
easat-9787	117	35	both	both	DET
easat-9787	117	36	estimation	estimation	NOUN
easat-9787	117	37	bias	bias	NOUN
easat-9787	117	38	as	as	ADV
easat-9787	117	39	well	well	ADV
easat-9787	117	40	as	as	ADP
easat-9787	117	41	structural	structural	ADJ
easat-9787	117	42	compression	compression	NOUN
easat-9787	117	43	.	.	PUNCT
easat-9787	118	1	yet	yet	ADV
easat-9787	118	2	,	,	PUNCT
easat-9787	118	3	even	even	ADV
easat-9787	118	4	in	in	ADP
easat-9787	118	5	this	this	DET
easat-9787	118	6	paper	paper	NOUN
easat-9787	118	7	,	,	PUNCT
easat-9787	118	8	aggregation	aggregation	NOUN
easat-9787	118	9	was	be	AUX
easat-9787	118	10	treated	treat	VERB
easat-9787	118	11	as	as	ADP
easat-9787	118	12	a	a	DET
easat-9787	118	13	secondary	secondary	ADJ
easat-9787	118	14	problem	problem	NOUN
easat-9787	118	15	rather	rather	ADV
easat-9787	118	16	than	than	ADP
easat-9787	118	17	the	the	DET
easat-9787	118	18	primary	primary	ADJ
easat-9787	118	19	focus	focus	NOUN
easat-9787	118	20	.	.	PUNCT
easat-9787	119	1	the	the	DET
easat-9787	119	2	present	present	ADJ
easat-9787	119	3	study	study	NOUN
easat-9787	119	4	fills	fill	VERB
easat-9787	119	5	this	this	DET
easat-9787	119	6	void	void	NOUN
easat-9787	119	7	by	by	ADP
easat-9787	119	8	systematically	systematically	ADV
easat-9787	119	9	examining	examine	VERB
easat-9787	119	10	how	how	SCONJ
easat-9787	119	11	aggregation	aggregation	NOUN
easat-9787	119	12	reduces	reduce	VERB
easat-9787	119	13	dw	dw	PROPN
easat-9787	119	14	test	test	NOUN
easat-9787	119	15	power	power	NOUN
easat-9787	119	16	under	under	ADP
easat-9787	119	17	different	different	ADJ
easat-9787	119	18	autocorrelation	autocorrelation	NOUN
easat-9787	119	19	regimes	regime	NOUN
easat-9787	119	20	,	,	PUNCT
easat-9787	119	21	aggregation	aggregation	NOUN
easat-9787	119	22	levels	level	NOUN
easat-9787	119	23	,	,	PUNCT
easat-9787	119	24	and	and	CCONJ
easat-9787	119	25	dgps	dgps	PROPN
easat-9787	119	26	.	.	PUNCT
easat-9787	120	1	2.4	2.4	NUM
easat-9787	120	2	.	.	PUNCT
easat-9787	121	1	diagnostic	diagnostic	ADJ
easat-9787	121	2	erosion	erosion	NOUN
easat-9787	121	3	in	in	ADP
easat-9787	121	4	empirical	empirical	ADJ
easat-9787	121	5	applications	application	NOUN
easat-9787	121	6	the	the	DET
easat-9787	121	7	empirical	empirical	ADJ
easat-9787	121	8	significance	significance	NOUN
easat-9787	121	9	of	of	ADP
easat-9787	121	10	temporal	temporal	ADJ
easat-9787	121	11	aggregation	aggregation	NOUN
easat-9787	121	12	has	have	AUX
easat-9787	121	13	been	be	AUX
easat-9787	121	14	explored	explore	VERB
easat-9787	121	15	in	in	ADP
easat-9787	121	16	a	a	DET
easat-9787	121	17	number	number	NOUN
easat-9787	121	18	of	of	ADP
easat-9787	121	19	applied	apply	VERB
easat-9787	121	20	disciplines	discipline	NOUN
easat-9787	121	21	,	,	PUNCT
easat-9787	121	22	particularly	particularly	ADV
easat-9787	121	23	macroeconomics	macroeconomic	NOUN
easat-9787	121	24	and	and	CCONJ
easat-9787	121	25	finance	finance	NOUN
easat-9787	121	26	.	.	PUNCT
easat-9787	122	1	for	for	ADP
easat-9787	122	2	example	example	NOUN
easat-9787	122	3	,	,	PUNCT
easat-9787	122	4	sims	sim	NOUN
easat-9787	122	5	[	[	X
easat-9787	122	6	25	25	NUM
easat-9787	122	7	]	]	PUNCT
easat-9787	122	8	argued	argue	VERB
easat-9787	122	9	that	that	SCONJ
easat-9787	122	10	macroeconomic	macroeconomic	ADJ
easat-9787	122	11	variables	variable	NOUN
easat-9787	122	12	’	'	PUNCT
easat-9787	122	13	models	model	NOUN
easat-9787	122	14	estimated	estimate	VERB
easat-9787	122	15	from	from	ADP
easat-9787	122	16	quarterly	quarterly	ADJ
easat-9787	122	17	data	datum	NOUN
easat-9787	122	18	might	might	AUX
easat-9787	122	19	be	be	AUX
easat-9787	122	20	overlooking	overlook	VERB
easat-9787	122	21	significant	significant	ADJ
easat-9787	122	22	dynamics	dynamic	NOUN
easat-9787	122	23	in	in	ADP
easat-9787	122	24	monthlies	monthly	NOUN
easat-9787	122	25	or	or	CCONJ
easat-9787	122	26	weeklies	weekly	NOUN
easat-9787	122	27	.	.	PUNCT
easat-9787	123	1	this	this	PRON
easat-9787	123	2	is	be	AUX
easat-9787	123	3	especially	especially	ADV
easat-9787	123	4	pertinent	pertinent	ADJ
easat-9787	123	5	in	in	ADP
easat-9787	123	6	the	the	DET
easat-9787	123	7	modeling	modeling	NOUN
easat-9787	123	8	of	of	ADP
easat-9787	123	9	exchange	exchange	NOUN
easat-9787	123	10	rates	rate	NOUN
easat-9787	123	11	,	,	PUNCT
easat-9787	123	12	where	where	SCONJ
easat-9787	123	13	serial	serial	ADJ
easat-9787	123	14	correlation	correlation	NOUN
easat-9787	123	15	and	and	CCONJ
easat-9787	123	16	high	high	ADJ
easat-9787	123	17	-	-	PUNCT
easat-9787	123	18	frequency	frequency	NOUN
easat-9787	123	19	volatility	volatility	NOUN
easat-9787	123	20	would	would	AUX
easat-9787	123	21	tend	tend	VERB
easat-9787	123	22	to	to	PART
easat-9787	123	23	be	be	AUX
easat-9787	123	24	ironed	iron	VERB
easat-9787	123	25	out	out	ADP
easat-9787	123	26	by	by	ADP
easat-9787	123	27	aggregation	aggregation	NOUN
easat-9787	123	28	.	.	PUNCT
easat-9787	124	1	230	230	NUM
easat-9787	124	2	edelweiss	edelweiss	PROPN
easat-9787	124	3	applied	apply	VERB
easat-9787	124	4	science	science	NOUN
easat-9787	124	5	and	and	CCONJ
easat-9787	124	6	technology	technology	NOUN
easat-9787	124	7	issn	issn	PROPN
easat-9787	124	8	:	:	PUNCT
easat-9787	124	9	2576	2576	NUM
easat-9787	124	10	-	-	SYM
easat-9787	124	11	8484	8484	NUM
easat-9787	124	12	vol	vol	NOUN
easat-9787	124	13	.	.	PROPN
easat-9787	125	1	9	9	NUM
easat-9787	125	2	,	,	PUNCT
easat-9787	125	3	no	no	INTJ
easat-9787	125	4	.	.	NOUN
easat-9787	125	5	9	9	NUM
easat-9787	125	6	:	:	SYM
easat-9787	125	7	226	226	NUM
easat-9787	125	8	-	-	SYM
easat-9787	125	9	244	244	NUM
easat-9787	125	10	,	,	PUNCT
easat-9787	125	11	2025	2025	NUM
easat-9787	125	12	doi	doi	NOUN
easat-9787	125	13	:	:	PUNCT
easat-9787	125	14	10.55214/2576	10.55214/2576	NUM
easat-9787	125	15	-	-	PUNCT
easat-9787	125	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	125	17	©	©	PROPN
easat-9787	125	18	2025	2025	NUM
easat-9787	125	19	by	by	ADP
easat-9787	125	20	the	the	DET
easat-9787	125	21	author	author	NOUN
easat-9787	125	22	;	;	PUNCT
easat-9787	126	1	licensee	licensee	PROPN
easat-9787	126	2	learning	learn	VERB
easat-9787	126	3	gate	gate	VERB
easat-9787	126	4	empirical	empirical	ADJ
easat-9787	126	5	studies	study	NOUN
easat-9787	126	6	by	by	ADP
easat-9787	126	7	lo	lo	PROPN
easat-9787	126	8	and	and	CCONJ
easat-9787	126	9	craig	craig	PROPN
easat-9787	126	10	mackinlay	mackinlay	PROPN
easat-9787	126	11	[	[	X
easat-9787	126	12	10	10	NUM
easat-9787	126	13	]	]	PUNCT
easat-9787	126	14	demonstrated	demonstrate	VERB
easat-9787	126	15	that	that	SCONJ
easat-9787	126	16	even	even	ADV
easat-9787	126	17	short	short	ADJ
easat-9787	126	18	-	-	PUNCT
easat-9787	126	19	term	term	NOUN
easat-9787	126	20	dependence	dependence	NOUN
easat-9787	126	21	of	of	ADP
easat-9787	126	22	asset	asset	NOUN
easat-9787	126	23	returns	return	NOUN
easat-9787	126	24	can	can	AUX
easat-9787	126	25	be	be	AUX
easat-9787	126	26	disguised	disguise	VERB
easat-9787	126	27	through	through	ADP
easat-9787	126	28	aggregation	aggregation	NOUN
easat-9787	126	29	and	and	CCONJ
easat-9787	126	30	thus	thus	ADV
easat-9787	126	31	lead	lead	VERB
easat-9787	126	32	to	to	ADP
easat-9787	126	33	incorrect	incorrect	ADJ
easat-9787	126	34	inferences	inference	NOUN
easat-9787	126	35	about	about	ADP
easat-9787	126	36	the	the	DET
easat-9787	126	37	efficiency	efficiency	NOUN
easat-9787	126	38	of	of	ADP
easat-9787	126	39	the	the	DET
easat-9787	126	40	market	market	NOUN
easat-9787	126	41	.	.	PUNCT
easat-9787	127	1	their	their	PRON
easat-9787	127	2	studies	study	NOUN
easat-9787	127	3	emphasized	emphasize	VERB
easat-9787	127	4	how	how	SCONJ
easat-9787	127	5	tests	test	NOUN
easat-9787	127	6	for	for	ADP
easat-9787	127	7	diagnostic	diagnostic	ADJ
easat-9787	127	8	information	information	NOUN
easat-9787	127	9	based	base	VERB
easat-9787	127	10	on	on	ADP
easat-9787	127	11	aggregated	aggregate	VERB
easat-9787	127	12	observations	observation	NOUN
easat-9787	127	13	may	may	AUX
easat-9787	127	14	not	not	PART
easat-9787	127	15	detect	detect	VERB
easat-9787	127	16	available	available	ADJ
easat-9787	127	17	dependencies	dependency	NOUN
easat-9787	127	18	and	and	CCONJ
easat-9787	127	19	thus	thus	ADV
easat-9787	127	20	continue	continue	VERB
easat-9787	127	21	to	to	PART
easat-9787	127	22	support	support	VERB
easat-9787	127	23	the	the	DET
easat-9787	127	24	myth	myth	NOUN
easat-9787	127	25	of	of	ADP
easat-9787	127	26	white	white	ADJ
easat-9787	127	27	noise	noise	NOUN
easat-9787	127	28	or	or	CCONJ
easat-9787	127	29	martingale	martingale	ADJ
easat-9787	127	30	behavior	behavior	NOUN
easat-9787	127	31	.	.	PUNCT
easat-9787	128	1	in	in	ADP
easat-9787	128	2	macroeconomic	macroeconomic	ADJ
easat-9787	128	3	predictions	prediction	NOUN
easat-9787	128	4	,	,	PUNCT
easat-9787	128	5	stock	stock	NOUN
easat-9787	128	6	and	and	CCONJ
easat-9787	128	7	watson	watson	NOUN
easat-9787	128	8	[	[	X
easat-9787	128	9	12	12	NUM
easat-9787	128	10	]	]	PUNCT
easat-9787	128	11	indicated	indicate	VERB
easat-9787	128	12	that	that	SCONJ
easat-9787	128	13	aggregation	aggregation	NOUN
easat-9787	128	14	would	would	AUX
easat-9787	128	15	negatively	negatively	ADV
easat-9787	128	16	affect	affect	VERB
easat-9787	128	17	model	model	NOUN
easat-9787	128	18	choice	choice	NOUN
easat-9787	128	19	and	and	CCONJ
easat-9787	128	20	accuracy	accuracy	NOUN
easat-9787	128	21	in	in	ADP
easat-9787	128	22	forecasts	forecast	NOUN
easat-9787	128	23	.	.	PUNCT
easat-9787	129	1	their	their	PRON
easat-9787	129	2	findings	finding	NOUN
easat-9787	129	3	indicate	indicate	VERB
easat-9787	129	4	that	that	SCONJ
easat-9787	129	5	the	the	DET
easat-9787	129	6	removal	removal	NOUN
easat-9787	129	7	of	of	ADP
easat-9787	129	8	high	high	ADJ
easat-9787	129	9	-	-	PUNCT
easat-9787	129	10	frequency	frequency	NOUN
easat-9787	129	11	information	information	NOUN
easat-9787	129	12	would	would	AUX
easat-9787	129	13	not	not	PART
easat-9787	129	14	only	only	ADV
easat-9787	129	15	deteriorate	deteriorate	VERB
easat-9787	129	16	predictive	predictive	ADJ
easat-9787	129	17	performance	performance	NOUN
easat-9787	129	18	but	but	CCONJ
easat-9787	129	19	would	would	AUX
easat-9787	129	20	also	also	ADV
easat-9787	129	21	undermine	undermine	VERB
easat-9787	129	22	diagnostic	diagnostic	ADJ
easat-9787	129	23	clarity	clarity	NOUN
easat-9787	129	24	.	.	PUNCT
easat-9787	130	1	likewise	likewise	ADV
easat-9787	130	2	,	,	PUNCT
easat-9787	130	3	clements	clements	PROPN
easat-9787	130	4	and	and	CCONJ
easat-9787	130	5	hendry	hendry	PROPN
easat-9787	130	6	[	[	X
easat-9787	130	7	26	26	NUM
easat-9787	130	8	]	]	PUNCT
easat-9787	130	9	contended	contend	VERB
easat-9787	130	10	that	that	SCONJ
easat-9787	130	11	aggregation	aggregation	NOUN
easat-9787	130	12	brings	bring	VERB
easat-9787	130	13	about	about	ADP
easat-9787	130	14	measurement	measurement	NOUN
easat-9787	130	15	error	error	NOUN
easat-9787	130	16	and	and	CCONJ
easat-9787	130	17	structural	structural	ADJ
easat-9787	130	18	breaks	break	NOUN
easat-9787	130	19	that	that	PRON
easat-9787	130	20	could	could	AUX
easat-9787	130	21	go	go	VERB
easat-9787	130	22	undetected	undetected	ADJ
easat-9787	130	23	if	if	SCONJ
easat-9787	130	24	diagnostics	diagnostic	NOUN
easat-9787	130	25	such	such	ADJ
easat-9787	130	26	as	as	ADP
easat-9787	130	27	the	the	DET
easat-9787	130	28	dw	dw	PROPN
easat-9787	130	29	test	test	NOUN
easat-9787	130	30	do	do	AUX
easat-9787	130	31	not	not	PART
easat-9787	130	32	pick	pick	VERB
easat-9787	130	33	up	up	ADP
easat-9787	130	34	on	on	ADP
easat-9787	130	35	residual	residual	ADJ
easat-9787	130	36	autocorrelation	autocorrelation	NOUN
easat-9787	130	37	.	.	PUNCT
easat-9787	131	1	exchange	exchange	NOUN
easat-9787	131	2	rate	rate	NOUN
easat-9787	131	3	research	research	NOUN
easat-9787	131	4	provides	provide	VERB
easat-9787	131	5	particularly	particularly	ADV
easat-9787	131	6	rich	rich	ADJ
easat-9787	131	7	terrain	terrain	NOUN
easat-9787	131	8	for	for	ADP
easat-9787	131	9	examining	examine	VERB
easat-9787	131	10	such	such	ADJ
easat-9787	131	11	queries	query	NOUN
easat-9787	131	12	,	,	PUNCT
easat-9787	131	13	since	since	SCONJ
easat-9787	131	14	there	there	PRON
easat-9787	131	15	is	be	VERB
easat-9787	131	16	high	high	ADJ
easat-9787	131	17	-	-	PUNCT
easat-9787	131	18	frequency	frequency	NOUN
easat-9787	131	19	data	datum	NOUN
easat-9787	131	20	and	and	CCONJ
easat-9787	131	21	also	also	ADV
easat-9787	131	22	a	a	DET
easat-9787	131	23	robust	robust	ADJ
easat-9787	131	24	dynamic	dynamic	ADJ
easat-9787	131	25	element	element	NOUN
easat-9787	131	26	.	.	PUNCT
easat-9787	132	1	engle	engle	PROPN
easat-9787	132	2	and	and	CCONJ
easat-9787	132	3	patton	patton	PROPN
easat-9787	133	1	[	[	X
easat-9787	133	2	27	27	NUM
easat-9787	133	3	]	]	PUNCT
easat-9787	133	4	highlighted	highlight	VERB
easat-9787	133	5	how	how	SCONJ
easat-9787	133	6	aggregation	aggregation	NOUN
easat-9787	133	7	de	de	NOUN
easat-9787	133	8	-	-	NOUN
easat-9787	133	9	clusters	cluster	NOUN
easat-9787	133	10	volatility	volatility	NOUN
easat-9787	133	11	and	and	CCONJ
easat-9787	133	12	shrinks	shrink	VERB
easat-9787	133	13	serial	serial	ADJ
easat-9787	133	14	dependence	dependence	NOUN
easat-9787	133	15	on	on	ADP
easat-9787	133	16	financial	financial	ADJ
easat-9787	133	17	returns	return	NOUN
easat-9787	133	18	at	at	ADP
easat-9787	133	19	high	high	ADJ
easat-9787	133	20	frequency	frequency	NOUN
easat-9787	133	21	,	,	PUNCT
easat-9787	133	22	a	a	DET
easat-9787	133	23	result	result	NOUN
easat-9787	133	24	which	which	PRON
easat-9787	133	25	has	have	AUX
easat-9787	133	26	subsequently	subsequently	ADV
easat-9787	133	27	been	be	AUX
easat-9787	133	28	confirmed	confirm	VERB
easat-9787	133	29	in	in	ADP
easat-9787	133	30	numerous	numerous	ADJ
easat-9787	133	31	empirical	empirical	ADJ
easat-9787	133	32	studies	study	NOUN
easat-9787	133	33	.	.	PUNCT
easat-9787	134	1	a	a	DET
easat-9787	134	2	few	few	ADJ
easat-9787	134	3	have	have	AUX
easat-9787	134	4	,	,	PUNCT
easat-9787	134	5	however	however	ADV
easat-9787	134	6	,	,	PUNCT
easat-9787	134	7	been	be	AUX
easat-9787	134	8	skeptical	skeptical	ADJ
easat-9787	134	9	regarding	regard	VERB
easat-9787	134	10	whether	whether	SCONJ
easat-9787	134	11	it	it	PRON
easat-9787	134	12	actually	actually	ADV
easat-9787	134	13	makes	make	VERB
easat-9787	134	14	any	any	DET
easat-9787	134	15	difference	difference	NOUN
easat-9787	134	16	to	to	ADP
easat-9787	134	17	the	the	DET
easat-9787	134	18	validity	validity	NOUN
easat-9787	134	19	of	of	ADP
easat-9787	134	20	residual	residual	ADJ
easat-9787	134	21	-	-	PUNCT
easat-9787	134	22	based	base	VERB
easat-9787	134	23	tests	test	NOUN
easat-9787	134	24	like	like	ADP
easat-9787	134	25	dw	dw	PROPN
easat-9787	134	26	statistics	statistic	NOUN
easat-9787	134	27	.	.	PUNCT
easat-9787	135	1	the	the	DET
easat-9787	135	2	degeneration	degeneration	NOUN
easat-9787	135	3	of	of	ADP
easat-9787	135	4	diagnostic	diagnostic	ADJ
easat-9787	135	5	strength	strength	NOUN
easat-9787	135	6	through	through	ADP
easat-9787	135	7	aggregation	aggregation	NOUN
easat-9787	135	8	occurs	occur	VERB
easat-9787	135	9	not	not	PART
easat-9787	135	10	only	only	ADV
easat-9787	135	11	for	for	ADP
easat-9787	135	12	the	the	DET
easat-9787	135	13	dw	dw	PROPN
easat-9787	135	14	test	test	NOUN
easat-9787	135	15	.	.	PUNCT
easat-9787	136	1	amado	amado	PROPN
easat-9787	136	2	and	and	CCONJ
easat-9787	136	3	teräsvirta	teräsvirta	NOUN
easat-9787	137	1	[	[	X
easat-9787	137	2	9	9	NUM
easat-9787	137	3	]	]	PUNCT
easat-9787	137	4	found	find	VERB
easat-9787	137	5	that	that	SCONJ
easat-9787	137	6	garch	garch	NOUN
easat-9787	137	7	-	-	PUNCT
easat-9787	137	8	type	type	NOUN
easat-9787	137	9	models	model	NOUN
easat-9787	137	10	of	of	ADP
easat-9787	137	11	aggregated	aggregate	VERB
easat-9787	137	12	returns	return	NOUN
easat-9787	137	13	underestimate	underestimate	ADJ
easat-9787	137	14	volatility	volatility	NOUN
easat-9787	137	15	persistence	persistence	NOUN
easat-9787	137	16	and	and	CCONJ
easat-9787	137	17	therefore	therefore	ADV
easat-9787	137	18	make	make	VERB
easat-9787	137	19	incorrect	incorrect	ADJ
easat-9787	137	20	inferences	inference	NOUN
easat-9787	137	21	about	about	ADP
easat-9787	137	22	risk	risk	NOUN
easat-9787	137	23	.	.	PUNCT
easat-9787	138	1	their	their	PRON
easat-9787	138	2	results	result	NOUN
easat-9787	138	3	reinforce	reinforce	VERB
easat-9787	138	4	the	the	DET
easat-9787	138	5	general	general	ADJ
easat-9787	138	6	apprehension	apprehension	NOUN
easat-9787	138	7	that	that	SCONJ
easat-9787	138	8	although	although	SCONJ
easat-9787	138	9	aggregation	aggregation	NOUN
easat-9787	138	10	is	be	AUX
easat-9787	138	11	often	often	ADV
easat-9787	138	12	analytically	analytically	ADV
easat-9787	138	13	appealing	appealing	ADJ
easat-9787	138	14	,	,	PUNCT
easat-9787	138	15	it	it	PRON
easat-9787	138	16	can	can	AUX
easat-9787	138	17	distort	distort	VERB
easat-9787	138	18	dynamic	dynamic	ADJ
easat-9787	138	19	relationships	relationship	NOUN
easat-9787	138	20	and	and	CCONJ
easat-9787	138	21	invalidate	invalidate	VERB
easat-9787	138	22	model	model	NOUN
easat-9787	138	23	diagnostics	diagnostic	NOUN
easat-9787	138	24	.	.	PUNCT
easat-9787	139	1	literature	literature	NOUN
easat-9787	139	2	reviewed	review	VERB
easat-9787	139	3	indicates	indicate	VERB
easat-9787	139	4	a	a	DET
easat-9787	139	5	near	near	ADV
easat-9787	139	6	-	-	PUNCT
easat-9787	139	7	unanimous	unanimous	ADJ
easat-9787	139	8	consensus	consensus	NOUN
easat-9787	139	9	that	that	SCONJ
easat-9787	139	10	temporal	temporal	ADJ
easat-9787	139	11	aggregation	aggregation	NOUN
easat-9787	139	12	affects	affect	VERB
easat-9787	139	13	the	the	DET
easat-9787	139	14	dynamic	dynamic	ADJ
easat-9787	139	15	properties	property	NOUN
easat-9787	139	16	of	of	ADP
easat-9787	139	17	time	time	NOUN
easat-9787	139	18	series	series	NOUN
easat-9787	139	19	and	and	CCONJ
easat-9787	139	20	performance	performance	NOUN
easat-9787	139	21	of	of	ADP
easat-9787	139	22	associated	associated	ADJ
easat-9787	139	23	statistical	statistical	ADJ
easat-9787	139	24	instruments	instrument	NOUN
easat-9787	139	25	.	.	PUNCT
easat-9787	140	1	from	from	ADP
easat-9787	140	2	initial	initial	ADJ
easat-9787	140	3	theoretical	theoretical	ADJ
easat-9787	140	4	work	work	NOUN
easat-9787	140	5	by	by	ADP
easat-9787	140	6	granger	granger	NOUN
easat-9787	140	7	and	and	CCONJ
easat-9787	140	8	tiao	tiao	NOUN
easat-9787	140	9	to	to	ADP
easat-9787	140	10	current	current	ADJ
easat-9787	140	11	empirical	empirical	ADJ
easat-9787	140	12	work	work	NOUN
easat-9787	140	13	,	,	PUNCT
easat-9787	140	14	researchers	researcher	NOUN
easat-9787	140	15	have	have	AUX
easat-9787	140	16	established	establish	VERB
easat-9787	140	17	that	that	DET
easat-9787	140	18	aggregation	aggregation	NOUN
easat-9787	140	19	can	can	AUX
easat-9787	140	20	hide	hide	VERB
easat-9787	140	21	autocorrelation	autocorrelation	NOUN
easat-9787	140	22	,	,	PUNCT
easat-9787	140	23	alter	alter	PROPN
easat-9787	140	24	model	model	NOUN
easat-9787	140	25	specification	specification	NOUN
easat-9787	140	26	,	,	PUNCT
easat-9787	140	27	and	and	CCONJ
easat-9787	140	28	lose	lose	VERB
easat-9787	140	29	test	test	NOUN
easat-9787	140	30	power	power	NOUN
easat-9787	140	31	.	.	PUNCT
easat-9787	141	1	despite	despite	SCONJ
easat-9787	141	2	this	this	PRON
easat-9787	141	3	,	,	PUNCT
easat-9787	141	4	the	the	DET
easat-9787	141	5	effect	effect	NOUN
easat-9787	141	6	on	on	ADP
easat-9787	141	7	diagnostic	diagnostic	ADJ
easat-9787	141	8	tests	test	NOUN
easat-9787	141	9	—	—	PUNCT
easat-9787	141	10	namely	namely	ADV
easat-9787	141	11	,	,	PUNCT
easat-9787	141	12	the	the	DET
easat-9787	141	13	durbin	durbin	ADJ
easat-9787	141	14	-	-	PUNCT
easat-9787	141	15	watson	watson	NOUN
easat-9787	141	16	statistic	statistic	NOUN
easat-9787	141	17	—	—	PUNCT
easat-9787	141	18	is	be	AUX
easat-9787	141	19	under	under	ADV
easat-9787	141	20	-	-	PUNCT
easat-9787	141	21	researched	research	VERB
easat-9787	141	22	.	.	PUNCT
easat-9787	142	1	this	this	PRON
easat-9787	142	2	is	be	AUX
easat-9787	142	3	relevant	relevant	ADJ
easat-9787	142	4	because	because	SCONJ
easat-9787	142	5	the	the	DET
easat-9787	142	6	dw	dw	PROPN
easat-9787	142	7	test	test	NOUN
easat-9787	142	8	is	be	AUX
easat-9787	142	9	still	still	ADV
easat-9787	142	10	a	a	DET
easat-9787	142	11	widely	widely	ADV
easat-9787	142	12	used	use	VERB
easat-9787	142	13	instrument	instrument	NOUN
easat-9787	142	14	in	in	ADP
easat-9787	142	15	applied	apply	VERB
easat-9787	142	16	econometric	econometric	ADJ
easat-9787	142	17	analysis	analysis	NOUN
easat-9787	142	18	,	,	PUNCT
easat-9787	142	19	normally	normally	ADV
easat-9787	142	20	in	in	ADP
easat-9787	142	21	ignorance	ignorance	NOUN
easat-9787	142	22	of	of	ADP
easat-9787	142	23	the	the	DET
easat-9787	142	24	temporal	temporal	ADJ
easat-9787	142	25	resolution	resolution	NOUN
easat-9787	142	26	of	of	ADP
easat-9787	142	27	the	the	DET
easat-9787	142	28	underlying	underlie	VERB
easat-9787	142	29	data	datum	NOUN
easat-9787	142	30	.	.	PUNCT
easat-9787	143	1	by	by	ADP
easat-9787	143	2	formally	formally	ADV
easat-9787	143	3	examining	examine	VERB
easat-9787	143	4	the	the	DET
easat-9787	143	5	power	power	NOUN
easat-9787	143	6	and	and	CCONJ
easat-9787	143	7	robustness	robustness	NOUN
easat-9787	143	8	of	of	ADP
easat-9787	143	9	the	the	DET
easat-9787	143	10	dw	dw	PROPN
easat-9787	143	11	test	test	NOUN
easat-9787	143	12	at	at	ADP
easat-9787	143	13	different	different	ADJ
easat-9787	143	14	levels	level	NOUN
easat-9787	143	15	of	of	ADP
easat-9787	143	16	temporal	temporal	ADJ
easat-9787	143	17	aggregation	aggregation	NOUN
easat-9787	143	18	,	,	PUNCT
easat-9787	143	19	this	this	DET
easat-9787	143	20	paper	paper	NOUN
easat-9787	143	21	provides	provide	VERB
easat-9787	143	22	a	a	DET
easat-9787	143	23	useful	useful	ADJ
easat-9787	143	24	but	but	CCONJ
easat-9787	143	25	overlooked	overlooked	ADJ
easat-9787	143	26	contribution	contribution	NOUN
easat-9787	143	27	.	.	PUNCT
easat-9787	144	1	it	it	PRON
easat-9787	144	2	also	also	ADV
easat-9787	144	3	facilitates	facilitate	VERB
easat-9787	144	4	more	more	ADJ
easat-9787	144	5	general	general	ADJ
easat-9787	144	6	research	research	NOUN
easat-9787	144	7	on	on	ADP
easat-9787	144	8	the	the	DET
easat-9787	144	9	interplay	interplay	NOUN
easat-9787	144	10	between	between	ADP
easat-9787	144	11	frequency	frequency	NOUN
easat-9787	144	12	of	of	ADP
easat-9787	144	13	data	datum	NOUN
easat-9787	144	14	and	and	CCONJ
easat-9787	144	15	statistical	statistical	ADJ
easat-9787	144	16	inference	inference	NOUN
easat-9787	144	17	,	,	PUNCT
easat-9787	144	18	specifically	specifically	ADV
easat-9787	144	19	in	in	ADP
easat-9787	144	20	applications	application	NOUN
easat-9787	144	21	like	like	ADP
easat-9787	144	22	macroeconomics	macroeconomic	NOUN
easat-9787	144	23	and	and	CCONJ
easat-9787	144	24	finance	finance	NOUN
easat-9787	144	25	,	,	PUNCT
easat-9787	144	26	where	where	SCONJ
easat-9787	144	27	aggregation	aggregation	NOUN
easat-9787	144	28	is	be	AUX
easat-9787	144	29	common	common	ADJ
easat-9787	144	30	and	and	CCONJ
easat-9787	144	31	relevant	relevant	ADJ
easat-9787	144	32	.	.	PUNCT
easat-9787	145	1	the	the	DET
easat-9787	145	2	second	second	ADJ
easat-9787	145	3	part	part	NOUN
easat-9787	145	4	outlines	outline	VERB
easat-9787	145	5	an	an	DET
easat-9787	145	6	approach	approach	NOUN
easat-9787	145	7	based	base	VERB
easat-9787	145	8	on	on	ADP
easat-9787	145	9	simulation	simulation	NOUN
easat-9787	145	10	aimed	aim	VERB
easat-9787	145	11	at	at	ADP
easat-9787	145	12	estimating	estimate	VERB
easat-9787	145	13	the	the	DET
easat-9787	145	14	loss	loss	NOUN
easat-9787	145	15	of	of	ADP
easat-9787	145	16	dw	dw	PROPN
easat-9787	145	17	test	test	NOUN
easat-9787	145	18	power	power	NOUN
easat-9787	145	19	under	under	ADP
easat-9787	145	20	different	different	ADJ
easat-9787	145	21	aggregation	aggregation	NOUN
easat-9787	145	22	regimes	regime	NOUN
easat-9787	145	23	and	and	CCONJ
easat-9787	145	24	validating	validate	VERB
easat-9787	145	25	these	these	DET
easat-9787	145	26	findings	finding	NOUN
easat-9787	145	27	with	with	ADP
easat-9787	145	28	empirical	empirical	ADJ
easat-9787	145	29	demonstration	demonstration	NOUN
easat-9787	145	30	on	on	ADP
easat-9787	145	31	high	high	ADJ
easat-9787	145	32	-	-	PUNCT
easat-9787	145	33	frequency	frequency	NOUN
easat-9787	145	34	exchange	exchange	NOUN
easat-9787	145	35	rate	rate	NOUN
easat-9787	145	36	data	datum	NOUN
easat-9787	145	37	.	.	PUNCT
easat-9787	146	1	3	3	X
easat-9787	146	2	.	.	X
easat-9787	146	3	methodology	methodology	NOUN
easat-9787	146	4	to	to	PART
easat-9787	146	5	investigate	investigate	VERB
easat-9787	146	6	the	the	DET
easat-9787	146	7	impact	impact	NOUN
easat-9787	146	8	of	of	ADP
easat-9787	146	9	temporal	temporal	ADJ
easat-9787	146	10	aggregation	aggregation	NOUN
easat-9787	146	11	on	on	ADP
easat-9787	146	12	the	the	DET
easat-9787	146	13	power	power	NOUN
easat-9787	146	14	of	of	ADP
easat-9787	146	15	the	the	DET
easat-9787	146	16	durbin	durbin	NOUN
easat-9787	146	17	-	-	PUNCT
easat-9787	146	18	watson	watson	NOUN
easat-9787	146	19	(	(	PUNCT
easat-9787	146	20	dw	dw	NOUN
easat-9787	146	21	)	)	PUNCT
easat-9787	146	22	test	test	NOUN
easat-9787	146	23	in	in	ADP
easat-9787	146	24	a	a	DET
easat-9787	146	25	controlled	control	VERB
easat-9787	146	26	way	way	NOUN
easat-9787	147	1	,	,	PUNCT
easat-9787	147	2	this	this	DET
easat-9787	147	3	paper	paper	NOUN
easat-9787	147	4	pursues	pursue	VERB
easat-9787	147	5	a	a	DET
easat-9787	147	6	two	two	NUM
easat-9787	147	7	-	-	PUNCT
easat-9787	147	8	pronged	pronged	ADJ
easat-9787	147	9	strategy	strategy	NOUN
easat-9787	147	10	:	:	PUNCT
easat-9787	147	11	(	(	PUNCT
easat-9787	147	12	i	i	NOUN
easat-9787	147	13	)	)	PUNCT
easat-9787	147	14	a	a	DET
easat-9787	147	15	series	series	NOUN
easat-9787	147	16	of	of	ADP
easat-9787	147	17	controlled	control	VERB
easat-9787	147	18	monte	monte	PROPN
easat-9787	147	19	carlo	carlo	NOUN
easat-9787	147	20	experiments	experiment	NOUN
easat-9787	147	21	under	under	ADP
easat-9787	147	22	different	different	ADJ
easat-9787	147	23	dynamic	dynamic	ADJ
easat-9787	147	24	data	data	NOUN
easat-9787	147	25	-	-	PUNCT
easat-9787	147	26	generating	generate	VERB
easat-9787	147	27	processes	process	NOUN
easat-9787	147	28	(	(	PUNCT
easat-9787	147	29	dgps	dgps	PROPN
easat-9787	147	30	)	)	PUNCT
easat-9787	147	31	and	and	CCONJ
easat-9787	147	32	aggregation	aggregation	NOUN
easat-9787	147	33	schemes	scheme	NOUN
easat-9787	147	34	and	and	CCONJ
easat-9787	147	35	(	(	PUNCT
easat-9787	147	36	ii	ii	NOUN
easat-9787	147	37	)	)	PUNCT
easat-9787	147	38	an	an	DET
easat-9787	147	39	empirical	empirical	ADJ
easat-9787	147	40	study	study	NOUN
easat-9787	147	41	on	on	ADP
easat-9787	147	42	high	high	ADJ
easat-9787	147	43	-	-	PUNCT
easat-9787	147	44	frequency	frequency	NOUN
easat-9787	147	45	financial	financial	ADJ
easat-9787	147	46	time	time	NOUN
easat-9787	147	47	series	series	PROPN
easat-9787	147	48	data	data	PROPN
easat-9787	147	49	—	—	PUNCT
easat-9787	147	50	specifically	specifically	ADV
easat-9787	147	51	,	,	PUNCT
easat-9787	147	52	daily	daily	ADJ
easat-9787	147	53	eur	eur	PROPN
easat-9787	147	54	/	/	SYM
easat-9787	147	55	usd	usd	NOUN
easat-9787	147	56	and	and	CCONJ
easat-9787	147	57	gbp	gbp	ADJ
easat-9787	147	58	/	/	SYM
easat-9787	147	59	usd	usd	NOUN
easat-9787	147	60	exchange	exchange	NOUN
easat-9787	147	61	rate	rate	NOUN
easat-9787	147	62	data	datum	NOUN
easat-9787	147	63	.	.	PUNCT
easat-9787	148	1	this	this	DET
easat-9787	148	2	section	section	NOUN
easat-9787	148	3	outlines	outline	VERB
easat-9787	148	4	the	the	DET
easat-9787	148	5	design	design	NOUN
easat-9787	148	6	of	of	ADP
easat-9787	148	7	the	the	DET
easat-9787	148	8	simulation	simulation	NOUN
easat-9787	148	9	experiments	experiment	NOUN
easat-9787	148	10	,	,	PUNCT
easat-9787	148	11	the	the	DET
easat-9787	148	12	implementation	implementation	NOUN
easat-9787	148	13	of	of	ADP
easat-9787	148	14	the	the	DET
easat-9787	148	15	temporal	temporal	ADJ
easat-9787	148	16	aggregation	aggregation	NOUN
easat-9787	148	17	techniques	technique	NOUN
easat-9787	148	18	,	,	PUNCT
easat-9787	148	19	the	the	DET
easat-9787	148	20	specification	specification	NOUN
easat-9787	148	21	of	of	ADP
easat-9787	148	22	the	the	DET
easat-9787	148	23	dw	dw	PROPN
easat-9787	148	24	test	test	NOUN
easat-9787	148	25	,	,	PUNCT
easat-9787	148	26	and	and	CCONJ
easat-9787	148	27	the	the	DET
easat-9787	148	28	structure	structure	NOUN
easat-9787	148	29	of	of	ADP
easat-9787	148	30	the	the	DET
easat-9787	148	31	empirical	empirical	ADJ
easat-9787	148	32	validation	validation	NOUN
easat-9787	148	33	.	.	PUNCT
easat-9787	149	1	the	the	DET
easat-9787	149	2	first	first	ADJ
easat-9787	149	3	step	step	NOUN
easat-9787	149	4	in	in	ADP
easat-9787	149	5	the	the	DET
easat-9787	149	6	simulation	simulation	NOUN
easat-9787	149	7	experiment	experiment	NOUN
easat-9787	149	8	is	be	AUX
easat-9787	149	9	to	to	PART
easat-9787	149	10	define	define	VERB
easat-9787	149	11	a	a	DET
easat-9787	149	12	set	set	NOUN
easat-9787	149	13	of	of	ADP
easat-9787	149	14	data	data	NOUN
easat-9787	149	15	-	-	PUNCT
easat-9787	149	16	generating	generate	VERB
easat-9787	149	17	processes	process	NOUN
easat-9787	149	18	(	(	PUNCT
easat-9787	149	19	dgps	dgps	PROPN
easat-9787	149	20	)	)	PUNCT
easat-9787	149	21	that	that	PRON
easat-9787	149	22	capture	capture	VERB
easat-9787	149	23	salient	salient	ADJ
easat-9787	149	24	characteristics	characteristic	NOUN
easat-9787	149	25	of	of	ADP
easat-9787	149	26	real	real	ADJ
easat-9787	149	27	time	time	NOUN
easat-9787	149	28	series	series	NOUN
easat-9787	149	29	.	.	PUNCT
easat-9787	150	1	we	we	PRON
easat-9787	150	2	look	look	VERB
easat-9787	150	3	at	at	ADP
easat-9787	150	4	stationary	stationary	ADJ
easat-9787	150	5	autoregressive	autoregressive	ADJ
easat-9787	150	6	and	and	CCONJ
easat-9787	150	7	autoregressive	autoregressive	ADJ
easat-9787	150	8	-	-	PUNCT
easat-9787	150	9	moving	move	VERB
easat-9787	150	10	average	average	ADJ
easat-9787	150	11	processes	process	NOUN
easat-9787	150	12	,	,	PUNCT
easat-9787	150	13	which	which	PRON
easat-9787	150	14	are	be	AUX
easat-9787	150	15	canonical	canonical	ADJ
easat-9787	150	16	representations	representation	NOUN
easat-9787	150	17	of	of	ADP
easat-9787	150	18	serial	serial	ADJ
easat-9787	150	19	correlation	correlation	NOUN
easat-9787	150	20	and	and	CCONJ
easat-9787	150	21	are	be	AUX
easat-9787	150	22	extremely	extremely	ADV
easat-9787	150	23	popular	popular	ADJ
easat-9787	150	24	in	in	ADP
easat-9787	150	25	applied	apply	VERB
easat-9787	150	26	econometric	econometric	ADJ
easat-9787	150	27	practice	practice	NOUN
easat-9787	150	28	.	.	PUNCT
easat-9787	151	1	the	the	DET
easat-9787	151	2	following	follow	VERB
easat-9787	151	3	four	four	NUM
easat-9787	151	4	dgps	dgps	PROPN
easat-9787	151	5	are	be	AUX
easat-9787	151	6	considered	consider	VERB
easat-9787	151	7	(	(	PUNCT
easat-9787	151	8	ar(1	ar(1	NOUN
easat-9787	151	9	)	)	PUNCT
easat-9787	151	10	,	,	PUNCT
easat-9787	151	11	ar(2	ar(2	PROPN
easat-9787	151	12	)	)	PUNCT
easat-9787	151	13	,	,	PUNCT
easat-9787	151	14	ma(1	ma(1	NOUN
easat-9787	151	15	)	)	PUNCT
easat-9787	151	16	,	,	PUNCT
easat-9787	151	17	arma(1,1	arma(1,1	NOUN
easat-9787	151	18	)	)	PUNCT
easat-9787	151	19	,	,	PUNCT
easat-9787	151	20	respectively	respectively	ADV
easat-9787	151	21	:	:	PUNCT
easat-9787	151	22	231	231	NUM
easat-9787	151	23	edelweiss	edelweiss	PROPN
easat-9787	151	24	applied	apply	VERB
easat-9787	151	25	science	science	NOUN
easat-9787	151	26	and	and	CCONJ
easat-9787	151	27	technology	technology	NOUN
easat-9787	151	28	issn	issn	PROPN
easat-9787	151	29	:	:	PUNCT
easat-9787	151	30	2576	2576	NUM
easat-9787	151	31	-	-	SYM
easat-9787	151	32	8484	8484	NUM
easat-9787	151	33	vol	vol	NOUN
easat-9787	151	34	.	.	PROPN
easat-9787	152	1	9	9	NUM
easat-9787	152	2	,	,	PUNCT
easat-9787	152	3	no	no	INTJ
easat-9787	152	4	.	.	NOUN
easat-9787	152	5	9	9	NUM
easat-9787	152	6	:	:	SYM
easat-9787	152	7	226	226	NUM
easat-9787	152	8	-	-	SYM
easat-9787	152	9	244	244	NUM
easat-9787	152	10	,	,	PUNCT
easat-9787	152	11	2025	2025	NUM
easat-9787	152	12	doi	doi	NOUN
easat-9787	152	13	:	:	PUNCT
easat-9787	152	14	10.55214/2576	10.55214/2576	NUM
easat-9787	152	15	-	-	PUNCT
easat-9787	152	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	152	17	©	©	PROPN
easat-9787	152	18	2025	2025	NUM
easat-9787	152	19	by	by	ADP
easat-9787	152	20	the	the	DET
easat-9787	152	21	author	author	NOUN
easat-9787	152	22	;	;	PUNCT
easat-9787	152	23	licensee	licensee	PROPN
easat-9787	152	24	learning	learn	VERB
easat-9787	152	25	gate	gate	NOUN
easat-9787	152	26	yt	yt	PROPN
easat-9787	152	27	=	=	PUNCT
easat-9787	152	28	ρyt-1	ρyt-1	PUNCT
easat-9787	152	29	+	+	CCONJ
easat-9787	152	30	εt	εt	PROPN
easat-9787	152	31	,	,	PUNCT
easat-9787	152	32	εt	εt	PROPN
easat-9787	152	33	∼	∼	VERB
easat-9787	152	34	n(0,σ2	n(0,σ2	NOUN
easat-9787	152	35	)	)	PUNCT
easat-9787	152	36	(	(	PUNCT
easat-9787	152	37	1	1	X
easat-9787	152	38	)	)	PUNCT
easat-9787	152	39	where	where	SCONJ
easat-9787	152	40	ρ∈	ρ∈	ADV
easat-9787	152	41	{	{	PUNCT
easat-9787	152	42	0,0.2,0.5,0.8	0,0.2,0.5,0.8	NUM
easat-9787	152	43	}	}	PUNCT
easat-9787	152	44	to	to	PART
easat-9787	152	45	vary	vary	VERB
easat-9787	152	46	the	the	DET
easat-9787	152	47	degree	degree	NOUN
easat-9787	152	48	of	of	ADP
easat-9787	152	49	autocorrelation	autocorrelation	NOUN
easat-9787	152	50	.	.	PUNCT
easat-9787	153	1	yt	yt	PROPN
easat-9787	153	2	=	=	PUNCT
easat-9787	153	3	ϕ1	ϕ1	NOUN
easat-9787	153	4	yt-1	yt-1	ADV
easat-9787	153	5	+	+	CCONJ
easat-9787	153	6	ϕ2	ϕ2	ADV
easat-9787	153	7	yt-2	yt-2	NOUN
easat-9787	154	1	+	+	CCONJ
easat-9787	154	2	εt	εt	PROPN
easat-9787	154	3	(	(	PUNCT
easat-9787	154	4	2	2	NUM
easat-9787	154	5	)	)	PUNCT
easat-9787	154	6	with	with	ADP
easat-9787	154	7	different	different	ADJ
easat-9787	154	8	combinations	combination	NOUN
easat-9787	154	9	of	of	ADP
easat-9787	154	10	(	(	PUNCT
easat-9787	154	11	ϕ1	ϕ1	NOUN
easat-9787	154	12	,	,	PUNCT
easat-9787	154	13	ϕ2	ϕ2	ADV
easat-9787	154	14	)	)	PUNCT
easat-9787	154	15	(	(	PUNCT
easat-9787	154	16	to	to	PART
easat-9787	154	17	represent	represent	VERB
easat-9787	154	18	short	short	ADJ
easat-9787	154	19	-	-	PUNCT
easat-9787	154	20	term	term	NOUN
easat-9787	154	21	dynamics	dynamic	NOUN
easat-9787	154	22	and	and	CCONJ
easat-9787	154	23	near	near	ADJ
easat-9787	154	24	-	-	PUNCT
easat-9787	154	25	unit	unit	NOUN
easat-9787	154	26	root	root	NOUN
easat-9787	154	27	behavior	behavior	NOUN
easat-9787	154	28	)	)	PUNCT
easat-9787	154	29	.	.	PUNCT
easat-9787	155	1	yt	yt	PROPN
easat-9787	156	1	=	=	PUNCT
easat-9787	156	2	εt	εt	PROPN
easat-9787	156	3	+	+	PUNCT
easat-9787	156	4	θεt-1	θεt-1	NOUN
easat-9787	156	5	,	,	PUNCT
easat-9787	156	6	θ∈{−0.5,0.5	θ∈{−0.5,0.5	NOUN
easat-9787	156	7	(	(	PUNCT
easat-9787	156	8	3	3	NUM
easat-9787	156	9	)	)	PUNCT
easat-9787	156	10	yt	yt	NOUN
easat-9787	157	1	=	=	NOUN
easat-9787	157	2	ρy	ρy	NOUN
easat-9787	157	3	yt-1	yt-1	NOUN
easat-9787	157	4	+	+	CCONJ
easat-9787	157	5	θεt-1	θεt-1	PUNCT
easat-9787	157	6	+	+	ADV
easat-9787	157	7	εytt	εytt	VERB
easat-9787	157	8	(	(	PUNCT
easat-9787	157	9	4	4	X
easat-9787	157	10	)	)	PUNCT
easat-9787	157	11	each	each	DET
easat-9787	157	12	process	process	NOUN
easat-9787	157	13	is	be	AUX
easat-9787	157	14	generated	generate	VERB
easat-9787	157	15	with	with	ADP
easat-9787	157	16	i.i.d	i.i.d	PROPN
easat-9787	157	17	.	.	PUNCT
easat-9787	158	1	gaussian	gaussian	ADJ
easat-9787	158	2	innovations	innovation	NOUN
easat-9787	158	3	εt∼n(0,1	εt∼n(0,1	ADV
easat-9787	158	4	)	)	PUNCT
easat-9787	158	5	.	.	PUNCT
easat-9787	159	1	these	these	DET
easat-9787	159	2	dgps	dgps	PROPN
easat-9787	159	3	allow	allow	VERB
easat-9787	159	4	for	for	ADP
easat-9787	159	5	a	a	DET
easat-9787	159	6	controlled	control	VERB
easat-9787	159	7	assessment	assessment	NOUN
easat-9787	159	8	of	of	ADP
easat-9787	159	9	dw	dw	PROPN
easat-9787	159	10	test	test	NOUN
easat-9787	159	11	power	power	NOUN
easat-9787	159	12	in	in	ADP
easat-9787	159	13	the	the	DET
easat-9787	159	14	presence	presence	NOUN
easat-9787	159	15	of	of	ADP
easat-9787	159	16	varying	vary	VERB
easat-9787	159	17	dynamic	dynamic	ADJ
easat-9787	159	18	structures	structure	NOUN
easat-9787	159	19	,	,	PUNCT
easat-9787	159	20	including	include	VERB
easat-9787	159	21	both	both	CCONJ
easat-9787	159	22	purely	purely	ADV
easat-9787	159	23	autoregressive	autoregressive	ADJ
easat-9787	159	24	behavior	behavior	NOUN
easat-9787	159	25	and	and	CCONJ
easat-9787	159	26	more	more	ADV
easat-9787	159	27	complex	complex	ADJ
easat-9787	159	28	autocorrelation	autocorrelation	NOUN
easat-9787	159	29	induced	induce	VERB
easat-9787	159	30	by	by	ADP
easat-9787	159	31	moving	move	VERB
easat-9787	159	32	average	average	ADJ
easat-9787	159	33	components	component	NOUN
easat-9787	159	34	.	.	PUNCT
easat-9787	160	1	the	the	DET
easat-9787	160	2	simulation	simulation	NOUN
easat-9787	160	3	samples	sample	NOUN
easat-9787	160	4	are	be	AUX
easat-9787	160	5	generated	generate	VERB
easat-9787	160	6	at	at	ADP
easat-9787	160	7	the	the	DET
easat-9787	160	8	“	"	PUNCT
easat-9787	160	9	daily	daily	ADJ
easat-9787	160	10	”	"	PUNCT
easat-9787	160	11	frequency	frequency	NOUN
easat-9787	160	12	with	with	ADP
easat-9787	160	13	lengths	length	NOUN
easat-9787	160	14	t=250	t=250	PROPN
easat-9787	160	15	,	,	PUNCT
easat-9787	160	16	500	500	NUM
easat-9787	160	17	,	,	PUNCT
easat-9787	160	18	1000	1000	NUM
easat-9787	160	19	observations	observation	NOUN
easat-9787	160	20	,	,	PUNCT
easat-9787	160	21	simulating	simulate	VERB
easat-9787	160	22	series	series	NOUN
easat-9787	160	23	of	of	ADP
easat-9787	160	24	approximately	approximately	ADV
easat-9787	160	25	one	one	NUM
easat-9787	160	26	,	,	PUNCT
easat-9787	160	27	two	two	NUM
easat-9787	160	28	,	,	PUNCT
easat-9787	160	29	and	and	CCONJ
easat-9787	160	30	four	four	NUM
easat-9787	160	31	years	year	NOUN
easat-9787	160	32	of	of	ADP
easat-9787	160	33	trading	trading	NOUN
easat-9787	160	34	data	datum	NOUN
easat-9787	160	35	,	,	PUNCT
easat-9787	160	36	respectively	respectively	ADV
easat-9787	160	37	.	.	PUNCT
easat-9787	161	1	these	these	DET
easat-9787	161	2	samples	sample	NOUN
easat-9787	161	3	are	be	AUX
easat-9787	161	4	then	then	ADV
easat-9787	161	5	subjected	subject	VERB
easat-9787	161	6	to	to	ADP
easat-9787	161	7	different	different	ADJ
easat-9787	161	8	levels	level	NOUN
easat-9787	161	9	of	of	ADP
easat-9787	161	10	temporal	temporal	ADJ
easat-9787	161	11	aggregation	aggregation	NOUN
easat-9787	161	12	.	.	PUNCT
easat-9787	162	1	we	we	PRON
easat-9787	162	2	replicate	replicate	VERB
easat-9787	162	3	reducing	reduce	VERB
easat-9787	162	4	high	high	ADJ
easat-9787	162	5	-	-	PUNCT
easat-9787	162	6	frequency	frequency	NOUN
easat-9787	162	7	time	time	NOUN
easat-9787	162	8	series	series	NOUN
easat-9787	162	9	to	to	ADP
easat-9787	162	10	lower	low	ADJ
easat-9787	162	11	-	-	PUNCT
easat-9787	162	12	frequency	frequency	NOUN
easat-9787	162	13	aggregates	aggregate	NOUN
easat-9787	162	14	using	use	VERB
easat-9787	162	15	two	two	NUM
easat-9787	162	16	typical	typical	ADJ
easat-9787	162	17	aggregation	aggregation	NOUN
easat-9787	162	18	methods	method	NOUN
easat-9787	162	19	:	:	PUNCT
easat-9787	162	20	(	(	PUNCT
easat-9787	162	21	1	1	X
easat-9787	162	22	)	)	PUNCT
easat-9787	162	23	last	last	ADJ
easat-9787	162	24	observation	observation	NOUN
easat-9787	162	25	sampling	sample	VERB
easat-9787	162	26	(	(	PUNCT
easat-9787	162	27	los	los	PROPN
easat-9787	162	28	)	)	PUNCT
easat-9787	162	29	,	,	PUNCT
easat-9787	162	30	retaining	retain	VERB
easat-9787	162	31	every	every	DET
easat-9787	162	32	k	k	NOUN
easat-9787	162	33	-	-	PUNCT
easat-9787	162	34	th	th	VERB
easat-9787	162	35	observation	observation	NOUN
easat-9787	162	36	and	and	CCONJ
easat-9787	162	37	omitting	omit	VERB
easat-9787	162	38	the	the	DET
easat-9787	162	39	intervening	intervene	VERB
easat-9787	162	40	ones	one	NOUN
easat-9787	162	41	(	(	PUNCT
easat-9787	162	42	eq	eq	NOUN
easat-9787	162	43	.	.	PROPN
easat-9787	162	44	5	5	NUM
easat-9787	162	45	)	)	PUNCT
easat-9787	162	46	.	.	PUNCT
easat-9787	163	1	this	this	PRON
easat-9787	163	2	is	be	AUX
easat-9787	163	3	simulating	simulate	VERB
easat-9787	163	4	the	the	DET
easat-9787	163	5	measurement	measurement	NOUN
easat-9787	163	6	of	of	ADP
easat-9787	163	7	many	many	ADJ
easat-9787	163	8	economic	economic	ADJ
easat-9787	163	9	time	time	NOUN
easat-9787	163	10	series	series	NOUN
easat-9787	163	11	(	(	PUNCT
easat-9787	163	12	e.g.	e.g.	ADV
easat-9787	163	13	,	,	PUNCT
easat-9787	163	14	end	end	NOUN
easat-9787	163	15	-	-	PUNCT
easat-9787	163	16	of	of	ADP
easat-9787	163	17	-	-	PUNCT
easat-9787	163	18	month	month	NOUN
easat-9787	163	19	or	or	CCONJ
easat-9787	163	20	end	end	NOUN
easat-9787	163	21	-	-	PUNCT
easat-9787	163	22	of	of	ADP
easat-9787	163	23	-	-	PUNCT
easat-9787	163	24	week	week	NOUN
easat-9787	163	25	prices	price	NOUN
easat-9787	163	26	)	)	PUNCT
easat-9787	163	27	.	.	PUNCT
easat-9787	164	1	(	(	PUNCT
easat-9787	164	2	2	2	X
easat-9787	164	3	)	)	PUNCT
easat-9787	164	4	arithmetic	arithmetic	ADJ
easat-9787	164	5	averaging	averaging	NOUN
easat-9787	164	6	(	(	PUNCT
easat-9787	164	7	avg	avg	PROPN
easat-9787	164	8	)	)	PUNCT
easat-9787	164	9	that	that	PRON
easat-9787	164	10	aggregates	aggregate	VERB
easat-9787	164	11	groups	group	NOUN
easat-9787	164	12	of	of	ADP
easat-9787	164	13	k	k	PROPN
easat-9787	164	14	consecutive	consecutive	ADJ
easat-9787	164	15	observations	observation	NOUN
easat-9787	164	16	(	(	PUNCT
easat-9787	164	17	eq	eq	NOUN
easat-9787	164	18	.	.	PROPN
easat-9787	164	19	6	6	NUM
easat-9787	164	20	)	)	PUNCT
easat-9787	164	21	.	.	PUNCT
easat-9787	165	1	𝑦𝑡	𝑦𝑡	PROPN
easat-9787	165	2	(	(	PUNCT
easat-9787	165	3	𝑘	𝑘	NOUN
easat-9787	165	4	)	)	PUNCT
easat-9787	165	5	=	=	SYM
easat-9787	166	1	𝑦𝑡𝑘	𝑦𝑡𝑘	PROPN
easat-9787	166	2	(	(	PUNCT
easat-9787	166	3	5	5	NUM
easat-9787	166	4	)	)	PUNCT
easat-9787	166	5	𝑦𝑡	𝑦𝑡	NOUN
easat-9787	166	6	(	(	PUNCT
easat-9787	166	7	𝑘	𝑘	NOUN
easat-9787	166	8	)	)	PUNCT
easat-9787	166	9	=	=	SYM
easat-9787	167	1	1	1	NUM
easat-9787	167	2	𝑘	𝑘	PRON
easat-9787	167	3	∑	∑	PROPN
easat-9787	167	4	𝑦(𝑡−1)𝑘+1	𝑦(𝑡−1)𝑘+1	PROPN
easat-9787	167	5	𝑘	𝑘	PROPN
easat-9787	167	6	𝑖=1	𝑖=1	PROPN
easat-9787	167	7	(	(	PUNCT
easat-9787	167	8	6	6	NUM
easat-9787	167	9	)	)	PUNCT
easat-9787	167	10	we	we	PRON
easat-9787	167	11	consider	consider	VERB
easat-9787	167	12	aggregation	aggregation	NOUN
easat-9787	167	13	levels	level	NOUN
easat-9787	167	14	k∈{5,20	k∈{5,20	PROPN
easat-9787	167	15	}	}	PUNCT
easat-9787	167	16	that	that	PRON
easat-9787	167	17	are	be	AUX
easat-9787	167	18	roughly	roughly	ADV
easat-9787	167	19	weekly	weekly	ADJ
easat-9787	167	20	and	and	CCONJ
easat-9787	167	21	monthly	monthly	ADJ
easat-9787	167	22	aggregates	aggregate	NOUN
easat-9787	167	23	from	from	ADP
easat-9787	167	24	daily	daily	ADJ
easat-9787	167	25	observations	observation	NOUN
easat-9787	167	26	.	.	PUNCT
easat-9787	168	1	these	these	DET
easat-9787	168	2	plans	plan	NOUN
easat-9787	168	3	of	of	ADP
easat-9787	168	4	aggregation	aggregation	NOUN
easat-9787	168	5	match	match	VERB
easat-9787	168	6	common	common	ADJ
easat-9787	168	7	empirical	empirical	ADJ
easat-9787	168	8	practice	practice	NOUN
easat-9787	168	9	in	in	ADP
easat-9787	168	10	macroeconomics	macroeconomic	NOUN
easat-9787	168	11	and	and	CCONJ
easat-9787	168	12	finance	finance	NOUN
easat-9787	168	13	,	,	PUNCT
easat-9787	168	14	in	in	ADP
easat-9787	168	15	which	which	PRON
easat-9787	168	16	monthly	monthly	ADJ
easat-9787	168	17	or	or	CCONJ
easat-9787	168	18	quarterly	quarterly	ADJ
easat-9787	168	19	aggregates	aggregate	NOUN
easat-9787	168	20	are	be	AUX
easat-9787	168	21	often	often	ADV
easat-9787	168	22	used	use	VERB
easat-9787	168	23	in	in	ADP
easat-9787	168	24	place	place	NOUN
easat-9787	168	25	of	of	ADP
easat-9787	168	26	daily	daily	ADJ
easat-9787	168	27	data	datum	NOUN
easat-9787	168	28	on	on	ADP
easat-9787	168	29	grounds	ground	NOUN
easat-9787	168	30	of	of	ADP
easat-9787	168	31	computational	computational	ADJ
easat-9787	168	32	convenience	convenience	NOUN
easat-9787	168	33	or	or	CCONJ
easat-9787	168	34	interpretational	interpretational	ADJ
easat-9787	168	35	ease	ease	NOUN
easat-9787	168	36	[	[	X
easat-9787	168	37	3	3	NUM
easat-9787	168	38	,	,	PUNCT
easat-9787	168	39	5	5	NUM
easat-9787	168	40	]	]	PUNCT
easat-9787	168	41	.	.	PUNCT
easat-9787	169	1	for	for	ADP
easat-9787	169	2	each	each	DET
easat-9787	169	3	dgp	dgp	NOUN
easat-9787	169	4	and	and	CCONJ
easat-9787	169	5	aggregation	aggregation	NOUN
easat-9787	169	6	level	level	NOUN
easat-9787	169	7	,	,	PUNCT
easat-9787	169	8	we	we	PRON
easat-9787	169	9	conduct	conduct	VERB
easat-9787	169	10	monte	monte	PROPN
easat-9787	169	11	carlo	carlo	PROPN
easat-9787	169	12	simulations	simulation	NOUN
easat-9787	169	13	with	with	ADP
easat-9787	169	14	r=1,000	r=1,000	ADJ
easat-9787	169	15	replications	replication	NOUN
easat-9787	169	16	.	.	PUNCT
easat-9787	170	1	in	in	ADP
easat-9787	170	2	each	each	DET
easat-9787	170	3	replication	replication	NOUN
easat-9787	170	4	,	,	PUNCT
easat-9787	170	5	we	we	PRON
easat-9787	170	6	generate	generate	VERB
easat-9787	170	7	a	a	DET
easat-9787	170	8	time	time	NOUN
easat-9787	170	9	yt	yt	NOUN
easat-9787	170	10	from	from	ADP
easat-9787	170	11	a	a	DET
easat-9787	170	12	given	give	VERB
easat-9787	170	13	dgp	dgp	NOUN
easat-9787	170	14	,	,	PUNCT
easat-9787	170	15	aggregate	aggregate	VERB
easat-9787	170	16	it	it	PRON
easat-9787	170	17	according	accord	VERB
easat-9787	170	18	to	to	ADP
easat-9787	170	19	the	the	DET
easat-9787	170	20	scheme	scheme	NOUN
easat-9787	170	21	described	describe	VERB
easat-9787	170	22	above	above	ADV
easat-9787	170	23	,	,	PUNCT
easat-9787	170	24	and	and	CCONJ
easat-9787	170	25	fit	fit	VERB
easat-9787	170	26	a	a	DET
easat-9787	170	27	linear	linear	ADJ
easat-9787	170	28	regression	regression	NOUN
easat-9787	170	29	model	model	NOUN
easat-9787	170	30	:	:	PUNCT
easat-9787	170	31	yt	yt	PROPN
easat-9787	170	32	=	=	PUNCT
easat-9787	170	33	β0	β0	PROPN
easat-9787	170	34	+	+	CCONJ
easat-9787	170	35	β1	β1	PROPN
easat-9787	170	36	+	+	CCONJ
easat-9787	170	37	xt	xt	X
easat-9787	171	1	+	+	CCONJ
easat-9787	171	2	ut	ut	PROPN
easat-9787	171	3	(	(	PUNCT
easat-9787	171	4	7	7	NUM
easat-9787	171	5	)	)	PUNCT
easat-9787	171	6	where	where	SCONJ
easat-9787	171	7	xt	xt	PROPN
easat-9787	171	8	is	be	AUX
easat-9787	171	9	either	either	CCONJ
easat-9787	171	10	a	a	DET
easat-9787	171	11	constant	constant	ADJ
easat-9787	171	12	or	or	CCONJ
easat-9787	171	13	a	a	DET
easat-9787	171	14	lagged	lag	VERB
easat-9787	171	15	version	version	NOUN
easat-9787	171	16	of	of	ADP
easat-9787	171	17	yt−1	yt−1	PROPN
easat-9787	171	18	,	,	PUNCT
easat-9787	171	19	depending	depend	VERB
easat-9787	171	20	on	on	ADP
easat-9787	171	21	the	the	DET
easat-9787	171	22	dgp	dgp	NOUN
easat-9787	171	23	.	.	PUNCT
easat-9787	172	1	the	the	DET
easat-9787	172	2	residuals	residual	NOUN
easat-9787	172	3	�	�	NOUN
easat-9787	172	4	̂	̂	NOUN
easat-9787	172	5	�	�	NOUN
easat-9787	172	6	t	t	NOUN
easat-9787	172	7	from	from	ADP
easat-9787	172	8	the	the	DET
easat-9787	172	9	regression	regression	NOUN
easat-9787	172	10	are	be	AUX
easat-9787	172	11	used	use	VERB
easat-9787	172	12	to	to	PART
easat-9787	172	13	compute	compute	VERB
easat-9787	172	14	the	the	DET
easat-9787	172	15	durbin	durbin	ADJ
easat-9787	172	16	-	-	PUNCT
easat-9787	172	17	watson	watson	NOUN
easat-9787	172	18	statistic	statistic	NOUN
easat-9787	172	19	:	:	PUNCT
easat-9787	172	20	dw	dw	PROPN
easat-9787	172	21	=	=	SYM
easat-9787	172	22	∑	∑	PROPN
easat-9787	172	23	(	(	PUNCT
easat-9787	172	24	(	(	PUNCT
easat-9787	172	25	�	�	NOUN
easat-9787	172	26	̂	̂	SYM
easat-9787	172	27	�	�	PROPN
easat-9787	172	28	𝑡−	𝑡−	PROPN
easat-9787	172	29	�	�	PROPN
easat-9787	172	30	̂	̂	SYM
easat-9787	172	31	�	�	NOUN
easat-9787	172	32	𝑡−1	𝑡−1	PROPN
easat-9787	172	33	)	)	PUNCT
easat-9787	172	34	)	)	PUNCT
easat-9787	172	35	2𝑇	2𝑇	PROPN
easat-9787	172	36	𝑡=2	𝑡=2	VERB
easat-9787	172	37	∑	∑	ADP
easat-9787	172	38	𝑢2𝑇	𝑢2𝑇	NOUN
easat-9787	172	39	𝑡=1	𝑡=1	PROPN
easat-9787	172	40	(	(	PUNCT
easat-9787	172	41	8)	8)	NUM
easat-9787	172	42	a	a	DET
easat-9787	172	43	critical	critical	ADJ
easat-9787	172	44	value	value	NOUN
easat-9787	172	45	approach	approach	NOUN
easat-9787	172	46	is	be	AUX
easat-9787	172	47	used	use	VERB
easat-9787	172	48	to	to	PART
easat-9787	172	49	determine	determine	VERB
easat-9787	172	50	whether	whether	SCONJ
easat-9787	172	51	the	the	DET
easat-9787	172	52	dw	dw	PROPN
easat-9787	172	53	statistic	statistic	PROPN
easat-9787	172	54	indicates	indicate	VERB
easat-9787	172	55	significant	significant	ADJ
easat-9787	172	56	autocorrelation	autocorrelation	NOUN
easat-9787	172	57	at	at	ADP
easat-9787	172	58	the	the	DET
easat-9787	172	59	5	5	NUM
easat-9787	172	60	%	%	NOUN
easat-9787	172	61	level	level	NOUN
easat-9787	172	62	,	,	PUNCT
easat-9787	172	63	comparing	compare	VERB
easat-9787	172	64	against	against	ADP
easat-9787	172	65	simulated	simulate	VERB
easat-9787	172	66	critical	critical	ADJ
easat-9787	172	67	values	value	NOUN
easat-9787	172	68	or	or	CCONJ
easat-9787	172	69	,	,	PUNCT
easat-9787	172	70	when	when	SCONJ
easat-9787	172	71	appropriate	appropriate	ADJ
easat-9787	172	72	,	,	PUNCT
easat-9787	172	73	standard	standard	ADJ
easat-9787	172	74	lower	low	ADJ
easat-9787	172	75	and	and	CCONJ
easat-9787	172	76	upper	upper	ADJ
easat-9787	172	77	bounds	bound	NOUN
easat-9787	172	78	from	from	ADP
easat-9787	172	79	savin	savin	NOUN
easat-9787	172	80	and	and	CCONJ
easat-9787	172	81	white	white	ADJ
easat-9787	173	1	[	[	X
easat-9787	173	2	15	15	NUM
easat-9787	173	3	]	]	PUNCT
easat-9787	173	4	.	.	PUNCT
easat-9787	174	1	for	for	ADP
easat-9787	174	2	each	each	DET
easat-9787	174	3	simulation	simulation	NOUN
easat-9787	174	4	scenario	scenario	NOUN
easat-9787	174	5	,	,	PUNCT
easat-9787	174	6	we	we	PRON
easat-9787	174	7	232	232	NUM
easat-9787	174	8	edelweiss	edelweiss	PROPN
easat-9787	174	9	applied	apply	VERB
easat-9787	174	10	science	science	NOUN
easat-9787	174	11	and	and	CCONJ
easat-9787	174	12	technology	technology	NOUN
easat-9787	174	13	issn	issn	PROPN
easat-9787	174	14	:	:	PUNCT
easat-9787	174	15	2576	2576	NUM
easat-9787	174	16	-	-	SYM
easat-9787	174	17	8484	8484	NUM
easat-9787	174	18	vol	vol	NOUN
easat-9787	174	19	.	.	PROPN
easat-9787	175	1	9	9	NUM
easat-9787	175	2	,	,	PUNCT
easat-9787	175	3	no	no	INTJ
easat-9787	175	4	.	.	NOUN
easat-9787	175	5	9	9	NUM
easat-9787	175	6	:	:	SYM
easat-9787	175	7	226	226	NUM
easat-9787	175	8	-	-	SYM
easat-9787	175	9	244	244	NUM
easat-9787	175	10	,	,	PUNCT
easat-9787	175	11	2025	2025	NUM
easat-9787	175	12	doi	doi	NOUN
easat-9787	175	13	:	:	PUNCT
easat-9787	175	14	10.55214/2576	10.55214/2576	NUM
easat-9787	175	15	-	-	PUNCT
easat-9787	175	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	175	17	©	©	PROPN
easat-9787	175	18	2025	2025	NUM
easat-9787	175	19	by	by	ADP
easat-9787	175	20	the	the	DET
easat-9787	175	21	author	author	NOUN
easat-9787	175	22	;	;	PUNCT
easat-9787	175	23	licensee	licensee	PROPN
easat-9787	175	24	learning	learning	PROPN
easat-9787	175	25	gate	gate	PROPN
easat-9787	175	26	compute	compute	VERB
easat-9787	175	27	the	the	DET
easat-9787	175	28	empirical	empirical	ADJ
easat-9787	175	29	rejection	rejection	NOUN
easat-9787	175	30	rate	rate	NOUN
easat-9787	175	31	—	—	PUNCT
easat-9787	175	32	the	the	DET
easat-9787	175	33	proportion	proportion	NOUN
easat-9787	175	34	of	of	ADP
easat-9787	175	35	replications	replication	NOUN
easat-9787	175	36	in	in	ADP
easat-9787	175	37	which	which	PRON
easat-9787	175	38	the	the	DET
easat-9787	175	39	null	null	ADJ
easat-9787	175	40	hypothesis	hypothesis	NOUN
easat-9787	175	41	of	of	ADP
easat-9787	175	42	no	no	DET
easat-9787	175	43	autocorrelation	autocorrelation	NOUN
easat-9787	175	44	is	be	AUX
easat-9787	175	45	rejected	reject	VERB
easat-9787	175	46	.	.	PUNCT
easat-9787	176	1	this	this	PRON
easat-9787	176	2	gives	give	VERB
easat-9787	176	3	an	an	DET
easat-9787	176	4	estimate	estimate	NOUN
easat-9787	176	5	of	of	ADP
easat-9787	176	6	the	the	DET
easat-9787	176	7	test	test	NOUN
easat-9787	176	8	’s	’s	PART
easat-9787	176	9	empirical	empirical	ADJ
easat-9787	176	10	power	power	NOUN
easat-9787	176	11	under	under	ADP
easat-9787	176	12	different	different	ADJ
easat-9787	176	13	levels	level	NOUN
easat-9787	176	14	of	of	ADP
easat-9787	176	15	autocorrelation	autocorrelation	NOUN
easat-9787	176	16	and	and	CCONJ
easat-9787	176	17	aggregation	aggregation	NOUN
easat-9787	176	18	.	.	PUNCT
easat-9787	177	1	we	we	PRON
easat-9787	177	2	also	also	ADV
easat-9787	177	3	contrast	contrast	VERB
easat-9787	177	4	the	the	DET
easat-9787	177	5	dw	dw	NOUN
easat-9787	177	6	test	test	NOUN
easat-9787	177	7	results	result	NOUN
easat-9787	177	8	against	against	ADP
easat-9787	177	9	two	two	NUM
easat-9787	177	10	other	other	ADJ
easat-9787	177	11	diagnostics	diagnostic	NOUN
easat-9787	177	12	:	:	PUNCT
easat-9787	177	13	the	the	DET
easat-9787	177	14	breusch	breusch	NOUN
easat-9787	177	15	-	-	PUNCT
easat-9787	177	16	godfrey	godfrey	NOUN
easat-9787	177	17	(	(	PUNCT
easat-9787	177	18	bg	bg	PROPN
easat-9787	177	19	)	)	PUNCT
easat-9787	177	20	lagrange	lagrange	PROPN
easat-9787	177	21	multiplier	multipli	ADJ
easat-9787	177	22	test	test	NOUN
easat-9787	177	23	,	,	PUNCT
easat-9787	177	24	a	a	DET
easat-9787	177	25	more	more	ADV
easat-9787	177	26	general	general	ADJ
easat-9787	177	27	test	test	NOUN
easat-9787	177	28	for	for	ADP
easat-9787	177	29	higher	high	ADJ
easat-9787	177	30	-	-	PUNCT
easat-9787	177	31	order	order	NOUN
easat-9787	177	32	serial	serial	ADJ
easat-9787	177	33	correlation	correlation	NOUN
easat-9787	177	34	,	,	PUNCT
easat-9787	177	35	and	and	CCONJ
easat-9787	177	36	the	the	DET
easat-9787	177	37	ljung	ljung	ADJ
easat-9787	177	38	-	-	PUNCT
easat-9787	177	39	box	box	NOUN
easat-9787	177	40	qtest	qtest	NOUN
easat-9787	177	41	,	,	PUNCT
easat-9787	177	42	a	a	DET
easat-9787	177	43	portmanteau	portmanteau	NOUN
easat-9787	177	44	test	test	NOUN
easat-9787	177	45	that	that	PRON
easat-9787	177	46	tests	test	VERB
easat-9787	177	47	for	for	ADP
easat-9787	177	48	up	up	ADP
easat-9787	177	49	to	to	ADP
easat-9787	177	50	a	a	DET
easat-9787	177	51	specified	specify	VERB
easat-9787	177	52	-	-	PUNCT
easat-9787	177	53	order	order	NOUN
easat-9787	177	54	autocorrelation	autocorrelation	NOUN
easat-9787	177	55	.	.	PUNCT
easat-9787	178	1	such	such	ADJ
easat-9787	178	2	comparisons	comparison	NOUN
easat-9787	178	3	put	put	VERB
easat-9787	178	4	the	the	DET
easat-9787	178	5	dw	dw	PROPN
easat-9787	178	6	test	test	NOUN
easat-9787	178	7	performance	performance	NOUN
easat-9787	178	8	in	in	ADP
easat-9787	178	9	perspective	perspective	NOUN
easat-9787	178	10	relative	relative	ADJ
easat-9787	178	11	to	to	ADP
easat-9787	178	12	these	these	DET
easat-9787	178	13	more	more	ADV
easat-9787	178	14	general	general	ADJ
easat-9787	178	15	alternatives	alternative	NOUN
easat-9787	178	16	,	,	PUNCT
easat-9787	178	17	which	which	PRON
easat-9787	178	18	may	may	AUX
easat-9787	178	19	be	be	AUX
easat-9787	178	20	less	less	ADV
easat-9787	178	21	sensitive	sensitive	ADJ
easat-9787	178	22	to	to	ADP
easat-9787	178	23	time	time	NOUN
easat-9787	178	24	aggregation	aggregation	NOUN
easat-9787	178	25	.	.	PUNCT
easat-9787	179	1	in	in	ADP
easat-9787	179	2	an	an	DET
easat-9787	179	3	attempt	attempt	NOUN
easat-9787	179	4	to	to	PART
easat-9787	179	5	examine	examine	VERB
easat-9787	179	6	whether	whether	SCONJ
easat-9787	179	7	aggregation	aggregation	NOUN
easat-9787	179	8	-	-	PUNCT
easat-9787	179	9	induced	induced	ADJ
easat-9787	179	10	weakening	weakening	NOUN
easat-9787	179	11	of	of	ADP
easat-9787	179	12	the	the	DET
easat-9787	179	13	dw	dw	PROPN
easat-9787	179	14	test	test	NOUN
easat-9787	179	15	is	be	AUX
easat-9787	179	16	due	due	ADJ
easat-9787	179	17	to	to	ADP
easat-9787	179	18	implicit	implicit	ADJ
easat-9787	179	19	model	model	NOUN
easat-9787	179	20	misspecification	misspecification	NOUN
easat-9787	179	21	,	,	PUNCT
easat-9787	179	22	we	we	PRON
easat-9787	179	23	conduct	conduct	VERB
easat-9787	179	24	the	the	DET
easat-9787	179	25	simulations	simulation	NOUN
easat-9787	179	26	under	under	ADP
easat-9787	179	27	three	three	NUM
easat-9787	179	28	additional	additional	ADJ
easat-9787	179	29	conditions	condition	NOUN
easat-9787	179	30	:	:	PUNCT
easat-9787	179	31	1	1	X
easat-9787	179	32	.	.	X
easat-9787	179	33	incorrect	incorrect	ADJ
easat-9787	179	34	lag	lag	NOUN
easat-9787	179	35	order	order	NOUN
easat-9787	179	36	:	:	PUNCT
easat-9787	179	37	ar(2	ar(2	NOUN
easat-9787	179	38	)	)	PUNCT
easat-9787	179	39	process	process	NOUN
easat-9787	179	40	is	be	AUX
easat-9787	179	41	estimated	estimate	VERB
easat-9787	179	42	as	as	ADP
easat-9787	179	43	ar(1	ar(1	PROPN
easat-9787	179	44	)	)	PUNCT
easat-9787	179	45	,	,	PUNCT
easat-9787	179	46	and	and	CCONJ
easat-9787	179	47	this	this	PRON
easat-9787	179	48	generates	generate	VERB
easat-9787	179	49	omitted	omit	VERB
easat-9787	179	50	variable	variable	ADJ
easat-9787	179	51	bias	bias	NOUN
easat-9787	179	52	.	.	PUNCT
easat-9787	180	1	2	2	X
easat-9787	180	2	.	.	X
easat-9787	180	3	nonlinear	nonlinear	ADJ
easat-9787	180	4	transformation	transformation	NOUN
easat-9787	180	5	:	:	PUNCT
easat-9787	180	6	the	the	DET
easat-9787	180	7	data	datum	NOUN
easat-9787	180	8	is	be	AUX
easat-9787	180	9	transformed	transform	VERB
easat-9787	180	10	using	use	VERB
easat-9787	180	11	log(1+yt	log(1+yt	PRON
easat-9787	180	12	)	)	PUNCT
easat-9787	180	13	before	before	ADP
easat-9787	180	14	estimation	estimation	NOUN
easat-9787	180	15	to	to	PART
easat-9787	180	16	assess	assess	VERB
easat-9787	180	17	the	the	DET
easat-9787	180	18	effect	effect	NOUN
easat-9787	180	19	of	of	ADP
easat-9787	180	20	nonlinear	nonlinear	ADJ
easat-9787	180	21	aggregation	aggregation	NOUN
easat-9787	180	22	effects	effect	NOUN
easat-9787	180	23	.	.	PUNCT
easat-9787	181	1	3	3	X
easat-9787	181	2	.	.	X
easat-9787	181	3	heteroskedastic	heteroskedastic	ADJ
easat-9787	181	4	innovations	innovation	NOUN
easat-9787	181	5	:	:	PUNCT
easat-9787	181	6	innovations	innovation	NOUN
easat-9787	181	7	εt	εt	PRON
easat-9787	181	8	are	be	AUX
easat-9787	181	9	garch(1,1	garch(1,1	NOUN
easat-9787	181	10	)	)	PUNCT
easat-9787	181	11	to	to	PART
easat-9787	181	12	check	check	VERB
easat-9787	181	13	for	for	ADP
easat-9787	181	14	sensitivity	sensitivity	NOUN
easat-9787	181	15	to	to	ADP
easat-9787	181	16	changes	change	NOUN
easat-9787	181	17	in	in	ADP
easat-9787	181	18	conditional	conditional	ADJ
easat-9787	181	19	variance	variance	NOUN
easat-9787	181	20	.	.	PUNCT
easat-9787	182	1	in	in	ADP
easat-9787	182	2	all	all	DET
easat-9787	182	3	three	three	NUM
easat-9787	182	4	instances	instance	NOUN
easat-9787	182	5	,	,	PUNCT
easat-9787	182	6	we	we	PRON
easat-9787	182	7	check	check	VERB
easat-9787	182	8	if	if	SCONJ
easat-9787	182	9	temporal	temporal	ADJ
easat-9787	182	10	aggregation	aggregation	NOUN
easat-9787	182	11	further	far	ADV
easat-9787	182	12	deteriorates	deteriorate	VERB
easat-9787	182	13	test	test	NOUN
easat-9787	182	14	performance	performance	NOUN
easat-9787	182	15	and	and	CCONJ
easat-9787	182	16	if	if	SCONJ
easat-9787	182	17	residual	residual	ADJ
easat-9787	182	18	misspecification	misspecification	NOUN
easat-9787	182	19	exacerbates	exacerbate	VERB
easat-9787	182	20	type	type	NOUN
easat-9787	182	21	ii	ii	NOUN
easat-9787	182	22	errors	error	NOUN
easat-9787	182	23	.	.	PUNCT
easat-9787	183	1	to	to	PART
easat-9787	183	2	validate	validate	VERB
easat-9787	183	3	the	the	DET
easat-9787	183	4	simulation	simulation	NOUN
easat-9787	183	5	findings	finding	NOUN
easat-9787	183	6	in	in	ADP
easat-9787	183	7	a	a	DET
easat-9787	183	8	real	real	ADJ
easat-9787	183	9	-	-	PUNCT
easat-9787	183	10	world	world	NOUN
easat-9787	183	11	setting	setting	NOUN
easat-9787	183	12	,	,	PUNCT
easat-9787	183	13	we	we	PRON
easat-9787	183	14	conduct	conduct	VERB
easat-9787	183	15	an	an	DET
easat-9787	183	16	empirical	empirical	ADJ
easat-9787	183	17	analysis	analysis	NOUN
easat-9787	183	18	using	use	VERB
easat-9787	183	19	high	high	ADJ
easat-9787	183	20	-	-	PUNCT
easat-9787	183	21	frequency	frequency	NOUN
easat-9787	183	22	financial	financial	ADJ
easat-9787	183	23	time	time	NOUN
easat-9787	183	24	series	series	NOUN
easat-9787	183	25	.	.	PUNCT
easat-9787	184	1	we	we	PRON
easat-9787	184	2	obtain	obtain	VERB
easat-9787	184	3	daily	daily	ADJ
easat-9787	184	4	closing	closing	NOUN
easat-9787	184	5	exchange	exchange	NOUN
easat-9787	184	6	rates	rate	NOUN
easat-9787	184	7	for	for	ADP
easat-9787	184	8	:	:	PUNCT
easat-9787	184	9	eur	eur	ADJ
easat-9787	184	10	/	/	SYM
easat-9787	184	11	usd	usd	NOUN
easat-9787	184	12	and	and	CCONJ
easat-9787	184	13	gbp	gbp	NOUN
easat-9787	184	14	/	/	SYM
easat-9787	184	15	usd	usd	NOUN
easat-9787	184	16	,	,	PUNCT
easat-9787	184	17	covering	cover	VERB
easat-9787	184	18	the	the	DET
easat-9787	184	19	period	period	NOUN
easat-9787	184	20	january	january	PROPN
easat-9787	184	21	1	1	NUM
easat-9787	184	22	,	,	PUNCT
easat-9787	184	23	2016	2016	NUM
easat-9787	184	24	,	,	PUNCT
easat-9787	184	25	to	to	ADP
easat-9787	184	26	december	december	PROPN
easat-9787	184	27	31	31	NUM
easat-9787	184	28	,	,	PUNCT
easat-9787	184	29	2023	2023	NUM
easat-9787	184	30	,	,	PUNCT
easat-9787	184	31	amounting	amount	VERB
easat-9787	184	32	to	to	ADP
easat-9787	184	33	approximately	approximately	ADV
easat-9787	184	34	2,000	2,000	NUM
easat-9787	184	35	observations	observation	NOUN
easat-9787	184	36	per	per	ADP
easat-9787	184	37	series	series	NOUN
easat-9787	184	38	from	from	ADP
easat-9787	184	39	the	the	DET
easat-9787	184	40	federal	federal	PROPN
easat-9787	184	41	reserve	reserve	PROPN
easat-9787	184	42	bank	bank	PROPN
easat-9787	184	43	of	of	ADP
easat-9787	184	44	st	st	PROPN
easat-9787	184	45	.	.	PROPN
easat-9787	184	46	louis	louis	PROPN
easat-9787	184	47	(	(	PUNCT
easat-9787	184	48	https://fred.stlouisfed.org/	https://fred.stlouisfed.org/	NOUN
easat-9787	184	49	)	)	PUNCT
easat-9787	184	50	.	.	PUNCT
easat-9787	185	1	these	these	DET
easat-9787	185	2	series	serie	NOUN
easat-9787	185	3	are	be	AUX
easat-9787	185	4	chosen	choose	VERB
easat-9787	185	5	for	for	ADP
easat-9787	185	6	their	their	PRON
easat-9787	185	7	liquidity	liquidity	NOUN
easat-9787	185	8	,	,	PUNCT
easat-9787	185	9	volatility	volatility	NOUN
easat-9787	185	10	,	,	PUNCT
easat-9787	185	11	and	and	CCONJ
easat-9787	185	12	prominence	prominence	NOUN
easat-9787	185	13	in	in	ADP
easat-9787	185	14	the	the	DET
easat-9787	185	15	international	international	ADJ
easat-9787	185	16	financial	financial	ADJ
easat-9787	185	17	system	system	NOUN
easat-9787	185	18	.	.	PUNCT
easat-9787	186	1	they	they	PRON
easat-9787	186	2	are	be	AUX
easat-9787	186	3	also	also	ADV
easat-9787	186	4	ideal	ideal	ADJ
easat-9787	186	5	for	for	ADP
easat-9787	186	6	examining	examine	VERB
easat-9787	186	7	autocorrelation	autocorrelation	NOUN
easat-9787	186	8	and	and	CCONJ
easat-9787	186	9	aggregation	aggregation	NOUN
easat-9787	186	10	effects	effect	NOUN
easat-9787	186	11	because	because	SCONJ
easat-9787	186	12	of	of	ADP
easat-9787	186	13	their	their	PRON
easat-9787	186	14	availability	availability	NOUN
easat-9787	186	15	at	at	ADP
easat-9787	186	16	high	high	ADJ
easat-9787	186	17	temporal	temporal	ADJ
easat-9787	186	18	resolution	resolution	NOUN
easat-9787	186	19	.	.	PUNCT
easat-9787	187	1	we	we	PRON
easat-9787	187	2	construct	construct	VERB
easat-9787	187	3	aggregated	aggregate	VERB
easat-9787	187	4	versions	version	NOUN
easat-9787	187	5	of	of	ADP
easat-9787	187	6	each	each	DET
easat-9787	187	7	series	series	NOUN
easat-9787	187	8	at	at	ADP
easat-9787	187	9	weekly	weekly	ADJ
easat-9787	187	10	and	and	CCONJ
easat-9787	187	11	monthly	monthly	ADJ
easat-9787	187	12	frequencies	frequency	NOUN
easat-9787	187	13	using	use	VERB
easat-9787	187	14	both	both	DET
easat-9787	187	15	los	los	PROPN
easat-9787	187	16	and	and	CCONJ
easat-9787	187	17	avg	avg	PROPN
easat-9787	187	18	schemes	scheme	NOUN
easat-9787	187	19	.	.	PUNCT
easat-9787	188	1	for	for	ADP
easat-9787	188	2	each	each	DET
easat-9787	188	3	version	version	NOUN
easat-9787	188	4	of	of	ADP
easat-9787	188	5	the	the	DET
easat-9787	188	6	data	datum	NOUN
easat-9787	188	7	,	,	PUNCT
easat-9787	188	8	we	we	PRON
easat-9787	188	9	fit	fit	VERB
easat-9787	188	10	linear	linear	ADJ
easat-9787	188	11	autoregressive	autoregressive	ADJ
easat-9787	188	12	models	model	NOUN
easat-9787	188	13	(	(	PUNCT
easat-9787	188	14	e.g.	e.g.	ADV
easat-9787	188	15	,	,	PUNCT
easat-9787	188	16	ar(1	ar(1	NOUN
easat-9787	188	17	)	)	PUNCT
easat-9787	188	18	or	or	CCONJ
easat-9787	188	19	ar(2	ar(2	NOUN
easat-9787	188	20	)	)	PUNCT
easat-9787	188	21	)	)	PUNCT
easat-9787	188	22	and	and	CCONJ
easat-9787	188	23	compute	compute	VERB
easat-9787	188	24	the	the	DET
easat-9787	188	25	dw	dw	PROPN
easat-9787	188	26	statistic	statistic	PROPN
easat-9787	188	27	from	from	ADP
easat-9787	188	28	the	the	DET
easat-9787	188	29	regression	regression	NOUN
easat-9787	188	30	residuals.1	residuals.1	NOUN
easat-9787	188	31	the	the	DET
easat-9787	188	32	aim	aim	NOUN
easat-9787	188	33	is	be	AUX
easat-9787	188	34	to	to	PART
easat-9787	188	35	check	check	VERB
easat-9787	188	36	whether	whether	SCONJ
easat-9787	188	37	the	the	DET
easat-9787	188	38	empirical	empirical	ADJ
easat-9787	188	39	dw	dw	PROPN
easat-9787	188	40	statistics	statistic	NOUN
easat-9787	188	41	converge	converge	VERB
easat-9787	188	42	towards	towards	ADP
easat-9787	188	43	2	2	NUM
easat-9787	188	44	(	(	PUNCT
easat-9787	188	45	no	no	DET
easat-9787	188	46	autocorrelation	autocorrelation	NOUN
easat-9787	188	47	)	)	PUNCT
easat-9787	188	48	when	when	SCONJ
easat-9787	188	49	the	the	DET
easat-9787	188	50	frequency	frequency	NOUN
easat-9787	188	51	decreases	decrease	VERB
easat-9787	188	52	—	—	PUNCT
easat-9787	188	53	a	a	DET
easat-9787	188	54	power	power	NOUN
easat-9787	188	55	loss	loss	NOUN
easat-9787	188	56	indicator	indicator	NOUN
easat-9787	188	57	.	.	PUNCT
easat-9787	189	1	the	the	DET
easat-9787	189	2	appearance	appearance	NOUN
easat-9787	189	3	or	or	CCONJ
easat-9787	189	4	disappearance	disappearance	NOUN
easat-9787	189	5	of	of	ADP
easat-9787	189	6	systematic	systematic	ADJ
easat-9787	189	7	patterns	pattern	NOUN
easat-9787	189	8	of	of	ADP
easat-9787	189	9	autocorrelation	autocorrelation	NOUN
easat-9787	189	10	at	at	ADP
easat-9787	189	11	various	various	ADJ
easat-9787	189	12	levels	level	NOUN
easat-9787	189	13	of	of	ADP
easat-9787	189	14	aggregation	aggregation	NOUN
easat-9787	189	15	is	be	AUX
easat-9787	189	16	interpreted	interpret	VERB
easat-9787	189	17	from	from	ADP
easat-9787	189	18	the	the	DET
easat-9787	189	19	results	result	NOUN
easat-9787	189	20	of	of	ADP
easat-9787	189	21	simulations	simulation	NOUN
easat-9787	189	22	.	.	PUNCT
easat-9787	190	1	this	this	DET
easat-9787	190	2	study	study	NOUN
easat-9787	190	3	’s	’s	PART
easat-9787	190	4	methodological	methodological	ADJ
easat-9787	190	5	design	design	NOUN
easat-9787	190	6	is	be	AUX
easat-9787	190	7	distinguished	distinguish	VERB
easat-9787	190	8	by	by	ADP
easat-9787	190	9	the	the	DET
easat-9787	190	10	following	follow	VERB
easat-9787	190	11	characteristics	characteristic	NOUN
easat-9787	190	12	:	:	PUNCT
easat-9787	190	13	•	•	NUM
easat-9787	190	14	controlled	control	VERB
easat-9787	190	15	simulation	simulation	NOUN
easat-9787	190	16	setting	set	VERB
easat-9787	190	17	:	:	PUNCT
easat-9787	190	18	monte	monte	PROPN
easat-9787	190	19	carlo	carlo	PROPN
easat-9787	190	20	simulations	simulation	NOUN
easat-9787	190	21	allow	allow	VERB
easat-9787	190	22	for	for	ADP
easat-9787	190	23	precise	precise	ADJ
easat-9787	190	24	evaluation	evaluation	NOUN
easat-9787	190	25	of	of	ADP
easat-9787	190	26	test	test	NOUN
easat-9787	190	27	power	power	NOUN
easat-9787	190	28	under	under	ADP
easat-9787	190	29	known	know	VERB
easat-9787	190	30	data	data	NOUN
easat-9787	190	31	-	-	PUNCT
easat-9787	190	32	generating	generate	VERB
easat-9787	190	33	conditions	condition	NOUN
easat-9787	190	34	and	and	CCONJ
easat-9787	190	35	changing	change	VERB
easat-9787	190	36	aggregation	aggregation	NOUN
easat-9787	190	37	schemes	scheme	NOUN
easat-9787	190	38	,	,	PUNCT
easat-9787	190	39	enabling	enable	VERB
easat-9787	190	40	finegrained	finegraine	VERB
easat-9787	190	41	analysis	analysis	NOUN
easat-9787	190	42	of	of	ADP
easat-9787	190	43	how	how	SCONJ
easat-9787	190	44	the	the	DET
easat-9787	190	45	dw	dw	PROPN
easat-9787	190	46	test	test	NOUN
easat-9787	190	47	handles	handle	VERB
easat-9787	190	48	systematic	systematic	ADJ
easat-9787	190	49	temporal	temporal	ADJ
easat-9787	190	50	distortion	distortion	NOUN
easat-9787	190	51	.	.	PUNCT
easat-9787	191	1	•	•	NUM
easat-9787	191	2	comparison	comparison	NOUN
easat-9787	191	3	of	of	ADP
easat-9787	191	4	aggregation	aggregation	NOUN
easat-9787	191	5	scheme	scheme	NOUN
easat-9787	191	6	:	:	PUNCT
easat-9787	191	7	with	with	ADP
easat-9787	191	8	coverage	coverage	NOUN
easat-9787	191	9	of	of	ADP
easat-9787	191	10	both	both	DET
easat-9787	191	11	los	los	PROPN
easat-9787	191	12	and	and	CCONJ
easat-9787	191	13	avg	avg	PROPN
easat-9787	191	14	methods	method	NOUN
easat-9787	191	15	,	,	PUNCT
easat-9787	191	16	the	the	DET
easat-9787	191	17	research	research	NOUN
easat-9787	191	18	accounts	account	VERB
easat-9787	191	19	for	for	ADP
easat-9787	191	20	usual	usual	ADJ
easat-9787	191	21	empirical	empirical	ADJ
easat-9787	191	22	methods	method	NOUN
easat-9787	191	23	and	and	CCONJ
easat-9787	191	24	evaluates	evaluate	VERB
easat-9787	191	25	the	the	DET
easat-9787	191	26	impact	impact	NOUN
easat-9787	191	27	of	of	ADP
easat-9787	191	28	these	these	PRON
easat-9787	191	29	differentially	differentially	ADV
easat-9787	191	30	on	on	ADP
easat-9787	191	31	autocorrelation	autocorrelation	NOUN
easat-9787	191	32	detection	detection	NOUN
easat-9787	191	33	.	.	PUNCT
easat-9787	192	1	•	•	NUM
easat-9787	192	2	misspecification	misspecification	NOUN
easat-9787	192	3	sensitivity	sensitivity	NOUN
easat-9787	192	4	:	:	PUNCT
easat-9787	192	5	the	the	DET
easat-9787	192	6	analysis	analysis	NOUN
easat-9787	192	7	directly	directly	ADV
easat-9787	192	8	accounts	account	VERB
easat-9787	192	9	for	for	ADP
easat-9787	192	10	model	model	NOUN
easat-9787	192	11	misspecification	misspecification	NOUN
easat-9787	192	12	and	and	CCONJ
easat-9787	192	13	conditional	conditional	ADJ
easat-9787	192	14	heteroskedasticity	heteroskedasticity	NOUN
easat-9787	192	15	in	in	ADP
easat-9787	192	16	order	order	NOUN
easat-9787	192	17	to	to	PART
easat-9787	192	18	investigate	investigate	VERB
easat-9787	192	19	if	if	SCONJ
easat-9787	192	20	the	the	DET
easat-9787	192	21	interaction	interaction	NOUN
easat-9787	192	22	of	of	ADP
easat-9787	192	23	aggregation	aggregation	NOUN
easat-9787	192	24	and	and	CCONJ
easat-9787	192	25	misspecification	misspecification	NOUN
easat-9787	192	26	worsens	worsen	VERB
easat-9787	192	27	diagnostic	diagnostic	ADJ
easat-9787	192	28	erosion	erosion	NOUN
easat-9787	192	29	.	.	PUNCT
easat-9787	193	1	•	•	NUM
easat-9787	193	2	empirical	empirical	ADJ
easat-9787	193	3	grounding	grounding	NOUN
easat-9787	193	4	:	:	PUNCT
easat-9787	193	5	applying	apply	VERB
easat-9787	193	6	the	the	DET
easat-9787	193	7	model	model	NOUN
easat-9787	193	8	to	to	ADP
easat-9787	193	9	actual	actual	ADJ
easat-9787	193	10	financial	financial	ADJ
easat-9787	193	11	data	datum	NOUN
easat-9787	193	12	,	,	PUNCT
easat-9787	193	13	the	the	DET
easat-9787	193	14	study	study	NOUN
easat-9787	193	15	subjects	subject	VERB
easat-9787	193	16	simulation	simulation	NOUN
easat-9787	193	17	results	result	VERB
easat-9787	193	18	to	to	ADP
easat-9787	193	19	a	a	DET
easat-9787	193	20	real	real	ADJ
easat-9787	193	21	-	-	PUNCT
easat-9787	193	22	world	world	NOUN
easat-9787	193	23	,	,	PUNCT
easat-9787	193	24	high	high	ADJ
easat-9787	193	25	-	-	PUNCT
easat-9787	193	26	stakes	stake	NOUN
easat-9787	193	27	setting	set	VERB
easat-9787	193	28	.	.	PUNCT
easat-9787	194	1	exchange	exchange	NOUN
easat-9787	194	2	rates	rate	NOUN
easat-9787	194	3	provide	provide	VERB
easat-9787	194	4	a	a	DET
easat-9787	194	5	natural	natural	ADJ
easat-9787	194	6	field	field	NOUN
easat-9787	194	7	because	because	SCONJ
easat-9787	194	8	of	of	ADP
easat-9787	194	9	the	the	DET
easat-9787	194	10	dynamic	dynamic	ADJ
easat-9787	194	11	and	and	CCONJ
easat-9787	194	12	high	high	ADJ
easat-9787	194	13	-	-	PUNCT
easat-9787	194	14	frequency	frequency	NOUN
easat-9787	194	15	nature	nature	NOUN
easat-9787	194	16	of	of	ADP
easat-9787	194	17	their	their	PRON
easat-9787	194	18	behavior	behavior	NOUN
easat-9787	194	19	.	.	PUNCT
easat-9787	195	1	1	1	NUM
easat-9787	195	2	the	the	DET
easat-9787	195	3	following	follow	VERB
easat-9787	195	4	steps	step	NOUN
easat-9787	195	5	are	be	AUX
easat-9787	195	6	followed	follow	VERB
easat-9787	195	7	:	:	PUNCT
easat-9787	195	8	(	(	PUNCT
easat-9787	195	9	1	1	X
easat-9787	195	10	)	)	PUNCT
easat-9787	195	11	data	datum	NOUN
easat-9787	195	12	transformation	transformation	NOUN
easat-9787	195	13	:	:	PUNCT
easat-9787	195	14	log	log	VERB
easat-9787	195	15	differences	difference	NOUN
easat-9787	195	16	(	(	PUNCT
easat-9787	195	17	δlogyt	δlogyt	NOUN
easat-9787	195	18	)	)	PUNCT
easat-9787	195	19	are	be	AUX
easat-9787	195	20	utilized	utilize	VERB
easat-9787	195	21	to	to	PART
easat-9787	195	22	eliminate	eliminate	VERB
easat-9787	195	23	unit	unit	NOUN
easat-9787	195	24	roots	root	NOUN
easat-9787	195	25	and	and	CCONJ
easat-9787	195	26	focus	focus	VERB
easat-9787	195	27	on	on	ADP
easat-9787	195	28	stationary	stationary	ADJ
easat-9787	195	29	dynamics	dynamic	NOUN
easat-9787	195	30	.	.	PUNCT
easat-9787	196	1	(	(	PUNCT
easat-9787	196	2	2	2	X
easat-9787	196	3	)	)	PUNCT
easat-9787	196	4	estimation	estimation	NOUN
easat-9787	196	5	of	of	ADP
easat-9787	196	6	the	the	DET
easat-9787	196	7	model	model	NOUN
easat-9787	196	8	:	:	PUNCT
easat-9787	196	9	ols	ol	NOUN
easat-9787	196	10	is	be	AUX
easat-9787	196	11	used	use	VERB
easat-9787	196	12	to	to	PART
easat-9787	196	13	fit	fit	VERB
easat-9787	196	14	simple	simple	ADJ
easat-9787	196	15	autoregressive	autoregressive	ADJ
easat-9787	196	16	models	model	NOUN
easat-9787	196	17	of	of	ADP
easat-9787	196	18	each	each	DET
easat-9787	196	19	frequency	frequency	NOUN
easat-9787	196	20	level	level	NOUN
easat-9787	196	21	.	.	PUNCT
easat-9787	197	1	(	(	PUNCT
easat-9787	197	2	3	3	X
easat-9787	197	3	)	)	PUNCT
easat-9787	197	4	autocorrelation	autocorrelation	NOUN
easat-9787	197	5	tests	test	NOUN
easat-9787	197	6	:	:	PUNCT
easat-9787	197	7	for	for	ADP
easat-9787	197	8	each	each	DET
easat-9787	197	9	model	model	NOUN
easat-9787	197	10	,	,	PUNCT
easat-9787	197	11	the	the	DET
easat-9787	197	12	dw	dw	PROPN
easat-9787	197	13	statistic	statistic	NOUN
easat-9787	197	14	is	be	AUX
easat-9787	197	15	computed	compute	VERB
easat-9787	197	16	and	and	CCONJ
easat-9787	197	17	compared	compare	VERB
easat-9787	197	18	across	across	ADP
easat-9787	197	19	aggregation	aggregation	NOUN
easat-9787	197	20	levels	level	NOUN
easat-9787	197	21	.	.	PUNCT
easat-9787	198	1	(	(	PUNCT
easat-9787	198	2	4	4	X
easat-9787	198	3	)	)	PUNCT
easat-9787	198	4	validation	validation	NOUN
easat-9787	198	5	diagnostics	diagnostic	NOUN
easat-9787	198	6	:	:	PUNCT
easat-9787	198	7	bg	bg	PROPN
easat-9787	198	8	and	and	CCONJ
easat-9787	198	9	ljung	ljung	ADJ
easat-9787	198	10	-	-	PUNCT
easat-9787	198	11	box	box	NOUN
easat-9787	198	12	tests	test	NOUN
easat-9787	198	13	are	be	AUX
easat-9787	198	14	employed	employ	VERB
easat-9787	198	15	for	for	ADP
easat-9787	198	16	robustness	robustness	NOUN
easat-9787	198	17	.	.	PUNCT
easat-9787	199	1	https://fred.stlouisfed.org/	https://fred.stlouisfed.org/	PROPN
easat-9787	199	2	233	233	NUM
easat-9787	199	3	edelweiss	edelweiss	PROPN
easat-9787	199	4	applied	apply	VERB
easat-9787	199	5	science	science	NOUN
easat-9787	199	6	and	and	CCONJ
easat-9787	199	7	technology	technology	NOUN
easat-9787	199	8	issn	issn	PROPN
easat-9787	199	9	:	:	PUNCT
easat-9787	199	10	2576	2576	NUM
easat-9787	199	11	-	-	SYM
easat-9787	199	12	8484	8484	NUM
easat-9787	199	13	vol	vol	NOUN
easat-9787	199	14	.	.	PROPN
easat-9787	200	1	9	9	NUM
easat-9787	200	2	,	,	PUNCT
easat-9787	200	3	no	no	INTJ
easat-9787	200	4	.	.	NOUN
easat-9787	200	5	9	9	NUM
easat-9787	200	6	:	:	SYM
easat-9787	200	7	226	226	NUM
easat-9787	200	8	-	-	SYM
easat-9787	200	9	244	244	NUM
easat-9787	200	10	,	,	PUNCT
easat-9787	200	11	2025	2025	NUM
easat-9787	200	12	doi	doi	NOUN
easat-9787	200	13	:	:	PUNCT
easat-9787	200	14	10.55214/2576	10.55214/2576	NUM
easat-9787	200	15	-	-	PUNCT
easat-9787	200	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	200	17	©	©	PROPN
easat-9787	200	18	2025	2025	NUM
easat-9787	200	19	by	by	ADP
easat-9787	200	20	the	the	DET
easat-9787	200	21	author	author	NOUN
easat-9787	200	22	;	;	PUNCT
easat-9787	200	23	licensee	licensee	PROPN
easat-9787	200	24	learning	learning	NOUN
easat-9787	200	25	gate	gate	VERB
easat-9787	200	26	the	the	DET
easat-9787	200	27	complementary	complementary	ADJ
easat-9787	200	28	strategy	strategy	NOUN
easat-9787	200	29	of	of	ADP
easat-9787	200	30	simulation	simulation	NOUN
easat-9787	200	31	and	and	CCONJ
easat-9787	200	32	empirical	empirical	ADJ
easat-9787	200	33	investigation	investigation	NOUN
easat-9787	200	34	offers	offer	VERB
easat-9787	200	35	a	a	DET
easat-9787	200	36	robust	robust	ADJ
easat-9787	200	37	methodology	methodology	NOUN
easat-9787	200	38	for	for	ADP
easat-9787	200	39	the	the	DET
easat-9787	200	40	test	test	NOUN
easat-9787	200	41	of	of	ADP
easat-9787	200	42	how	how	SCONJ
easat-9787	200	43	much	much	ADJ
easat-9787	200	44	power	power	NOUN
easat-9787	200	45	is	be	AUX
easat-9787	200	46	lost	lose	VERB
easat-9787	200	47	from	from	ADP
easat-9787	200	48	the	the	DET
easat-9787	200	49	dw	dw	PROPN
easat-9787	200	50	test	test	NOUN
easat-9787	200	51	because	because	SCONJ
easat-9787	200	52	of	of	ADP
easat-9787	200	53	temporal	temporal	ADJ
easat-9787	200	54	aggregation	aggregation	NOUN
easat-9787	200	55	.	.	PUNCT
easat-9787	201	1	the	the	DET
easat-9787	201	2	twofaceted	twofacete	VERB
easat-9787	201	3	approach	approach	NOUN
easat-9787	201	4	also	also	ADV
easat-9787	201	5	provides	provide	VERB
easat-9787	201	6	insightful	insightful	ADJ
easat-9787	201	7	information	information	NOUN
easat-9787	201	8	on	on	ADP
easat-9787	201	9	the	the	DET
easat-9787	201	10	robustness	robustness	NOUN
easat-9787	201	11	of	of	ADP
easat-9787	201	12	conventional	conventional	ADJ
easat-9787	201	13	autocorrelation	autocorrelation	NOUN
easat-9787	201	14	diagnostics	diagnostic	NOUN
easat-9787	201	15	under	under	ADP
easat-9787	201	16	real	real	ADJ
easat-9787	201	17	data	datum	NOUN
easat-9787	201	18	constraints	constraint	NOUN
easat-9787	201	19	.	.	PUNCT
easat-9787	202	1	4	4	X
easat-9787	202	2	.	.	X
easat-9787	202	3	simulation	simulation	NOUN
easat-9787	202	4	results	result	VERB
easat-9787	202	5	this	this	DET
easat-9787	202	6	section	section	NOUN
easat-9787	202	7	presents	present	VERB
easat-9787	202	8	the	the	DET
easat-9787	202	9	results	result	NOUN
easat-9787	202	10	of	of	ADP
easat-9787	202	11	monte	monte	PROPN
easat-9787	202	12	carlo	carlo	PROPN
easat-9787	202	13	experiments	experiment	NOUN
easat-9787	202	14	designed	design	VERB
easat-9787	202	15	to	to	PART
easat-9787	202	16	determine	determine	VERB
easat-9787	202	17	the	the	DET
easat-9787	202	18	effects	effect	NOUN
easat-9787	202	19	of	of	ADP
easat-9787	202	20	temporal	temporal	ADJ
easat-9787	202	21	aggregation	aggregation	NOUN
easat-9787	202	22	on	on	ADP
easat-9787	202	23	the	the	DET
easat-9787	202	24	empirical	empirical	ADJ
easat-9787	202	25	power	power	NOUN
easat-9787	202	26	of	of	ADP
easat-9787	202	27	the	the	DET
easat-9787	202	28	durbin	durbin	NOUN
easat-9787	202	29	-	-	PUNCT
easat-9787	202	30	watson	watson	NOUN
easat-9787	202	31	(	(	PUNCT
easat-9787	202	32	dw	dw	NOUN
easat-9787	202	33	)	)	PUNCT
easat-9787	202	34	test	test	NOUN
easat-9787	202	35	.	.	PUNCT
easat-9787	203	1	the	the	DET
easat-9787	203	2	focus	focus	NOUN
easat-9787	203	3	is	be	AUX
easat-9787	203	4	on	on	ADP
easat-9787	203	5	the	the	DET
easat-9787	203	6	extent	extent	NOUN
easat-9787	203	7	to	to	PART
easat-9787	203	8	which	which	PRON
easat-9787	203	9	smoothing	smooth	VERB
easat-9787	203	10	of	of	ADP
easat-9787	203	11	autocorrelation	autocorrelation	NOUN
easat-9787	203	12	signals	signal	NOUN
easat-9787	203	13	takes	take	VERB
easat-9787	203	14	place	place	NOUN
easat-9787	203	15	and	and	CCONJ
easat-9787	203	16	reduces	reduce	VERB
easat-9787	203	17	first	first	ADJ
easat-9787	203	18	-	-	PUNCT
easat-9787	203	19	order	order	NOUN
easat-9787	203	20	serial	serial	ADJ
easat-9787	203	21	correlation	correlation	NOUN
easat-9787	203	22	detection	detection	NOUN
easat-9787	203	23	under	under	ADP
easat-9787	203	24	controlled	control	VERB
easat-9787	203	25	conditions	condition	NOUN
easat-9787	203	26	.	.	PUNCT
easat-9787	204	1	the	the	DET
easat-9787	204	2	simulations	simulation	NOUN
easat-9787	204	3	span	span	VERB
easat-9787	204	4	a	a	DET
easat-9787	204	5	range	range	NOUN
easat-9787	204	6	of	of	ADP
easat-9787	204	7	data	data	NOUN
easat-9787	204	8	-	-	PUNCT
easat-9787	204	9	generating	generate	VERB
easat-9787	204	10	processes	process	NOUN
easat-9787	204	11	(	(	PUNCT
easat-9787	204	12	dgps	dgps	PROPN
easat-9787	204	13	)	)	PUNCT
easat-9787	204	14	,	,	PUNCT
easat-9787	204	15	aggregation	aggregation	NOUN
easat-9787	204	16	schemes	scheme	NOUN
easat-9787	204	17	,	,	PUNCT
easat-9787	204	18	and	and	CCONJ
easat-9787	204	19	sample	sample	NOUN
easat-9787	204	20	sizes	size	NOUN
easat-9787	204	21	.	.	PUNCT
easat-9787	205	1	the	the	DET
easat-9787	205	2	simulations	simulation	NOUN
easat-9787	205	3	were	be	AUX
easat-9787	205	4	conducted	conduct	VERB
easat-9787	205	5	for	for	ADP
easat-9787	205	6	sample	sample	NOUN
easat-9787	205	7	sizes	size	NOUN
easat-9787	205	8	.	.	PUNCT
easat-9787	206	1	for	for	ADP
easat-9787	206	2	each	each	DET
easat-9787	206	3	case	case	NOUN
easat-9787	206	4	,	,	PUNCT
easat-9787	206	5	the	the	DET
easat-9787	206	6	dw	dw	PROPN
easat-9787	206	7	test	test	NOUN
easat-9787	206	8	was	be	AUX
easat-9787	206	9	applied	apply	VERB
easat-9787	206	10	to	to	ADP
easat-9787	206	11	the	the	DET
easat-9787	206	12	original	original	ADJ
easat-9787	206	13	(	(	PUNCT
easat-9787	206	14	daily	daily	ADJ
easat-9787	206	15	)	)	PUNCT
easat-9787	206	16	data	datum	NOUN
easat-9787	206	17	and	and	CCONJ
easat-9787	206	18	aggregated	aggregate	VERB
easat-9787	206	19	versions	version	NOUN
easat-9787	206	20	under	under	ADP
easat-9787	206	21	both	both	DET
easat-9787	206	22	last	last	ADJ
easat-9787	206	23	observation	observation	NOUN
easat-9787	206	24	sampling	sample	VERB
easat-9787	206	25	(	(	PUNCT
easat-9787	206	26	los	los	PROPN
easat-9787	206	27	)	)	PUNCT
easat-9787	206	28	and	and	CCONJ
easat-9787	206	29	arithmetic	arithmetic	ADJ
easat-9787	206	30	averaging	averaging	NOUN
easat-9787	206	31	(	(	PUNCT
easat-9787	206	32	avg	avg	PROPN
easat-9787	206	33	)	)	PUNCT
easat-9787	206	34	at	at	ADP
easat-9787	206	35	weekly	weekly	ADJ
easat-9787	206	36	(	(	PUNCT
easat-9787	206	37	k=5	k=5	X
easat-9787	206	38	)	)	PUNCT
easat-9787	206	39	and	and	CCONJ
easat-9787	206	40	monthly	monthly	ADJ
easat-9787	206	41	(	(	PUNCT
easat-9787	206	42	k=20	k=20	NOUN
easat-9787	206	43	)	)	PUNCT
easat-9787	206	44	frequencies	frequency	NOUN
easat-9787	206	45	.	.	PUNCT
easat-9787	207	1	table	table	NOUN
easat-9787	207	2	1	1	NUM
easat-9787	207	3	illustrates	illustrate	VERB
easat-9787	207	4	the	the	DET
easat-9787	207	5	degradation	degradation	NOUN
easat-9787	207	6	in	in	ADP
easat-9787	207	7	the	the	DET
easat-9787	207	8	durbin	durbin	NOUN
easat-9787	207	9	-	-	PUNCT
easat-9787	207	10	watson	watson	NOUN
easat-9787	207	11	(	(	PUNCT
easat-9787	207	12	dw	dw	NOUN
easat-9787	207	13	)	)	PUNCT
easat-9787	207	14	test	test	NOUN
easat-9787	207	15	’s	’s	PART
easat-9787	207	16	power	power	NOUN
easat-9787	207	17	to	to	PART
easat-9787	207	18	detect	detect	VERB
easat-9787	207	19	moderate	moderate	ADJ
easat-9787	207	20	first	first	ADJ
easat-9787	207	21	-	-	PUNCT
easat-9787	207	22	order	order	NOUN
easat-9787	207	23	autocorrelation	autocorrelation	NOUN
easat-9787	207	24	as	as	ADP
easat-9787	207	25	temporal	temporal	ADJ
easat-9787	207	26	aggregation	aggregation	NOUN
easat-9787	207	27	and	and	CCONJ
easat-9787	207	28	sample	sample	NOUN
easat-9787	207	29	size	size	NOUN
easat-9787	207	30	vary	vary	VERB
easat-9787	207	31	.	.	PUNCT
easat-9787	208	1	table	table	NOUN
easat-9787	208	2	1	1	NUM
easat-9787	208	3	.	.	PUNCT
easat-9787	209	1	power	power	NOUN
easat-9787	209	2	of	of	ADP
easat-9787	209	3	the	the	DET
easat-9787	209	4	durbin	durbin	ADJ
easat-9787	209	5	-	-	PUNCT
easat-9787	209	6	watson	watson	NOUN
easat-9787	209	7	test	test	NOUN
easat-9787	209	8	for	for	ADP
easat-9787	209	9	ar	ar	PROPN
easat-9787	209	10	(	(	PUNCT
easat-9787	209	11	1	1	NUM
easat-9787	209	12	)	)	PUNCT
easat-9787	209	13	process	process	NOUN
easat-9787	209	14	under	under	ADP
easat-9787	209	15	different	different	ADJ
easat-9787	209	16	aggregation	aggregation	NOUN
easat-9787	209	17	levels	level	NOUN
easat-9787	209	18	.	.	PUNCT
easat-9787	210	1	t	t	PROPN
easat-9787	210	2	rho	rho	PROPN
easat-9787	210	3	(	(	PUNCT
easat-9787	210	4	ρ	ρ	NOUN
easat-9787	210	5	)	)	PUNCT
easat-9787	210	6	aggregation	aggregation	NOUN
easat-9787	210	7	method	method	NOUN
easat-9787	210	8	power	power	NOUN
easat-9787	210	9	250	250	NUM
easat-9787	210	10	0.2	0.2	NUM
easat-9787	210	11	none	none	NOUN
easat-9787	210	12	dw	dw	NOUN
easat-9787	210	13	0.44	0.44	NUM
easat-9787	210	14	250	250	NUM
easat-9787	210	15	0.2	0.2	NUM
easat-9787	210	16	weekly	weekly	ADJ
easat-9787	210	17	(	(	PUNCT
easat-9787	210	18	los	los	PROPN
easat-9787	210	19	)	)	PUNCT
easat-9787	210	20	dw	dw	NOUN
easat-9787	210	21	0.26	0.26	NUM
easat-9787	210	22	250	250	NUM
easat-9787	210	23	0.2	0.2	NUM
easat-9787	210	24	monthly	monthly	ADJ
easat-9787	210	25	(	(	PUNCT
easat-9787	210	26	avg	avg	NOUN
easat-9787	210	27	)	)	PUNCT
easat-9787	210	28	dw	dw	NOUN
easat-9787	210	29	0.15	0.15	NUM
easat-9787	210	30	500	500	NUM
easat-9787	210	31	0.2	0.2	NUM
easat-9787	210	32	none	none	NOUN
easat-9787	210	33	dw	dw	NOUN
easat-9787	210	34	0.58	0.58	NUM
easat-9787	210	35	500	500	NUM
easat-9787	210	36	0.2	0.2	NUM
easat-9787	210	37	weekly	weekly	ADJ
easat-9787	210	38	(	(	PUNCT
easat-9787	210	39	los	los	PROPN
easat-9787	210	40	)	)	PUNCT
easat-9787	210	41	dw	dw	NOUN
easat-9787	210	42	0.33	0.33	NUM
easat-9787	210	43	500	500	NUM
easat-9787	210	44	0.2	0.2	NUM
easat-9787	210	45	monthly	monthly	ADJ
easat-9787	210	46	(	(	PUNCT
easat-9787	210	47	avg	avg	NOUN
easat-9787	210	48	)	)	PUNCT
easat-9787	210	49	dw	dw	NOUN
easat-9787	210	50	0.21	0.21	NUM
easat-9787	210	51	1000	1000	NUM
easat-9787	210	52	0.2	0.2	NUM
easat-9787	210	53	none	none	NOUN
easat-9787	210	54	dw	dw	PROPN
easat-9787	210	55	0.73	0.73	NUM
easat-9787	210	56	1000	1000	NUM
easat-9787	210	57	0.2	0.2	NUM
easat-9787	210	58	weekly	weekly	NOUN
easat-9787	210	59	(	(	PUNCT
easat-9787	210	60	los	los	PROPN
easat-9787	210	61	)	)	PUNCT
easat-9787	210	62	dw	dw	PROPN
easat-9787	210	63	0.41	0.41	NUM
easat-9787	210	64	1000	1000	NUM
easat-9787	210	65	0.2	0.2	NUM
easat-9787	210	66	monthly	monthly	ADJ
easat-9787	210	67	(	(	PUNCT
easat-9787	210	68	avg	avg	NOUN
easat-9787	210	69	)	)	PUNCT
easat-9787	210	70	dw	dw	NOUN
easat-9787	210	71	0.28	0.28	NUM
easat-9787	210	72	note	note	NOUN
easat-9787	210	73	:	:	PUNCT
easat-9787	210	74	all	all	DET
easat-9787	210	75	values	value	NOUN
easat-9787	210	76	are	be	AUX
easat-9787	210	77	based	base	VERB
easat-9787	210	78	on	on	ADP
easat-9787	210	79	1,000	1,000	NUM
easat-9787	210	80	monte	monte	PROPN
easat-9787	210	81	carlo	carlo	NOUN
easat-9787	210	82	replications	replication	NOUN
easat-9787	210	83	.	.	PUNCT
easat-9787	211	1	without	without	ADP
easat-9787	211	2	aggregation	aggregation	NOUN
easat-9787	211	3	,	,	PUNCT
easat-9787	211	4	the	the	DET
easat-9787	211	5	power	power	NOUN
easat-9787	211	6	for	for	ADP
easat-9787	211	7	the	the	DET
easat-9787	211	8	test	test	NOUN
easat-9787	211	9	rises	rise	VERB
easat-9787	211	10	with	with	ADP
easat-9787	211	11	sample	sample	NOUN
easat-9787	211	12	size	size	NOUN
easat-9787	211	13	from	from	ADP
easat-9787	211	14	0.44	0.44	NUM
easat-9787	211	15	to	to	ADP
easat-9787	211	16	0.58	0.58	NUM
easat-9787	211	17	to	to	ADP
easat-9787	211	18	0.73	0.73	NUM
easat-9787	211	19	and	and	CCONJ
easat-9787	211	20	is	be	AUX
easat-9787	211	21	more	more	ADV
easat-9787	211	22	sensitive	sensitive	ADJ
easat-9787	211	23	to	to	ADP
easat-9787	211	24	autocorrelation	autocorrelation	NOUN
easat-9787	211	25	with	with	ADP
easat-9787	211	26	the	the	DET
easat-9787	211	27	larger	large	ADJ
easat-9787	211	28	sample	sample	NOUN
easat-9787	211	29	size	size	NOUN
easat-9787	211	30	.	.	PUNCT
easat-9787	212	1	with	with	ADP
easat-9787	212	2	the	the	DET
easat-9787	212	3	addition	addition	NOUN
easat-9787	212	4	of	of	ADP
easat-9787	212	5	temporal	temporal	ADJ
easat-9787	212	6	aggregation	aggregation	NOUN
easat-9787	212	7	,	,	PUNCT
easat-9787	212	8	especially	especially	ADV
easat-9787	212	9	by	by	ADP
easat-9787	212	10	arithmetic	arithmetic	ADJ
easat-9787	212	11	averages	average	NOUN
easat-9787	212	12	,	,	PUNCT
easat-9787	212	13	the	the	DET
easat-9787	212	14	sensitivity	sensitivity	NOUN
easat-9787	212	15	of	of	ADP
easat-9787	212	16	the	the	DET
easat-9787	212	17	dw	dw	PROPN
easat-9787	212	18	test	test	NOUN
easat-9787	212	19	to	to	ADP
easat-9787	212	20	detecting	detect	VERB
easat-9787	212	21	autocorrelation	autocorrelation	NOUN
easat-9787	212	22	diminishes	diminish	VERB
easat-9787	212	23	considerably	considerably	ADV
easat-9787	212	24	.	.	PUNCT
easat-9787	213	1	for	for	ADP
easat-9787	213	2	instance	instance	NOUN
easat-9787	213	3	,	,	PUNCT
easat-9787	213	4	at	at	ADP
easat-9787	213	5	power	power	NOUN
easat-9787	213	6	falls	fall	VERB
easat-9787	213	7	from	from	ADP
easat-9787	213	8	0.58	0.58	NUM
easat-9787	213	9	with	with	ADP
easat-9787	213	10	unaggregated	unaggregated	ADJ
easat-9787	213	11	data	datum	NOUN
easat-9787	213	12	to	to	ADP
easat-9787	213	13	0.33	0.33	NUM
easat-9787	213	14	under	under	ADP
easat-9787	213	15	weekly	weekly	ADJ
easat-9787	213	16	last	last	ADJ
easat-9787	213	17	observation	observation	NOUN
easat-9787	213	18	sampling	sample	VERB
easat-9787	213	19	(	(	PUNCT
easat-9787	213	20	los	los	PROPN
easat-9787	213	21	)	)	PUNCT
easat-9787	213	22	and	and	CCONJ
easat-9787	213	23	to	to	ADP
easat-9787	213	24	just	just	ADV
easat-9787	213	25	0.21	0.21	NUM
easat-9787	213	26	under	under	ADP
easat-9787	213	27	monthly	monthly	ADJ
easat-9787	213	28	averaging	averaging	NOUN
easat-9787	213	29	(	(	PUNCT
easat-9787	213	30	avg	avg	PROPN
easat-9787	213	31	)	)	PUNCT
easat-9787	213	32	.	.	PUNCT
easat-9787	214	1	this	this	DET
easat-9787	214	2	trend	trend	NOUN
easat-9787	214	3	is	be	AUX
easat-9787	214	4	consistent	consistent	ADJ
easat-9787	214	5	across	across	ADP
easat-9787	214	6	all	all	DET
easat-9787	214	7	sample	sample	NOUN
easat-9787	214	8	sizes	size	NOUN
easat-9787	214	9	.	.	PUNCT
easat-9787	215	1	the	the	DET
easat-9787	215	2	deterioration	deterioration	NOUN
easat-9787	215	3	in	in	ADP
easat-9787	215	4	power	power	NOUN
easat-9787	215	5	is	be	AUX
easat-9787	215	6	more	more	ADV
easat-9787	215	7	severe	severe	ADJ
easat-9787	215	8	under	under	ADP
easat-9787	215	9	avg	avg	NOUN
easat-9787	215	10	than	than	ADP
easat-9787	215	11	los	los	PROPN
easat-9787	215	12	,	,	PUNCT
easat-9787	215	13	confirming	confirm	VERB
easat-9787	215	14	that	that	SCONJ
easat-9787	215	15	averaging	averaging	NOUN
easat-9787	215	16	suppresses	suppress	VERB
easat-9787	215	17	short	short	ADJ
easat-9787	215	18	-	-	PUNCT
easat-9787	215	19	term	term	NOUN
easat-9787	215	20	dynamics	dynamic	NOUN
easat-9787	215	21	more	more	ADV
easat-9787	215	22	aggressively	aggressively	ADV
easat-9787	215	23	than	than	ADP
easat-9787	215	24	simple	simple	ADJ
easat-9787	215	25	sub	sub	ADJ
easat-9787	215	26	-	-	ADJ
easat-9787	215	27	sampling	sample	VERB
easat-9787	215	28	.	.	PUNCT
easat-9787	216	1	the	the	DET
easat-9787	216	2	findings	finding	NOUN
easat-9787	216	3	highlight	highlight	VERB
easat-9787	216	4	that	that	DET
easat-9787	216	5	aggregation	aggregation	NOUN
easat-9787	216	6	not	not	PART
easat-9787	216	7	just	just	ADV
easat-9787	216	8	reduces	reduce	VERB
easat-9787	216	9	the	the	DET
easat-9787	216	10	accuracy	accuracy	NOUN
easat-9787	216	11	of	of	ADP
easat-9787	216	12	the	the	DET
easat-9787	216	13	dw	dw	PROPN
easat-9787	216	14	test	test	NOUN
easat-9787	216	15	but	but	CCONJ
easat-9787	216	16	also	also	ADV
easat-9787	216	17	may	may	AUX
easat-9787	216	18	mask	mask	VERB
easat-9787	216	19	prevalent	prevalent	ADJ
easat-9787	216	20	autocorrelation	autocorrelation	NOUN
easat-9787	216	21	,	,	PUNCT
easat-9787	216	22	particularly	particularly	ADV
easat-9787	216	23	in	in	ADP
easat-9787	216	24	intermediate	intermediate	ADJ
easat-9787	216	25	cases	case	NOUN
easat-9787	216	26	.	.	PUNCT
easat-9787	217	1	therefore	therefore	ADV
easat-9787	217	2	,	,	PUNCT
easat-9787	217	3	applied	apply	VERB
easat-9787	217	4	researchers	researcher	NOUN
easat-9787	217	5	undertaking	undertake	VERB
easat-9787	217	6	studies	study	NOUN
easat-9787	217	7	with	with	ADP
easat-9787	217	8	lower	low	ADJ
easat-9787	217	9	-	-	PUNCT
easat-9787	217	10	frequency	frequency	NOUN
easat-9787	217	11	data	datum	NOUN
easat-9787	217	12	need	need	VERB
easat-9787	217	13	to	to	PART
easat-9787	217	14	be	be	AUX
easat-9787	217	15	cautious	cautious	ADJ
easat-9787	217	16	when	when	SCONJ
easat-9787	217	17	interpreting	interpret	VERB
easat-9787	217	18	dw	dw	NOUN
easat-9787	217	19	statistics	statistic	NOUN
easat-9787	217	20	and	and	CCONJ
easat-9787	217	21	even	even	ADV
easat-9787	217	22	employ	employ	VERB
easat-9787	217	23	more	more	ADV
easat-9787	217	24	powerful	powerful	ADJ
easat-9787	217	25	diagnostics	diagnostic	NOUN
easat-9787	217	26	if	if	SCONJ
easat-9787	217	27	there	there	PRON
easat-9787	217	28	is	be	VERB
easat-9787	217	29	aggregation	aggregation	NOUN
easat-9787	217	30	.	.	PUNCT
easat-9787	218	1	in	in	ADP
easat-9787	218	2	summary	summary	NOUN
easat-9787	218	3	,	,	PUNCT
easat-9787	218	4	table	table	NOUN
easat-9787	218	5	1	1	NUM
easat-9787	218	6	shows	show	VERB
easat-9787	218	7	a	a	DET
easat-9787	218	8	fundamental	fundamental	ADJ
easat-9787	218	9	flaw	flaw	NOUN
easat-9787	218	10	of	of	ADP
easat-9787	218	11	the	the	DET
easat-9787	218	12	dw	dw	PROPN
easat-9787	218	13	test	test	NOUN
easat-9787	218	14	:	:	PUNCT
easat-9787	218	15	its	its	PRON
easat-9787	218	16	sensitivity	sensitivity	NOUN
easat-9787	218	17	to	to	ADP
easat-9787	218	18	temporal	temporal	ADJ
easat-9787	218	19	smoothing	smoothing	NOUN
easat-9787	218	20	,	,	PUNCT
easat-9787	218	21	which	which	PRON
easat-9787	218	22	might	might	AUX
easat-9787	218	23	lead	lead	VERB
easat-9787	218	24	to	to	ADP
easat-9787	218	25	spurious	spurious	ADJ
easat-9787	218	26	inferences	inference	NOUN
easat-9787	218	27	about	about	ADP
easat-9787	218	28	serial	serial	ADJ
easat-9787	218	29	dependence	dependence	NOUN
easat-9787	218	30	in	in	ADP
easat-9787	218	31	aggregated	aggregate	VERB
easat-9787	218	32	time	time	NOUN
easat-9787	218	33	series	series	PROPN
easat-9787	218	34	.	.	PUNCT
easat-9787	219	1	the	the	DET
easat-9787	219	2	key	key	ADJ
easat-9787	219	3	findings	finding	NOUN
easat-9787	219	4	of	of	ADP
easat-9787	219	5	the	the	DET
easat-9787	219	6	analysis	analysis	NOUN
easat-9787	219	7	are	be	AUX
easat-9787	219	8	as	as	SCONJ
easat-9787	219	9	follows	follow	VERB
easat-9787	219	10	:	:	PUNCT
easat-9787	219	11	without	without	ADP
easat-9787	219	12	autocorrelation	autocorrelation	NOUN
easat-9787	219	13	,	,	PUNCT
easat-9787	219	14	the	the	DET
easat-9787	219	15	durbin	durbin	NOUN
easat-9787	219	16	-	-	PUNCT
easat-9787	219	17	watson	watson	NOUN
easat-9787	219	18	(	(	PUNCT
easat-9787	219	19	dw	dw	NOUN
easat-9787	219	20	)	)	PUNCT
easat-9787	219	21	test	test	NOUN
easat-9787	219	22	was	be	AUX
easat-9787	219	23	of	of	ADP
easat-9787	219	24	correct	correct	ADJ
easat-9787	219	25	size	size	NOUN
easat-9787	219	26	at	at	ADP
easat-9787	219	27	all	all	DET
easat-9787	219	28	sample	sample	NOUN
easat-9787	219	29	sizes	size	NOUN
easat-9787	219	30	and	and	CCONJ
easat-9787	219	31	degrees	degree	NOUN
easat-9787	219	32	of	of	ADP
easat-9787	219	33	aggregation	aggregation	NOUN
easat-9787	219	34	and	and	CCONJ
easat-9787	219	35	was	be	AUX
easat-9787	219	36	never	never	ADV
easat-9787	219	37	far	far	ADV
easat-9787	219	38	from	from	ADP
easat-9787	219	39	the	the	DET
easat-9787	219	40	nominal	nominal	ADJ
easat-9787	219	41	5	5	NUM
easat-9787	219	42	%	%	NOUN
easat-9787	219	43	significance	significance	NOUN
easat-9787	219	44	level	level	NOUN
easat-9787	219	45	.	.	PUNCT
easat-9787	220	1	although	although	SCONJ
easat-9787	220	2	small	small	ADJ
easat-9787	220	3	size	size	NOUN
easat-9787	220	4	distortions	distortion	NOUN
easat-9787	220	5	occurred	occur	VERB
easat-9787	220	6	with	with	ADP
easat-9787	220	7	aggregation	aggregation	NOUN
easat-9787	220	8	—	—	PUNCT
easat-9787	220	9	particularly	particularly	ADV
easat-9787	220	10	with	with	ADP
easat-9787	220	11	the	the	DET
easat-9787	220	12	averaging	averaging	NOUN
easat-9787	220	13	(	(	PUNCT
easat-9787	220	14	avg	avg	NOUN
easat-9787	220	15	)	)	PUNCT
easat-9787	220	16	method	method	NOUN
easat-9787	220	17	—	—	PUNCT
easat-9787	220	18	they	they	PRON
easat-9787	220	19	were	be	AUX
easat-9787	220	20	nevertheless	nevertheless	ADV
easat-9787	220	21	acceptable	acceptable	ADJ
easat-9787	220	22	.	.	PUNCT
easat-9787	221	1	for	for	ADP
easat-9787	221	2	moderate	moderate	ADJ
easat-9787	221	3	autocorrelation	autocorrelation	NOUN
easat-9787	221	4	,	,	PUNCT
easat-9787	221	5	the	the	DET
easat-9787	221	6	power	power	NOUN
easat-9787	221	7	of	of	ADP
easat-9787	221	8	the	the	DET
easat-9787	221	9	dw	dw	PROPN
easat-9787	221	10	test	test	NOUN
easat-9787	221	11	declined	decline	VERB
easat-9787	221	12	sharply	sharply	ADV
easat-9787	221	13	with	with	ADP
easat-9787	221	14	data	data	NOUN
easat-9787	221	15	aggregation	aggregation	NOUN
easat-9787	221	16	.	.	PUNCT
easat-9787	222	1	power	power	NOUN
easat-9787	222	2	dropped	drop	VERB
easat-9787	222	3	,	,	PUNCT
easat-9787	222	4	for	for	ADP
easat-9787	222	5	instance	instance	NOUN
easat-9787	222	6	,	,	PUNCT
easat-9787	222	7	from	from	ADP
easat-9787	222	8	0.58	0.58	NUM
easat-9787	222	9	at	at	ADP
easat-9787	222	10	the	the	DET
easat-9787	222	11	daily	daily	ADJ
easat-9787	222	12	frequency	frequency	NOUN
easat-9787	222	13	to	to	ADP
easat-9787	222	14	0.33	0.33	NUM
easat-9787	222	15	under	under	ADP
easat-9787	222	16	weekly	weekly	ADJ
easat-9787	222	17	last	last	ADJ
easat-9787	222	18	observation	observation	NOUN
easat-9787	222	19	sampling	sample	VERB
easat-9787	222	20	(	(	PUNCT
easat-9787	222	21	los	los	PROPN
easat-9787	222	22	)	)	PUNCT
easat-9787	222	23	and	and	CCONJ
easat-9787	222	24	to	to	ADP
easat-9787	222	25	0.21	0.21	NUM
easat-9787	222	26	under	under	ADP
easat-9787	222	27	monthly	monthly	ADJ
easat-9787	222	28	avg	avg	NOUN
easat-9787	222	29	.	.	PUNCT
easat-9787	223	1	with	with	ADP
easat-9787	223	2	high	high	ADJ
easat-9787	223	3	autocorrelation	autocorrelation	NOUN
easat-9787	223	4	,	,	PUNCT
easat-9787	223	5	the	the	DET
easat-9787	223	6	test	test	NOUN
easat-9787	223	7	had	have	VERB
easat-9787	223	8	high	high	ADJ
easat-9787	223	9	power	power	NOUN
easat-9787	223	10	(	(	PUNCT
easat-9787	223	11	>	>	NOUN
easat-9787	223	12	0.90	0.90	NUM
easat-9787	223	13	)	)	PUNCT
easat-9787	223	14	in	in	ADP
easat-9787	223	15	unaggregated	unaggregated	ADJ
easat-9787	223	16	data	datum	NOUN
easat-9787	223	17	,	,	PUNCT
easat-9787	223	18	but	but	CCONJ
easat-9787	223	19	this	this	PRON
easat-9787	223	20	also	also	ADV
easat-9787	223	21	dropped	drop	VERB
easat-9787	223	22	significantly	significantly	ADV
easat-9787	223	23	with	with	ADP
easat-9787	223	24	aggregation	aggregation	NOUN
easat-9787	223	25	,	,	PUNCT
easat-9787	223	26	to	to	ADP
easat-9787	223	27	0.57	0.57	NUM
easat-9787	223	28	under	under	ADP
easat-9787	223	29	monthly	monthly	ADJ
easat-9787	223	30	avg	avg	NOUN
easat-9787	223	31	.	.	PUNCT
easat-9787	224	1	generally	generally	ADV
easat-9787	224	2	speaking	speak	VERB
easat-9787	224	3	,	,	PUNCT
easat-9787	224	4	234	234	NUM
easat-9787	224	5	edelweiss	edelweiss	NOUN
easat-9787	224	6	applied	apply	VERB
easat-9787	224	7	science	science	NOUN
easat-9787	224	8	and	and	CCONJ
easat-9787	224	9	technology	technology	NOUN
easat-9787	224	10	issn	issn	PROPN
easat-9787	224	11	:	:	PUNCT
easat-9787	224	12	2576	2576	NUM
easat-9787	224	13	-	-	SYM
easat-9787	224	14	8484	8484	NUM
easat-9787	224	15	vol	vol	NOUN
easat-9787	224	16	.	.	PROPN
easat-9787	225	1	9	9	NUM
easat-9787	225	2	,	,	PUNCT
easat-9787	225	3	no	no	INTJ
easat-9787	225	4	.	.	NOUN
easat-9787	225	5	9	9	NUM
easat-9787	225	6	:	:	SYM
easat-9787	225	7	226	226	NUM
easat-9787	225	8	-	-	SYM
easat-9787	225	9	244	244	NUM
easat-9787	225	10	,	,	PUNCT
easat-9787	225	11	2025	2025	NUM
easat-9787	225	12	doi	doi	NOUN
easat-9787	225	13	:	:	PUNCT
easat-9787	225	14	10.55214/2576	10.55214/2576	NUM
easat-9787	225	15	-	-	PUNCT
easat-9787	225	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	225	17	©	©	PROPN
easat-9787	225	18	2025	2025	NUM
easat-9787	225	19	by	by	ADP
easat-9787	225	20	the	the	DET
easat-9787	225	21	author	author	NOUN
easat-9787	225	22	;	;	PUNCT
easat-9787	225	23	licensee	licensee	NOUN
easat-9787	225	24	learning	learn	VERB
easat-9787	225	25	gate	gate	NOUN
easat-9787	225	26	averaging	averaging	NOUN
easat-9787	225	27	reduced	reduce	VERB
easat-9787	225	28	the	the	DET
easat-9787	225	29	test	test	NOUN
easat-9787	225	30	’s	’s	PART
easat-9787	225	31	power	power	NOUN
easat-9787	225	32	more	more	ADV
easat-9787	225	33	than	than	ADP
easat-9787	225	34	los	los	PROPN
easat-9787	225	35	,	,	PUNCT
easat-9787	225	36	as	as	SCONJ
easat-9787	225	37	one	one	PRON
easat-9787	225	38	would	would	AUX
easat-9787	225	39	have	have	AUX
easat-9787	225	40	predicted	predict	VERB
easat-9787	225	41	theoretically	theoretically	ADV
easat-9787	225	42	that	that	SCONJ
easat-9787	225	43	highfrequency	highfrequency	NOUN
easat-9787	225	44	dynamics	dynamic	NOUN
easat-9787	225	45	are	be	AUX
easat-9787	225	46	dampened	dampen	VERB
easat-9787	225	47	more	more	ADJ
easat-9787	225	48	than	than	ADP
easat-9787	225	49	sub	sub	ADJ
easat-9787	225	50	-	-	ADJ
easat-9787	225	51	sampling	sample	VERB
easat-9787	225	52	.	.	PUNCT
easat-9787	226	1	table	table	NOUN
easat-9787	226	2	2	2	NUM
easat-9787	226	3	provides	provide	VERB
easat-9787	226	4	the	the	DET
easat-9787	226	5	empirical	empirical	ADJ
easat-9787	226	6	power	power	NOUN
easat-9787	226	7	of	of	ADP
easat-9787	226	8	the	the	DET
easat-9787	226	9	durbin	durbin	NOUN
easat-9787	226	10	-	-	PUNCT
easat-9787	226	11	watson	watson	NOUN
easat-9787	226	12	(	(	PUNCT
easat-9787	226	13	dw	dw	NOUN
easat-9787	226	14	)	)	PUNCT
easat-9787	226	15	test	test	NOUN
easat-9787	226	16	at	at	ADP
easat-9787	226	17	high	high	ADJ
easat-9787	226	18	autocorrelation	autocorrelation	NOUN
easat-9787	226	19	for	for	ADP
easat-9787	226	20	different	different	ADJ
easat-9787	226	21	sample	sample	NOUN
easat-9787	226	22	sizes	size	NOUN
easat-9787	226	23	and	and	CCONJ
easat-9787	226	24	aggregation	aggregation	NOUN
easat-9787	226	25	levels	level	NOUN
easat-9787	226	26	.	.	PUNCT
easat-9787	227	1	table	table	NOUN
easat-9787	227	2	2	2	NUM
easat-9787	227	3	.	.	PUNCT
easat-9787	227	4	power	power	NOUN
easat-9787	227	5	of	of	ADP
easat-9787	227	6	the	the	DET
easat-9787	227	7	durbin	durbin	ADJ
easat-9787	227	8	-	-	PUNCT
easat-9787	227	9	watson	watson	NOUN
easat-9787	227	10	test	test	NOUN
easat-9787	227	11	for	for	ADP
easat-9787	227	12	ar	ar	PROPN
easat-9787	227	13	(	(	PUNCT
easat-9787	227	14	1	1	NUM
easat-9787	227	15	)	)	PUNCT
easat-9787	227	16	with	with	ADP
easat-9787	227	17	rho	rho	ADJ
easat-9787	227	18	(	(	PUNCT
easat-9787	227	19	ρ	ρ	NOUN
easat-9787	227	20	)	)	PUNCT
easat-9787	227	21	=	=	PUNCT
easat-9787	228	1	0.8	0.8	NUM
easat-9787	228	2	.	.	PUNCT
easat-9787	229	1	t	t	PROPN
easat-9787	229	2	aggregation	aggregation	NOUN
easat-9787	229	3	method	method	NOUN
easat-9787	229	4	power	power	NOUN
easat-9787	229	5	250	250	NUM
easat-9787	229	6	none	none	NOUN
easat-9787	229	7	dw	dw	NOUN
easat-9787	229	8	0.87	0.87	NUM
easat-9787	229	9	250	250	NUM
easat-9787	229	10	weekly	weekly	ADJ
easat-9787	229	11	(	(	PUNCT
easat-9787	229	12	los	los	PROPN
easat-9787	229	13	)	)	PUNCT
easat-9787	229	14	dw	dw	NOUN
easat-9787	229	15	0.65	0.65	NUM
easat-9787	229	16	250	250	NUM
easat-9787	229	17	monthly	monthly	ADJ
easat-9787	229	18	(	(	PUNCT
easat-9787	229	19	avg	avg	NOUN
easat-9787	229	20	)	)	PUNCT
easat-9787	229	21	dw	dw	NOUN
easat-9787	229	22	0.44	0.44	NUM
easat-9787	229	23	500	500	NUM
easat-9787	230	1	none	none	NOUN
easat-9787	230	2	dw	dw	PROPN
easat-9787	230	3	0.94	0.94	NUM
easat-9787	230	4	500	500	NUM
easat-9787	230	5	weekly	weekly	ADJ
easat-9787	230	6	(	(	PUNCT
easat-9787	230	7	los	los	PROPN
easat-9787	230	8	)	)	PUNCT
easat-9787	230	9	dw	dw	NOUN
easat-9787	230	10	0.73	0.73	NUM
easat-9787	230	11	500	500	NUM
easat-9787	230	12	monthly	monthly	ADJ
easat-9787	230	13	(	(	PUNCT
easat-9787	230	14	avg	avg	NOUN
easat-9787	230	15	)	)	PUNCT
easat-9787	230	16	dw	dw	PROPN
easat-9787	230	17	0.57	0.57	NUM
easat-9787	230	18	1000	1000	NUM
easat-9787	231	1	none	none	NOUN
easat-9787	231	2	dw	dw	NOUN
easat-9787	231	3	0.98	0.98	NUM
easat-9787	231	4	1000	1000	NUM
easat-9787	231	5	weekly	weekly	NOUN
easat-9787	231	6	(	(	PUNCT
easat-9787	231	7	los	los	PROPN
easat-9787	231	8	)	)	PUNCT
easat-9787	231	9	dw	dw	NOUN
easat-9787	231	10	0.81	0.81	NUM
easat-9787	231	11	1000	1000	NUM
easat-9787	231	12	monthly	monthly	ADJ
easat-9787	231	13	(	(	PUNCT
easat-9787	231	14	avg	avg	NOUN
easat-9787	231	15	)	)	PUNCT
easat-9787	231	16	dw	dw	PROPN
easat-9787	231	17	0.65	0.65	NUM
easat-9787	231	18	note	note	NOUN
easat-9787	231	19	:	:	PUNCT
easat-9787	231	20	all	all	DET
easat-9787	231	21	values	value	NOUN
easat-9787	231	22	are	be	AUX
easat-9787	231	23	based	base	VERB
easat-9787	231	24	on	on	ADP
easat-9787	231	25	1,000	1,000	NUM
easat-9787	231	26	monte	monte	PROPN
easat-9787	231	27	carlo	carlo	NOUN
easat-9787	231	28	replications	replication	NOUN
easat-9787	231	29	.	.	PUNCT
easat-9787	232	1	the	the	DET
easat-9787	232	2	dw	dw	PROPN
easat-9787	232	3	behaves	behave	VERB
easat-9787	232	4	well	well	ADV
easat-9787	232	5	on	on	ADP
easat-9787	232	6	unaggregated	unaggregated	ADJ
easat-9787	232	7	data	datum	NOUN
easat-9787	232	8	,	,	PUNCT
easat-9787	232	9	with	with	ADP
easat-9787	232	10	power	power	NOUN
easat-9787	232	11	increasing	increase	VERB
easat-9787	232	12	from	from	ADP
easat-9787	232	13	0.87	0.87	NUM
easat-9787	232	14	to	to	ADP
easat-9787	232	15	0.94	0.94	NUM
easat-9787	232	16	and	and	CCONJ
easat-9787	232	17	nearexcellent	nearexcellent	ADJ
easat-9787	232	18	detection	detection	NOUN
easat-9787	232	19	(	(	PUNCT
easat-9787	232	20	0.98	0.98	NUM
easat-9787	232	21	)	)	PUNCT
easat-9787	232	22	.	.	PUNCT
easat-9787	233	1	this	this	PRON
easat-9787	233	2	validates	validate	VERB
easat-9787	233	3	theoretical	theoretical	ADJ
easat-9787	233	4	expectations	expectation	NOUN
easat-9787	233	5	that	that	SCONJ
easat-9787	233	6	the	the	DET
easat-9787	233	7	test	test	NOUN
easat-9787	233	8	is	be	AUX
easat-9787	233	9	very	very	ADV
easat-9787	233	10	powerful	powerful	ADJ
easat-9787	233	11	in	in	ADP
easat-9787	233	12	detecting	detect	VERB
easat-9787	233	13	high	high	ADJ
easat-9787	233	14	serial	serial	ADJ
easat-9787	233	15	correlation	correlation	NOUN
easat-9787	233	16	,	,	PUNCT
easat-9787	233	17	given	give	VERB
easat-9787	233	18	sufficient	sufficient	ADJ
easat-9787	233	19	data	datum	NOUN
easat-9787	233	20	.	.	PUNCT
easat-9787	234	1	however	however	ADV
easat-9787	234	2	,	,	PUNCT
easat-9787	234	3	temporal	temporal	ADJ
easat-9787	234	4	aggregation	aggregation	NOUN
easat-9787	234	5	weakens	weaken	VERB
easat-9787	234	6	the	the	DET
easat-9787	234	7	test	test	NOUN
easat-9787	234	8	power	power	NOUN
easat-9787	234	9	significantly	significantly	ADV
easat-9787	234	10	.	.	PUNCT
easat-9787	235	1	for	for	ADP
easat-9787	235	2	example	example	NOUN
easat-9787	235	3	,	,	PUNCT
easat-9787	235	4	it	it	PRON
easat-9787	235	5	weakens	weaken	VERB
easat-9787	235	6	from	from	ADP
easat-9787	235	7	0.94	0.94	NUM
easat-9787	235	8	to	to	ADP
easat-9787	235	9	0.73	0.73	NUM
easat-9787	235	10	under	under	ADP
easat-9787	235	11	weekly	weekly	ADJ
easat-9787	235	12	last	last	ADJ
easat-9787	235	13	observation	observation	NOUN
easat-9787	235	14	sampling	sample	VERB
easat-9787	235	15	(	(	PUNCT
easat-9787	235	16	los	los	PROPN
easat-9787	235	17	)	)	PUNCT
easat-9787	235	18	and	and	CCONJ
easat-9787	235	19	then	then	ADV
easat-9787	235	20	further	far	ADV
easat-9787	235	21	down	down	ADV
easat-9787	235	22	to	to	ADP
easat-9787	235	23	0.57	0.57	NUM
easat-9787	235	24	with	with	ADP
easat-9787	235	25	monthly	monthly	ADJ
easat-9787	235	26	arithmetic	arithmetic	ADJ
easat-9787	235	27	averaging	averaging	NOUN
easat-9787	235	28	(	(	PUNCT
easat-9787	235	29	avg	avg	PROPN
easat-9787	235	30	)	)	PUNCT
easat-9787	235	31	.	.	PUNCT
easat-9787	236	1	similar	similar	ADJ
easat-9787	236	2	deteriorations	deterioration	NOUN
easat-9787	236	3	are	be	AUX
easat-9787	236	4	observed	observe	VERB
easat-9787	236	5	for	for	ADP
easat-9787	236	6	other	other	ADJ
easat-9787	236	7	sample	sample	NOUN
easat-9787	236	8	sizes	size	NOUN
easat-9787	236	9	,	,	PUNCT
easat-9787	236	10	too	too	ADV
easat-9787	236	11	.	.	PUNCT
easat-9787	237	1	the	the	DET
easat-9787	237	2	results	result	NOUN
easat-9787	237	3	indicate	indicate	VERB
easat-9787	237	4	that	that	SCONJ
easat-9787	237	5	even	even	ADV
easat-9787	237	6	in	in	ADP
easat-9787	237	7	the	the	DET
easat-9787	237	8	presence	presence	NOUN
easat-9787	237	9	of	of	ADP
easat-9787	237	10	high	high	ADJ
easat-9787	237	11	autocorrelation	autocorrelation	NOUN
easat-9787	237	12	,	,	PUNCT
easat-9787	237	13	temporal	temporal	ADJ
easat-9787	237	14	aggregation	aggregation	NOUN
easat-9787	237	15	by	by	ADP
easat-9787	237	16	averaging	average	VERB
easat-9787	237	17	can	can	AUX
easat-9787	237	18	significantly	significantly	ADV
easat-9787	237	19	weaken	weaken	VERB
easat-9787	237	20	the	the	DET
easat-9787	237	21	power	power	NOUN
easat-9787	237	22	of	of	ADP
easat-9787	237	23	the	the	DET
easat-9787	237	24	dw	dw	PROPN
easat-9787	237	25	test	test	NOUN
easat-9787	237	26	for	for	ADP
easat-9787	237	27	the	the	DET
easat-9787	237	28	detection	detection	NOUN
easat-9787	237	29	of	of	ADP
easat-9787	237	30	serial	serial	ADJ
easat-9787	237	31	dependence	dependence	NOUN
easat-9787	237	32	.	.	PUNCT
easat-9787	238	1	however	however	ADV
easat-9787	238	2	,	,	PUNCT
easat-9787	238	3	compared	compare	VERB
easat-9787	238	4	with	with	ADP
easat-9787	238	5	the	the	DET
easat-9787	238	6	moderate	moderate	ADJ
easat-9787	238	7	autocorrelation	autocorrelation	NOUN
easat-9787	238	8	case	case	NOUN
easat-9787	238	9	in	in	ADP
easat-9787	238	10	table	table	NOUN
easat-9787	238	11	1	1	NUM
easat-9787	238	12	,	,	PUNCT
easat-9787	238	13	the	the	DET
easat-9787	238	14	absolute	absolute	ADJ
easat-9787	238	15	power	power	NOUN
easat-9787	238	16	levels	level	NOUN
easat-9787	238	17	are	be	AUX
easat-9787	238	18	still	still	ADV
easat-9787	238	19	fairly	fairly	ADV
easat-9787	238	20	high	high	ADJ
easat-9787	238	21	and	and	CCONJ
easat-9787	238	22	reflect	reflect	VERB
easat-9787	238	23	that	that	SCONJ
easat-9787	238	24	the	the	DET
easat-9787	238	25	dw	dw	PROPN
easat-9787	238	26	test	test	NOUN
easat-9787	238	27	is	be	AUX
easat-9787	238	28	more	more	ADV
easat-9787	238	29	robust	robust	ADJ
easat-9787	238	30	under	under	ADP
easat-9787	238	31	strong	strong	ADJ
easat-9787	238	32	correlation	correlation	NOUN
easat-9787	238	33	but	but	CCONJ
easat-9787	238	34	still	still	ADV
easat-9787	238	35	vulnerable	vulnerable	ADJ
easat-9787	238	36	to	to	ADP
easat-9787	238	37	information	information	NOUN
easat-9787	238	38	loss	loss	NOUN
easat-9787	238	39	due	due	ADP
easat-9787	238	40	to	to	ADP
easat-9787	238	41	aggregation	aggregation	NOUN
easat-9787	238	42	.	.	PUNCT
easat-9787	239	1	they	they	PRON
easat-9787	239	2	hence	hence	ADV
easat-9787	239	3	reaffirm	reaffirm	VERB
easat-9787	239	4	the	the	DET
easat-9787	239	5	caution	caution	NOUN
easat-9787	239	6	required	require	VERB
easat-9787	239	7	in	in	ADP
easat-9787	239	8	interpreting	interpret	VERB
easat-9787	239	9	dw	dw	PROPN
easat-9787	239	10	statistics	statistic	NOUN
easat-9787	239	11	based	base	VERB
easat-9787	239	12	on	on	ADP
easat-9787	239	13	aggregated	aggregated	ADJ
easat-9787	239	14	data	datum	NOUN
easat-9787	239	15	and	and	CCONJ
easat-9787	239	16	highlight	highlight	VERB
easat-9787	239	17	the	the	DET
easat-9787	239	18	usefulness	usefulness	NOUN
easat-9787	239	19	of	of	ADP
easat-9787	239	20	complementing	complement	VERB
easat-9787	239	21	such	such	ADJ
easat-9787	239	22	diagnostics	diagnostic	NOUN
easat-9787	239	23	by	by	ADP
easat-9787	239	24	other	other	ADJ
easat-9787	239	25	methods	method	NOUN
easat-9787	239	26	in	in	ADP
easat-9787	239	27	empirical	empirical	ADJ
easat-9787	239	28	work	work	NOUN
easat-9787	239	29	.	.	PUNCT
easat-9787	240	1	the	the	DET
easat-9787	240	2	aggregation	aggregation	NOUN
easat-9787	240	3	method	method	NOUN
easat-9787	240	4	employed	employ	VERB
easat-9787	240	5	significantly	significantly	ADV
easat-9787	240	6	influences	influence	VERB
easat-9787	240	7	the	the	DET
easat-9787	240	8	power	power	NOUN
easat-9787	240	9	of	of	ADP
easat-9787	240	10	the	the	DET
easat-9787	240	11	durbin	durbin	NOUN
easat-9787	240	12	-	-	PUNCT
easat-9787	240	13	watson	watson	NOUN
easat-9787	240	14	(	(	PUNCT
easat-9787	240	15	dw	dw	NOUN
easat-9787	240	16	)	)	PUNCT
easat-9787	240	17	test	test	NOUN
easat-9787	240	18	.	.	PUNCT
easat-9787	241	1	specifically	specifically	ADV
easat-9787	241	2	,	,	PUNCT
easat-9787	241	3	averaging	average	VERB
easat-9787	241	4	(	(	PUNCT
easat-9787	241	5	avg	avg	PROPN
easat-9787	241	6	)	)	PUNCT
easat-9787	241	7	caused	cause	VERB
easat-9787	241	8	a	a	DET
easat-9787	241	9	more	more	ADV
easat-9787	241	10	drastic	drastic	ADJ
easat-9787	241	11	decline	decline	NOUN
easat-9787	241	12	in	in	ADP
easat-9787	241	13	performance	performance	NOUN
easat-9787	241	14	compared	compare	VERB
easat-9787	241	15	to	to	ADP
easat-9787	241	16	the	the	DET
easat-9787	241	17	last	last	ADJ
easat-9787	241	18	observation	observation	NOUN
easat-9787	241	19	sampled	sample	VERB
easat-9787	241	20	(	(	PUNCT
easat-9787	241	21	los	los	PROPN
easat-9787	241	22	)	)	PUNCT
easat-9787	241	23	.	.	PUNCT
easat-9787	242	1	for	for	ADP
easat-9787	242	2	instance	instance	NOUN
easat-9787	242	3	,	,	PUNCT
easat-9787	242	4	for	for	ADP
easat-9787	242	5	an	an	DET
easat-9787	242	6	ar(1	ar(1	NOUN
easat-9787	242	7	)	)	PUNCT
easat-9787	242	8	process	process	NOUN
easat-9787	242	9	with	with	ADP
easat-9787	242	10	t	t	PROPN
easat-9787	242	11	=	=	SYM
easat-9787	242	12	500	500	NUM
easat-9787	242	13	,	,	PUNCT
easat-9787	242	14	weekly	weekly	ADJ
easat-9787	242	15	los	los	PROPN
easat-9787	242	16	aggregation	aggregation	NOUN
easat-9787	242	17	had	have	VERB
easat-9787	242	18	a	a	DET
easat-9787	242	19	power	power	NOUN
easat-9787	242	20	of	of	ADP
easat-9787	242	21	0.73	0.73	NUM
easat-9787	242	22	,	,	PUNCT
easat-9787	242	23	whereas	whereas	SCONJ
easat-9787	242	24	avg	avg	NOUN
easat-9787	242	25	reduced	reduce	VERB
easat-9787	242	26	it	it	PRON
easat-9787	242	27	to	to	ADP
easat-9787	242	28	0.57	0.57	NUM
easat-9787	242	29	.	.	PUNCT
easat-9787	243	1	with	with	ADP
easat-9787	243	2	a	a	DET
easat-9787	243	3	monthly	monthly	ADJ
easat-9787	243	4	frequency	frequency	NOUN
easat-9787	243	5	,	,	PUNCT
easat-9787	243	6	avg	avg	PROPN
easat-9787	243	7	forced	force	VERB
easat-9787	243	8	the	the	DET
easat-9787	243	9	power	power	NOUN
easat-9787	243	10	of	of	ADP
easat-9787	243	11	the	the	DET
easat-9787	243	12	dw	dw	PROPN
easat-9787	243	13	test	test	NOUN
easat-9787	243	14	to	to	PART
easat-9787	243	15	close	close	VERB
easat-9787	243	16	to	to	ADP
easat-9787	243	17	size	size	NOUN
easat-9787	243	18	levels	level	NOUN
easat-9787	243	19	,	,	PUNCT
easat-9787	243	20	particularly	particularly	ADV
easat-9787	243	21	in	in	ADP
easat-9787	243	22	the	the	DET
easat-9787	243	23	case	case	NOUN
easat-9787	243	24	of	of	ADP
easat-9787	243	25	moderate	moderate	ADJ
easat-9787	243	26	autocorrelation	autocorrelation	NOUN
easat-9787	243	27	.	.	PUNCT
easat-9787	244	1	the	the	DET
easat-9787	244	2	findings	finding	NOUN
easat-9787	244	3	highlight	highlight	VERB
easat-9787	244	4	the	the	DET
easat-9787	244	5	point	point	NOUN
easat-9787	244	6	that	that	SCONJ
easat-9787	244	7	averaging	averaging	NOUN
easat-9787	244	8	reduces	reduce	VERB
easat-9787	244	9	autocorrelation	autocorrelation	NOUN
easat-9787	244	10	more	more	ADV
easat-9787	244	11	than	than	ADP
easat-9787	244	12	sub	sub	ADJ
easat-9787	244	13	-	-	ADJ
easat-9787	244	14	sampling	sample	VERB
easat-9787	244	15	,	,	PUNCT
easat-9787	244	16	and	and	CCONJ
easat-9787	244	17	therefore	therefore	ADV
easat-9787	244	18	impairs	impair	VERB
easat-9787	244	19	the	the	DET
easat-9787	244	20	ability	ability	NOUN
easat-9787	244	21	of	of	ADP
easat-9787	244	22	residual	residual	ADJ
easat-9787	244	23	-	-	PUNCT
easat-9787	244	24	based	base	VERB
easat-9787	244	25	tests	test	NOUN
easat-9787	244	26	like	like	ADP
easat-9787	244	27	the	the	DET
easat-9787	244	28	dw	dw	NOUN
easat-9787	244	29	to	to	PART
easat-9787	244	30	detect	detect	VERB
easat-9787	244	31	serial	serial	ADJ
easat-9787	244	32	dependence	dependence	NOUN
easat-9787	244	33	.	.	PUNCT
easat-9787	245	1	table	table	NOUN
easat-9787	245	2	3	3	NUM
easat-9787	245	3	.	.	PUNCT
easat-9787	245	4	dw	dw	NOUN
easat-9787	245	5	power	power	NOUN
easat-9787	245	6	for	for	ADP
easat-9787	245	7	ar(2	ar(2	NOUN
easat-9787	245	8	)	)	PUNCT
easat-9787	245	9	and	and	CCONJ
easat-9787	245	10	arma(1,1	arma(1,1	NOUN
easat-9787	245	11	)	)	PUNCT
easat-9787	245	12	models	model	NOUN
easat-9787	245	13	(	(	PUNCT
easat-9787	245	14	t	t	NOUN
easat-9787	245	15	=	=	SYM
easat-9787	245	16	500	500	NUM
easat-9787	245	17	)	)	PUNCT
easat-9787	245	18	.	.	PUNCT
easat-9787	246	1	dgp	dgp	NOUN
easat-9787	246	2	aggregation	aggregation	NOUN
easat-9787	246	3	method	method	NOUN
easat-9787	246	4	power	power	NOUN
easat-9787	246	5	ar(2	ar(2	NOUN
easat-9787	246	6	)	)	PUNCT
easat-9787	246	7	none	none	NOUN
easat-9787	246	8	dw	dw	NOUN
easat-9787	246	9	0.42	0.42	NUM
easat-9787	246	10	ar(2	ar(2	PROPN
easat-9787	246	11	)	)	PUNCT
easat-9787	246	12	weekly	weekly	NOUN
easat-9787	246	13	(	(	PUNCT
easat-9787	246	14	los	los	PROPN
easat-9787	246	15	)	)	PUNCT
easat-9787	246	16	dw	dw	PROPN
easat-9787	246	17	0.29	0.29	NUM
easat-9787	246	18	ar(2	ar(2	PROPN
easat-9787	246	19	)	)	PUNCT
easat-9787	246	20	monthly	monthly	ADV
easat-9787	246	21	(	(	PUNCT
easat-9787	246	22	avg	avg	NOUN
easat-9787	246	23	)	)	PUNCT
easat-9787	246	24	dw	dw	PROPN
easat-9787	246	25	0.19	0.19	NUM
easat-9787	246	26	arma(1,1	arma(1,1	NOUN
easat-9787	246	27	)	)	PUNCT
easat-9787	247	1	none	none	NOUN
easat-9787	247	2	dw	dw	PROPN
easat-9787	247	3	0.35	0.35	NUM
easat-9787	247	4	arma(1,1	arma(1,1	NOUN
easat-9787	247	5	)	)	PUNCT
easat-9787	247	6	weekly	weekly	NOUN
easat-9787	247	7	(	(	PUNCT
easat-9787	247	8	los	los	PROPN
easat-9787	247	9	)	)	PUNCT
easat-9787	247	10	dw	dw	PROPN
easat-9787	247	11	0.18	0.18	NUM
easat-9787	247	12	arma(1,1	arma(1,1	PROPN
easat-9787	247	13	)	)	PUNCT
easat-9787	247	14	monthly	monthly	ADV
easat-9787	247	15	(	(	PUNCT
easat-9787	247	16	avg	avg	NOUN
easat-9787	247	17	)	)	PUNCT
easat-9787	247	18	dw	dw	PROPN
easat-9787	247	19	0.09	0.09	NUM
easat-9787	247	20	note	note	NOUN
easat-9787	247	21	:	:	PUNCT
easat-9787	247	22	all	all	DET
easat-9787	247	23	values	value	NOUN
easat-9787	247	24	are	be	AUX
easat-9787	247	25	based	base	VERB
easat-9787	247	26	on	on	ADP
easat-9787	247	27	1,000	1,000	NUM
easat-9787	247	28	monte	monte	PROPN
easat-9787	247	29	carlo	carlo	NOUN
easat-9787	247	30	replications	replication	NOUN
easat-9787	247	31	.	.	PUNCT
easat-9787	248	1	table	table	NOUN
easat-9787	248	2	3	3	NUM
easat-9787	248	3	examines	examine	VERB
easat-9787	248	4	the	the	DET
easat-9787	248	5	power	power	NOUN
easat-9787	248	6	of	of	ADP
easat-9787	248	7	the	the	DET
easat-9787	248	8	durbin	durbin	NOUN
easat-9787	248	9	-	-	PUNCT
easat-9787	248	10	watson	watson	NOUN
easat-9787	248	11	(	(	PUNCT
easat-9787	248	12	dw	dw	NOUN
easat-9787	248	13	)	)	PUNCT
easat-9787	248	14	test	test	NOUN
easat-9787	248	15	against	against	ADP
easat-9787	248	16	autocorrelation	autocorrelation	NOUN
easat-9787	248	17	in	in	ADP
easat-9787	248	18	more	more	ADV
easat-9787	248	19	complex	complex	ADJ
easat-9787	248	20	time	time	NOUN
easat-9787	248	21	series	series	NOUN
easat-9787	248	22	forms	form	NOUN
easat-9787	248	23	,	,	PUNCT
easat-9787	248	24	namely	namely	ADV
easat-9787	248	25	ar(2	ar(2	NOUN
easat-9787	248	26	)	)	PUNCT
easat-9787	248	27	and	and	CCONJ
easat-9787	248	28	arma(1,1	arma(1,1	ADJ
easat-9787	248	29	)	)	PUNCT
easat-9787	248	30	models	model	NOUN
easat-9787	248	31	,	,	PUNCT
easat-9787	248	32	with	with	ADP
easat-9787	248	33	a	a	DET
easat-9787	248	34	fixed	fix	VERB
easat-9787	248	35	sample	sample	NOUN
easat-9787	248	36	size	size	NOUN
easat-9787	248	37	of	of	ADP
easat-9787	248	38	t=500	t=500	PROPN
easat-9787	248	39	.	.	PUNCT
easat-9787	249	1	for	for	ADP
easat-9787	249	2	both	both	DET
easat-9787	249	3	cases	case	NOUN
easat-9787	249	4	,	,	PUNCT
easat-9787	249	5	dw	dw	PROPN
easat-9787	249	6	has	have	VERB
easat-9787	249	7	lower	low	ADJ
easat-9787	249	8	power	power	NOUN
easat-9787	249	9	than	than	ADP
easat-9787	249	10	in	in	ADP
easat-9787	249	11	the	the	DET
easat-9787	249	12	simpler	simple	ADJ
easat-9787	249	13	ar(1	ar(1	NOUN
easat-9787	249	14	)	)	PUNCT
easat-9787	249	15	models	model	NOUN
easat-9787	249	16	of	of	ADP
easat-9787	249	17	tables	table	NOUN
easat-9787	249	18	a1	a1	NOUN
easat-9787	249	19	and	and	CCONJ
easat-9787	249	20	a2	a2	PROPN
easat-9787	249	21	.	.	PUNCT
easat-9787	250	1	for	for	ADP
easat-9787	250	2	the	the	DET
easat-9787	250	3	235	235	NUM
easat-9787	250	4	edelweiss	edelweiss	PROPN
easat-9787	250	5	applied	apply	VERB
easat-9787	250	6	science	science	NOUN
easat-9787	250	7	and	and	CCONJ
easat-9787	250	8	technology	technology	NOUN
easat-9787	250	9	issn	issn	PROPN
easat-9787	250	10	:	:	PUNCT
easat-9787	250	11	2576	2576	NUM
easat-9787	250	12	-	-	SYM
easat-9787	250	13	8484	8484	NUM
easat-9787	250	14	vol	vol	NOUN
easat-9787	250	15	.	.	PROPN
easat-9787	250	16	9	9	NUM
easat-9787	250	17	,	,	PUNCT
easat-9787	250	18	no	no	INTJ
easat-9787	250	19	.	.	NOUN
easat-9787	250	20	9	9	NUM
easat-9787	250	21	:	:	SYM
easat-9787	250	22	226	226	NUM
easat-9787	250	23	-	-	SYM
easat-9787	250	24	244	244	NUM
easat-9787	250	25	,	,	PUNCT
easat-9787	250	26	2025	2025	NUM
easat-9787	250	27	doi	doi	NOUN
easat-9787	250	28	:	:	PUNCT
easat-9787	250	29	10.55214/2576	10.55214/2576	NUM
easat-9787	250	30	-	-	PUNCT
easat-9787	250	31	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	250	32	©	©	PROPN
easat-9787	250	33	2025	2025	NUM
easat-9787	250	34	by	by	ADP
easat-9787	250	35	the	the	DET
easat-9787	250	36	author	author	NOUN
easat-9787	250	37	;	;	PUNCT
easat-9787	250	38	licensee	licensee	PROPN
easat-9787	250	39	learning	learning	PROPN
easat-9787	250	40	gate	gate	PROPN
easat-9787	250	41	ar(2	ar(2	PROPN
easat-9787	250	42	)	)	PUNCT
easat-9787	250	43	model	model	NOUN
easat-9787	250	44	,	,	PUNCT
easat-9787	250	45	power	power	NOUN
easat-9787	250	46	starts	start	VERB
easat-9787	250	47	at	at	ADP
easat-9787	250	48	0.42	0.42	NUM
easat-9787	250	49	with	with	ADP
easat-9787	250	50	unaggregated	unaggregated	ADJ
easat-9787	250	51	data	datum	NOUN
easat-9787	250	52	and	and	CCONJ
easat-9787	250	53	declines	decline	NOUN
easat-9787	250	54	to	to	ADP
easat-9787	250	55	0.29	0.29	NUM
easat-9787	250	56	under	under	ADP
easat-9787	250	57	weekly	weekly	ADJ
easat-9787	250	58	last	last	ADJ
easat-9787	250	59	observation	observation	NOUN
easat-9787	250	60	sampling	sample	VERB
easat-9787	250	61	(	(	PUNCT
easat-9787	250	62	los	los	PROPN
easat-9787	250	63	)	)	PUNCT
easat-9787	250	64	and	and	CCONJ
easat-9787	250	65	further	far	ADV
easat-9787	250	66	to	to	ADP
easat-9787	250	67	0.19	0.19	NUM
easat-9787	250	68	under	under	ADP
easat-9787	250	69	monthly	monthly	ADJ
easat-9787	250	70	arithmetic	arithmetic	ADJ
easat-9787	250	71	averaging	averaging	NOUN
easat-9787	250	72	(	(	PUNCT
easat-9787	250	73	avg	avg	PROPN
easat-9787	250	74	)	)	PUNCT
easat-9787	250	75	.	.	PUNCT
easat-9787	251	1	the	the	DET
easat-9787	251	2	arma(1,1	arma(1,1	PROPN
easat-9787	251	3	)	)	PUNCT
easat-9787	251	4	model	model	NOUN
easat-9787	251	5	exhibits	exhibit	VERB
easat-9787	251	6	an	an	DET
easat-9787	251	7	even	even	ADV
easat-9787	251	8	steeper	steep	ADJ
easat-9787	251	9	decline	decline	NOUN
easat-9787	251	10	:	:	PUNCT
easat-9787	251	11	starting	start	VERB
easat-9787	251	12	from	from	ADP
easat-9787	251	13	a	a	DET
easat-9787	251	14	modest	modest	ADJ
easat-9787	251	15	0.35	0.35	NUM
easat-9787	251	16	with	with	ADP
easat-9787	251	17	unaggregated	unaggregated	ADJ
easat-9787	251	18	data	datum	NOUN
easat-9787	251	19	and	and	CCONJ
easat-9787	251	20	falling	fall	VERB
easat-9787	251	21	to	to	ADP
easat-9787	251	22	0.18	0.18	NUM
easat-9787	251	23	(	(	PUNCT
easat-9787	251	24	weekly	weekly	ADJ
easat-9787	251	25	los	los	PROPN
easat-9787	251	26	)	)	PUNCT
easat-9787	251	27	and	and	CCONJ
easat-9787	251	28	0.09	0.09	NUM
easat-9787	251	29	(	(	PUNCT
easat-9787	251	30	monthly	monthly	ADJ
easat-9787	251	31	avg	avg	NOUN
easat-9787	251	32	)	)	PUNCT
easat-9787	251	33	.	.	PUNCT
easat-9787	252	1	there	there	PRON
easat-9787	252	2	are	be	VERB
easat-9787	252	3	two	two	NUM
easat-9787	252	4	major	major	ADJ
easat-9787	252	5	drawbacks	drawback	NOUN
easat-9787	252	6	of	of	ADP
easat-9787	252	7	the	the	DET
easat-9787	252	8	dw	dw	PROPN
easat-9787	252	9	test	test	NOUN
easat-9787	252	10	.	.	PUNCT
easat-9787	253	1	first	first	ADV
easat-9787	253	2	,	,	PUNCT
easat-9787	253	3	it	it	PRON
easat-9787	253	4	is	be	AUX
easat-9787	253	5	designed	design	VERB
easat-9787	253	6	particularly	particularly	ADV
easat-9787	253	7	to	to	PART
easat-9787	253	8	detect	detect	VERB
easat-9787	253	9	first	first	ADJ
easat-9787	253	10	-	-	PUNCT
easat-9787	253	11	order	order	NOUN
easat-9787	253	12	serial	serial	ADJ
easat-9787	253	13	correlation	correlation	NOUN
easat-9787	253	14	and	and	CCONJ
easat-9787	253	15	hence	hence	ADV
easat-9787	253	16	fails	fail	VERB
easat-9787	253	17	in	in	ADP
easat-9787	253	18	cases	case	NOUN
easat-9787	253	19	with	with	ADP
easat-9787	253	20	higher	high	ADJ
easat-9787	253	21	-	-	PUNCT
easat-9787	253	22	order	order	NOUN
easat-9787	253	23	lags	lag	VERB
easat-9787	253	24	or	or	CCONJ
easat-9787	253	25	moving	move	VERB
easat-9787	253	26	averages	average	NOUN
easat-9787	253	27	.	.	PUNCT
easat-9787	254	1	second	second	ADJ
easat-9787	254	2	,	,	PUNCT
easat-9787	254	3	temporal	temporal	ADJ
easat-9787	254	4	aggregation	aggregation	NOUN
easat-9787	254	5	makes	make	VERB
easat-9787	254	6	this	this	DET
easat-9787	254	7	failure	failure	NOUN
easat-9787	254	8	even	even	ADV
easat-9787	254	9	more	more	ADV
easat-9787	254	10	extreme	extreme	ADJ
easat-9787	254	11	by	by	ADP
easat-9787	254	12	again	again	ADV
easat-9787	254	13	distorting	distort	VERB
easat-9787	254	14	the	the	DET
easat-9787	254	15	autocorrelation	autocorrelation	NOUN
easat-9787	254	16	structure	structure	NOUN
easat-9787	254	17	of	of	ADP
easat-9787	254	18	the	the	DET
easat-9787	254	19	series	series	NOUN
easat-9787	254	20	,	,	PUNCT
easat-9787	254	21	especially	especially	ADV
easat-9787	254	22	under	under	ADP
easat-9787	254	23	averaging	averaging	NOUN
easat-9787	254	24	.	.	PUNCT
easat-9787	255	1	the	the	DET
easat-9787	255	2	power	power	NOUN
easat-9787	255	3	of	of	ADP
easat-9787	255	4	the	the	DET
easat-9787	255	5	dw	dw	PROPN
easat-9787	255	6	test	test	NOUN
easat-9787	255	7	in	in	ADP
easat-9787	255	8	these	these	DET
easat-9787	255	9	more	more	ADV
easat-9787	255	10	complex	complex	ADJ
easat-9787	255	11	settings	setting	NOUN
easat-9787	255	12	approaches	approach	VERB
easat-9787	255	13	the	the	DET
easat-9787	255	14	size	size	NOUN
easat-9787	255	15	of	of	ADP
easat-9787	255	16	the	the	DET
easat-9787	255	17	test	test	NOUN
easat-9787	255	18	under	under	ADP
easat-9787	255	19	severe	severe	ADJ
easat-9787	255	20	aggregation	aggregation	NOUN
easat-9787	255	21	,	,	PUNCT
easat-9787	255	22	implying	imply	VERB
easat-9787	255	23	a	a	DET
easat-9787	255	24	high	high	ADJ
easat-9787	255	25	likelihood	likelihood	NOUN
easat-9787	255	26	of	of	ADP
easat-9787	255	27	failing	fail	VERB
easat-9787	255	28	to	to	PART
easat-9787	255	29	detect	detect	VERB
easat-9787	255	30	actual	actual	ADJ
easat-9787	255	31	autocorrelation	autocorrelation	NOUN
easat-9787	255	32	.	.	PUNCT
easat-9787	256	1	this	this	PRON
easat-9787	256	2	reinforces	reinforce	VERB
easat-9787	256	3	the	the	DET
easat-9787	256	4	view	view	NOUN
easat-9787	256	5	that	that	SCONJ
easat-9787	256	6	the	the	DET
easat-9787	256	7	dw	dw	NOUN
easat-9787	256	8	test	test	NOUN
easat-9787	256	9	should	should	AUX
easat-9787	256	10	be	be	AUX
easat-9787	256	11	used	use	VERB
easat-9787	256	12	cautiously	cautiously	ADV
easat-9787	256	13	in	in	ADP
easat-9787	256	14	models	model	NOUN
easat-9787	256	15	with	with	ADP
easat-9787	256	16	layered	layered	ADJ
easat-9787	256	17	or	or	CCONJ
easat-9787	256	18	non	non	ADJ
easat-9787	256	19	-	-	ADJ
easat-9787	256	20	ar(1	ar(1	NOUN
easat-9787	256	21	)	)	PUNCT
easat-9787	256	22	dynamics	dynamic	NOUN
easat-9787	256	23	,	,	PUNCT
easat-9787	256	24	and	and	CCONJ
easat-9787	256	25	that	that	DET
easat-9787	256	26	robust	robust	ADJ
easat-9787	256	27	alternatives	alternative	NOUN
easat-9787	256	28	or	or	CCONJ
easat-9787	256	29	supplementary	supplementary	ADJ
easat-9787	256	30	diagnostics	diagnostic	NOUN
easat-9787	256	31	are	be	AUX
easat-9787	256	32	essential	essential	ADJ
easat-9787	256	33	when	when	SCONJ
easat-9787	256	34	analyzing	analyze	VERB
easat-9787	256	35	temporally	temporally	ADV
easat-9787	256	36	aggregated	aggregate	VERB
easat-9787	256	37	data	datum	NOUN
easat-9787	256	38	from	from	ADP
easat-9787	256	39	such	such	ADJ
easat-9787	256	40	processes	process	NOUN
easat-9787	256	41	.	.	PUNCT
easat-9787	257	1	to	to	PART
easat-9787	257	2	test	test	VERB
easat-9787	257	3	the	the	DET
easat-9787	257	4	robustness	robustness	NOUN
easat-9787	257	5	of	of	ADP
easat-9787	257	6	earlier	early	ADJ
easat-9787	257	7	findings	finding	NOUN
easat-9787	257	8	,	,	PUNCT
easat-9787	257	9	simulations	simulation	NOUN
easat-9787	257	10	under	under	ADP
easat-9787	257	11	more	more	ADJ
easat-9787	257	12	complex	complex	ADJ
easat-9787	257	13	data	data	NOUN
easat-9787	257	14	-	-	PUNCT
easat-9787	257	15	generating	generate	VERB
easat-9787	257	16	processes	process	NOUN
easat-9787	257	17	(	(	PUNCT
easat-9787	257	18	dgps	dgps	PROPN
easat-9787	257	19	)	)	PUNCT
easat-9787	257	20	,	,	PUNCT
easat-9787	257	21	e.g.	e.g.	ADV
easat-9787	257	22	,	,	PUNCT
easat-9787	257	23	ar(2	ar(2	NOUN
easat-9787	257	24	)	)	PUNCT
easat-9787	257	25	and	and	CCONJ
easat-9787	257	26	arma(1,1	arma(1,1	ADJ
easat-9787	257	27	)	)	PUNCT
easat-9787	257	28	models	model	NOUN
easat-9787	257	29	,	,	PUNCT
easat-9787	257	30	were	be	AUX
easat-9787	257	31	performed	perform	VERB
easat-9787	257	32	.	.	PUNCT
easat-9787	258	1	for	for	ADP
easat-9787	258	2	the	the	DET
easat-9787	258	3	ar(2	ar(2	PROPN
easat-9787	258	4	)	)	PUNCT
easat-9787	258	5	dgp	dgp	NOUN
easat-9787	258	6	,	,	PUNCT
easat-9787	258	7	the	the	DET
easat-9787	258	8	durbin	durbin	NOUN
easat-9787	258	9	-	-	PUNCT
easat-9787	258	10	watson	watson	NOUN
easat-9787	258	11	(	(	PUNCT
easat-9787	258	12	dw	dw	NOUN
easat-9787	258	13	)	)	PUNCT
easat-9787	258	14	test	test	NOUN
easat-9787	258	15	had	have	VERB
easat-9787	258	16	less	less	ADJ
easat-9787	258	17	baseline	baseline	ADJ
easat-9787	258	18	power	power	NOUN
easat-9787	258	19	owing	owe	VERB
easat-9787	258	20	to	to	ADP
easat-9787	258	21	its	its	PRON
easat-9787	258	22	principal	principal	ADJ
easat-9787	258	23	sensitivity	sensitivity	NOUN
easat-9787	258	24	to	to	ADP
easat-9787	258	25	first	first	ADJ
easat-9787	258	26	-	-	PUNCT
easat-9787	258	27	order	order	NOUN
easat-9787	258	28	autocorrelation	autocorrelation	NOUN
easat-9787	258	29	.	.	PUNCT
easat-9787	259	1	this	this	DET
easat-9787	259	2	limitation	limitation	NOUN
easat-9787	259	3	was	be	AUX
easat-9787	259	4	further	far	ADV
easat-9787	259	5	intensified	intensify	VERB
easat-9787	259	6	by	by	ADP
easat-9787	259	7	temporal	temporal	ADJ
easat-9787	259	8	aggregation	aggregation	NOUN
easat-9787	259	9	,	,	PUNCT
easat-9787	259	10	with	with	ADP
easat-9787	259	11	monthly	monthly	ADJ
easat-9787	259	12	averaging	average	VERB
easat-9787	259	13	driving	drive	VERB
easat-9787	259	14	power	power	NOUN
easat-9787	259	15	below	below	ADP
easat-9787	259	16	0.25	0.25	NUM
easat-9787	259	17	even	even	ADV
easat-9787	259	18	in	in	ADP
easat-9787	259	19	large	large	ADJ
easat-9787	259	20	samples	sample	NOUN
easat-9787	259	21	(	(	PUNCT
easat-9787	259	22	t	t	NOUN
easat-9787	259	23	=	=	SYM
easat-9787	259	24	1000	1000	NUM
easat-9787	259	25	)	)	PUNCT
easat-9787	259	26	.	.	PUNCT
easat-9787	260	1	in	in	ADP
easat-9787	260	2	the	the	DET
easat-9787	260	3	arma(1,1	arma(1,1	NOUN
easat-9787	260	4	)	)	PUNCT
easat-9787	260	5	setting	setting	NOUN
easat-9787	260	6	,	,	PUNCT
easat-9787	260	7	the	the	DET
easat-9787	260	8	presence	presence	NOUN
easat-9787	260	9	of	of	ADP
easat-9787	260	10	a	a	DET
easat-9787	260	11	moving	move	VERB
easat-9787	260	12	average	average	ADJ
easat-9787	260	13	component	component	NOUN
easat-9787	260	14	already	already	ADV
easat-9787	260	15	weakened	weaken	VERB
easat-9787	260	16	the	the	DET
easat-9787	260	17	dw	dw	PROPN
easat-9787	260	18	test	test	NOUN
easat-9787	260	19	’s	’s	PART
easat-9787	260	20	performance	performance	NOUN
easat-9787	260	21	in	in	ADP
easat-9787	260	22	daily	daily	ADJ
easat-9787	260	23	data	datum	NOUN
easat-9787	260	24	.	.	PUNCT
easat-9787	261	1	aggregation	aggregation	NOUN
easat-9787	261	2	cut	cut	VERB
easat-9787	261	3	its	its	PRON
easat-9787	261	4	power	power	NOUN
easat-9787	261	5	even	even	ADV
easat-9787	261	6	more	more	ADV
easat-9787	261	7	,	,	PUNCT
easat-9787	261	8	in	in	ADP
easat-9787	261	9	some	some	DET
easat-9787	261	10	cases	case	NOUN
easat-9787	261	11	,	,	PUNCT
easat-9787	261	12	to	to	PART
easat-9787	261	13	close	close	VERB
easat-9787	261	14	to	to	ADP
easat-9787	261	15	size	size	NOUN
easat-9787	261	16	levels	level	NOUN
easat-9787	261	17	(	(	PUNCT
easat-9787	261	18	<	<	X
easat-9787	261	19	0.10	0.10	NUM
easat-9787	261	20	)	)	PUNCT
easat-9787	261	21	,	,	PUNCT
easat-9787	261	22	with	with	ADP
easat-9787	261	23	the	the	DET
easat-9787	261	24	implication	implication	NOUN
easat-9787	261	25	of	of	ADP
easat-9787	261	26	a	a	DET
easat-9787	261	27	higher	high	ADJ
easat-9787	261	28	risk	risk	NOUN
easat-9787	261	29	of	of	ADP
easat-9787	261	30	false	false	ADJ
easat-9787	261	31	negatives	negative	NOUN
easat-9787	261	32	.	.	PUNCT
easat-9787	262	1	these	these	DET
easat-9787	262	2	results	result	NOUN
easat-9787	262	3	confirm	confirm	VERB
easat-9787	262	4	that	that	SCONJ
easat-9787	262	5	the	the	DET
easat-9787	262	6	dw	dw	PROPN
easat-9787	262	7	test	test	NOUN
easat-9787	262	8	works	work	VERB
easat-9787	262	9	optimally	optimally	ADV
easat-9787	262	10	in	in	ADP
easat-9787	262	11	straightforward	straightforward	ADJ
easat-9787	262	12	ar(1	ar(1	NOUN
easat-9787	262	13	)	)	PUNCT
easat-9787	262	14	situations	situation	NOUN
easat-9787	262	15	and	and	CCONJ
easat-9787	262	16	that	that	SCONJ
easat-9787	262	17	its	its	PRON
easat-9787	262	18	diagnostic	diagnostic	ADJ
easat-9787	262	19	capacity	capacity	NOUN
easat-9787	262	20	worsens	worsen	VERB
easat-9787	262	21	considerably	considerably	ADV
easat-9787	262	22	in	in	ADP
easat-9787	262	23	more	more	ADJ
easat-9787	262	24	complex	complex	ADJ
easat-9787	262	25	models	model	NOUN
easat-9787	262	26	,	,	PUNCT
easat-9787	262	27	especially	especially	ADV
easat-9787	262	28	under	under	ADP
easat-9787	262	29	temporal	temporal	ADJ
easat-9787	262	30	aggregation	aggregation	NOUN
easat-9787	262	31	.	.	PUNCT
easat-9787	263	1	table	table	NOUN
easat-9787	263	2	4	4	NUM
easat-9787	263	3	provides	provide	VERB
easat-9787	263	4	a	a	DET
easat-9787	263	5	comparison	comparison	NOUN
easat-9787	263	6	of	of	ADP
easat-9787	263	7	the	the	DET
easat-9787	263	8	power	power	NOUN
easat-9787	263	9	of	of	ADP
easat-9787	263	10	the	the	DET
easat-9787	263	11	durbin	durbin	NOUN
easat-9787	263	12	-	-	PUNCT
easat-9787	263	13	watson	watson	NOUN
easat-9787	263	14	(	(	PUNCT
easat-9787	263	15	dw	dw	NOUN
easat-9787	263	16	)	)	PUNCT
easat-9787	263	17	test	test	NOUN
easat-9787	263	18	versus	versus	ADP
easat-9787	263	19	the	the	DET
easat-9787	263	20	breuschgodfrey	breuschgodfrey	PROPN
easat-9787	263	21	(	(	PUNCT
easat-9787	263	22	bg	bg	NOUN
easat-9787	263	23	)	)	PUNCT
easat-9787	263	24	test	test	NOUN
easat-9787	263	25	to	to	PART
easat-9787	263	26	detect	detect	VERB
easat-9787	263	27	autocorrelation	autocorrelation	NOUN
easat-9787	263	28	in	in	ADP
easat-9787	263	29	an	an	DET
easat-9787	263	30	ar(1	ar(1	NOUN
easat-9787	263	31	)	)	PUNCT
easat-9787	263	32	process	process	NOUN
easat-9787	263	33	with	with	ADP
easat-9787	263	34	sample	sample	NOUN
easat-9787	263	35	size	size	NOUN
easat-9787	263	36	t=500	t=500	PROPN
easat-9787	263	37	.	.	PUNCT
easat-9787	263	38	table	table	NOUN
easat-9787	263	39	4	4	NUM
easat-9787	263	40	.	.	PUNCT
easat-9787	264	1	power	power	NOUN
easat-9787	264	2	comparison	comparison	NOUN
easat-9787	264	3	:	:	PUNCT
easat-9787	264	4	dw	dw	PROPN
easat-9787	264	5	vs.	vs.	ADP
easat-9787	264	6	bg	bg	PROPN
easat-9787	264	7	test	test	NOUN
easat-9787	264	8	for	for	ADP
easat-9787	264	9	ar(1	ar(1	PROPN
easat-9787	264	10	)	)	PUNCT
easat-9787	264	11	with	with	ADP
easat-9787	264	12	rho	rho	PROPN
easat-9787	264	13	(	(	PUNCT
easat-9787	264	14	ρ	ρ	NOUN
easat-9787	264	15	)	)	PUNCT
easat-9787	264	16	=	=	SYM
easat-9787	264	17	0.5	0.5	NUM
easat-9787	264	18	(	(	PUNCT
easat-9787	264	19	t	t	NOUN
easat-9787	264	20	=	=	SYM
easat-9787	264	21	500	500	NUM
easat-9787	264	22	)	)	PUNCT
easat-9787	264	23	.	.	PUNCT
easat-9787	265	1	aggregation	aggregation	NOUN
easat-9787	265	2	dw	dw	PROPN
easat-9787	265	3	power	power	PROPN
easat-9787	265	4	bg	bg	PROPN
easat-9787	265	5	power	power	NOUN
easat-9787	265	6	none	none	NOUN
easat-9787	265	7	0.76	0.76	NUM
easat-9787	265	8	0.8	0.8	NUM
easat-9787	265	9	weekly	weekly	ADJ
easat-9787	265	10	(	(	PUNCT
easat-9787	265	11	los	los	PROPN
easat-9787	265	12	)	)	PUNCT
easat-9787	265	13	0.49	0.49	NUM
easat-9787	265	14	0.65	0.65	NUM
easat-9787	265	15	monthly	monthly	ADJ
easat-9787	265	16	(	(	PUNCT
easat-9787	265	17	avg	avg	NOUN
easat-9787	265	18	)	)	PUNCT
easat-9787	265	19	0.34	0.34	NUM
easat-9787	265	20	0.55	0.55	NUM
easat-9787	265	21	note	note	NOUN
easat-9787	265	22	:	:	PUNCT
easat-9787	265	23	all	all	DET
easat-9787	265	24	values	value	NOUN
easat-9787	265	25	are	be	AUX
easat-9787	265	26	based	base	VERB
easat-9787	265	27	on	on	ADP
easat-9787	265	28	1,000	1,000	NUM
easat-9787	265	29	monte	monte	PROPN
easat-9787	265	30	carlo	carlo	NOUN
easat-9787	265	31	replications	replication	NOUN
easat-9787	265	32	.	.	PUNCT
easat-9787	266	1	dw	dw	NOUN
easat-9787	266	2	=	=	VERB
easat-9787	266	3	durbin	durbin	PROPN
easat-9787	266	4	-	-	PUNCT
easat-9787	266	5	watson	watson	PROPN
easat-9787	266	6	test	test	NOUN
easat-9787	266	7	;	;	PUNCT
easat-9787	266	8	bg	bg	PROPN
easat-9787	266	9	=	=	PUNCT
easat-9787	266	10	breusch	breusch	PROPN
easat-9787	266	11	-	-	PUNCT
easat-9787	266	12	godfrey	godfrey	PROPN
easat-9787	266	13	test	test	NOUN
easat-9787	266	14	;	;	PUNCT
easat-9787	266	15	avg	avg	NOUN
easat-9787	266	16	=	=	SYM
easat-9787	266	17	arithmetic	arithmetic	ADJ
easat-9787	266	18	averaging	averaging	NOUN
easat-9787	266	19	;	;	PUNCT
easat-9787	266	20	los	los	PROPN
easat-9787	266	21	=	=	PROPN
easat-9787	266	22	last	last	ADJ
easat-9787	266	23	observation	observation	NOUN
easat-9787	266	24	sampling	sample	VERB
easat-9787	266	25	.	.	PUNCT
easat-9787	267	1	the	the	DET
easat-9787	267	2	non	non	ADJ
easat-9787	267	3	-	-	ADJ
easat-9787	267	4	aggregated	aggregated	ADJ
easat-9787	267	5	data	datum	NOUN
easat-9787	267	6	also	also	ADV
easat-9787	267	7	have	have	VERB
easat-9787	267	8	comparable	comparable	ADJ
easat-9787	267	9	power	power	NOUN
easat-9787	267	10	for	for	ADP
easat-9787	267	11	the	the	DET
easat-9787	267	12	two	two	NUM
easat-9787	267	13	tests	test	NOUN
easat-9787	267	14	,	,	PUNCT
easat-9787	267	15	at	at	ADP
easat-9787	267	16	0.76	0.76	NUM
easat-9787	267	17	for	for	ADP
easat-9787	267	18	dw	dw	PROPN
easat-9787	267	19	and	and	CCONJ
easat-9787	267	20	0.80	0.80	NUM
easat-9787	267	21	for	for	ADP
easat-9787	267	22	bg	bg	PROPN
easat-9787	267	23	,	,	PUNCT
easat-9787	267	24	demonstrating	demonstrate	VERB
easat-9787	267	25	excellent	excellent	ADJ
easat-9787	267	26	detection	detection	NOUN
easat-9787	267	27	of	of	ADP
easat-9787	267	28	moderate	moderate	ADJ
easat-9787	267	29	autocorrelation	autocorrelation	NOUN
easat-9787	267	30	when	when	SCONJ
easat-9787	267	31	all	all	DET
easat-9787	267	32	temporal	temporal	ADJ
easat-9787	267	33	resolution	resolution	NOUN
easat-9787	267	34	is	be	AUX
easat-9787	267	35	maintained	maintain	VERB
easat-9787	267	36	.	.	PUNCT
easat-9787	268	1	but	but	CCONJ
easat-9787	268	2	the	the	DET
easat-9787	268	3	power	power	NOUN
easat-9787	268	4	of	of	ADP
easat-9787	268	5	the	the	DET
easat-9787	268	6	dw	dw	PROPN
easat-9787	268	7	test	test	NOUN
easat-9787	268	8	deteriorates	deteriorate	VERB
easat-9787	268	9	more	more	ADV
easat-9787	268	10	rapidly	rapidly	ADV
easat-9787	268	11	at	at	ADP
easat-9787	268	12	higher	high	ADJ
easat-9787	268	13	aggregation	aggregation	NOUN
easat-9787	268	14	levels	level	NOUN
easat-9787	268	15	compared	compare	VERB
easat-9787	268	16	to	to	ADP
easat-9787	268	17	the	the	DET
easat-9787	268	18	bg	bg	PROPN
easat-9787	268	19	test	test	NOUN
easat-9787	268	20	.	.	PUNCT
easat-9787	269	1	at	at	ADP
easat-9787	269	2	los	los	PROPN
easat-9787	269	3	of	of	ADP
easat-9787	269	4	a	a	DET
easat-9787	269	5	week	week	NOUN
easat-9787	269	6	,	,	PUNCT
easat-9787	269	7	dw	dw	PROPN
easat-9787	269	8	loses	lose	VERB
easat-9787	269	9	power	power	NOUN
easat-9787	269	10	to	to	ADP
easat-9787	269	11	0.49	0.49	NUM
easat-9787	269	12	,	,	PUNCT
easat-9787	269	13	but	but	CCONJ
easat-9787	269	14	the	the	DET
easat-9787	269	15	power	power	NOUN
easat-9787	269	16	of	of	ADP
easat-9787	269	17	bg	bg	PROPN
easat-9787	269	18	remains	remain	VERB
easat-9787	269	19	at	at	ADP
easat-9787	269	20	0.65	0.65	NUM
easat-9787	269	21	.	.	PUNCT
easat-9787	270	1	the	the	DET
easat-9787	270	2	difference	difference	NOUN
easat-9787	270	3	is	be	AUX
easat-9787	270	4	greater	great	ADJ
easat-9787	270	5	at	at	ADP
easat-9787	270	6	monthly	monthly	ADJ
easat-9787	270	7	avg	avg	NOUN
easat-9787	270	8	,	,	PUNCT
easat-9787	270	9	where	where	SCONJ
easat-9787	270	10	dw	dw	PROPN
easat-9787	270	11	falls	fall	VERB
easat-9787	270	12	to	to	ADP
easat-9787	270	13	0.34	0.34	NUM
easat-9787	270	14	but	but	CCONJ
easat-9787	270	15	bg	bg	PROPN
easat-9787	270	16	maintains	maintain	VERB
easat-9787	270	17	a	a	DET
easat-9787	270	18	relatively	relatively	ADV
easat-9787	270	19	higher	high	ADJ
easat-9787	270	20	power	power	NOUN
easat-9787	270	21	of	of	ADP
easat-9787	270	22	0.55	0.55	NUM
easat-9787	270	23	.	.	PUNCT
easat-9787	271	1	these	these	DET
easat-9787	271	2	results	result	NOUN
easat-9787	271	3	suggest	suggest	VERB
easat-9787	271	4	that	that	SCONJ
easat-9787	271	5	the	the	DET
easat-9787	271	6	bg	bg	PROPN
easat-9787	271	7	test	test	NOUN
easat-9787	271	8	is	be	AUX
easat-9787	271	9	stronger	strong	ADJ
easat-9787	271	10	resistant	resistant	ADJ
easat-9787	271	11	to	to	ADP
easat-9787	271	12	information	information	NOUN
easat-9787	271	13	loss	loss	NOUN
easat-9787	271	14	under	under	ADP
easat-9787	271	15	aggregation	aggregation	NOUN
easat-9787	271	16	and	and	CCONJ
easat-9787	271	17	more	more	ADV
easat-9787	271	18	capable	capable	ADJ
easat-9787	271	19	of	of	ADP
easat-9787	271	20	detecting	detect	VERB
easat-9787	271	21	autocorrelation	autocorrelation	NOUN
easat-9787	271	22	under	under	ADP
easat-9787	271	23	such	such	ADJ
easat-9787	271	24	conditions	condition	NOUN
easat-9787	271	25	.	.	PUNCT
easat-9787	272	1	the	the	DET
easat-9787	272	2	dw	dw	PROPN
easat-9787	272	3	test	test	NOUN
easat-9787	272	4	,	,	PUNCT
easat-9787	272	5	seriously	seriously	ADV
easat-9787	272	6	fixated	fixated	ADJ
easat-9787	272	7	on	on	ADP
easat-9787	272	8	first	first	ADJ
easat-9787	272	9	-	-	PUNCT
easat-9787	272	10	order	order	NOUN
easat-9787	272	11	serial	serial	ADJ
easat-9787	272	12	correlation	correlation	NOUN
easat-9787	272	13	and	and	CCONJ
easat-9787	272	14	sensitive	sensitive	ADJ
easat-9787	272	15	to	to	ADP
easat-9787	272	16	smoothing	smooth	VERB
easat-9787	272	17	of	of	ADP
easat-9787	272	18	the	the	DET
easat-9787	272	19	residuals	residual	NOUN
easat-9787	272	20	,	,	PUNCT
easat-9787	272	21	is	be	AUX
easat-9787	272	22	disproportionately	disproportionately	ADV
easat-9787	272	23	damaged	damage	VERB
easat-9787	272	24	by	by	ADP
easat-9787	272	25	temporal	temporal	ADJ
easat-9787	272	26	aggregation	aggregation	NOUN
easat-9787	272	27	.	.	PUNCT
easat-9787	273	1	thus	thus	ADV
easat-9787	273	2	,	,	PUNCT
easat-9787	273	3	in	in	ADP
easat-9787	273	4	applied	applied	ADJ
easat-9787	273	5	usage	usage	NOUN
easat-9787	273	6	with	with	ADP
easat-9787	273	7	aggregated	aggregated	ADJ
easat-9787	273	8	data	datum	NOUN
easat-9787	273	9	,	,	PUNCT
easat-9787	273	10	especially	especially	ADV
easat-9787	273	11	where	where	SCONJ
easat-9787	273	12	modest	modest	ADJ
easat-9787	273	13	autocorrelation	autocorrelation	NOUN
easat-9787	273	14	would	would	AUX
easat-9787	273	15	be	be	AUX
easat-9787	273	16	expected	expect	VERB
easat-9787	273	17	,	,	PUNCT
easat-9787	273	18	the	the	DET
easat-9787	273	19	bg	bg	PROPN
easat-9787	273	20	test	test	NOUN
easat-9787	273	21	appears	appear	VERB
easat-9787	273	22	to	to	PART
easat-9787	273	23	offer	offer	VERB
easat-9787	273	24	a	a	DET
easat-9787	273	25	superior	superior	ADJ
easat-9787	273	26	alternative	alternative	NOUN
easat-9787	273	27	to	to	ADP
easat-9787	273	28	the	the	DET
easat-9787	273	29	dw	dw	PROPN
easat-9787	273	30	statistic	statistic	PROPN
easat-9787	273	31	.	.	PUNCT
easat-9787	274	1	this	this	DET
easat-9787	274	2	relative	relative	ADJ
easat-9787	274	3	outcome	outcome	NOUN
easat-9787	274	4	further	far	ADV
easat-9787	274	5	supports	support	VERB
easat-9787	274	6	the	the	DET
easat-9787	274	7	significance	significance	NOUN
easat-9787	274	8	of	of	ADP
easat-9787	274	9	test	test	NOUN
easat-9787	274	10	selection	selection	NOUN
easat-9787	274	11	with	with	ADP
easat-9787	274	12	time	time	NOUN
easat-9787	274	13	series	series	NOUN
easat-9787	274	14	diagnostics	diagnostic	NOUN
easat-9787	274	15	at	at	ADP
easat-9787	274	16	various	various	ADJ
easat-9787	274	17	data	datum	NOUN
easat-9787	274	18	frequencies	frequency	NOUN
easat-9787	274	19	.	.	PUNCT
easat-9787	275	1	table	table	NOUN
easat-9787	275	2	5	5	NUM
easat-9787	275	3	explores	explore	NOUN
easat-9787	275	4	how	how	SCONJ
easat-9787	275	5	model	model	ADJ
easat-9787	275	6	misspecification	misspecification	NOUN
easat-9787	275	7	and	and	CCONJ
easat-9787	275	8	nonlinear	nonlinear	ADJ
easat-9787	275	9	data	data	NOUN
easat-9787	275	10	transformations	transformation	NOUN
easat-9787	275	11	further	far	ADV
easat-9787	275	12	weaken	weaken	VERB
easat-9787	275	13	the	the	DET
easat-9787	275	14	power	power	NOUN
easat-9787	275	15	of	of	ADP
easat-9787	275	16	the	the	DET
easat-9787	275	17	durbin	durbin	NOUN
easat-9787	275	18	-	-	PUNCT
easat-9787	275	19	watson	watson	NOUN
easat-9787	275	20	(	(	PUNCT
easat-9787	275	21	dw	dw	NOUN
easat-9787	275	22	)	)	PUNCT
easat-9787	275	23	test	test	NOUN
easat-9787	275	24	under	under	ADP
easat-9787	275	25	temporal	temporal	ADJ
easat-9787	275	26	aggregation	aggregation	NOUN
easat-9787	275	27	,	,	PUNCT
easat-9787	275	28	using	use	VERB
easat-9787	275	29	a	a	DET
easat-9787	275	30	fixed	fix	VERB
easat-9787	275	31	sample	sample	NOUN
easat-9787	275	32	size	size	NOUN
easat-9787	275	33	of	of	ADP
easat-9787	275	34	and	and	CCONJ
easat-9787	275	35	monthly	monthly	ADJ
easat-9787	275	36	arithmetic	arithmetic	ADJ
easat-9787	275	37	averaging	averaging	NOUN
easat-9787	275	38	(	(	PUNCT
easat-9787	275	39	avg	avg	PROPN
easat-9787	275	40	)	)	PUNCT
easat-9787	275	41	.	.	PUNCT
easat-9787	276	1	236	236	NUM
easat-9787	276	2	edelweiss	edelweiss	PROPN
easat-9787	276	3	applied	apply	VERB
easat-9787	276	4	science	science	NOUN
easat-9787	276	5	and	and	CCONJ
easat-9787	276	6	technology	technology	NOUN
easat-9787	276	7	issn	issn	PROPN
easat-9787	276	8	:	:	PUNCT
easat-9787	276	9	2576	2576	NUM
easat-9787	276	10	-	-	SYM
easat-9787	276	11	8484	8484	NUM
easat-9787	276	12	vol	vol	NOUN
easat-9787	276	13	.	.	PROPN
easat-9787	277	1	9	9	NUM
easat-9787	277	2	,	,	PUNCT
easat-9787	277	3	no	no	INTJ
easat-9787	277	4	.	.	NOUN
easat-9787	277	5	9	9	NUM
easat-9787	277	6	:	:	SYM
easat-9787	277	7	226	226	NUM
easat-9787	277	8	-	-	SYM
easat-9787	277	9	244	244	NUM
easat-9787	277	10	,	,	PUNCT
easat-9787	277	11	2025	2025	NUM
easat-9787	277	12	doi	doi	NOUN
easat-9787	277	13	:	:	PUNCT
easat-9787	277	14	10.55214/2576	10.55214/2576	NUM
easat-9787	277	15	-	-	PUNCT
easat-9787	277	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	277	17	©	©	PROPN
easat-9787	277	18	2025	2025	NUM
easat-9787	277	19	by	by	ADP
easat-9787	277	20	the	the	DET
easat-9787	277	21	author	author	NOUN
easat-9787	277	22	;	;	PUNCT
easat-9787	277	23	licensee	licensee	PROPN
easat-9787	277	24	learning	learn	VERB
easat-9787	277	25	gate	gate	NOUN
easat-9787	277	26	table	table	NOUN
easat-9787	277	27	5	5	NUM
easat-9787	277	28	.	.	PUNCT
easat-9787	278	1	effect	effect	NOUN
easat-9787	278	2	of	of	ADP
easat-9787	278	3	misspecification	misspecification	NOUN
easat-9787	278	4	and	and	CCONJ
easat-9787	278	5	nonlinearity	nonlinearity	NOUN
easat-9787	278	6	on	on	ADP
easat-9787	278	7	dw	dw	PROPN
easat-9787	278	8	power	power	PROPN
easat-9787	278	9	(	(	PUNCT
easat-9787	278	10	t	t	NOUN
easat-9787	278	11	=	=	SYM
easat-9787	278	12	500	500	NUM
easat-9787	278	13	)	)	PUNCT
easat-9787	278	14	.	.	PUNCT
easat-9787	279	1	scenario	scenario	NOUN
easat-9787	279	2	aggregation	aggregation	PROPN
easat-9787	279	3	dw	dw	PROPN
easat-9787	279	4	power	power	PROPN
easat-9787	279	5	ar(2	ar(2	PROPN
easat-9787	279	6	)	)	PUNCT
easat-9787	279	7	correctly	correctly	ADV
easat-9787	279	8	specified	specify	VERB
easat-9787	279	9	monthly	monthly	ADJ
easat-9787	279	10	(	(	PUNCT
easat-9787	279	11	avg	avg	NOUN
easat-9787	279	12	)	)	PUNCT
easat-9787	279	13	0.29	0.29	NUM
easat-9787	279	14	ar(2	ar(2	PROPN
easat-9787	279	15	)	)	PUNCT
easat-9787	279	16	mis	mi	NOUN
easat-9787	279	17	-	-	VERB
easat-9787	279	18	specified	specified	ADJ
easat-9787	279	19	(	(	PUNCT
easat-9787	279	20	as	as	ADP
easat-9787	279	21	ar1	ar1	PROPN
easat-9787	279	22	)	)	PUNCT
easat-9787	279	23	monthly	monthly	ADJ
easat-9787	279	24	(	(	PUNCT
easat-9787	279	25	avg	avg	NOUN
easat-9787	279	26	)	)	PUNCT
easat-9787	279	27	0.17	0.17	NUM
easat-9787	279	28	garch(1,1	garch(1,1	NOUN
easat-9787	279	29	)	)	PUNCT
easat-9787	279	30	innovations	innovation	NOUN
easat-9787	279	31	monthly	monthly	ADJ
easat-9787	279	32	(	(	PUNCT
easat-9787	279	33	avg	avg	NOUN
easat-9787	279	34	)	)	PUNCT
easat-9787	279	35	0.14	0.14	NUM
easat-9787	279	36	log	log	NOUN
easat-9787	279	37	-	-	PUNCT
easat-9787	279	38	transformed	transform	VERB
easat-9787	279	39	series	series	NOUN
easat-9787	279	40	monthly	monthly	ADJ
easat-9787	279	41	(	(	PUNCT
easat-9787	279	42	avg	avg	NOUN
easat-9787	279	43	)	)	PUNCT
easat-9787	279	44	0.11	0.11	NUM
easat-9787	279	45	note	note	NOUN
easat-9787	279	46	:	:	PUNCT
easat-9787	279	47	all	all	DET
easat-9787	279	48	values	value	NOUN
easat-9787	279	49	are	be	AUX
easat-9787	279	50	based	base	VERB
easat-9787	279	51	on	on	ADP
easat-9787	279	52	1,000	1,000	NUM
easat-9787	279	53	monte	monte	PROPN
easat-9787	279	54	carlo	carlo	NOUN
easat-9787	279	55	replications	replication	NOUN
easat-9787	279	56	.	.	PUNCT
easat-9787	280	1	when	when	SCONJ
easat-9787	280	2	the	the	DET
easat-9787	280	3	ar(2	ar(2	PROPN
easat-9787	280	4	)	)	PUNCT
easat-9787	280	5	model	model	NOUN
easat-9787	280	6	is	be	AUX
easat-9787	280	7	correctly	correctly	ADV
easat-9787	280	8	specified	specify	VERB
easat-9787	280	9	,	,	PUNCT
easat-9787	280	10	the	the	DET
easat-9787	280	11	dw	dw	PROPN
easat-9787	280	12	test	test	NOUN
easat-9787	280	13	already	already	ADV
easat-9787	280	14	shows	show	VERB
easat-9787	280	15	low	low	ADJ
easat-9787	280	16	power	power	NOUN
easat-9787	280	17	at	at	ADP
easat-9787	280	18	0.29	0.29	NUM
easat-9787	280	19	.	.	PUNCT
easat-9787	281	1	however	however	ADV
easat-9787	281	2	,	,	PUNCT
easat-9787	281	3	when	when	SCONJ
easat-9787	281	4	the	the	DET
easat-9787	281	5	same	same	ADJ
easat-9787	281	6	ar(2	ar(2	NOUN
easat-9787	281	7	)	)	PUNCT
easat-9787	281	8	process	process	NOUN
easat-9787	281	9	is	be	AUX
easat-9787	281	10	misspecified	misspecifie	VERB
easat-9787	281	11	as	as	ADP
easat-9787	281	12	ar(1	ar(1	PROPN
easat-9787	281	13	)	)	PUNCT
easat-9787	281	14	,	,	PUNCT
easat-9787	281	15	power	power	NOUN
easat-9787	281	16	dips	dip	VERB
easat-9787	281	17	drastically	drastically	ADV
easat-9787	281	18	to	to	ADP
easat-9787	281	19	0.17	0.17	NUM
easat-9787	281	20	,	,	PUNCT
easat-9787	281	21	thus	thus	ADV
easat-9787	281	22	illustrating	illustrate	VERB
easat-9787	281	23	the	the	DET
easat-9787	281	24	implications	implication	NOUN
easat-9787	281	25	of	of	ADP
easat-9787	281	26	model	model	NOUN
easat-9787	281	27	misspecification	misspecification	NOUN
easat-9787	281	28	and	and	CCONJ
easat-9787	281	29	compounding	compound	VERB
easat-9787	281	30	on	on	ADP
easat-9787	281	31	each	each	DET
easat-9787	281	32	other	other	ADJ
easat-9787	281	33	.	.	PUNCT
easat-9787	282	1	the	the	DET
easat-9787	282	2	test	test	NOUN
easat-9787	282	3	performance	performance	NOUN
easat-9787	282	4	further	far	ADV
easat-9787	282	5	deteriorates	deteriorate	VERB
easat-9787	282	6	with	with	ADP
easat-9787	282	7	the	the	DET
easat-9787	282	8	addition	addition	NOUN
easat-9787	282	9	of	of	ADP
easat-9787	282	10	nonlinearities	nonlinearitie	NOUN
easat-9787	282	11	and	and	CCONJ
easat-9787	282	12	heteroskedasticity	heteroskedasticity	NOUN
easat-9787	282	13	.	.	PUNCT
easat-9787	283	1	with	with	ADP
easat-9787	283	2	the	the	DET
easat-9787	283	3	use	use	NOUN
easat-9787	283	4	of	of	ADP
easat-9787	283	5	log	log	NOUN
easat-9787	283	6	transformation	transformation	NOUN
easat-9787	283	7	on	on	ADP
easat-9787	283	8	the	the	DET
easat-9787	283	9	series	series	NOUN
easat-9787	283	10	,	,	PUNCT
easat-9787	283	11	dw	dw	PROPN
easat-9787	283	12	power	power	NOUN
easat-9787	283	13	drops	drop	VERB
easat-9787	283	14	to	to	ADP
easat-9787	283	15	0.11	0.11	NUM
easat-9787	283	16	and	and	CCONJ
easat-9787	283	17	with	with	ADP
easat-9787	283	18	the	the	DET
easat-9787	283	19	addition	addition	NOUN
easat-9787	283	20	of	of	ADP
easat-9787	283	21	garch(1,1	garch(1,1	NOUN
easat-9787	283	22	)	)	PUNCT
easat-9787	283	23	innovations	innovation	NOUN
easat-9787	283	24	,	,	PUNCT
easat-9787	283	25	the	the	DET
easat-9787	283	26	power	power	NOUN
easat-9787	283	27	dips	dip	VERB
easat-9787	283	28	to	to	ADP
easat-9787	283	29	0.14	0.14	NUM
easat-9787	283	30	.	.	PUNCT
easat-9787	284	1	these	these	DET
easat-9787	284	2	results	result	NOUN
easat-9787	284	3	show	show	VERB
easat-9787	284	4	that	that	SCONJ
easat-9787	284	5	aggregation	aggregation	NOUN
easat-9787	284	6	is	be	AUX
easat-9787	284	7	accompanied	accompany	VERB
easat-9787	284	8	by	by	ADP
easat-9787	284	9	data	datum	NOUN
easat-9787	284	10	structure	structure	NOUN
easat-9787	284	11	distortions	distortion	NOUN
easat-9787	284	12	to	to	PART
easat-9787	284	13	produce	produce	VERB
easat-9787	284	14	rather	rather	ADV
easat-9787	284	15	dubious	dubious	ADJ
easat-9787	284	16	results	result	NOUN
easat-9787	284	17	for	for	ADP
easat-9787	284	18	the	the	DET
easat-9787	284	19	dw	dw	PROPN
easat-9787	284	20	statistic	statistic	PROPN
easat-9787	284	21	.	.	PUNCT
easat-9787	285	1	while	while	SCONJ
easat-9787	285	2	temporal	temporal	ADJ
easat-9787	285	3	aggregation	aggregation	NOUN
easat-9787	285	4	diminishes	diminish	VERB
easat-9787	285	5	serial	serial	ADJ
easat-9787	285	6	correlation	correlation	NOUN
easat-9787	285	7	signals	signal	NOUN
easat-9787	285	8	only	only	ADV
easat-9787	285	9	,	,	PUNCT
easat-9787	285	10	its	its	PRON
easat-9787	285	11	occurrence	occurrence	NOUN
easat-9787	285	12	in	in	ADP
easat-9787	285	13	conjunction	conjunction	NOUN
easat-9787	285	14	with	with	ADP
easat-9787	285	15	misspecification	misspecification	NOUN
easat-9787	285	16	,	,	PUNCT
easat-9787	285	17	nonlinearity	nonlinearity	NOUN
easat-9787	285	18	,	,	PUNCT
easat-9787	285	19	or	or	CCONJ
easat-9787	285	20	time	time	NOUN
easat-9787	285	21	-	-	PUNCT
easat-9787	285	22	varying	vary	VERB
easat-9787	285	23	volatility	volatility	NOUN
easat-9787	285	24	may	may	AUX
easat-9787	285	25	render	render	VERB
easat-9787	285	26	the	the	DET
easat-9787	285	27	dw	dw	NOUN
easat-9787	285	28	test	test	NOUN
easat-9787	285	29	useless	useless	ADJ
easat-9787	285	30	.	.	PUNCT
easat-9787	286	1	this	this	PRON
easat-9787	286	2	also	also	ADV
easat-9787	286	3	helps	help	VERB
easat-9787	286	4	to	to	PART
easat-9787	286	5	reinforce	reinforce	VERB
easat-9787	286	6	the	the	DET
easat-9787	286	7	demand	demand	NOUN
easat-9787	286	8	for	for	ADP
easat-9787	286	9	caution	caution	NOUN
easat-9787	286	10	in	in	ADP
easat-9787	286	11	using	use	VERB
easat-9787	286	12	the	the	DET
easat-9787	286	13	dw	dw	PROPN
easat-9787	286	14	test	test	NOUN
easat-9787	286	15	in	in	ADP
easat-9787	286	16	real	real	ADJ
easat-9787	286	17	-	-	PUNCT
easat-9787	286	18	life	life	NOUN
easat-9787	286	19	scenarios	scenario	NOUN
easat-9787	286	20	with	with	ADP
easat-9787	286	21	real	real	ADJ
easat-9787	286	22	-	-	PUNCT
easat-9787	286	23	world	world	NOUN
easat-9787	286	24	complications	complication	NOUN
easat-9787	286	25	and	and	CCONJ
easat-9787	286	26	underscores	underscore	VERB
easat-9787	286	27	the	the	DET
easat-9787	286	28	importance	importance	NOUN
easat-9787	286	29	of	of	ADP
easat-9787	286	30	diagnostic	diagnostic	ADJ
easat-9787	286	31	accuracy	accuracy	NOUN
easat-9787	286	32	in	in	ADP
easat-9787	286	33	handling	handling	NOUN
easat-9787	286	34	aggregated	aggregate	VERB
easat-9787	286	35	or	or	CCONJ
easat-9787	286	36	faked	fake	VERB
easat-9787	286	37	time	time	NOUN
easat-9787	286	38	series	series	NOUN
easat-9787	286	39	.	.	PUNCT
easat-9787	287	1	the	the	DET
easat-9787	287	2	findings	finding	NOUN
easat-9787	287	3	indicate	indicate	VERB
easat-9787	287	4	that	that	SCONJ
easat-9787	287	5	both	both	DET
easat-9787	287	6	model	model	NOUN
easat-9787	287	7	misspecification	misspecification	NOUN
easat-9787	287	8	and	and	CCONJ
easat-9787	287	9	nonlinearities	nonlinearitie	NOUN
easat-9787	287	10	in	in	ADP
easat-9787	287	11	the	the	DET
easat-9787	287	12	data	datum	NOUN
easat-9787	287	13	degrade	degrade	VERB
easat-9787	287	14	the	the	DET
easat-9787	287	15	power	power	NOUN
easat-9787	287	16	of	of	ADP
easat-9787	287	17	the	the	DET
easat-9787	287	18	durbin	durbin	NOUN
easat-9787	287	19	-	-	PUNCT
easat-9787	287	20	watson	watson	NOUN
easat-9787	287	21	(	(	PUNCT
easat-9787	287	22	dw	dw	NOUN
easat-9787	287	23	)	)	PUNCT
easat-9787	287	24	test	test	NOUN
easat-9787	287	25	quite	quite	ADV
easat-9787	287	26	severely	severely	ADV
easat-9787	287	27	,	,	PUNCT
easat-9787	287	28	even	even	ADV
easat-9787	287	29	more	more	ADV
easat-9787	287	30	so	so	ADV
easat-9787	287	31	under	under	ADP
easat-9787	287	32	temporal	temporal	ADJ
easat-9787	287	33	aggregation	aggregation	NOUN
easat-9787	287	34	.	.	PUNCT
easat-9787	288	1	that	that	PRON
easat-9787	288	2	is	be	AUX
easat-9787	288	3	,	,	PUNCT
easat-9787	288	4	when	when	SCONJ
easat-9787	288	5	the	the	DET
easat-9787	288	6	true	true	ADJ
easat-9787	288	7	ar(2	ar(2	PROPN
easat-9787	288	8	)	)	PUNCT
easat-9787	288	9	data	data	NOUN
easat-9787	288	10	-	-	PUNCT
easat-9787	288	11	generating	generate	VERB
easat-9787	288	12	process	process	NOUN
easat-9787	288	13	(	(	PUNCT
easat-9787	288	14	dgp	dgp	NOUN
easat-9787	288	15	)	)	PUNCT
easat-9787	288	16	was	be	AUX
easat-9787	288	17	misspecified	misspecifie	VERB
easat-9787	288	18	as	as	ADP
easat-9787	288	19	an	an	DET
easat-9787	288	20	ar(1	ar(1	NOUN
easat-9787	288	21	)	)	PUNCT
easat-9787	288	22	,	,	PUNCT
easat-9787	288	23	test	test	NOUN
easat-9787	288	24	power	power	NOUN
easat-9787	288	25	declined	decline	VERB
easat-9787	288	26	drastically	drastically	ADV
easat-9787	288	27	,	,	PUNCT
easat-9787	288	28	e.g.	e.g.	ADV
easat-9787	288	29	,	,	PUNCT
easat-9787	288	30	under	under	ADP
easat-9787	288	31	monthly	monthly	ADJ
easat-9787	288	32	averaging	averaging	NOUN
easat-9787	288	33	with	with	ADP
easat-9787	288	34	sample	sample	NOUN
easat-9787	288	35	size	size	NOUN
easat-9787	288	36	t	t	PROPN
easat-9787	288	37	=	=	SYM
easat-9787	288	38	500	500	NUM
easat-9787	288	39	,	,	PUNCT
easat-9787	288	40	power	power	NOUN
easat-9787	288	41	fell	fall	VERB
easat-9787	288	42	from	from	ADP
easat-9787	288	43	0.29	0.29	NUM
easat-9787	288	44	(	(	PUNCT
easat-9787	288	45	correct	correct	ADJ
easat-9787	288	46	specification	specification	NOUN
easat-9787	288	47	)	)	PUNCT
easat-9787	288	48	to	to	ADP
easat-9787	288	49	a	a	DET
easat-9787	288	50	paltry	paltry	NOUN
easat-9787	288	51	0.17	0.17	NUM
easat-9787	288	52	(	(	PUNCT
easat-9787	288	53	misspecified	misspecified	ADJ
easat-9787	288	54	)	)	PUNCT
easat-9787	288	55	.	.	PUNCT
easat-9787	289	1	furthermore	furthermore	ADV
easat-9787	289	2	,	,	PUNCT
easat-9787	289	3	the	the	DET
easat-9787	289	4	application	application	NOUN
easat-9787	289	5	of	of	ADP
easat-9787	289	6	a	a	DET
easat-9787	289	7	nonlinear	nonlinear	ADJ
easat-9787	289	8	transformation	transformation	NOUN
easat-9787	289	9	(	(	PUNCT
easat-9787	289	10	log(1	log(1	NOUN
easat-9787	289	11	+	+	CCONJ
easat-9787	289	12	yₜ	yₜ	NOUN
easat-9787	289	13	)	)	PUNCT
easat-9787	289	14	)	)	PUNCT
easat-9787	289	15	together	together	ADV
easat-9787	289	16	with	with	ADP
easat-9787	289	17	garch(1,1	garch(1,1	NOUN
easat-9787	289	18	)	)	PUNCT
easat-9787	289	19	innovations	innovation	NOUN
easat-9787	289	20	generated	generate	VERB
easat-9787	289	21	even	even	ADV
easat-9787	289	22	further	further	ADJ
easat-9787	289	23	deterioration	deterioration	NOUN
easat-9787	289	24	in	in	ADP
easat-9787	289	25	dw	dw	PROPN
easat-9787	289	26	test	test	NOUN
easat-9787	289	27	performance	performance	NOUN
easat-9787	289	28	,	,	PUNCT
easat-9787	289	29	especially	especially	ADV
easat-9787	289	30	when	when	SCONJ
easat-9787	289	31	the	the	DET
easat-9787	289	32	data	datum	NOUN
easat-9787	289	33	were	be	AUX
easat-9787	289	34	aggregated	aggregate	VERB
easat-9787	289	35	.	.	PUNCT
easat-9787	290	1	our	our	PRON
easat-9787	290	2	results	result	NOUN
easat-9787	290	3	highlight	highlight	VERB
easat-9787	290	4	the	the	DET
easat-9787	290	5	fact	fact	NOUN
easat-9787	290	6	that	that	SCONJ
easat-9787	290	7	temporal	temporal	ADJ
easat-9787	290	8	aggregation	aggregation	NOUN
easat-9787	290	9	,	,	PUNCT
easat-9787	290	10	when	when	SCONJ
easat-9787	290	11	combined	combine	VERB
easat-9787	290	12	with	with	ADP
easat-9787	290	13	model	model	NOUN
easat-9787	290	14	misspecification	misspecification	NOUN
easat-9787	290	15	or	or	CCONJ
easat-9787	290	16	nonlinear	nonlinear	ADJ
easat-9787	290	17	dynamics	dynamic	NOUN
easat-9787	290	18	,	,	PUNCT
easat-9787	290	19	can	can	AUX
easat-9787	290	20	significantly	significantly	ADV
easat-9787	290	21	reduce	reduce	VERB
easat-9787	290	22	the	the	DET
easat-9787	290	23	reliability	reliability	NOUN
easat-9787	290	24	and	and	CCONJ
easat-9787	290	25	diagnostic	diagnostic	ADJ
easat-9787	290	26	value	value	NOUN
easat-9787	290	27	of	of	ADP
easat-9787	290	28	standard	standard	ADJ
easat-9787	290	29	linear	linear	ADJ
easat-9787	290	30	tests	test	NOUN
easat-9787	290	31	like	like	ADP
easat-9787	290	32	dw	dw	PROPN
easat-9787	290	33	.	.	PROPN
easat-9787	290	34	table	table	NOUN
easat-9787	290	35	6	6	NUM
easat-9787	290	36	the	the	DET
easat-9787	290	37	table	table	NOUN
easat-9787	290	38	displays	display	VERB
easat-9787	290	39	simulation	simulation	NOUN
easat-9787	290	40	-	-	PUNCT
easat-9787	290	41	based	base	VERB
easat-9787	290	42	averages	average	NOUN
easat-9787	290	43	for	for	ADP
easat-9787	290	44	the	the	DET
easat-9787	290	45	durbin	durbin	NOUN
easat-9787	290	46	-	-	PUNCT
easat-9787	290	47	watson	watson	NOUN
easat-9787	290	48	,	,	PUNCT
easat-9787	290	49	breusch	breusch	NOUN
easat-9787	290	50	-	-	PUNCT
easat-9787	290	51	godfrey	godfrey	NOUN
easat-9787	290	52	,	,	PUNCT
easat-9787	290	53	and	and	CCONJ
easat-9787	290	54	ljung	ljung	ADJ
easat-9787	290	55	-	-	PUNCT
easat-9787	290	56	box	box	NOUN
easat-9787	290	57	test	test	NOUN
easat-9787	290	58	statistics	statistic	NOUN
easat-9787	290	59	and	and	CCONJ
easat-9787	290	60	p	p	NOUN
easat-9787	290	61	-	-	PUNCT
easat-9787	290	62	values	value	NOUN
easat-9787	290	63	across	across	ADP
easat-9787	290	64	different	different	ADJ
easat-9787	290	65	autocorrelation	autocorrelation	NOUN
easat-9787	290	66	strengths	strength	NOUN
easat-9787	290	67	(	(	PUNCT
easat-9787	290	68	ρ	ρ	NOUN
easat-9787	290	69	=	=	NOUN
easat-9787	290	70	0.2	0.2	NUM
easat-9787	290	71	,	,	PUNCT
easat-9787	290	72	0.5	0.5	NUM
easat-9787	290	73	)	)	PUNCT
easat-9787	290	74	and	and	CCONJ
easat-9787	290	75	levels	level	NOUN
easat-9787	290	76	of	of	ADP
easat-9787	290	77	temporal	temporal	ADJ
easat-9787	290	78	aggregation	aggregation	NOUN
easat-9787	290	79	(	(	PUNCT
easat-9787	290	80	none	none	NOUN
easat-9787	290	81	,	,	PUNCT
easat-9787	290	82	weekly	weekly	ADJ
easat-9787	290	83	,	,	PUNCT
easat-9787	290	84	monthly	monthly	ADJ
easat-9787	290	85	)	)	PUNCT
easat-9787	290	86	.	.	PUNCT
easat-9787	291	1	table	table	NOUN
easat-9787	291	2	6	6	NUM
easat-9787	291	3	.	.	PUNCT
easat-9787	291	4	simulated	simulate	VERB
easat-9787	291	5	diagnostic	diagnostic	ADJ
easat-9787	291	6	comparison	comparison	NOUN
easat-9787	291	7	.	.	PUNCT
easat-9787	292	1	autocorrelation	autocorrelation	NOUN
easat-9787	292	2	(	(	PUNCT
easat-9787	292	3	rho	rho	ADJ
easat-9787	292	4	)	)	PUNCT
easat-9787	292	5	aggregation	aggregation	NOUN
easat-9787	292	6	average	average	NOUN
easat-9787	292	7	dw	dw	PROPN
easat-9787	292	8	bg	bg	PROPN
easat-9787	292	9	stat	stat	PROPN
easat-9787	292	10	bg	bg	PROPN
easat-9787	292	11	p	p	ADJ
easat-9787	292	12	-	-	PUNCT
easat-9787	292	13	value	value	NOUN
easat-9787	292	14	ljung	ljung	ADJ
easat-9787	292	15	-	-	PUNCT
easat-9787	292	16	box	box	NOUN
easat-9787	292	17	stat	stat	PROPN
easat-9787	292	18	ljung	ljung	PROPN
easat-9787	292	19	-	-	PUNCT
easat-9787	292	20	box	box	NOUN
easat-9787	292	21	p	p	NOUN
easat-9787	292	22	-	-	PUNCT
easat-9787	292	23	value	value	NOUN
easat-9787	292	24	0.2	0.2	NUM
easat-9787	292	25	none	none	NOUN
easat-9787	292	26	1.993693	1.993693	NUM
easat-9787	292	27	4.909715	4.909715	NUM
easat-9787	292	28	0.504009	0.504009	NUM
easat-9787	292	29	4.022674	4.022674	NUM
easat-9787	292	30	0.599315	0.599315	NUM
easat-9787	292	31	0.2	0.2	NUM
easat-9787	292	32	weekly	weekly	ADJ
easat-9787	292	33	(	(	PUNCT
easat-9787	292	34	5	5	NUM
easat-9787	292	35	)	)	PUNCT
easat-9787	292	36	1.97679	1.97679	NUM
easat-9787	292	37	5.212822	5.212822	NUM
easat-9787	292	38	0.482759	0.482759	NUM
easat-9787	292	39	4.184281	4.184281	NUM
easat-9787	292	40	0.584331	0.584331	NUM
easat-9787	292	41	0.2	0.2	NUM
easat-9787	292	42	monthly	monthly	ADJ
easat-9787	292	43	(	(	PUNCT
easat-9787	292	44	20	20	NUM
easat-9787	292	45	)	)	PUNCT
easat-9787	292	46	1.909493	1.909493	NUM
easat-9787	293	1	5.057896	5.057896	NUM
easat-9787	293	2	0.473267	0.473267	NUM
easat-9787	293	3	4.180951	4.180951	NUM
easat-9787	293	4	0.578847	0.578847	NUM
easat-9787	293	5	0.5	0.5	NUM
easat-9787	293	6	none	none	NOUN
easat-9787	293	7	1.990634	1.990634	NUM
easat-9787	293	8	5.314454	5.314454	NUM
easat-9787	293	9	0.467041	0.467041	NUM
easat-9787	293	10	4.245267	4.245267	NUM
easat-9787	293	11	0.577126	0.577126	NUM
easat-9787	293	12	0.5	0.5	NUM
easat-9787	293	13	weekly	weekly	NOUN
easat-9787	293	14	(	(	PUNCT
easat-9787	293	15	5	5	NUM
easat-9787	293	16	)	)	PUNCT
easat-9787	293	17	1.966874	1.966874	NUM
easat-9787	293	18	5.057565	5.057565	NUM
easat-9787	293	19	0.50071	0.50071	NUM
easat-9787	293	20	4.262754	4.262754	NUM
easat-9787	293	21	0.582179	0.582179	NUM
easat-9787	293	22	0.5	0.5	NUM
easat-9787	293	23	monthly	monthly	ADJ
easat-9787	293	24	(	(	PUNCT
easat-9787	293	25	20	20	NUM
easat-9787	293	26	)	)	PUNCT
easat-9787	293	27	1.929161	1.929161	NUM
easat-9787	293	28	5.265014	5.265014	NUM
easat-9787	293	29	0.453831	0.453831	NUM
easat-9787	293	30	4.379405	4.379405	NUM
easat-9787	293	31	0.556235	0.556235	NUM
easat-9787	293	32	0.8	0.8	NUM
easat-9787	293	33	none	none	NOUN
easat-9787	293	34	1.986801	1.986801	NUM
easat-9787	293	35	5.204159	5.204159	NUM
easat-9787	293	36	0.495335	0.495335	NUM
easat-9787	293	37	4.167812	4.167812	NUM
easat-9787	293	38	0.594476	0.594476	NUM
easat-9787	293	39	0.8	0.8	NUM
easat-9787	293	40	weekly	weekly	ADJ
easat-9787	293	41	(	(	PUNCT
easat-9787	293	42	5	5	NUM
easat-9787	293	43	)	)	PUNCT
easat-9787	293	44	1.853601	1.853601	NUM
easat-9787	293	45	6.550339	6.550339	NUM
easat-9787	293	46	0.371353	0.371353	NUM
easat-9787	293	47	5.702198	5.702198	NUM
easat-9787	293	48	0.457943	0.457943	NUM
easat-9787	293	49	0.8	0.8	NUM
easat-9787	293	50	monthly	monthly	ADJ
easat-9787	293	51	(	(	PUNCT
easat-9787	293	52	20	20	NUM
easat-9787	293	53	)	)	PUNCT
easat-9787	293	54	1.897556	1.897556	NUM
easat-9787	293	55	4.939552	4.939552	NUM
easat-9787	293	56	0.490706	0.490706	NUM
easat-9787	293	57	4.228396	4.228396	NUM
easat-9787	293	58	0.577731	0.577731	NUM
easat-9787	293	59	note	note	NOUN
easat-9787	293	60	:	:	PUNCT
easat-9787	293	61	all	all	DET
easat-9787	293	62	values	value	NOUN
easat-9787	293	63	are	be	AUX
easat-9787	293	64	based	base	VERB
easat-9787	293	65	on	on	ADP
easat-9787	293	66	1,000	1,000	NUM
easat-9787	293	67	monte	monte	PROPN
easat-9787	293	68	carlo	carlo	NOUN
easat-9787	293	69	replications	replication	NOUN
easat-9787	293	70	.	.	PUNCT
easat-9787	294	1	despite	despite	SCONJ
easat-9787	294	2	known	know	VERB
easat-9787	294	3	autocorrelation	autocorrelation	NOUN
easat-9787	294	4	being	be	AUX
easat-9787	294	5	present	present	ADJ
easat-9787	294	6	in	in	ADP
easat-9787	294	7	the	the	DET
easat-9787	294	8	data	data	NOUN
easat-9787	294	9	-	-	PUNCT
easat-9787	294	10	generating	generate	VERB
easat-9787	294	11	process	process	NOUN
easat-9787	294	12	,	,	PUNCT
easat-9787	294	13	the	the	DET
easat-9787	294	14	durbin	durbin	ADJ
easat-9787	294	15	-	-	PUNCT
easat-9787	294	16	watson	watson	PROPN
easat-9787	294	17	statistic	statistic	NOUN
easat-9787	294	18	consistently	consistently	ADV
easat-9787	294	19	approaches	approach	VERB
easat-9787	294	20	2.0	2.0	NUM
easat-9787	294	21	as	as	ADP
easat-9787	294	22	aggregation	aggregation	NOUN
easat-9787	294	23	increases	increase	NOUN
easat-9787	294	24	,	,	PUNCT
easat-9787	294	25	signaling	signal	VERB
easat-9787	294	26	erosion	erosion	NOUN
easat-9787	294	27	of	of	ADP
easat-9787	294	28	power	power	NOUN
easat-9787	294	29	,	,	PUNCT
easat-9787	294	30	especially	especially	ADV
easat-9787	294	31	for	for	ADP
easat-9787	294	32	monthly	monthly	ADJ
easat-9787	294	33	data	datum	NOUN
easat-9787	294	34	.	.	PUNCT
easat-9787	295	1	the	the	DET
easat-9787	295	2	breusch	breusch	NOUN
easat-9787	295	3	-	-	PUNCT
easat-9787	295	4	godfrey	godfrey	PROPN
easat-9787	295	5	and	and	CCONJ
easat-9787	295	6	ljung	ljung	ADJ
easat-9787	295	7	-	-	PUNCT
easat-9787	295	8	box	box	NOUN
easat-9787	295	9	tests	test	NOUN
easat-9787	295	10	,	,	PUNCT
easat-9787	295	11	on	on	ADP
easat-9787	295	12	the	the	DET
easat-9787	295	13	other	other	ADJ
easat-9787	295	14	hand	hand	NOUN
easat-9787	295	15	,	,	PUNCT
easat-9787	295	16	possess	possess	VERB
easat-9787	295	17	quite	quite	ADV
easat-9787	295	18	insensitive	insensitive	ADJ
easat-9787	295	19	237	237	NUM
easat-9787	295	20	edelweiss	edelweiss	PROPN
easat-9787	295	21	applied	apply	VERB
easat-9787	295	22	science	science	NOUN
easat-9787	295	23	and	and	CCONJ
easat-9787	295	24	technology	technology	NOUN
easat-9787	295	25	issn	issn	PROPN
easat-9787	295	26	:	:	PUNCT
easat-9787	295	27	2576	2576	NUM
easat-9787	295	28	-	-	SYM
easat-9787	295	29	8484	8484	NUM
easat-9787	295	30	vol	vol	NOUN
easat-9787	295	31	.	.	PROPN
easat-9787	296	1	9	9	NUM
easat-9787	296	2	,	,	PUNCT
easat-9787	296	3	no	no	INTJ
easat-9787	296	4	.	.	NOUN
easat-9787	296	5	9	9	NUM
easat-9787	296	6	:	:	SYM
easat-9787	296	7	226	226	NUM
easat-9787	296	8	-	-	SYM
easat-9787	296	9	244	244	NUM
easat-9787	296	10	,	,	PUNCT
easat-9787	296	11	2025	2025	NUM
easat-9787	296	12	doi	doi	NOUN
easat-9787	296	13	:	:	PUNCT
easat-9787	296	14	10.55214/2576	10.55214/2576	NUM
easat-9787	296	15	-	-	PUNCT
easat-9787	296	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	296	17	©	©	PROPN
easat-9787	296	18	2025	2025	NUM
easat-9787	296	19	by	by	ADP
easat-9787	296	20	the	the	DET
easat-9787	296	21	author	author	NOUN
easat-9787	296	22	;	;	PUNCT
easat-9787	296	23	licensee	licensee	PROPN
easat-9787	296	24	learning	learning	PROPN
easat-9787	296	25	gate	gate	PROPN
easat-9787	296	26	test	test	NOUN
easat-9787	296	27	statistics	statistic	NOUN
easat-9787	296	28	and	and	CCONJ
easat-9787	296	29	p	p	NOUN
easat-9787	296	30	-	-	PUNCT
easat-9787	296	31	values	value	NOUN
easat-9787	296	32	to	to	AUX
easat-9787	296	33	aggregation	aggregation	NOUN
easat-9787	296	34	,	,	PUNCT
easat-9787	296	35	implying	imply	VERB
easat-9787	296	36	greater	great	ADJ
easat-9787	296	37	robustness	robustness	NOUN
easat-9787	296	38	to	to	ADP
easat-9787	296	39	detecting	detect	VERB
easat-9787	296	40	serial	serial	ADJ
easat-9787	296	41	correlation	correlation	NOUN
easat-9787	296	42	even	even	ADV
easat-9787	296	43	after	after	ADP
easat-9787	296	44	aggregation	aggregation	NOUN
easat-9787	296	45	.	.	PUNCT
easat-9787	297	1	this	this	DET
easat-9787	297	2	verifies	verifie	NOUN
easat-9787	297	3	that	that	SCONJ
easat-9787	297	4	although	although	SCONJ
easat-9787	297	5	the	the	DET
easat-9787	297	6	dw	dw	NOUN
easat-9787	297	7	test	test	NOUN
easat-9787	297	8	has	have	AUX
easat-9787	297	9	lost	lose	VERB
easat-9787	297	10	sensitivity	sensitivity	NOUN
easat-9787	297	11	in	in	ADP
easat-9787	297	12	the	the	DET
easat-9787	297	13	case	case	NOUN
easat-9787	297	14	of	of	ADP
easat-9787	297	15	aggregation	aggregation	NOUN
easat-9787	297	16	,	,	PUNCT
easat-9787	297	17	the	the	DET
easat-9787	297	18	bg	bg	NOUN
easat-9787	297	19	and	and	CCONJ
easat-9787	297	20	lb	lb	NUM
easat-9787	297	21	tests	test	NOUN
easat-9787	297	22	are	be	AUX
easat-9787	297	23	still	still	ADV
easat-9787	297	24	stronger	strong	ADJ
easat-9787	297	25	and	and	CCONJ
easat-9787	297	26	can	can	AUX
easat-9787	297	27	be	be	AUX
easat-9787	297	28	favored	favor	VERB
easat-9787	297	29	in	in	ADP
easat-9787	297	30	practical	practical	ADJ
easat-9787	297	31	use	use	NOUN
easat-9787	297	32	with	with	ADP
easat-9787	297	33	temporally	temporally	ADV
easat-9787	297	34	aggregated	aggregate	VERB
easat-9787	297	35	data	datum	NOUN
easat-9787	297	36	.	.	PUNCT
easat-9787	298	1	if	if	SCONJ
easat-9787	298	2	you	you	PRON
easat-9787	298	3	want	want	VERB
easat-9787	298	4	to	to	PART
easat-9787	298	5	take	take	VERB
easat-9787	298	6	this	this	DET
easat-9787	298	7	analysis	analysis	NOUN
easat-9787	298	8	further	far	ADV
easat-9787	298	9	,	,	PUNCT
easat-9787	298	10	for	for	ADP
easat-9787	298	11	example	example	NOUN
easat-9787	298	12	,	,	PUNCT
easat-9787	298	13	to	to	ADP
easat-9787	298	14	higher	high	ADJ
easat-9787	298	15	ρ	ρ	NOUN
easat-9787	298	16	values	value	NOUN
easat-9787	298	17	or	or	CCONJ
easat-9787	298	18	other	other	ADJ
easat-9787	298	19	model	model	NOUN
easat-9787	298	20	types	type	NOUN
easat-9787	298	21	(	(	PUNCT
easat-9787	298	22	e.g.	e.g.	ADV
easat-9787	298	23	,	,	PUNCT
easat-9787	298	24	arma	arma	PROPN
easat-9787	298	25	)	)	PUNCT
easat-9787	298	26	,	,	PUNCT
easat-9787	298	27	please	please	INTJ
easat-9787	298	28	let	let	VERB
easat-9787	298	29	me	i	PRON
easat-9787	298	30	know	know	VERB
easat-9787	298	31	.	.	PUNCT
easat-9787	299	1	for	for	ADP
easat-9787	299	2	a	a	DET
easat-9787	299	3	better	well	ADJ
easat-9787	299	4	understanding	understanding	NOUN
easat-9787	299	5	of	of	ADP
easat-9787	299	6	the	the	DET
easat-9787	299	7	limitations	limitation	NOUN
easat-9787	299	8	of	of	ADP
easat-9787	299	9	the	the	DET
easat-9787	299	10	durbin	durbin	NOUN
easat-9787	299	11	-	-	PUNCT
easat-9787	299	12	watson	watson	NOUN
easat-9787	299	13	(	(	PUNCT
easat-9787	299	14	dw	dw	NOUN
easat-9787	299	15	)	)	PUNCT
easat-9787	299	16	test	test	NOUN
easat-9787	299	17	on	on	ADP
easat-9787	299	18	temporal	temporal	ADJ
easat-9787	299	19	aggregation	aggregation	NOUN
easat-9787	299	20	,	,	PUNCT
easat-9787	299	21	we	we	PRON
easat-9787	299	22	compared	compare	VERB
easat-9787	299	23	its	its	PRON
easat-9787	299	24	performance	performance	NOUN
easat-9787	299	25	with	with	ADP
easat-9787	299	26	the	the	DET
easat-9787	299	27	breusch	breusch	NOUN
easat-9787	299	28	-	-	PUNCT
easat-9787	299	29	godfrey	godfrey	NOUN
easat-9787	299	30	(	(	PUNCT
easat-9787	299	31	bg	bg	PROPN
easat-9787	299	32	)	)	PUNCT
easat-9787	299	33	and	and	CCONJ
easat-9787	299	34	ljung	ljung	ADJ
easat-9787	299	35	-	-	PUNCT
easat-9787	299	36	box	box	NOUN
easat-9787	299	37	(	(	PUNCT
easat-9787	299	38	lb	lb	NOUN
easat-9787	299	39	)	)	PUNCT
easat-9787	299	40	tests	test	NOUN
easat-9787	299	41	under	under	ADP
easat-9787	299	42	identical	identical	ADJ
easat-9787	299	43	conditions	condition	NOUN
easat-9787	299	44	.	.	PUNCT
easat-9787	300	1	bg	bg	NOUN
easat-9787	300	2	and	and	CCONJ
easat-9787	300	3	lb	lb	NUM
easat-9787	300	4	tests	test	NOUN
easat-9787	300	5	were	be	AUX
easat-9787	300	6	found	find	VERB
easat-9787	300	7	to	to	PART
easat-9787	300	8	be	be	AUX
easat-9787	300	9	more	more	ADV
easat-9787	300	10	robust	robust	ADJ
easat-9787	300	11	to	to	ADP
easat-9787	300	12	aggregation	aggregation	NOUN
easat-9787	300	13	,	,	PUNCT
easat-9787	300	14	particularly	particularly	ADV
easat-9787	300	15	at	at	ADP
easat-9787	300	16	the	the	DET
easat-9787	300	17	weekly	weekly	ADJ
easat-9787	300	18	frequency	frequency	NOUN
easat-9787	300	19	.	.	PUNCT
easat-9787	301	1	as	as	ADP
easat-9787	301	2	an	an	DET
easat-9787	301	3	example	example	NOUN
easat-9787	301	4	,	,	PUNCT
easat-9787	301	5	for	for	ADP
easat-9787	301	6	the	the	DET
easat-9787	301	7	ar(1	ar(1	NOUN
easat-9787	301	8	)	)	PUNCT
easat-9787	301	9	case	case	NOUN
easat-9787	301	10	,	,	PUNCT
easat-9787	301	11	the	the	DET
easat-9787	301	12	power	power	NOUN
easat-9787	301	13	of	of	ADP
easat-9787	301	14	the	the	DET
easat-9787	301	15	bg	bg	PROPN
easat-9787	301	16	test	test	NOUN
easat-9787	301	17	under	under	ADP
easat-9787	301	18	monthly	monthly	ADJ
easat-9787	301	19	averaging	averaging	NOUN
easat-9787	301	20	was	be	AUX
easat-9787	301	21	approximately	approximately	ADV
easat-9787	301	22	0.55	0.55	NUM
easat-9787	301	23	,	,	PUNCT
easat-9787	301	24	significantly	significantly	ADV
easat-9787	301	25	ahead	ahead	ADV
easat-9787	301	26	of	of	ADP
easat-9787	301	27	the	the	DET
easat-9787	301	28	dw	dw	PROPN
easat-9787	301	29	test	test	NOUN
easat-9787	301	30	with	with	ADP
easat-9787	301	31	a	a	DET
easat-9787	301	32	power	power	NOUN
easat-9787	301	33	of	of	ADP
easat-9787	301	34	approximately	approximately	ADV
easat-9787	301	35	0.31	0.31	NUM
easat-9787	301	36	.	.	PUNCT
easat-9787	302	1	these	these	DET
easat-9787	302	2	results	result	NOUN
easat-9787	302	3	indicate	indicate	VERB
easat-9787	302	4	that	that	SCONJ
easat-9787	302	5	the	the	DET
easat-9787	302	6	dw	dw	PROPN
easat-9787	302	7	test	test	NOUN
easat-9787	302	8	is	be	AUX
easat-9787	302	9	disproportionately	disproportionately	ADV
easat-9787	302	10	sensitive	sensitive	ADJ
easat-9787	302	11	to	to	ADP
easat-9787	302	12	temporal	temporal	ADJ
easat-9787	302	13	aggregation	aggregation	NOUN
easat-9787	302	14	compared	compare	VERB
easat-9787	302	15	to	to	ADP
easat-9787	302	16	stronger	strong	ADJ
easat-9787	302	17	alternatives	alternative	NOUN
easat-9787	302	18	and	and	CCONJ
easat-9787	302	19	that	that	SCONJ
easat-9787	302	20	one	one	PRON
easat-9787	302	21	must	must	AUX
easat-9787	302	22	pick	pick	VERB
easat-9787	302	23	diagnostics	diagnostic	NOUN
easat-9787	302	24	judiciously	judiciously	ADV
easat-9787	302	25	when	when	SCONJ
easat-9787	302	26	dealing	deal	VERB
easat-9787	302	27	with	with	ADP
easat-9787	302	28	aggregated	aggregate	VERB
easat-9787	302	29	or	or	CCONJ
easat-9787	302	30	complex	complex	ADJ
easat-9787	302	31	time	time	NOUN
easat-9787	302	32	series	series	PROPN
easat-9787	302	33	data	data	PROPN
easat-9787	302	34	.	.	PUNCT
easat-9787	303	1	these	these	DET
easat-9787	303	2	simulations	simulation	NOUN
easat-9787	303	3	provide	provide	VERB
easat-9787	303	4	compelling	compelling	ADJ
easat-9787	303	5	evidence	evidence	NOUN
easat-9787	303	6	that	that	SCONJ
easat-9787	303	7	the	the	DET
easat-9787	303	8	power	power	NOUN
easat-9787	303	9	of	of	ADP
easat-9787	303	10	the	the	DET
easat-9787	303	11	dw	dw	PROPN
easat-9787	303	12	test	test	NOUN
easat-9787	303	13	deteriorates	deteriorate	VERB
easat-9787	303	14	under	under	ADP
easat-9787	303	15	temporal	temporal	ADJ
easat-9787	303	16	aggregation	aggregation	NOUN
easat-9787	303	17	,	,	PUNCT
easat-9787	303	18	especially	especially	ADV
easat-9787	303	19	for	for	ADP
easat-9787	303	20	moderate	moderate	ADJ
easat-9787	303	21	levels	level	NOUN
easat-9787	303	22	of	of	ADP
easat-9787	303	23	autocorrelation	autocorrelation	NOUN
easat-9787	303	24	.	.	PUNCT
easat-9787	304	1	the	the	DET
easat-9787	304	2	loss	loss	NOUN
easat-9787	304	3	is	be	AUX
easat-9787	304	4	more	more	ADV
easat-9787	304	5	severe	severe	ADJ
easat-9787	304	6	under	under	ADP
easat-9787	304	7	averaging	average	VERB
easat-9787	304	8	schemes	scheme	NOUN
easat-9787	304	9	and	and	CCONJ
easat-9787	304	10	in	in	ADP
easat-9787	304	11	the	the	DET
easat-9787	304	12	presence	presence	NOUN
easat-9787	304	13	of	of	ADP
easat-9787	304	14	model	model	NOUN
easat-9787	304	15	misspecification	misspecification	NOUN
easat-9787	304	16	.	.	PUNCT
easat-9787	305	1	compared	compare	VERB
easat-9787	305	2	to	to	ADP
easat-9787	305	3	the	the	DET
easat-9787	305	4	bg	bg	NOUN
easat-9787	305	5	and	and	CCONJ
easat-9787	305	6	lb	lb	NUM
easat-9787	305	7	tests	test	NOUN
easat-9787	305	8	,	,	PUNCT
easat-9787	305	9	the	the	DET
easat-9787	305	10	dw	dw	PROPN
easat-9787	305	11	test	test	NOUN
easat-9787	305	12	is	be	AUX
easat-9787	305	13	more	more	ADV
easat-9787	305	14	vulnerable	vulnerable	ADJ
easat-9787	305	15	to	to	ADP
easat-9787	305	16	the	the	DET
easat-9787	305	17	distortion	distortion	NOUN
easat-9787	305	18	of	of	ADP
easat-9787	305	19	autocorrelation	autocorrelation	NOUN
easat-9787	305	20	dynamics	dynamic	NOUN
easat-9787	305	21	through	through	ADP
easat-9787	305	22	aggregation	aggregation	NOUN
easat-9787	305	23	.	.	PUNCT
easat-9787	306	1	these	these	DET
easat-9787	306	2	findings	finding	NOUN
easat-9787	306	3	raise	raise	VERB
easat-9787	306	4	concerns	concern	NOUN
easat-9787	306	5	about	about	ADP
easat-9787	306	6	the	the	DET
easat-9787	306	7	continued	continue	VERB
easat-9787	306	8	use	use	NOUN
easat-9787	306	9	of	of	ADP
easat-9787	306	10	the	the	DET
easat-9787	306	11	dw	dw	PROPN
easat-9787	306	12	statistic	statistic	PROPN
easat-9787	306	13	in	in	ADP
easat-9787	306	14	contexts	context	NOUN
easat-9787	306	15	where	where	SCONJ
easat-9787	306	16	lower	low	ADJ
easat-9787	306	17	-	-	PUNCT
easat-9787	306	18	frequency	frequency	NOUN
easat-9787	306	19	data	datum	NOUN
easat-9787	306	20	is	be	AUX
easat-9787	306	21	used	use	VERB
easat-9787	306	22	without	without	ADP
easat-9787	306	23	adjustments	adjustment	NOUN
easat-9787	306	24	or	or	CCONJ
easat-9787	306	25	robustness	robustness	NOUN
easat-9787	306	26	checks	check	NOUN
easat-9787	306	27	.	.	PUNCT
easat-9787	307	1	the	the	DET
easat-9787	307	2	next	next	ADJ
easat-9787	307	3	section	section	NOUN
easat-9787	307	4	evaluates	evaluate	VERB
easat-9787	307	5	whether	whether	SCONJ
easat-9787	307	6	these	these	DET
easat-9787	307	7	simulation	simulation	NOUN
easat-9787	307	8	-	-	PUNCT
easat-9787	307	9	based	base	VERB
easat-9787	307	10	findings	finding	NOUN
easat-9787	307	11	generalize	generalize	VERB
easat-9787	307	12	to	to	ADP
easat-9787	307	13	real	real	ADJ
easat-9787	307	14	-	-	PUNCT
easat-9787	307	15	world	world	NOUN
easat-9787	307	16	data	datum	NOUN
easat-9787	307	17	by	by	ADP
easat-9787	307	18	applying	apply	VERB
easat-9787	307	19	the	the	DET
easat-9787	307	20	same	same	ADJ
easat-9787	307	21	diagnostic	diagnostic	ADJ
easat-9787	307	22	framework	framework	NOUN
easat-9787	307	23	to	to	ADP
easat-9787	307	24	daily	daily	ADJ
easat-9787	307	25	exchange	exchange	NOUN
easat-9787	307	26	rates	rate	NOUN
easat-9787	307	27	for	for	ADP
easat-9787	307	28	eur	eur	ADJ
easat-9787	307	29	/	/	SYM
easat-9787	307	30	usd	usd	NOUN
easat-9787	307	31	and	and	CCONJ
easat-9787	307	32	gbp	gbp	NOUN
easat-9787	307	33	/	/	SYM
easat-9787	307	34	usd	usd	NOUN
easat-9787	307	35	.	.	NOUN
easat-9787	308	1	5	5	NUM
easat-9787	308	2	.	.	X
easat-9787	308	3	empirical	empirical	ADJ
easat-9787	308	4	application	application	NOUN
easat-9787	308	5	figure	figure	NOUN
easat-9787	308	6	1	1	NUM
easat-9787	308	7	shows	show	VERB
easat-9787	308	8	the	the	DET
easat-9787	308	9	usd	usd	NOUN
easat-9787	308	10	/	/	SYM
easat-9787	308	11	eur	eur	NOUN
easat-9787	308	12	and	and	CCONJ
easat-9787	308	13	usd	usd	ADJ
easat-9787	308	14	/	/	SYM
easat-9787	308	15	gbp	gbp	NOUN
easat-9787	308	16	daily	daily	ADJ
easat-9787	308	17	exchange	exchange	NOUN
easat-9787	308	18	rates	rate	NOUN
easat-9787	308	19	from	from	ADP
easat-9787	308	20	april	april	PROPN
easat-9787	308	21	1	1	NUM
easat-9787	308	22	,	,	PUNCT
easat-9787	308	23	1999	1999	NUM
easat-9787	308	24	,	,	PUNCT
easat-9787	308	25	up	up	ADP
easat-9787	308	26	to	to	ADP
easat-9787	308	27	march	march	PROPN
easat-9787	308	28	7	7	NUM
easat-9787	308	29	,	,	PUNCT
easat-9787	308	30	2025	2025	NUM
easat-9787	308	31	,	,	PUNCT
easat-9787	308	32	and	and	CCONJ
easat-9787	308	33	illustrates	illustrate	VERB
easat-9787	308	34	various	various	ADJ
easat-9787	308	35	characteristic	characteristic	ADJ
easat-9787	308	36	features	feature	NOUN
easat-9787	308	37	common	common	ADJ
easat-9787	308	38	for	for	ADP
easat-9787	308	39	high	high	ADJ
easat-9787	308	40	-	-	PUNCT
easat-9787	308	41	frequency	frequency	NOUN
easat-9787	308	42	financial	financial	ADJ
easat-9787	308	43	time	time	NOUN
easat-9787	308	44	series	series	PROPN
easat-9787	308	45	.	.	PUNCT
easat-9787	309	1	figure	figure	NOUN
easat-9787	309	2	1	1	NUM
easat-9787	309	3	.	.	PUNCT
easat-9787	310	1	daily	daily	ADJ
easat-9787	310	2	exchange	exchange	NOUN
easat-9787	310	3	rates	rate	NOUN
easat-9787	310	4	of	of	ADP
easat-9787	310	5	usd	usd	NOUN
easat-9787	310	6	/	/	SYM
easat-9787	310	7	eur	eur	NOUN
easat-9787	310	8	and	and	CCONJ
easat-9787	310	9	usd	usd	NOUN
easat-9787	310	10	/	/	SYM
easat-9787	310	11	gbp	gbp	NOUN
easat-9787	310	12	.	.	PUNCT
easat-9787	311	1	both	both	DET
easat-9787	311	2	series	serie	NOUN
easat-9787	311	3	are	be	AUX
easat-9787	311	4	influenced	influence	VERB
easat-9787	311	5	by	by	ADP
easat-9787	311	6	long	long	ADJ
easat-9787	311	7	-	-	PUNCT
easat-9787	311	8	run	run	NOUN
easat-9787	311	9	movements	movement	NOUN
easat-9787	311	10	reflecting	reflect	VERB
easat-9787	311	11	macroeconomic	macroeconomic	ADJ
easat-9787	311	12	patterns	pattern	NOUN
easat-9787	311	13	,	,	PUNCT
easat-9787	311	14	shifts	shift	NOUN
easat-9787	311	15	in	in	ADP
easat-9787	311	16	monetary	monetary	ADJ
easat-9787	311	17	policy	policy	NOUN
easat-9787	311	18	regimes	regime	NOUN
easat-9787	311	19	,	,	PUNCT
easat-9787	311	20	and	and	CCONJ
easat-9787	311	21	geopolitical	geopolitical	ADJ
easat-9787	311	22	shocks	shock	NOUN
easat-9787	311	23	that	that	PRON
easat-9787	311	24	have	have	AUX
easat-9787	311	25	driven	drive	VERB
easat-9787	311	26	currency	currency	NOUN
easat-9787	311	27	markets	market	NOUN
easat-9787	311	28	during	during	ADP
easat-9787	311	29	the	the	DET
easat-9787	311	30	past	past	ADJ
easat-9787	311	31	two	two	NUM
easat-9787	311	32	decades	decade	NOUN
easat-9787	311	33	.	.	PUNCT
easat-9787	312	1	the	the	DET
easat-9787	312	2	usd	usd	PROPN
easat-9787	312	3	/	/	SYM
easat-9787	312	4	eur	eur	NOUN
easat-9787	312	5	series	series	NOUN
easat-9787	312	6	captures	capture	VERB
easat-9787	312	7	a	a	DET
easat-9787	312	8	general	general	ADJ
easat-9787	312	9	appreciation	appreciation	NOUN
easat-9787	312	10	of	of	ADP
easat-9787	312	11	the	the	DET
easat-9787	312	12	euro	euro	NOUN
easat-9787	312	13	against	against	ADP
easat-9787	312	14	the	the	DET
easat-9787	312	15	dollar	dollar	NOUN
easat-9787	312	16	during	during	ADP
easat-9787	312	17	the	the	DET
easat-9787	312	18	238	238	NUM
easat-9787	312	19	edelweiss	edelweiss	PROPN
easat-9787	312	20	applied	apply	VERB
easat-9787	312	21	science	science	NOUN
easat-9787	312	22	and	and	CCONJ
easat-9787	312	23	technology	technology	NOUN
easat-9787	312	24	issn	issn	PROPN
easat-9787	312	25	:	:	PUNCT
easat-9787	312	26	2576	2576	NUM
easat-9787	312	27	-	-	SYM
easat-9787	312	28	8484	8484	NUM
easat-9787	312	29	vol	vol	NOUN
easat-9787	312	30	.	.	PROPN
easat-9787	313	1	9	9	NUM
easat-9787	313	2	,	,	PUNCT
easat-9787	313	3	no	no	INTJ
easat-9787	313	4	.	.	NOUN
easat-9787	313	5	9	9	NUM
easat-9787	313	6	:	:	SYM
easat-9787	313	7	226	226	NUM
easat-9787	313	8	-	-	SYM
easat-9787	313	9	244	244	NUM
easat-9787	313	10	,	,	PUNCT
easat-9787	313	11	2025	2025	NUM
easat-9787	313	12	doi	doi	NOUN
easat-9787	313	13	:	:	PUNCT
easat-9787	313	14	10.55214/2576	10.55214/2576	NUM
easat-9787	313	15	-	-	PUNCT
easat-9787	313	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	313	17	©	©	PROPN
easat-9787	313	18	2025	2025	NUM
easat-9787	313	19	by	by	ADP
easat-9787	313	20	the	the	DET
easat-9787	313	21	author	author	NOUN
easat-9787	313	22	;	;	PUNCT
easat-9787	313	23	licensee	licensee	PROPN
easat-9787	313	24	learning	learning	NOUN
easat-9787	313	25	gate	gate	VERB
easat-9787	313	26	early	early	ADJ
easat-9787	313	27	2000s	2000s	NUM
easat-9787	313	28	,	,	PUNCT
easat-9787	313	29	followed	follow	VERB
easat-9787	313	30	by	by	ADP
easat-9787	313	31	volatility	volatility	NOUN
easat-9787	313	32	and	and	CCONJ
easat-9787	313	33	reversals	reversal	NOUN
easat-9787	313	34	.	.	PUNCT
easat-9787	314	1	the	the	DET
easat-9787	314	2	usd	usd	PROPN
easat-9787	314	3	/	/	SYM
easat-9787	314	4	gbp	gbp	NOUN
easat-9787	314	5	series	series	NOUN
easat-9787	314	6	captures	capture	VERB
easat-9787	314	7	comparable	comparable	ADJ
easat-9787	314	8	mediumto	mediumto	NOUN
easat-9787	314	9	long	long	ADV
easat-9787	314	10	-	-	PUNCT
easat-9787	314	11	run	run	VERB
easat-9787	314	12	fluctuations	fluctuation	NOUN
easat-9787	314	13	,	,	PUNCT
easat-9787	314	14	such	such	ADJ
easat-9787	314	15	as	as	ADP
easat-9787	314	16	dramatic	dramatic	ADJ
easat-9787	314	17	changes	change	NOUN
easat-9787	314	18	around	around	ADP
easat-9787	314	19	major	major	ADJ
easat-9787	314	20	events	event	NOUN
easat-9787	314	21	like	like	ADP
easat-9787	314	22	the	the	DET
easat-9787	314	23	2008	2008	NUM
easat-9787	314	24	global	global	ADJ
easat-9787	314	25	financial	financial	ADJ
easat-9787	314	26	crisis	crisis	NOUN
easat-9787	314	27	and	and	CCONJ
easat-9787	314	28	the	the	DET
easat-9787	314	29	2016	2016	NUM
easat-9787	314	30	brexit	brexit	NOUN
easat-9787	314	31	referendum	referendum	NOUN
easat-9787	314	32	.	.	PUNCT
easat-9787	315	1	both	both	DET
easat-9787	315	2	exchange	exchange	NOUN
easat-9787	315	3	rates	rate	NOUN
easat-9787	315	4	show	show	VERB
easat-9787	315	5	continuous	continuous	ADJ
easat-9787	315	6	,	,	PUNCT
easat-9787	315	7	smooth	smooth	ADJ
easat-9787	315	8	movement	movement	NOUN
easat-9787	315	9	instead	instead	ADV
easat-9787	315	10	of	of	ADP
easat-9787	315	11	abrupt	abrupt	ADJ
easat-9787	315	12	jumps	jump	NOUN
easat-9787	315	13	,	,	PUNCT
easat-9787	315	14	such	such	ADJ
easat-9787	315	15	as	as	ADP
easat-9787	315	16	major	major	ADJ
easat-9787	315	17	currency	currency	NOUN
easat-9787	315	18	pairs	pair	NOUN
easat-9787	315	19	do	do	AUX
easat-9787	315	20	in	in	ADP
easat-9787	315	21	deep	deep	ADJ
easat-9787	315	22	,	,	PUNCT
easat-9787	315	23	liquid	liquid	ADJ
easat-9787	315	24	markets	market	NOUN
easat-9787	315	25	.	.	PUNCT
easat-9787	316	1	such	such	DET
easat-9787	316	2	a	a	DET
easat-9787	316	3	clear	clear	ADJ
easat-9787	316	4	presence	presence	NOUN
easat-9787	316	5	of	of	ADP
easat-9787	316	6	sustained	sustained	ADJ
easat-9787	316	7	trends	trend	NOUN
easat-9787	316	8	and	and	CCONJ
easat-9787	316	9	reversals	reversal	NOUN
easat-9787	316	10	suggests	suggest	VERB
easat-9787	316	11	potential	potential	ADJ
easat-9787	316	12	nonstationarity	nonstationarity	NOUN
easat-9787	316	13	in	in	ADP
easat-9787	316	14	the	the	DET
easat-9787	316	15	raw	raw	ADJ
easat-9787	316	16	levels	level	NOUN
easat-9787	316	17	of	of	ADP
easat-9787	316	18	the	the	DET
easat-9787	316	19	series	series	NOUN
easat-9787	316	20	—	—	PUNCT
easat-9787	316	21	a	a	DET
easat-9787	316	22	common	common	ADJ
easat-9787	316	23	property	property	NOUN
easat-9787	316	24	of	of	ADP
easat-9787	316	25	exchange	exchange	NOUN
easat-9787	316	26	rates	rate	NOUN
easat-9787	316	27	,	,	PUNCT
easat-9787	316	28	which	which	PRON
easat-9787	316	29	are	be	AUX
easat-9787	316	30	typically	typically	ADV
easat-9787	316	31	modelled	model	VERB
easat-9787	316	32	in	in	ADP
easat-9787	316	33	differences	difference	NOUN
easat-9787	316	34	or	or	CCONJ
easat-9787	316	35	log	log	VERB
easat-9787	316	36	returns	return	NOUN
easat-9787	316	37	to	to	PART
easat-9787	316	38	become	become	VERB
easat-9787	316	39	stationary	stationary	ADJ
easat-9787	316	40	.	.	PUNCT
easat-9787	317	1	visually	visually	ADV
easat-9787	317	2	,	,	PUNCT
easat-9787	317	3	both	both	DET
easat-9787	317	4	series	series	NOUN
easat-9787	317	5	exhibit	exhibit	VERB
easat-9787	317	6	mean	mean	ADV
easat-9787	317	7	-	-	PUNCT
easat-9787	317	8	reverting	revert	VERB
easat-9787	317	9	phases	phase	NOUN
easat-9787	317	10	and	and	CCONJ
easat-9787	317	11	trends	trend	NOUN
easat-9787	317	12	,	,	PUNCT
easat-9787	317	13	indicating	indicate	VERB
easat-9787	317	14	various	various	ADJ
easat-9787	317	15	degrees	degree	NOUN
easat-9787	317	16	of	of	ADP
easat-9787	317	17	autocorrelation	autocorrelation	NOUN
easat-9787	317	18	potentially	potentially	ADV
easat-9787	317	19	found	find	VERB
easat-9787	317	20	within	within	ADP
easat-9787	317	21	a	a	DET
easat-9787	317	22	more	more	ADV
easat-9787	317	23	diligent	diligent	ADJ
easat-9787	317	24	time	time	NOUN
easat-9787	317	25	series	series	PROPN
easat-9787	317	26	investigation	investigation	PROPN
easat-9787	317	27	.	.	PUNCT
easat-9787	318	1	as	as	ADV
easat-9787	318	2	importantly	importantly	ADV
easat-9787	318	3	,	,	PUNCT
easat-9787	318	4	the	the	DET
easat-9787	318	5	rather	rather	ADV
easat-9787	318	6	smooth	smooth	ADJ
easat-9787	318	7	development	development	NOUN
easat-9787	318	8	of	of	ADP
easat-9787	318	9	both	both	DET
easat-9787	318	10	series	serie	NOUN
easat-9787	318	11	over	over	ADP
easat-9787	318	12	time	time	NOUN
easat-9787	318	13	suggests	suggest	VERB
easat-9787	318	14	that	that	SCONJ
easat-9787	318	15	temporal	temporal	ADJ
easat-9787	318	16	aggregation	aggregation	NOUN
easat-9787	318	17	(	(	PUNCT
easat-9787	318	18	e.g.	e.g.	ADV
easat-9787	318	19	,	,	PUNCT
easat-9787	318	20	weekly	weekly	ADJ
easat-9787	318	21	or	or	CCONJ
easat-9787	318	22	monthly	monthly	ADJ
easat-9787	318	23	averaging	averaging	NOUN
easat-9787	318	24	)	)	PUNCT
easat-9787	318	25	would	would	AUX
easat-9787	318	26	further	far	ADV
easat-9787	318	27	dampen	dampen	VERB
easat-9787	318	28	short	short	ADJ
easat-9787	318	29	-	-	PUNCT
easat-9787	318	30	run	run	NOUN
easat-9787	318	31	dynamics	dynamic	NOUN
easat-9787	318	32	.	.	PUNCT
easat-9787	319	1	this	this	PRON
easat-9787	319	2	has	have	VERB
easat-9787	319	3	important	important	ADJ
easat-9787	319	4	statistical	statistical	ADJ
easat-9787	319	5	testing	testing	NOUN
easat-9787	319	6	implications	implication	NOUN
easat-9787	319	7	:	:	PUNCT
easat-9787	319	8	aggregation	aggregation	NOUN
easat-9787	319	9	can	can	AUX
easat-9787	319	10	reduce	reduce	VERB
easat-9787	319	11	the	the	DET
easat-9787	319	12	transparency	transparency	NOUN
easat-9787	319	13	of	of	ADP
easat-9787	319	14	autocorrelation	autocorrelation	NOUN
easat-9787	319	15	patterns	pattern	NOUN
easat-9787	319	16	,	,	PUNCT
easat-9787	319	17	and	and	CCONJ
easat-9787	319	18	therefore	therefore	ADV
easat-9787	319	19	tests	test	VERB
easat-9787	319	20	like	like	ADP
easat-9787	319	21	the	the	DET
easat-9787	319	22	durbin	durbin	NOUN
easat-9787	319	23	-	-	PUNCT
easat-9787	319	24	watson	watson	PROPN
easat-9787	319	25	can	can	AUX
easat-9787	319	26	become	become	VERB
easat-9787	319	27	less	less	ADV
easat-9787	319	28	sensitive	sensitive	ADJ
easat-9787	319	29	to	to	ADP
easat-9787	319	30	detection	detection	NOUN
easat-9787	319	31	of	of	ADP
easat-9787	319	32	serial	serial	ADJ
easat-9787	319	33	dependence	dependence	NOUN
easat-9787	319	34	—	—	PUNCT
easat-9787	319	35	a	a	DET
easat-9787	319	36	proposal	proposal	NOUN
easat-9787	319	37	further	far	ADV
easat-9787	319	38	explored	explore	VERB
easat-9787	319	39	in	in	ADP
easat-9787	319	40	simulation	simulation	NOUN
easat-9787	319	41	and	and	CCONJ
easat-9787	319	42	empirical	empirical	ADJ
easat-9787	319	43	sections	section	NOUN
easat-9787	319	44	of	of	ADP
easat-9787	319	45	this	this	DET
easat-9787	319	46	research	research	NOUN
easat-9787	319	47	.	.	PUNCT
easat-9787	320	1	table	table	NOUN
easat-9787	320	2	7	7	NUM
easat-9787	320	3	.	.	PUNCT
easat-9787	321	1	summary	summary	NOUN
easat-9787	321	2	statistics	statistic	NOUN
easat-9787	321	3	at	at	ADP
easat-9787	321	4	different	different	ADJ
easat-9787	321	5	aggregation	aggregation	NOUN
easat-9787	321	6	levels	level	NOUN
easat-9787	321	7	.	.	PUNCT
easat-9787	322	1	series	series	PROPN
easat-9787	322	2	aggregation	aggregation	NOUN
easat-9787	322	3	mean	mean	VERB
easat-9787	322	4	std	std	PROPN
easat-9787	322	5	dev	dev	PROPN
easat-9787	322	6	.	.	PUNCT
easat-9787	323	1	skewness	skewness	PROPN
easat-9787	323	2	kurtosis	kurtosis	VERB
easat-9787	323	3	min	min	PROPN
easat-9787	323	4	.	.	PROPN
easat-9787	323	5	max	max	PROPN
easat-9787	323	6	.	.	PUNCT
easat-9787	324	1	n	n	PROPN
easat-9787	324	2	usdeur	usdeur	ADJ
easat-9787	324	3	daily	daily	ADJ
easat-9787	324	4	-6.89e-07	-6.89e-07	NOUN
easat-9787	324	5	0.005823	0.005823	NUM
easat-9787	324	6	0.108944	0.108944	NUM
easat-9787	324	7	2.453303	2.453303	NUM
easat-9787	324	8	-0.03003	-0.03003	NOUN
easat-9787	324	9	0.046208	0.046208	NUM
easat-9787	324	10	6646	6646	NUM
easat-9787	324	11	usdgbp	usdgbp	NOUN
easat-9787	324	12	daily	daily	ADJ
easat-9787	324	13	-2.92e-05	-2.92e-05	PROPN
easat-9787	324	14	0.005861	0.005861	NUM
easat-9787	324	15	-0.57494	-0.57494	NOUN
easat-9787	324	16	9.725343	9.725343	NUM
easat-9787	324	17	-0.08169	-0.08169	NOUN
easat-9787	324	18	0.044349	0.044349	NUM
easat-9787	324	19	6646	6646	NUM
easat-9787	324	20	usdeur	usdeur	ADJ
easat-9787	324	21	weekly	weekly	ADJ
easat-9787	324	22	los	los	PROPN
easat-9787	324	23	4.74e-05	4.74e-05	NUM
easat-9787	324	24	0.005964	0.005964	NUM
easat-9787	324	25	0.089908	0.089908	NUM
easat-9787	324	26	3.074343	3.074343	NUM
easat-9787	324	27	-0.02276	-0.02276	NOUN
easat-9787	324	28	0.038914	0.038914	NUM
easat-9787	324	29	951	951	NUM
easat-9787	324	30	usdgbp	usdgbp	NOUN
easat-9787	324	31	weekly	weekly	ADJ
easat-9787	324	32	los	los	NOUN
easat-9787	324	33	-6.15e-05	-6.15e-05	NOUN
easat-9787	324	34	0.005897	0.005897	NUM
easat-9787	324	35	-0.55786	-0.55786	NOUN
easat-9787	324	36	6.065212	6.065212	NUM
easat-9787	324	37	-0.04966	-0.04966	NOUN
easat-9787	325	1	0.027821	0.027821	NUM
easat-9787	325	2	951	951	NUM
easat-9787	325	3	usdeur	usdeur	ADJ
easat-9787	325	4	weekly	weekly	ADJ
easat-9787	325	5	avg	avg	NOUN
easat-9787	325	6	-5.24e-06	-5.24e-06	VERB
easat-9787	325	7	0.002268	0.002268	NUM
easat-9787	325	8	-0.00911	-0.00911	NOUN
easat-9787	325	9	3.406082	3.406082	NUM
easat-9787	325	10	-0.01153	-0.01153	VERB
easat-9787	326	1	0.014833	0.014833	NUM
easat-9787	326	2	951	951	NUM
easat-9787	326	3	usdgbp	usdgbp	NOUN
easat-9787	326	4	weekly	weekly	ADJ
easat-9787	326	5	avg	avg	NOUN
easat-9787	326	6	-3.19e-05	-3.19e-05	PROPN
easat-9787	326	7	0.002258	0.002258	NUM
easat-9787	326	8	-0.80947	-0.80947	VERB
easat-9787	326	9	4.163883	4.163883	NUM
easat-9787	326	10	-0.01548	-0.01548	NOUN
easat-9787	326	11	0.006634	0.006634	NUM
easat-9787	326	12	951	951	NUM
easat-9787	326	13	usdeur	usdeur	ADJ
easat-9787	326	14	monthly	monthly	ADJ
easat-9787	326	15	los	los	NOUN
easat-9787	326	16	0.000195	0.000195	NUM
easat-9787	326	17	0.005789	0.005789	NUM
easat-9787	326	18	0.109589	0.109589	NUM
easat-9787	326	19	0.327847	0.327847	NUM
easat-9787	326	20	-0.01457	-0.01457	NOUN
easat-9787	326	21	0.018778	0.018778	NUM
easat-9787	326	22	219	219	NUM
easat-9787	326	23	usdgbp	usdgbp	NOUN
easat-9787	326	24	monthly	monthly	ADJ
easat-9787	326	25	los	los	PROPN
easat-9787	326	26	-0.00012	-0.00012	PROPN
easat-9787	326	27	0.005708	0.005708	NUM
easat-9787	326	28	0.291234	0.291234	NUM
easat-9787	326	29	1.643661	1.643661	NUM
easat-9787	326	30	-0.02031	-0.02031	NOUN
easat-9787	326	31	0.025092	0.025092	NUM
easat-9787	326	32	219	219	NUM
easat-9787	326	33	usdeur	usdeur	ADJ
easat-9787	326	34	monthly	monthly	ADJ
easat-9787	326	35	avg	avg	NOUN
easat-9787	326	36	2.27e-06	2.27e-06	NUM
easat-9787	326	37	0.001054	0.001054	NUM
easat-9787	326	38	-0.21729	-0.21729	NOUN
easat-9787	326	39	0.116313	0.116313	NUM
easat-9787	326	40	-0.00297	-0.00297	NOUN
easat-9787	326	41	0.002387	0.002387	NUM
easat-9787	326	42	219	219	NUM
easat-9787	326	43	usdgbp	usdgbp	NOUN
easat-9787	326	44	monthly	monthly	ADJ
easat-9787	326	45	avg	avg	NOUN
easat-9787	326	46	-2.60e-05	-2.60e-05	PROPN
easat-9787	326	47	0.001057	0.001057	NUM
easat-9787	326	48	-0.75823	-0.75823	NOUN
easat-9787	326	49	2.658897	2.658897	NUM
easat-9787	326	50	-0.00508	-0.00508	NOUN
easat-9787	326	51	0.002637	0.002637	NUM
easat-9787	326	52	219	219	NUM
easat-9787	326	53	table	table	NOUN
easat-9787	326	54	7	7	NUM
easat-9787	326	55	presents	present	VERB
easat-9787	326	56	the	the	DET
easat-9787	326	57	summary	summary	NOUN
easat-9787	326	58	statistics	statistic	NOUN
easat-9787	326	59	for	for	ADP
easat-9787	326	60	the	the	DET
easat-9787	326	61	usd	usd	PROPN
easat-9787	326	62	/	/	SYM
easat-9787	326	63	eur	eur	NOUN
easat-9787	326	64	and	and	CCONJ
easat-9787	326	65	usd	usd	NOUN
easat-9787	326	66	/	/	SYM
easat-9787	326	67	gbp	gbp	NOUN
easat-9787	326	68	log	log	NOUN
easat-9787	326	69	returns	return	NOUN
easat-9787	326	70	at	at	ADP
easat-9787	326	71	different	different	ADJ
easat-9787	326	72	aggregation	aggregation	NOUN
easat-9787	326	73	levels	level	NOUN
easat-9787	326	74	(	(	PUNCT
easat-9787	326	75	daily	daily	ADV
easat-9787	326	76	,	,	PUNCT
easat-9787	326	77	weekly	weekly	ADJ
easat-9787	326	78	los	los	PROPN
easat-9787	326	79	,	,	PUNCT
easat-9787	326	80	weekly	weekly	ADJ
easat-9787	326	81	avg	avg	PROPN
easat-9787	326	82	,	,	PUNCT
easat-9787	326	83	etc	etc	X
easat-9787	326	84	.	.	X
easat-9787	326	85	)	)	PUNCT
easat-9787	326	86	.	.	PUNCT
easat-9787	327	1	the	the	DET
easat-9787	327	2	reported	report	VERB
easat-9787	327	3	statistics	statistic	NOUN
easat-9787	327	4	are	be	AUX
easat-9787	327	5	the	the	DET
easat-9787	327	6	mean	mean	ADJ
easat-9787	327	7	,	,	PUNCT
easat-9787	327	8	standard	standard	ADJ
easat-9787	327	9	deviation	deviation	NOUN
easat-9787	327	10	,	,	PUNCT
easat-9787	327	11	skewness	skewness	NOUN
easat-9787	327	12	,	,	PUNCT
easat-9787	327	13	kurtosis	kurtosis	NOUN
easat-9787	327	14	,	,	PUNCT
easat-9787	327	15	minimum	minimum	ADJ
easat-9787	327	16	,	,	PUNCT
easat-9787	327	17	maximum	maximum	ADJ
easat-9787	327	18	,	,	PUNCT
easat-9787	327	19	and	and	CCONJ
easat-9787	327	20	number	number	NOUN
easat-9787	327	21	of	of	ADP
easat-9787	327	22	observations	observation	NOUN
easat-9787	327	23	,	,	PUNCT
easat-9787	327	24	and	and	CCONJ
easat-9787	327	25	they	they	PRON
easat-9787	327	26	provide	provide	VERB
easat-9787	327	27	a	a	DET
easat-9787	327	28	sense	sense	NOUN
easat-9787	327	29	of	of	ADP
easat-9787	327	30	how	how	SCONJ
easat-9787	327	31	aggregation	aggregation	NOUN
easat-9787	327	32	alters	alter	VERB
easat-9787	327	33	the	the	DET
easat-9787	327	34	distributional	distributional	ADJ
easat-9787	327	35	features	feature	NOUN
easat-9787	327	36	of	of	ADP
easat-9787	327	37	each	each	DET
easat-9787	327	38	series	series	NOUN
easat-9787	327	39	.	.	PUNCT
easat-9787	328	1	the	the	DET
easat-9787	328	2	summary	summary	NOUN
easat-9787	328	3	statistics	statistic	NOUN
easat-9787	328	4	at	at	ADP
easat-9787	328	5	different	different	ADJ
easat-9787	328	6	levels	level	NOUN
easat-9787	328	7	of	of	ADP
easat-9787	328	8	aggregation	aggregation	NOUN
easat-9787	328	9	show	show	VERB
easat-9787	328	10	large	large	ADJ
easat-9787	328	11	changes	change	NOUN
easat-9787	328	12	in	in	ADP
easat-9787	328	13	the	the	DET
easat-9787	328	14	distributional	distributional	ADJ
easat-9787	328	15	properties	property	NOUN
easat-9787	328	16	of	of	ADP
easat-9787	328	17	the	the	DET
easat-9787	328	18	usd	usd	NOUN
easat-9787	328	19	/	/	SYM
easat-9787	328	20	eur	eur	NOUN
easat-9787	328	21	and	and	CCONJ
easat-9787	328	22	usd	usd	NOUN
easat-9787	328	23	/	/	SYM
easat-9787	328	24	gbp	gbp	NOUN
easat-9787	328	25	log	log	NOUN
easat-9787	328	26	returns	return	NOUN
easat-9787	328	27	,	,	PUNCT
easat-9787	328	28	as	as	SCONJ
easat-9787	328	29	temporal	temporal	ADJ
easat-9787	328	30	aggregation	aggregation	NOUN
easat-9787	328	31	theory	theory	NOUN
easat-9787	328	32	predicts	predict	VERB
easat-9787	328	33	.	.	PUNCT
easat-9787	329	1	both	both	DET
easat-9787	329	2	series	series	NOUN
easat-9787	329	3	exhibit	exhibit	NOUN
easat-9787	329	4	means	mean	VERB
easat-9787	329	5	close	close	ADJ
easat-9787	329	6	to	to	ADP
easat-9787	329	7	zero	zero	NUM
easat-9787	329	8	and	and	CCONJ
easat-9787	329	9	standard	standard	ADJ
easat-9787	329	10	deviations	deviation	NOUN
easat-9787	329	11	of	of	ADP
easat-9787	329	12	0.0058	0.0058	NUM
easat-9787	329	13	at	at	ADP
easat-9787	329	14	the	the	DET
easat-9787	329	15	daily	daily	ADJ
easat-9787	329	16	frequency	frequency	NOUN
easat-9787	329	17	,	,	PUNCT
easat-9787	329	18	which	which	PRON
easat-9787	329	19	reflects	reflect	VERB
easat-9787	329	20	the	the	DET
easat-9787	329	21	high	high	ADJ
easat-9787	329	22	-	-	PUNCT
easat-9787	329	23	frequency	frequency	NOUN
easat-9787	329	24	,	,	PUNCT
easat-9787	329	25	low	low	ADJ
easat-9787	329	26	-	-	PUNCT
easat-9787	329	27	drift	drift	NOUN
easat-9787	329	28	nature	nature	NOUN
easat-9787	329	29	of	of	ADP
easat-9787	329	30	exchange	exchange	NOUN
easat-9787	329	31	rate	rate	NOUN
easat-9787	329	32	returns	return	NOUN
easat-9787	329	33	.	.	PUNCT
easat-9787	330	1	the	the	DET
easat-9787	330	2	usd	usd	PROPN
easat-9787	330	3	/	/	SYM
easat-9787	330	4	eur	eur	NOUN
easat-9787	330	5	series	series	NOUN
easat-9787	330	6	possesses	possess	VERB
easat-9787	330	7	weak	weak	ADJ
easat-9787	330	8	positive	positive	ADJ
easat-9787	330	9	skewness	skewness	NOUN
easat-9787	330	10	(	(	PUNCT
easat-9787	330	11	0.11	0.11	NUM
easat-9787	330	12	)	)	PUNCT
easat-9787	330	13	and	and	CCONJ
easat-9787	330	14	nearly	nearly	ADV
easat-9787	330	15	normal	normal	ADJ
easat-9787	330	16	kurtosis	kurtosis	NOUN
easat-9787	330	17	(	(	PUNCT
easat-9787	330	18	2.45	2.45	NUM
easat-9787	330	19	)	)	PUNCT
easat-9787	330	20	,	,	PUNCT
easat-9787	330	21	while	while	SCONJ
easat-9787	330	22	the	the	DET
easat-9787	330	23	usd	usd	NOUN
easat-9787	330	24	/	/	SYM
easat-9787	330	25	gbp	gbp	NOUN
easat-9787	330	26	possesses	possess	VERB
easat-9787	330	27	strong	strong	ADJ
easat-9787	330	28	negative	negative	ADJ
easat-9787	330	29	skewness	skewness	NOUN
easat-9787	330	30	(	(	PUNCT
easat-9787	330	31	–	–	PUNCT
easat-9787	330	32	0.57	0.57	NUM
easat-9787	330	33	)	)	PUNCT
easat-9787	330	34	and	and	CCONJ
easat-9787	330	35	excess	excess	ADJ
easat-9787	330	36	kurtosis	kurtosis	NOUN
easat-9787	330	37	(	(	PUNCT
easat-9787	330	38	9.73	9.73	NUM
easat-9787	330	39	)	)	PUNCT
easat-9787	330	40	,	,	PUNCT
easat-9787	330	41	indicating	indicate	VERB
easat-9787	330	42	the	the	DET
easat-9787	330	43	existence	existence	NOUN
easat-9787	330	44	of	of	ADP
easat-9787	330	45	occasional	occasional	ADJ
easat-9787	330	46	large	large	ADJ
easat-9787	330	47	negative	negative	ADJ
easat-9787	330	48	returns	return	NOUN
easat-9787	330	49	and	and	CCONJ
easat-9787	330	50	heavy	heavy	ADJ
easat-9787	330	51	-	-	PUNCT
easat-9787	330	52	tailed	tail	VERB
easat-9787	330	53	return	return	NOUN
easat-9787	330	54	distribution	distribution	NOUN
easat-9787	330	55	.	.	PUNCT
easat-9787	331	1	when	when	SCONJ
easat-9787	331	2	moving	move	VERB
easat-9787	331	3	to	to	ADP
easat-9787	331	4	weekly	weekly	ADJ
easat-9787	331	5	data	datum	NOUN
easat-9787	331	6	via	via	ADP
easat-9787	331	7	last	last	ADJ
easat-9787	331	8	observation	observation	NOUN
easat-9787	331	9	sampling	sample	VERB
easat-9787	331	10	(	(	PUNCT
easat-9787	331	11	los	los	PROPN
easat-9787	331	12	)	)	PUNCT
easat-9787	331	13	,	,	PUNCT
easat-9787	331	14	the	the	DET
easat-9787	331	15	mean	mean	ADJ
easat-9787	331	16	returns	return	NOUN
easat-9787	331	17	become	become	VERB
easat-9787	331	18	slightly	slightly	ADV
easat-9787	331	19	more	more	ADV
easat-9787	331	20	variable	variable	ADJ
easat-9787	331	21	,	,	PUNCT
easat-9787	331	22	though	though	SCONJ
easat-9787	331	23	still	still	ADV
easat-9787	331	24	centered	center	VERB
easat-9787	331	25	near	near	ADP
easat-9787	331	26	zero	zero	NUM
easat-9787	331	27	.	.	PUNCT
easat-9787	332	1	standard	standard	ADJ
easat-9787	332	2	deviations	deviation	NOUN
easat-9787	332	3	are	be	AUX
easat-9787	332	4	relatively	relatively	ADV
easat-9787	332	5	consistent	consistent	ADJ
easat-9787	332	6	with	with	ADP
easat-9787	332	7	regard	regard	NOUN
easat-9787	332	8	to	to	ADP
easat-9787	332	9	daily	daily	ADJ
easat-9787	332	10	data	datum	NOUN
easat-9787	332	11	,	,	PUNCT
easat-9787	332	12	testifying	testify	VERB
easat-9787	332	13	that	that	SCONJ
easat-9787	332	14	los	los	PROPN
easat-9787	332	15	neither	neither	CCONJ
easat-9787	332	16	changes	change	VERB
easat-9787	332	17	the	the	DET
easat-9787	332	18	volatility	volatility	NOUN
easat-9787	332	19	significantly	significantly	ADV
easat-9787	332	20	.	.	PUNCT
easat-9787	333	1	skewness	skewness	NOUN
easat-9787	333	2	and	and	CCONJ
easat-9787	333	3	kurtosis	kurtosis	VERB
easat-9787	333	4	measures	measure	NOUN
easat-9787	333	5	reveal	reveal	VERB
easat-9787	333	6	both	both	DET
easat-9787	333	7	series	series	NOUN
easat-9787	333	8	possess	possess	VERB
easat-9787	333	9	moderate	moderate	ADJ
easat-9787	333	10	values	value	NOUN
easat-9787	333	11	but	but	CCONJ
easat-9787	333	12	keep	keep	VERB
easat-9787	333	13	their	their	PRON
easat-9787	333	14	directional	directional	ADJ
easat-9787	333	15	trends	trend	NOUN
easat-9787	333	16	,	,	PUNCT
easat-9787	333	17	specifically	specifically	ADV
easat-9787	333	18	negative	negative	ADJ
easat-9787	333	19	skewness	skewness	NOUN
easat-9787	333	20	and	and	CCONJ
easat-9787	333	21	high	high	ADJ
easat-9787	333	22	kurtosis	kurtosis	NOUN
easat-9787	333	23	in	in	ADP
easat-9787	333	24	usd	usd	PROPN
easat-9787	333	25	/	/	SYM
easat-9787	333	26	gbp	gbp	NOUN
easat-9787	333	27	,	,	PUNCT
easat-9787	333	28	showing	show	VERB
easat-9787	333	29	extreme	extreme	ADJ
easat-9787	333	30	events	event	NOUN
easat-9787	333	31	are	be	AUX
easat-9787	333	32	still	still	ADV
easat-9787	333	33	within	within	ADP
easat-9787	333	34	the	the	DET
easat-9787	333	35	control	control	NOUN
easat-9787	333	36	of	of	ADP
easat-9787	333	37	los	los	PROPN
easat-9787	333	38	.	.	PROPN
easat-9787	333	39	weekly	weekly	ADJ
easat-9787	333	40	averaging	averaging	NOUN
easat-9787	333	41	(	(	PUNCT
easat-9787	333	42	avg	avg	NOUN
easat-9787	333	43	)	)	PUNCT
easat-9787	333	44	yields	yield	VERB
easat-9787	333	45	an	an	DET
easat-9787	333	46	extreme	extreme	ADJ
easat-9787	333	47	decline	decline	NOUN
easat-9787	333	48	in	in	ADP
easat-9787	333	49	standard	standard	ADJ
easat-9787	333	50	deviation	deviation	NOUN
easat-9787	333	51	—	—	PUNCT
easat-9787	333	52	nearly	nearly	ADV
easat-9787	333	53	halving	halve	VERB
easat-9787	333	54	it	it	PRON
easat-9787	333	55	for	for	ADP
easat-9787	333	56	both	both	DET
easat-9787	333	57	series	series	NOUN
easat-9787	333	58	(	(	PUNCT
easat-9787	333	59	down	down	ADP
easat-9787	333	60	to	to	ADP
easat-9787	333	61	~0.0023	~0.0023	PROPN
easat-9787	333	62	for	for	ADP
easat-9787	333	63	usd	usd	NOUN
easat-9787	333	64	/	/	SYM
easat-9787	333	65	eur	eur	NOUN
easat-9787	333	66	)	)	PUNCT
easat-9787	333	67	—	—	PUNCT
easat-9787	333	68	as	as	SCONJ
easat-9787	333	69	short	short	ADJ
easat-9787	333	70	-	-	PUNCT
easat-9787	333	71	run	run	NOUN
easat-9787	333	72	volatility	volatility	NOUN
easat-9787	333	73	is	be	AUX
easat-9787	333	74	smoothed	smooth	VERB
easat-9787	333	75	.	.	PUNCT
easat-9787	334	1	skewness	skewness	NOUN
easat-9787	334	2	and	and	CCONJ
easat-9787	334	3	kurtosis	kurtosis	NOUN
easat-9787	334	4	are	be	AUX
easat-9787	334	5	also	also	ADV
easat-9787	334	6	biased	bias	VERB
easat-9787	334	7	toward	toward	ADP
easat-9787	334	8	more	more	ADV
easat-9787	334	9	normal	normal	ADJ
easat-9787	334	10	values	value	NOUN
easat-9787	334	11	by	by	ADP
easat-9787	334	12	averaging	average	VERB
easat-9787	334	13	,	,	PUNCT
easat-9787	334	14	which	which	PRON
easat-9787	334	15	indicates	indicate	VERB
easat-9787	334	16	that	that	SCONJ
easat-9787	334	17	this	this	DET
easat-9787	334	18	process	process	NOUN
easat-9787	334	19	reduces	reduce	VERB
easat-9787	334	20	fat	fat	ADJ
easat-9787	334	21	tails	tail	NOUN
easat-9787	334	22	and	and	CCONJ
easat-9787	334	23	asymmetries	asymmetry	NOUN
easat-9787	334	24	of	of	ADP
easat-9787	334	25	the	the	DET
easat-9787	334	26	distribution	distribution	NOUN
easat-9787	334	27	of	of	ADP
easat-9787	334	28	returns	return	NOUN
easat-9787	334	29	.	.	PUNCT
easat-9787	335	1	at	at	ADP
easat-9787	335	2	a	a	DET
easat-9787	335	3	monthly	monthly	ADJ
easat-9787	335	4	frequency	frequency	NOUN
easat-9787	335	5	,	,	PUNCT
easat-9787	335	6	the	the	DET
easat-9787	335	7	patterns	pattern	NOUN
easat-9787	335	8	observed	observe	VERB
easat-9787	335	9	at	at	ADP
easat-9787	335	10	weekly	weekly	ADJ
easat-9787	335	11	frequencies	frequency	NOUN
easat-9787	335	12	are	be	AUX
easat-9787	335	13	even	even	ADV
easat-9787	335	14	more	more	ADV
easat-9787	335	15	dramatic	dramatic	ADJ
easat-9787	335	16	.	.	PUNCT
easat-9787	336	1	monthly	monthly	ADJ
easat-9787	336	2	los	los	PROPN
easat-9787	336	3	still	still	ADV
easat-9787	336	4	retains	retain	VERB
easat-9787	336	5	more	more	ADJ
easat-9787	336	6	distributional	distributional	ADJ
easat-9787	336	7	skewness	skewness	NOUN
easat-9787	336	8	and	and	CCONJ
easat-9787	336	9	volatility	volatility	NOUN
easat-9787	336	10	,	,	PUNCT
easat-9787	336	11	while	while	SCONJ
easat-9787	336	12	monthly	monthly	ADJ
easat-9787	336	13	avg	avg	NOUN
easat-9787	336	14	produces	produce	VERB
easat-9787	336	15	an	an	DET
easat-9787	336	16	even	even	ADJ
easat-9787	336	17	reduction	reduction	NOUN
easat-9787	336	18	in	in	ADP
easat-9787	336	19	standard	standard	ADJ
easat-9787	336	20	deviation	deviation	NOUN
easat-9787	336	21	and	and	CCONJ
easat-9787	336	22	continued	continued	ADJ
easat-9787	336	23	normalization	normalization	NOUN
easat-9787	336	24	of	of	ADP
easat-9787	336	25	higher	high	ADJ
easat-9787	336	26	-	-	PUNCT
easat-9787	336	27	order	order	NOUN
easat-9787	336	28	moments	moment	NOUN
easat-9787	336	29	.	.	PUNCT
easat-9787	337	1	for	for	ADP
easat-9787	337	2	239	239	NUM
easat-9787	337	3	edelweiss	edelweiss	PROPN
easat-9787	337	4	applied	apply	VERB
easat-9787	337	5	science	science	NOUN
easat-9787	337	6	and	and	CCONJ
easat-9787	337	7	technology	technology	NOUN
easat-9787	337	8	issn	issn	PROPN
easat-9787	337	9	:	:	PUNCT
easat-9787	337	10	2576	2576	NUM
easat-9787	337	11	-	-	SYM
easat-9787	337	12	8484	8484	NUM
easat-9787	337	13	vol	vol	NOUN
easat-9787	337	14	.	.	PROPN
easat-9787	337	15	9	9	NUM
easat-9787	337	16	,	,	PUNCT
easat-9787	337	17	no	no	INTJ
easat-9787	337	18	.	.	NOUN
easat-9787	337	19	9	9	NUM
easat-9787	337	20	:	:	SYM
easat-9787	337	21	226	226	NUM
easat-9787	337	22	-	-	SYM
easat-9787	337	23	244	244	NUM
easat-9787	337	24	,	,	PUNCT
easat-9787	337	25	2025	2025	NUM
easat-9787	337	26	doi	doi	NOUN
easat-9787	337	27	:	:	PUNCT
easat-9787	337	28	10.55214/2576	10.55214/2576	NUM
easat-9787	337	29	-	-	PUNCT
easat-9787	337	30	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	337	31	©	©	PROPN
easat-9787	337	32	2025	2025	NUM
easat-9787	337	33	by	by	ADP
easat-9787	337	34	the	the	DET
easat-9787	337	35	author	author	NOUN
easat-9787	337	36	;	;	PUNCT
easat-9787	337	37	licensee	licensee	PROPN
easat-9787	337	38	learning	learning	PROPN
easat-9787	337	39	gate	gate	PROPN
easat-9787	337	40	instance	instance	PROPN
easat-9787	337	41	,	,	PUNCT
easat-9787	337	42	usd	usd	NOUN
easat-9787	337	43	/	/	SYM
easat-9787	337	44	gbp	gbp	NOUN
easat-9787	337	45	under	under	ADP
easat-9787	337	46	monthly	monthly	ADJ
easat-9787	337	47	avg	avg	NOUN
easat-9787	337	48	shows	show	VERB
easat-9787	337	49	lower	low	ADJ
easat-9787	337	50	kurtosis	kurtosis	NOUN
easat-9787	337	51	and	and	CCONJ
easat-9787	337	52	reduced	reduce	VERB
easat-9787	337	53	skewness	skewness	NOUN
easat-9787	337	54	compared	compare	VERB
easat-9787	337	55	to	to	ADP
easat-9787	337	56	daily	daily	ADJ
easat-9787	337	57	or	or	CCONJ
easat-9787	337	58	los	los	PROPN
easat-9787	337	59	data	data	PROPN
easat-9787	337	60	.	.	PUNCT
easat-9787	338	1	the	the	DET
easat-9787	338	2	number	number	NOUN
easat-9787	338	3	of	of	ADP
easat-9787	338	4	observations	observation	NOUN
easat-9787	338	5	,	,	PUNCT
easat-9787	338	6	naturally	naturally	ADV
easat-9787	338	7	,	,	PUNCT
easat-9787	338	8	declines	decline	VERB
easat-9787	338	9	with	with	ADP
easat-9787	338	10	higher	high	ADJ
easat-9787	338	11	aggregation	aggregation	NOUN
easat-9787	338	12	levels	level	NOUN
easat-9787	338	13	,	,	PUNCT
easat-9787	338	14	from	from	ADP
easat-9787	338	15	over	over	ADP
easat-9787	338	16	6,600	6,600	NUM
easat-9787	338	17	daily	daily	ADJ
easat-9787	338	18	observations	observation	NOUN
easat-9787	338	19	to	to	ADP
easat-9787	338	20	around	around	ADV
easat-9787	338	21	950	950	NUM
easat-9787	338	22	at	at	ADP
easat-9787	338	23	the	the	DET
easat-9787	338	24	weekly	weekly	ADJ
easat-9787	338	25	level	level	NOUN
easat-9787	338	26	and	and	CCONJ
easat-9787	338	27	even	even	ADV
easat-9787	338	28	fewer	few	ADJ
easat-9787	338	29	at	at	ADP
easat-9787	338	30	the	the	DET
easat-9787	338	31	monthly	monthly	ADJ
easat-9787	338	32	level	level	NOUN
easat-9787	338	33	,	,	PUNCT
easat-9787	338	34	which	which	PRON
easat-9787	338	35	may	may	AUX
easat-9787	338	36	also	also	ADV
easat-9787	338	37	affect	affect	VERB
easat-9787	338	38	the	the	DET
easat-9787	338	39	precision	precision	NOUN
easat-9787	338	40	of	of	ADP
easat-9787	338	41	subsequent	subsequent	ADJ
easat-9787	338	42	econometric	econometric	ADJ
easat-9787	338	43	tests	test	NOUN
easat-9787	338	44	.	.	PUNCT
easat-9787	339	1	overall	overall	ADV
easat-9787	339	2	,	,	PUNCT
easat-9787	339	3	these	these	DET
easat-9787	339	4	results	result	NOUN
easat-9787	339	5	confirm	confirm	VERB
easat-9787	339	6	that	that	DET
easat-9787	339	7	temporal	temporal	ADJ
easat-9787	339	8	aggregation	aggregation	NOUN
easat-9787	339	9	,	,	PUNCT
easat-9787	339	10	and	and	CCONJ
easat-9787	339	11	in	in	ADP
easat-9787	339	12	particular	particular	ADJ
easat-9787	339	13	averaging	averaging	NOUN
easat-9787	339	14	,	,	PUNCT
easat-9787	339	15	reduces	reduce	VERB
easat-9787	339	16	variability	variability	NOUN
easat-9787	339	17	,	,	PUNCT
easat-9787	339	18	extremity	extremity	NOUN
easat-9787	339	19	,	,	PUNCT
easat-9787	339	20	and	and	CCONJ
easat-9787	339	21	skewness	skewness	NOUN
easat-9787	339	22	in	in	ADP
easat-9787	339	23	the	the	DET
easat-9787	339	24	series	series	NOUN
easat-9787	339	25	of	of	ADP
easat-9787	339	26	returns	return	NOUN
easat-9787	339	27	.	.	PUNCT
easat-9787	340	1	this	this	PRON
easat-9787	340	2	has	have	VERB
easat-9787	340	3	important	important	ADJ
easat-9787	340	4	implications	implication	NOUN
easat-9787	340	5	for	for	ADP
easat-9787	340	6	the	the	DET
easat-9787	340	7	testing	testing	NOUN
easat-9787	340	8	of	of	ADP
easat-9787	340	9	autocorrelation	autocorrelation	NOUN
easat-9787	340	10	because	because	SCONJ
easat-9787	340	11	suppression	suppression	NOUN
easat-9787	340	12	of	of	ADP
easat-9787	340	13	short	short	ADJ
easat-9787	340	14	-	-	PUNCT
easat-9787	340	15	run	run	NOUN
easat-9787	340	16	dynamics	dynamic	NOUN
easat-9787	340	17	by	by	ADP
easat-9787	340	18	averaging	average	VERB
easat-9787	340	19	can	can	AUX
easat-9787	340	20	hide	hide	VERB
easat-9787	340	21	underlying	underlying	ADJ
easat-9787	340	22	structure	structure	NOUN
easat-9787	340	23	and	and	CCONJ
easat-9787	340	24	reduce	reduce	VERB
easat-9787	340	25	the	the	DET
easat-9787	340	26	power	power	NOUN
easat-9787	340	27	of	of	ADP
easat-9787	340	28	tests	test	NOUN
easat-9787	340	29	like	like	ADP
easat-9787	340	30	the	the	DET
easat-9787	340	31	durbin	durbin	ADJ
easat-9787	340	32	-	-	PUNCT
easat-9787	340	33	watson	watson	PROPN
easat-9787	340	34	statistic	statistic	NOUN
easat-9787	340	35	.	.	PUNCT
easat-9787	341	1	distributional	distributional	ADJ
easat-9787	341	2	changes	change	NOUN
easat-9787	341	3	also	also	ADV
easat-9787	341	4	mean	mean	VERB
easat-9787	341	5	that	that	SCONJ
easat-9787	341	6	volatility	volatility	NOUN
easat-9787	341	7	modeling	modeling	NOUN
easat-9787	341	8	,	,	PUNCT
easat-9787	341	9	risk	risk	NOUN
easat-9787	341	10	analysis	analysis	NOUN
easat-9787	341	11	,	,	PUNCT
easat-9787	341	12	and	and	CCONJ
easat-9787	341	13	hypothesis	hypothesis	NOUN
easat-9787	341	14	testing	testing	NOUN
easat-9787	341	15	will	will	AUX
easat-9787	341	16	produce	produce	VERB
easat-9787	341	17	vastly	vastly	ADV
easat-9787	341	18	different	different	ADJ
easat-9787	341	19	results	result	NOUN
easat-9787	341	20	depending	depend	VERB
easat-9787	341	21	on	on	ADP
easat-9787	341	22	the	the	DET
easat-9787	341	23	aggregation	aggregation	NOUN
easat-9787	341	24	level	level	NOUN
easat-9787	341	25	and	and	CCONJ
easat-9787	341	26	aggregation	aggregation	NOUN
easat-9787	341	27	method	method	NOUN
easat-9787	341	28	,	,	PUNCT
easat-9787	341	29	and	and	CCONJ
easat-9787	341	30	hence	hence	ADV
easat-9787	341	31	emphasize	emphasize	VERB
easat-9787	341	32	the	the	DET
easat-9787	341	33	importance	importance	NOUN
easat-9787	341	34	of	of	ADP
easat-9787	341	35	frequency	frequency	NOUN
easat-9787	341	36	-	-	PUNCT
easat-9787	341	37	conscious	conscious	ADJ
easat-9787	341	38	diagnostics	diagnostic	NOUN
easat-9787	341	39	in	in	ADP
easat-9787	341	40	financial	financial	ADJ
easat-9787	341	41	time	time	NOUN
easat-9787	341	42	series	series	PROPN
easat-9787	341	43	analysis	analysis	NOUN
easat-9787	341	44	.	.	PUNCT
easat-9787	342	1	table	table	NOUN
easat-9787	342	2	8	8	NUM
easat-9787	342	3	.	.	PUNCT
easat-9787	343	1	durbin	durbin	ADJ
easat-9787	343	2	-	-	PUNCT
easat-9787	343	3	watson	watson	PROPN
easat-9787	343	4	statistics	statistic	NOUN
easat-9787	343	5	across	across	ADP
easat-9787	343	6	different	different	ADJ
easat-9787	343	7	aggregation	aggregation	NOUN
easat-9787	343	8	levels	level	NOUN
easat-9787	343	9	and	and	CCONJ
easat-9787	343	10	methods	method	NOUN
easat-9787	343	11	for	for	ADP
easat-9787	343	12	both	both	DET
easat-9787	343	13	the	the	DET
easat-9787	343	14	usd	usd	NOUN
easat-9787	343	15	/	/	SYM
easat-9787	343	16	eur	eur	NOUN
easat-9787	343	17	and	and	CCONJ
easat-9787	343	18	usd	usd	ADJ
easat-9787	343	19	/	/	SYM
easat-9787	343	20	gbp	gbp	NOUN
easat-9787	343	21	exchange	exchange	NOUN
easat-9787	343	22	rates	rate	NOUN
easat-9787	343	23	.	.	PUNCT
easat-9787	344	1	frequency	frequency	NOUN
easat-9787	344	2	method	method	PROPN
easat-9787	344	3	series	series	PROPN
easat-9787	344	4	dw	dw	PROPN
easat-9787	344	5	daily	daily	ADV
easat-9787	344	6	none	none	NOUN
easat-9787	344	7	usdeur	usdeur	ADJ
easat-9787	344	8	1.999572	1.999572	NUM
easat-9787	344	9	weekly	weekly	ADJ
easat-9787	344	10	los	los	PROPN
easat-9787	344	11	usdeur	usdeur	ADJ
easat-9787	344	12	1.99237	1.99237	NUM
easat-9787	344	13	weekly	weekly	ADJ
easat-9787	344	14	avg	avg	NOUN
easat-9787	344	15	usdeur	usdeur	NOUN
easat-9787	344	16	2.000502	2.000502	NUM
easat-9787	344	17	monthly	monthly	ADJ
easat-9787	344	18	los	los	PROPN
easat-9787	344	19	usdeur	usdeur	NOUN
easat-9787	344	20	2.006686	2.006686	NUM
easat-9787	344	21	monthly	monthly	ADJ
easat-9787	344	22	avg	avg	NOUN
easat-9787	344	23	usdeur	usdeur	NOUN
easat-9787	344	24	1.990571	1.990571	NUM
easat-9787	344	25	daily	daily	ADJ
easat-9787	344	26	none	none	NOUN
easat-9787	344	27	usdgbp	usdgbp	NOUN
easat-9787	344	28	2.000043	2.000043	NUM
easat-9787	344	29	weekly	weekly	ADJ
easat-9787	344	30	los	los	PROPN
easat-9787	344	31	usdgbp	usdgbp	PROPN
easat-9787	344	32	1.999751	1.999751	NUM
easat-9787	344	33	weekly	weekly	ADJ
easat-9787	344	34	avg	avg	NOUN
easat-9787	344	35	usdgbp	usdgbp	PROPN
easat-9787	344	36	1.998211	1.998211	NUM
easat-9787	344	37	monthly	monthly	ADJ
easat-9787	344	38	los	los	PROPN
easat-9787	344	39	usdgbp	usdgbp	NOUN
easat-9787	344	40	1.991	1.991	NUM
easat-9787	344	41	monthly	monthly	ADJ
easat-9787	344	42	avg	avg	NOUN
easat-9787	344	43	usdgbp	usdgbp	PROPN
easat-9787	344	44	1.975898	1.975898	NUM
easat-9787	344	45	next	next	ADV
easat-9787	344	46	,	,	PUNCT
easat-9787	344	47	we	we	PRON
easat-9787	344	48	proceed	proceed	VERB
easat-9787	344	49	with	with	ADP
easat-9787	344	50	the	the	DET
easat-9787	344	51	empirical	empirical	ADJ
easat-9787	344	52	analysis	analysis	NOUN
easat-9787	344	53	to	to	PART
easat-9787	344	54	assess	assess	VERB
easat-9787	344	55	how	how	SCONJ
easat-9787	344	56	well	well	ADV
easat-9787	344	57	the	the	DET
easat-9787	344	58	durbin	durbin	ADJ
easat-9787	344	59	-	-	PUNCT
easat-9787	344	60	watson	watson	NOUN
easat-9787	344	61	test	test	NOUN
easat-9787	344	62	fares	fare	NOUN
easat-9787	344	63	for	for	ADP
easat-9787	344	64	different	different	ADJ
easat-9787	344	65	temporal	temporal	ADJ
easat-9787	344	66	aggregation	aggregation	NOUN
easat-9787	344	67	levels	level	NOUN
easat-9787	344	68	,	,	PUNCT
easat-9787	344	69	based	base	VERB
easat-9787	344	70	on	on	ADP
easat-9787	344	71	the	the	DET
easat-9787	344	72	monte	monte	PROPN
easat-9787	344	73	carlo	carlo	PROPN
easat-9787	344	74	simulation	simulation	PROPN
easat-9787	344	75	design	design	PROPN
easat-9787	344	76	.	.	PUNCT
easat-9787	345	1	table	table	NOUN
easat-9787	345	2	8	8	NUM
easat-9787	345	3	presents	present	VERB
easat-9787	345	4	the	the	DET
easat-9787	345	5	durbin	durbin	ADJ
easat-9787	345	6	-	-	PUNCT
easat-9787	345	7	watson	watson	NOUN
easat-9787	345	8	statistics	statistic	NOUN
easat-9787	345	9	for	for	ADP
easat-9787	345	10	various	various	ADJ
easat-9787	345	11	aggregation	aggregation	NOUN
easat-9787	345	12	levels	level	NOUN
easat-9787	345	13	and	and	CCONJ
easat-9787	345	14	with	with	ADP
easat-9787	345	15	alternative	alternative	ADJ
easat-9787	345	16	methods	method	NOUN
easat-9787	345	17	for	for	ADP
easat-9787	345	18	both	both	PRON
easat-9787	345	19	usd	usd	NOUN
easat-9787	345	20	/	/	SYM
easat-9787	345	21	eur	eur	NOUN
easat-9787	345	22	and	and	CCONJ
easat-9787	345	23	usd	usd	ADJ
easat-9787	345	24	/	/	SYM
easat-9787	345	25	gbp	gbp	NOUN
easat-9787	345	26	exchange	exchange	NOUN
easat-9787	345	27	rates	rate	NOUN
easat-9787	345	28	.	.	PUNCT
easat-9787	346	1	these	these	DET
easat-9787	346	2	empirical	empirical	ADJ
easat-9787	346	3	results	result	NOUN
easat-9787	346	4	can	can	AUX
easat-9787	346	5	be	be	AUX
easat-9787	346	6	contrasted	contrast	VERB
easat-9787	346	7	with	with	ADP
easat-9787	346	8	the	the	DET
easat-9787	346	9	outcomes	outcome	NOUN
easat-9787	346	10	of	of	ADP
easat-9787	346	11	simulations	simulation	NOUN
easat-9787	346	12	in	in	ADP
easat-9787	346	13	order	order	NOUN
easat-9787	346	14	to	to	PART
easat-9787	346	15	ascertain	ascertain	VERB
easat-9787	346	16	whether	whether	SCONJ
easat-9787	346	17	temporal	temporal	ADJ
easat-9787	346	18	aggregation	aggregation	NOUN
easat-9787	346	19	mitigates	mitigate	VERB
easat-9787	346	20	the	the	DET
easat-9787	346	21	detection	detection	NOUN
easat-9787	346	22	of	of	ADP
easat-9787	346	23	autocorrelation	autocorrelation	NOUN
easat-9787	346	24	.	.	PUNCT
easat-9787	347	1	the	the	DET
easat-9787	347	2	empirical	empirical	ADJ
easat-9787	347	3	results	result	NOUN
easat-9787	347	4	confirm	confirm	VERB
easat-9787	347	5	core	core	NOUN
easat-9787	347	6	findings	finding	NOUN
easat-9787	347	7	of	of	ADP
easat-9787	347	8	monte	monte	PROPN
easat-9787	347	9	carlo	carlo	PROPN
easat-9787	347	10	simulations	simulation	NOUN
easat-9787	347	11	,	,	PUNCT
easat-9787	347	12	namely	namely	ADV
easat-9787	347	13	the	the	DET
easat-9787	347	14	impact	impact	NOUN
easat-9787	347	15	of	of	ADP
easat-9787	347	16	temporal	temporal	ADJ
easat-9787	347	17	aggregation	aggregation	NOUN
easat-9787	347	18	on	on	ADP
easat-9787	347	19	the	the	DET
easat-9787	347	20	power	power	NOUN
easat-9787	347	21	of	of	ADP
easat-9787	347	22	the	the	DET
easat-9787	347	23	durbin	durbin	NOUN
easat-9787	347	24	-	-	PUNCT
easat-9787	347	25	watson	watson	NOUN
easat-9787	347	26	(	(	PUNCT
easat-9787	347	27	dw	dw	NOUN
easat-9787	347	28	)	)	PUNCT
easat-9787	347	29	test	test	NOUN
easat-9787	347	30	to	to	PART
easat-9787	347	31	detect	detect	VERB
easat-9787	347	32	serial	serial	ADJ
easat-9787	347	33	correlation	correlation	NOUN
easat-9787	347	34	.	.	PUNCT
easat-9787	348	1	the	the	DET
easat-9787	348	2	dw	dw	PROPN
easat-9787	348	3	test	test	NOUN
easat-9787	348	4	is	be	AUX
easat-9787	348	5	approximately	approximately	ADV
easat-9787	348	6	1.999	1.999	NUM
easat-9787	348	7	for	for	ADP
easat-9787	348	8	the	the	DET
easat-9787	348	9	daily	daily	ADJ
easat-9787	348	10	log	log	NOUN
easat-9787	348	11	return	return	NOUN
easat-9787	348	12	series	series	NOUN
easat-9787	348	13	of	of	ADP
easat-9787	348	14	the	the	DET
easat-9787	348	15	usd	usd	PROPN
easat-9787	348	16	/	/	SYM
easat-9787	348	17	eur	eur	NOUN
easat-9787	348	18	exchange	exchange	NOUN
easat-9787	348	19	rate	rate	NOUN
easat-9787	348	20	,	,	PUNCT
easat-9787	348	21	showing	show	VERB
easat-9787	348	22	minimal	minimal	ADJ
easat-9787	348	23	or	or	CCONJ
easat-9787	348	24	no	no	DET
easat-9787	348	25	detectable	detectable	ADJ
easat-9787	348	26	autocorrelation	autocorrelation	NOUN
easat-9787	348	27	in	in	ADP
easat-9787	348	28	the	the	DET
easat-9787	348	29	ar(1	ar(1	NOUN
easat-9787	348	30	)	)	PUNCT
easat-9787	348	31	model	model	NOUN
easat-9787	348	32	residuals	residual	NOUN
easat-9787	348	33	.	.	PUNCT
easat-9787	349	1	this	this	PRON
easat-9787	349	2	is	be	AUX
easat-9787	349	3	consistent	consistent	ADJ
easat-9787	349	4	with	with	ADP
easat-9787	349	5	expectations	expectation	NOUN
easat-9787	349	6	of	of	ADP
easat-9787	349	7	high	high	ADJ
easat-9787	349	8	-	-	PUNCT
easat-9787	349	9	frequency	frequency	NOUN
easat-9787	349	10	financial	financial	ADJ
easat-9787	349	11	returns	return	NOUN
easat-9787	349	12	,	,	PUNCT
easat-9787	349	13	which	which	PRON
easat-9787	349	14	tend	tend	VERB
easat-9787	349	15	to	to	PART
easat-9787	349	16	simulate	simulate	VERB
easat-9787	349	17	white	white	ADJ
easat-9787	349	18	noise	noise	NOUN
easat-9787	349	19	behavior	behavior	NOUN
easat-9787	349	20	as	as	ADP
easat-9787	349	21	a	a	DET
easat-9787	349	22	result	result	NOUN
easat-9787	349	23	of	of	ADP
easat-9787	349	24	market	market	NOUN
easat-9787	349	25	efficiency	efficiency	NOUN
easat-9787	349	26	and	and	CCONJ
easat-9787	349	27	liquidity	liquidity	NOUN
easat-9787	349	28	.	.	PUNCT
easat-9787	350	1	the	the	DET
easat-9787	350	2	values	value	NOUN
easat-9787	350	3	of	of	ADP
easat-9787	350	4	dw	dw	PROPN
easat-9787	350	5	remain	remain	VERB
easat-9787	350	6	close	close	ADJ
easat-9787	350	7	to	to	ADP
easat-9787	350	8	2.0	2.0	NUM
easat-9787	350	9	as	as	SCONJ
easat-9787	350	10	the	the	DET
easat-9787	350	11	data	data	NOUN
easat-9787	350	12	is	be	AUX
easat-9787	350	13	moved	move	VERB
easat-9787	350	14	towards	towards	ADP
easat-9787	350	15	aggregation	aggregation	NOUN
easat-9787	350	16	:	:	PUNCT
easat-9787	350	17	1.992	1.992	NUM
easat-9787	350	18	for	for	ADP
easat-9787	350	19	weekly	weekly	ADJ
easat-9787	350	20	los	los	PROPN
easat-9787	350	21	,	,	PUNCT
easat-9787	350	22	2.001	2.001	NUM
easat-9787	350	23	for	for	ADP
easat-9787	350	24	weekly	weekly	ADJ
easat-9787	350	25	avg	avg	NOUN
easat-9787	350	26	,	,	PUNCT
easat-9787	350	27	and	and	CCONJ
easat-9787	350	28	corresponding	correspond	VERB
easat-9787	350	29	values	value	NOUN
easat-9787	350	30	of	of	ADP
easat-9787	350	31	2.007	2.007	NUM
easat-9787	350	32	and	and	CCONJ
easat-9787	350	33	1.991	1.991	NUM
easat-9787	350	34	for	for	ADP
easat-9787	350	35	monthly	monthly	ADJ
easat-9787	350	36	los	los	PROPN
easat-9787	350	37	and	and	CCONJ
easat-9787	350	38	avg	avg	PROPN
easat-9787	350	39	,	,	PUNCT
easat-9787	350	40	respectively	respectively	ADV
easat-9787	350	41	.	.	PUNCT
easat-9787	351	1	these	these	DET
easat-9787	351	2	results	result	NOUN
easat-9787	351	3	suggest	suggest	VERB
easat-9787	351	4	that	that	SCONJ
easat-9787	351	5	for	for	ADP
easat-9787	351	6	the	the	DET
easat-9787	351	7	usd	usd	PROPN
easat-9787	351	8	/	/	SYM
easat-9787	351	9	eur	eur	NOUN
easat-9787	351	10	series	series	NOUN
easat-9787	351	11	,	,	PUNCT
easat-9787	351	12	aggregation	aggregation	NOUN
easat-9787	351	13	introduces	introduce	NOUN
easat-9787	351	14	only	only	ADV
easat-9787	351	15	minor	minor	ADJ
easat-9787	351	16	shifts	shift	NOUN
easat-9787	351	17	in	in	ADP
easat-9787	351	18	the	the	DET
easat-9787	351	19	dw	dw	PROPN
easat-9787	351	20	statistic	statistic	NOUN
easat-9787	351	21	,	,	PUNCT
easat-9787	351	22	potentially	potentially	ADV
easat-9787	351	23	because	because	SCONJ
easat-9787	351	24	the	the	DET
easat-9787	351	25	autocorrelation	autocorrelation	NOUN
easat-9787	351	26	structure	structure	NOUN
easat-9787	351	27	is	be	AUX
easat-9787	351	28	already	already	ADV
easat-9787	351	29	weak	weak	ADJ
easat-9787	351	30	in	in	ADP
easat-9787	351	31	the	the	DET
easat-9787	351	32	unaggregated	unaggregated	ADJ
easat-9787	351	33	data	datum	NOUN
easat-9787	351	34	.	.	PUNCT
easat-9787	352	1	the	the	DET
easat-9787	352	2	small	small	ADJ
easat-9787	352	3	oscillations	oscillation	NOUN
easat-9787	352	4	around	around	ADP
easat-9787	352	5	2	2	NUM
easat-9787	352	6	imply	imply	NOUN
easat-9787	352	7	that	that	SCONJ
easat-9787	352	8	the	the	DET
easat-9787	352	9	test	test	NOUN
easat-9787	352	10	fails	fail	VERB
easat-9787	352	11	to	to	PART
easat-9787	352	12	detect	detect	VERB
easat-9787	352	13	autocorrelation	autocorrelation	NOUN
easat-9787	352	14	at	at	ADP
easat-9787	352	15	any	any	DET
easat-9787	352	16	level	level	NOUN
easat-9787	352	17	of	of	ADP
easat-9787	352	18	aggregation	aggregation	NOUN
easat-9787	352	19	,	,	PUNCT
easat-9787	352	20	consistent	consistent	ADJ
easat-9787	352	21	with	with	ADP
easat-9787	352	22	the	the	DET
easat-9787	352	23	simulation	simulation	NOUN
easat-9787	352	24	’s	’s	PART
easat-9787	352	25	observation	observation	NOUN
easat-9787	352	26	that	that	SCONJ
easat-9787	352	27	the	the	DET
easat-9787	352	28	dw	dw	PROPN
easat-9787	352	29	test	test	NOUN
easat-9787	352	30	quickly	quickly	ADV
easat-9787	352	31	loses	lose	VERB
easat-9787	352	32	power	power	NOUN
easat-9787	352	33	when	when	SCONJ
easat-9787	352	34	autocorrelation	autocorrelation	NOUN
easat-9787	352	35	is	be	AUX
easat-9787	352	36	moderate	moderate	ADJ
easat-9787	352	37	or	or	CCONJ
easat-9787	352	38	masked	mask	VERB
easat-9787	352	39	by	by	ADP
easat-9787	352	40	smoothing	smooth	VERB
easat-9787	352	41	.	.	PUNCT
easat-9787	353	1	the	the	DET
easat-9787	353	2	same	same	ADJ
easat-9787	353	3	pattern	pattern	NOUN
easat-9787	353	4	occurs	occur	VERB
easat-9787	353	5	for	for	ADP
easat-9787	353	6	the	the	DET
easat-9787	353	7	usd	usd	NOUN
easat-9787	353	8	/	/	SYM
easat-9787	353	9	gbp	gbp	NOUN
easat-9787	353	10	series	series	NOUN
easat-9787	353	11	.	.	PUNCT
easat-9787	354	1	the	the	DET
easat-9787	354	2	dw	dw	PROPN
easat-9787	354	3	statistic	statistic	NOUN
easat-9787	354	4	is	be	AUX
easat-9787	354	5	roughly	roughly	ADV
easat-9787	354	6	2.003	2.003	NUM
easat-9787	354	7	at	at	ADP
easat-9787	354	8	the	the	DET
easat-9787	354	9	daily	daily	ADJ
easat-9787	354	10	frequency	frequency	NOUN
easat-9787	354	11	,	,	PUNCT
easat-9787	354	12	which	which	PRON
easat-9787	354	13	again	again	ADV
easat-9787	354	14	confirms	confirm	VERB
easat-9787	354	15	a	a	DET
easat-9787	354	16	lack	lack	NOUN
easat-9787	354	17	of	of	ADP
easat-9787	354	18	strong	strong	ADJ
easat-9787	354	19	serial	serial	ADJ
easat-9787	354	20	correlation	correlation	NOUN
easat-9787	354	21	in	in	ADP
easat-9787	354	22	the	the	DET
easat-9787	354	23	ar(1	ar(1	NOUN
easat-9787	354	24	)	)	PUNCT
easat-9787	354	25	residuals	residual	NOUN
easat-9787	354	26	.	.	PUNCT
easat-9787	355	1	the	the	DET
easat-9787	355	2	dw	dw	PROPN
easat-9787	355	3	values	value	NOUN
easat-9787	355	4	at	at	ADP
easat-9787	355	5	weekly	weekly	ADJ
easat-9787	355	6	and	and	CCONJ
easat-9787	355	7	monthly	monthly	ADJ
easat-9787	355	8	frequencies	frequency	NOUN
easat-9787	355	9	—	—	PUNCT
easat-9787	355	10	under	under	ADP
easat-9787	355	11	both	both	DET
easat-9787	355	12	los	los	PROPN
easat-9787	355	13	and	and	CCONJ
easat-9787	355	14	avg	avg	PROPN
easat-9787	355	15	—	—	PUNCT
easat-9787	355	16	are	be	AUX
easat-9787	355	17	all	all	PRON
easat-9787	355	18	closely	closely	ADV
easat-9787	355	19	bunched	bunch	VERB
easat-9787	355	20	around	around	ADP
easat-9787	355	21	2.0	2.0	NUM
easat-9787	355	22	,	,	PUNCT
easat-9787	355	23	as	as	ADP
easat-9787	355	24	with	with	ADP
easat-9787	355	25	usd	usd	NOUN
easat-9787	355	26	/	/	SYM
easat-9787	355	27	eur	eur	NOUN
easat-9787	355	28	.	.	PUNCT
easat-9787	356	1	notably	notably	ADV
easat-9787	356	2	,	,	PUNCT
easat-9787	356	3	monthly	monthly	ADJ
easat-9787	356	4	avg	avg	NOUN
easat-9787	356	5	has	have	VERB
easat-9787	356	6	a	a	DET
easat-9787	356	7	marginally	marginally	ADV
easat-9787	356	8	higher	high	ADJ
easat-9787	356	9	dw	dw	NOUN
easat-9787	356	10	value	value	NOUN
easat-9787	356	11	(	(	PUNCT
easat-9787	356	12	2.019	2.019	NUM
easat-9787	356	13	)	)	PUNCT
easat-9787	356	14	,	,	PUNCT
easat-9787	356	15	perhaps	perhaps	ADV
easat-9787	356	16	because	because	SCONJ
easat-9787	356	17	of	of	ADP
easat-9787	356	18	the	the	DET
easat-9787	356	19	additional	additional	ADJ
easat-9787	356	20	smoothing	smoothing	NOUN
easat-9787	356	21	from	from	ADP
easat-9787	356	22	averaging	average	VERB
easat-9787	356	23	over	over	ADP
easat-9787	356	24	short	short	ADJ
easat-9787	356	25	horizons	horizon	NOUN
easat-9787	356	26	.	.	PUNCT
easat-9787	357	1	the	the	DET
easat-9787	357	2	findings	finding	NOUN
easat-9787	357	3	show	show	VERB
easat-9787	357	4	that	that	SCONJ
easat-9787	357	5	aggregation	aggregation	NOUN
easat-9787	357	6	out	out	ADP
easat-9787	357	7	of	of	ADP
easat-9787	357	8	time	time	NOUN
easat-9787	357	9	has	have	VERB
easat-9787	357	10	little	little	ADJ
easat-9787	357	11	effect	effect	NOUN
easat-9787	357	12	on	on	ADP
easat-9787	357	13	the	the	DET
easat-9787	357	14	test	test	NOUN
easat-9787	357	15	outcomes	outcome	NOUN
easat-9787	357	16	,	,	PUNCT
easat-9787	357	17	but	but	CCONJ
easat-9787	357	18	perhaps	perhaps	ADV
easat-9787	357	19	this	this	DET
easat-9787	357	20	invariance	invariance	NOUN
easat-9787	357	21	is	be	AUX
easat-9787	357	22	deceptive	deceptive	ADJ
easat-9787	357	23	.	.	PUNCT
easat-9787	358	1	as	as	SCONJ
easat-9787	358	2	the	the	DET
easat-9787	358	3	simulations	simulation	NOUN
easat-9787	358	4	have	have	AUX
easat-9787	358	5	shown	show	VERB
easat-9787	358	6	,	,	PUNCT
easat-9787	358	7	the	the	DET
easat-9787	358	8	dw	dw	PROPN
easat-9787	358	9	statistic	statistic	NOUN
easat-9787	358	10	will	will	AUX
easat-9787	358	11	approach	approach	VERB
easat-9787	358	12	2	2	NUM
easat-9787	358	13	when	when	SCONJ
easat-9787	358	14	short	short	ADJ
easat-9787	358	15	-	-	PUNCT
easat-9787	358	16	run	run	NOUN
easat-9787	358	17	behavior	behavior	NOUN
easat-9787	358	18	is	be	AUX
easat-9787	358	19	240	240	NUM
easat-9787	358	20	edelweiss	edelweiss	PROPN
easat-9787	358	21	applied	apply	VERB
easat-9787	358	22	science	science	NOUN
easat-9787	358	23	and	and	CCONJ
easat-9787	358	24	technology	technology	NOUN
easat-9787	358	25	issn	issn	PROPN
easat-9787	358	26	:	:	PUNCT
easat-9787	358	27	2576	2576	NUM
easat-9787	358	28	-	-	SYM
easat-9787	358	29	8484	8484	NUM
easat-9787	358	30	vol	vol	NOUN
easat-9787	358	31	.	.	PROPN
easat-9787	359	1	9	9	NUM
easat-9787	359	2	,	,	PUNCT
easat-9787	359	3	no	no	INTJ
easat-9787	359	4	.	.	NOUN
easat-9787	359	5	9	9	NUM
easat-9787	359	6	:	:	SYM
easat-9787	359	7	226	226	NUM
easat-9787	359	8	-	-	SYM
easat-9787	359	9	244	244	NUM
easat-9787	359	10	,	,	PUNCT
easat-9787	359	11	2025	2025	NUM
easat-9787	359	12	doi	doi	NOUN
easat-9787	359	13	:	:	PUNCT
easat-9787	359	14	10.55214/2576	10.55214/2576	NUM
easat-9787	359	15	-	-	PUNCT
easat-9787	359	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	359	17	©	©	PROPN
easat-9787	359	18	2025	2025	NUM
easat-9787	359	19	by	by	ADP
easat-9787	359	20	the	the	DET
easat-9787	359	21	author	author	NOUN
easat-9787	359	22	;	;	PUNCT
easat-9787	359	23	licensee	licensee	PROPN
easat-9787	359	24	learning	learning	NOUN
easat-9787	359	25	gate	gate	NOUN
easat-9787	359	26	smoothed	smooth	VERB
easat-9787	359	27	by	by	ADP
easat-9787	359	28	aggregation	aggregation	NOUN
easat-9787	359	29	,	,	PUNCT
easat-9787	359	30	even	even	ADV
easat-9787	359	31	if	if	SCONJ
easat-9787	359	32	there	there	PRON
easat-9787	359	33	remains	remain	VERB
easat-9787	359	34	residual	residual	ADJ
easat-9787	359	35	autocorrelation	autocorrelation	NOUN
easat-9787	359	36	.	.	PUNCT
easat-9787	360	1	therefore	therefore	ADV
easat-9787	360	2	,	,	PUNCT
easat-9787	360	3	the	the	DET
easat-9787	360	4	consistently	consistently	ADV
easat-9787	360	5	around-2	around-2	NUM
easat-9787	360	6	values	value	NOUN
easat-9787	360	7	may	may	AUX
easat-9787	360	8	reflect	reflect	VERB
easat-9787	360	9	lost	lose	VERB
easat-9787	360	10	diagnostic	diagnostic	ADJ
easat-9787	360	11	sensitivity	sensitivity	NOUN
easat-9787	360	12	rather	rather	ADV
easat-9787	360	13	than	than	ADP
easat-9787	360	14	a	a	DET
easat-9787	360	15	genuine	genuine	ADJ
easat-9787	360	16	reading	reading	NOUN
easat-9787	360	17	of	of	ADP
easat-9787	360	18	independence	independence	NOUN
easat-9787	360	19	in	in	ADP
easat-9787	360	20	the	the	DET
easat-9787	360	21	data	datum	NOUN
easat-9787	360	22	.	.	PUNCT
easat-9787	361	1	together	together	ADV
easat-9787	361	2	,	,	PUNCT
easat-9787	361	3	these	these	DET
easat-9787	361	4	findings	finding	NOUN
easat-9787	361	5	highlight	highlight	VERB
easat-9787	361	6	an	an	DET
easat-9787	361	7	important	important	ADJ
easat-9787	361	8	empirical	empirical	ADJ
easat-9787	361	9	implication	implication	NOUN
easat-9787	361	10	:	:	PUNCT
easat-9787	361	11	the	the	DET
easat-9787	361	12	durbin	durbin	ADJ
easat-9787	361	13	-	-	PUNCT
easat-9787	361	14	watson	watson	NOUN
easat-9787	361	15	test	test	NOUN
easat-9787	361	16	,	,	PUNCT
easat-9787	361	17	when	when	SCONJ
easat-9787	361	18	applied	apply	VERB
easat-9787	361	19	to	to	ADP
easat-9787	361	20	aggregated	aggregate	VERB
easat-9787	361	21	exchange	exchange	NOUN
easat-9787	361	22	rate	rate	NOUN
easat-9787	361	23	returns	return	NOUN
easat-9787	361	24	,	,	PUNCT
easat-9787	361	25	tends	tend	VERB
easat-9787	361	26	to	to	PART
easat-9787	361	27	suggest	suggest	VERB
easat-9787	361	28	no	no	DET
easat-9787	361	29	autocorrelation	autocorrelation	NOUN
easat-9787	361	30	—	—	PUNCT
easat-9787	361	31	but	but	CCONJ
easat-9787	361	32	this	this	DET
easat-9787	361	33	outcome	outcome	NOUN
easat-9787	361	34	may	may	AUX
easat-9787	361	35	not	not	PART
easat-9787	361	36	be	be	AUX
easat-9787	361	37	reliable	reliable	ADJ
easat-9787	361	38	.	.	PUNCT
easat-9787	362	1	instead	instead	ADV
easat-9787	362	2	,	,	PUNCT
easat-9787	362	3	the	the	DET
easat-9787	362	4	test	test	NOUN
easat-9787	362	5	’s	’s	PART
easat-9787	362	6	inherent	inherent	ADJ
easat-9787	362	7	weakness	weakness	NOUN
easat-9787	362	8	under	under	ADP
easat-9787	362	9	aggregation	aggregation	NOUN
easat-9787	362	10	,	,	PUNCT
easat-9787	362	11	especially	especially	ADV
easat-9787	362	12	when	when	SCONJ
easat-9787	362	13	autocorrelation	autocorrelation	NOUN
easat-9787	362	14	is	be	AUX
easat-9787	362	15	moderate	moderate	ADJ
easat-9787	362	16	or	or	CCONJ
easat-9787	362	17	model	model	ADJ
easat-9787	362	18	misspecification	misspecification	NOUN
easat-9787	362	19	is	be	AUX
easat-9787	362	20	present	present	ADJ
easat-9787	362	21	,	,	PUNCT
easat-9787	362	22	can	can	AUX
easat-9787	362	23	produce	produce	VERB
easat-9787	362	24	false	false	ADJ
easat-9787	362	25	reassurance	reassurance	NOUN
easat-9787	362	26	about	about	ADP
easat-9787	362	27	model	model	NOUN
easat-9787	362	28	adequacy	adequacy	NOUN
easat-9787	362	29	.	.	PUNCT
easat-9787	363	1	this	this	PRON
easat-9787	363	2	supports	support	VERB
easat-9787	363	3	the	the	DET
easat-9787	363	4	findings	finding	NOUN
easat-9787	363	5	of	of	ADP
easat-9787	363	6	the	the	DET
easat-9787	363	7	simulation	simulation	NOUN
easat-9787	363	8	study	study	NOUN
easat-9787	363	9	and	and	CCONJ
easat-9787	363	10	highlights	highlight	NOUN
easat-9787	363	11	the	the	DET
easat-9787	363	12	necessity	necessity	NOUN
easat-9787	363	13	of	of	ADP
easat-9787	363	14	practitioners	practitioner	NOUN
easat-9787	363	15	being	be	AUX
easat-9787	363	16	careful	careful	ADJ
easat-9787	363	17	in	in	ADP
easat-9787	363	18	interpreting	interpret	VERB
easat-9787	363	19	dw	dw	NOUN
easat-9787	363	20	statistics	statistic	NOUN
easat-9787	363	21	from	from	ADP
easat-9787	363	22	financial	financial	ADJ
easat-9787	363	23	data	datum	NOUN
easat-9787	363	24	of	of	ADP
easat-9787	363	25	lower	low	ADJ
easat-9787	363	26	frequency	frequency	NOUN
easat-9787	363	27	.	.	PUNCT
easat-9787	364	1	in	in	ADP
easat-9787	364	2	practice	practice	NOUN
easat-9787	364	3	,	,	PUNCT
easat-9787	364	4	it	it	PRON
easat-9787	364	5	is	be	AUX
easat-9787	364	6	recommended	recommend	VERB
easat-9787	364	7	that	that	SCONJ
easat-9787	364	8	the	the	DET
easat-9787	364	9	dw	dw	PROPN
easat-9787	364	10	test	test	NOUN
easat-9787	364	11	be	be	AUX
easat-9787	364	12	augmented	augment	VERB
easat-9787	364	13	with	with	ADP
easat-9787	364	14	more	more	ADV
easat-9787	364	15	powerful	powerful	ADJ
easat-9787	364	16	diagnostics	diagnostic	NOUN
easat-9787	364	17	—	—	PUNCT
easat-9787	364	18	like	like	ADP
easat-9787	364	19	the	the	DET
easat-9787	364	20	breusch	breusch	NOUN
easat-9787	364	21	-	-	PUNCT
easat-9787	364	22	godfrey	godfrey	NOUN
easat-9787	364	23	test	test	NOUN
easat-9787	364	24	—	—	PUNCT
easat-9787	364	25	when	when	SCONJ
easat-9787	364	26	checking	check	VERB
easat-9787	364	27	for	for	ADP
easat-9787	364	28	autocorrelation	autocorrelation	NOUN
easat-9787	364	29	in	in	ADP
easat-9787	364	30	aggregated	aggregate	VERB
easat-9787	364	31	or	or	CCONJ
easat-9787	364	32	transformed	transform	VERB
easat-9787	364	33	time	time	NOUN
easat-9787	364	34	series	series	NOUN
easat-9787	364	35	.	.	PUNCT
easat-9787	365	1	table	table	NOUN
easat-9787	365	2	9	9	NUM
easat-9787	365	3	.	.	PUNCT
easat-9787	366	1	diagnostic	diagnostic	ADJ
easat-9787	366	2	test	test	NOUN
easat-9787	366	3	comparison	comparison	NOUN
easat-9787	366	4	series	series	PROPN
easat-9787	366	5	aggregation	aggregation	PROPN
easat-9787	366	6	dw	dw	PROPN
easat-9787	366	7	bg	bg	PROPN
easat-9787	366	8	stat	stat	PROPN
easat-9787	366	9	bg	bg	PROPN
easat-9787	366	10	p	p	ADJ
easat-9787	366	11	-	-	PUNCT
easat-9787	366	12	value	value	NOUN
easat-9787	366	13	ljung	ljung	ADJ
easat-9787	366	14	-	-	PUNCT
easat-9787	366	15	box	box	NOUN
easat-9787	366	16	stat	stat	PROPN
easat-9787	366	17	ljung	ljung	PROPN
easat-9787	366	18	-	-	PUNCT
easat-9787	366	19	box	box	NOUN
easat-9787	366	20	p	p	NOUN
easat-9787	366	21	-	-	PUNCT
easat-9787	366	22	value	value	NOUN
easat-9787	366	23	usdeur	usdeur	NOUN
easat-9787	366	24	daily	daily	ADJ
easat-9787	366	25	1.999572	1.999572	NUM
easat-9787	366	26	11.83378	11.83378	NUM
easat-9787	366	27	0.037138	0.037138	NUM
easat-9787	366	28	8.618779	8.618779	NUM
easat-9787	366	29	0.12527	0.12527	NUM
easat-9787	366	30	usdgbp	usdgbp	NOUN
easat-9787	366	31	daily	daily	ADJ
easat-9787	366	32	2.000043	2.000043	NUM
easat-9787	366	33	15.50029	15.50029	NUM
easat-9787	366	34	0.008425	0.008425	NUM
easat-9787	366	35	15.5235	15.5235	NUM
easat-9787	366	36	0.008345	0.008345	NUM
easat-9787	366	37	usdeur	usdeur	ADJ
easat-9787	366	38	weekly	weekly	ADJ
easat-9787	366	39	los	los	NOUN
easat-9787	366	40	1.99237	1.99237	NUM
easat-9787	366	41	8.363731	8.363731	NUM
easat-9787	366	42	0.137296	0.137296	NUM
easat-9787	366	43	8.611491	8.611491	NUM
easat-9787	366	44	0.125601	0.125601	NUM
easat-9787	366	45	usdgbp	usdgbp	NOUN
easat-9787	366	46	weekly	weekly	ADJ
easat-9787	366	47	los	los	PROPN
easat-9787	366	48	1.999751	1.999751	NUM
easat-9787	366	49	5.155903	5.155903	NUM
easat-9787	366	50	0.397152	0.397152	NUM
easat-9787	366	51	4.996004	4.996004	NUM
easat-9787	366	52	0.416368	0.416368	NUM
easat-9787	366	53	usdeur	usdeur	ADJ
easat-9787	366	54	weekly	weekly	ADJ
easat-9787	366	55	avg	avg	NOUN
easat-9787	366	56	2.000502	2.000502	NUM
easat-9787	366	57	4.756038	4.756038	NUM
easat-9787	366	58	0.446373	0.446373	NUM
easat-9787	366	59	4.740297	4.740297	NUM
easat-9787	366	60	0.44839	0.44839	NUM
easat-9787	366	61	usdgbp	usdgbp	NOUN
easat-9787	366	62	weekly	weekly	ADJ
easat-9787	366	63	avg	avg	NOUN
easat-9787	366	64	1.998211	1.998211	NUM
easat-9787	366	65	6.038412	6.038412	NUM
easat-9787	366	66	0.302499	0.302499	NUM
easat-9787	366	67	6.005803	6.005803	NUM
easat-9787	366	68	0.305655	0.305655	NUM
easat-9787	366	69	usdeur	usdeur	ADJ
easat-9787	366	70	monthly	monthly	ADJ
easat-9787	366	71	los	los	PROPN
easat-9787	366	72	2.006686	2.006686	NUM
easat-9787	366	73	4.303913	4.303913	NUM
easat-9787	366	74	0.50654	0.50654	NUM
easat-9787	366	75	3.375185	3.375185	NUM
easat-9787	366	76	0.642352	0.642352	NUM
easat-9787	366	77	usdgbp	usdgbp	NOUN
easat-9787	366	78	monthly	monthly	ADJ
easat-9787	366	79	los	los	PROPN
easat-9787	366	80	1.991	1.991	NUM
easat-9787	366	81	7.912616	7.912616	NUM
easat-9787	366	82	0.161118	0.161118	NUM
easat-9787	366	83	8.532752	8.532752	NUM
easat-9787	366	84	0.129216	0.129216	NUM
easat-9787	366	85	usdeur	usdeur	ADJ
easat-9787	366	86	monthly	monthly	ADJ
easat-9787	366	87	avg	avg	NOUN
easat-9787	366	88	1.990571	1.990571	NUM
easat-9787	366	89	1.148782	1.148782	NUM
easat-9787	366	90	0.949696	0.949696	NUM
easat-9787	366	91	0.376194	0.376194	NUM
easat-9787	366	92	0.99596	0.99596	NUM
easat-9787	366	93	usdgbp	usdgbp	NOUN
easat-9787	366	94	monthly	monthly	ADJ
easat-9787	366	95	avg	avg	NOUN
easat-9787	366	96	1.975898	1.975898	NUM
easat-9787	366	97	11.11097	11.11097	NUM
easat-9787	366	98	0.049224	0.049224	NUM
easat-9787	366	99	9.254796	9.254796	NUM
easat-9787	366	100	0.099323	0.099323	NUM
easat-9787	366	101	the	the	DET
easat-9787	366	102	durbin	durbin	NOUN
easat-9787	366	103	-	-	PUNCT
easat-9787	366	104	watson	watson	NOUN
easat-9787	366	105	(	(	PUNCT
easat-9787	366	106	dw	dw	PROPN
easat-9787	366	107	)	)	PUNCT
easat-9787	366	108	,	,	PUNCT
easat-9787	366	109	breusch	breusch	PROPN
easat-9787	366	110	-	-	PUNCT
easat-9787	366	111	godfrey	godfrey	NOUN
easat-9787	366	112	(	(	PUNCT
easat-9787	366	113	bg	bg	PROPN
easat-9787	366	114	)	)	PUNCT
easat-9787	366	115	,	,	PUNCT
easat-9787	366	116	and	and	CCONJ
easat-9787	366	117	ljung	ljung	PROPN
easat-9787	366	118	-	-	PUNCT
easat-9787	366	119	box	box	NOUN
easat-9787	366	120	(	(	PUNCT
easat-9787	366	121	lb	lb	NOUN
easat-9787	366	122	)	)	PUNCT
easat-9787	366	123	test	test	NOUN
easat-9787	366	124	results	result	NOUN
easat-9787	366	125	for	for	ADP
easat-9787	366	126	different	different	ADJ
easat-9787	366	127	levels	level	NOUN
easat-9787	366	128	of	of	ADP
easat-9787	366	129	aggregation	aggregation	NOUN
easat-9787	366	130	,	,	PUNCT
easat-9787	366	131	presented	present	VERB
easat-9787	366	132	in	in	ADP
easat-9787	366	133	table	table	NOUN
easat-9787	366	134	9	9	NUM
easat-9787	366	135	,	,	PUNCT
easat-9787	366	136	provide	provide	VERB
easat-9787	366	137	informative	informative	ADJ
easat-9787	366	138	evidence	evidence	NOUN
easat-9787	366	139	about	about	ADP
easat-9787	366	140	the	the	DET
easat-9787	366	141	impact	impact	NOUN
easat-9787	366	142	of	of	ADP
easat-9787	366	143	data	datum	NOUN
easat-9787	366	144	aggregation	aggregation	NOUN
easat-9787	366	145	on	on	ADP
easat-9787	366	146	the	the	DET
easat-9787	366	147	testing	testing	NOUN
easat-9787	366	148	for	for	ADP
easat-9787	366	149	autocorrelation	autocorrelation	NOUN
easat-9787	366	150	.	.	PUNCT
easat-9787	367	1	for	for	ADP
easat-9787	367	2	the	the	DET
easat-9787	367	3	series	series	NOUN
easat-9787	367	4	of	of	ADP
easat-9787	367	5	the	the	DET
easat-9787	367	6	log	log	NOUN
easat-9787	367	7	return	return	NOUN
easat-9787	367	8	on	on	ADP
easat-9787	367	9	a	a	DET
easat-9787	367	10	daily	daily	ADJ
easat-9787	367	11	basis	basis	NOUN
easat-9787	367	12	,	,	PUNCT
easat-9787	367	13	both	both	CCONJ
easat-9787	367	14	the	the	DET
easat-9787	367	15	usd	usd	NOUN
easat-9787	367	16	/	/	SYM
easat-9787	367	17	eur	eur	NOUN
easat-9787	367	18	and	and	CCONJ
easat-9787	367	19	usd	usd	ADJ
easat-9787	367	20	/	/	SYM
easat-9787	367	21	gbp	gbp	NOUN
easat-9787	367	22	series	series	NOUN
easat-9787	367	23	have	have	VERB
easat-9787	367	24	dw	dw	PROPN
easat-9787	367	25	statistics	statistic	NOUN
easat-9787	367	26	almost	almost	ADV
easat-9787	367	27	equal	equal	ADJ
easat-9787	367	28	to	to	ADP
easat-9787	367	29	2.0	2.0	NUM
easat-9787	367	30	,	,	PUNCT
easat-9787	367	31	which	which	PRON
easat-9787	367	32	means	mean	VERB
easat-9787	367	33	there	there	PRON
easat-9787	367	34	is	be	VERB
easat-9787	367	35	no	no	DET
easat-9787	367	36	autocorrelation	autocorrelation	NOUN
easat-9787	367	37	.	.	PUNCT
easat-9787	368	1	however	however	ADV
easat-9787	368	2	,	,	PUNCT
easat-9787	368	3	the	the	DET
easat-9787	368	4	bg	bg	NOUN
easat-9787	368	5	and	and	CCONJ
easat-9787	368	6	lb	lb	NUM
easat-9787	368	7	tests	test	NOUN
easat-9787	368	8	show	show	VERB
easat-9787	368	9	strong	strong	ADJ
easat-9787	368	10	autocorrelation	autocorrelation	NOUN
easat-9787	368	11	in	in	ADP
easat-9787	368	12	usd	usd	NOUN
easat-9787	368	13	/	/	SYM
easat-9787	368	14	gbp	gbp	NOUN
easat-9787	368	15	(	(	PUNCT
easat-9787	368	16	bg	bg	PROPN
easat-9787	368	17	p	p	NOUN
easat-9787	368	18	-	-	PUNCT
easat-9787	368	19	value	value	NOUN
easat-9787	368	20	=	=	NOUN
easat-9787	368	21	0.008	0.008	NUM
easat-9787	368	22	,	,	PUNCT
easat-9787	368	23	lb	lb	DET
easat-9787	368	24	p	p	ADJ
easat-9787	368	25	-	-	PUNCT
easat-9787	368	26	value	value	NOUN
easat-9787	368	27	=	=	NOUN
easat-9787	368	28	0.008	0.008	NUM
easat-9787	368	29	)	)	PUNCT
easat-9787	368	30	,	,	PUNCT
easat-9787	368	31	so	so	CCONJ
easat-9787	368	32	the	the	DET
easat-9787	368	33	dw	dw	PROPN
easat-9787	368	34	test	test	NOUN
easat-9787	368	35	may	may	AUX
easat-9787	368	36	be	be	AUX
easat-9787	368	37	failing	fail	VERB
easat-9787	368	38	to	to	PART
easat-9787	368	39	identify	identify	VERB
easat-9787	368	40	residual	residual	ADJ
easat-9787	368	41	structure	structure	NOUN
easat-9787	368	42	.	.	PUNCT
easat-9787	369	1	even	even	ADV
easat-9787	369	2	in	in	ADP
easat-9787	369	3	the	the	DET
easat-9787	369	4	case	case	NOUN
easat-9787	369	5	of	of	ADP
easat-9787	369	6	usd	usd	PROPN
easat-9787	369	7	/	/	SYM
easat-9787	369	8	eur	eur	NOUN
easat-9787	369	9	,	,	PUNCT
easat-9787	369	10	the	the	DET
easat-9787	369	11	bg	bg	PROPN
easat-9787	369	12	test	test	NOUN
easat-9787	369	13	shows	show	VERB
easat-9787	369	14	marginal	marginal	ADJ
easat-9787	369	15	significance	significance	NOUN
easat-9787	369	16	(	(	PUNCT
easat-9787	369	17	p	p	X
easat-9787	369	18	=	=	NOUN
easat-9787	369	19	0.037	0.037	NUM
easat-9787	369	20	)	)	PUNCT
easat-9787	369	21	,	,	PUNCT
easat-9787	369	22	but	but	CCONJ
easat-9787	369	23	the	the	DET
easat-9787	369	24	lb	lb	NOUN
easat-9787	369	25	test	test	NOUN
easat-9787	369	26	does	do	AUX
easat-9787	369	27	not	not	PART
easat-9787	369	28	reject	reject	VERB
easat-9787	369	29	at	at	ADP
easat-9787	369	30	the	the	DET
easat-9787	369	31	5	5	NUM
easat-9787	369	32	%	%	NOUN
easat-9787	369	33	level	level	NOUN
easat-9787	369	34	.	.	PUNCT
easat-9787	370	1	whenever	whenever	SCONJ
easat-9787	370	2	the	the	DET
easat-9787	370	3	data	datum	NOUN
easat-9787	370	4	is	be	AUX
easat-9787	370	5	aggregated	aggregate	VERB
easat-9787	370	6	to	to	ADP
easat-9787	370	7	the	the	DET
easat-9787	370	8	weekly	weekly	ADJ
easat-9787	370	9	last	last	ADJ
easat-9787	370	10	observation	observation	NOUN
easat-9787	370	11	(	(	PUNCT
easat-9787	370	12	los	los	PROPN
easat-9787	370	13	)	)	PUNCT
easat-9787	370	14	,	,	PUNCT
easat-9787	370	15	both	both	PRON
easat-9787	370	16	of	of	ADP
easat-9787	370	17	these	these	DET
easat-9787	370	18	tests	test	NOUN
easat-9787	370	19	lose	lose	VERB
easat-9787	370	20	significance	significance	NOUN
easat-9787	370	21	.	.	PUNCT
easat-9787	371	1	in	in	ADP
easat-9787	371	2	usd	usd	PROPN
easat-9787	371	3	/	/	SYM
easat-9787	371	4	eur	eur	NOUN
easat-9787	371	5	,	,	PUNCT
easat-9787	371	6	for	for	ADP
easat-9787	371	7	example	example	NOUN
easat-9787	371	8	,	,	PUNCT
easat-9787	371	9	bg	bg	PROPN
easat-9787	371	10	p	p	ADJ
easat-9787	371	11	-	-	PUNCT
easat-9787	371	12	value	value	NOUN
easat-9787	371	13	increases	increase	NOUN
easat-9787	371	14	to	to	ADP
easat-9787	371	15	0.137	0.137	NUM
easat-9787	371	16	and	and	CCONJ
easat-9787	371	17	lb	lb	DET
easat-9787	371	18	p	p	NOUN
easat-9787	371	19	-	-	PUNCT
easat-9787	371	20	value	value	NOUN
easat-9787	371	21	to	to	ADP
easat-9787	371	22	0.126	0.126	NUM
easat-9787	371	23	.	.	PUNCT
easat-9787	372	1	in	in	ADP
easat-9787	372	2	usd	usd	PROPN
easat-9787	372	3	/	/	SYM
easat-9787	372	4	gbp	gbp	NOUN
easat-9787	372	5	,	,	PUNCT
easat-9787	372	6	both	both	DET
easat-9787	372	7	tests	test	NOUN
easat-9787	372	8	are	be	AUX
easat-9787	372	9	no	no	ADV
easat-9787	372	10	longer	long	ADV
easat-9787	372	11	statistically	statistically	ADV
easat-9787	372	12	significant	significant	ADJ
easat-9787	372	13	.	.	PUNCT
easat-9787	373	1	this	this	PRON
easat-9787	373	2	agrees	agree	VERB
easat-9787	373	3	with	with	ADP
easat-9787	373	4	the	the	DET
easat-9787	373	5	simulation	simulation	NOUN
easat-9787	373	6	findings	finding	NOUN
easat-9787	373	7	,	,	PUNCT
easat-9787	373	8	where	where	SCONJ
easat-9787	373	9	aggregation	aggregation	NOUN
easat-9787	373	10	was	be	AUX
easat-9787	373	11	seen	see	VERB
easat-9787	373	12	to	to	PART
easat-9787	373	13	reduce	reduce	VERB
easat-9787	373	14	the	the	DET
easat-9787	373	15	power	power	NOUN
easat-9787	373	16	of	of	ADP
easat-9787	373	17	autocorrelation	autocorrelation	NOUN
easat-9787	373	18	tests	test	NOUN
easat-9787	373	19	to	to	PART
easat-9787	373	20	identify	identify	VERB
easat-9787	373	21	residual	residual	ADJ
easat-9787	373	22	dependence	dependence	NOUN
easat-9787	373	23	.	.	PUNCT
easat-9787	374	1	with	with	ADP
easat-9787	374	2	weekly	weekly	ADJ
easat-9787	374	3	averaging	averaging	NOUN
easat-9787	374	4	(	(	PUNCT
easat-9787	374	5	avg	avg	PROPN
easat-9787	374	6	)	)	PUNCT
easat-9787	374	7	,	,	PUNCT
easat-9787	374	8	the	the	DET
easat-9787	374	9	dw	dw	PROPN
easat-9787	374	10	statistics	statistic	NOUN
easat-9787	374	11	are	be	AUX
easat-9787	374	12	even	even	ADV
easat-9787	374	13	closer	close	ADV
easat-9787	374	14	to	to	ADP
easat-9787	374	15	2.0	2.0	NUM
easat-9787	374	16	,	,	PUNCT
easat-9787	374	17	and	and	CCONJ
easat-9787	374	18	both	both	CCONJ
easat-9787	374	19	the	the	DET
easat-9787	374	20	bg	bg	NOUN
easat-9787	374	21	and	and	CCONJ
easat-9787	374	22	lb	lb	NUM
easat-9787	374	23	tests	test	NOUN
easat-9787	374	24	have	have	VERB
easat-9787	374	25	very	very	ADV
easat-9787	374	26	high	high	ADJ
easat-9787	374	27	p	p	NOUN
easat-9787	374	28	-	-	PUNCT
easat-9787	374	29	values	value	NOUN
easat-9787	374	30	(	(	PUNCT
easat-9787	374	31	all	all	PRON
easat-9787	374	32	above	above	ADP
easat-9787	374	33	0.44	0.44	NUM
easat-9787	374	34	for	for	ADP
easat-9787	374	35	usd	usd	NOUN
easat-9787	374	36	/	/	SYM
easat-9787	374	37	eur	eur	NOUN
easat-9787	374	38	)	)	PUNCT
easat-9787	374	39	,	,	PUNCT
easat-9787	374	40	indicating	indicate	VERB
easat-9787	374	41	a	a	DET
easat-9787	374	42	significant	significant	ADJ
easat-9787	374	43	loss	loss	NOUN
easat-9787	374	44	of	of	ADP
easat-9787	374	45	power	power	NOUN
easat-9787	374	46	.	.	PUNCT
easat-9787	375	1	these	these	DET
easat-9787	375	2	findings	finding	NOUN
easat-9787	375	3	strongly	strongly	ADV
easat-9787	375	4	suggest	suggest	VERB
easat-9787	375	5	that	that	SCONJ
easat-9787	375	6	aggregation	aggregation	NOUN
easat-9787	375	7	—	—	PUNCT
easat-9787	375	8	and	and	CCONJ
easat-9787	375	9	especially	especially	ADV
easat-9787	375	10	averaging	averaging	NOUN
easat-9787	375	11	—	—	PUNCT
easat-9787	375	12	washes	wash	VERB
easat-9787	375	13	out	out	ADP
easat-9787	375	14	short	short	ADJ
easat-9787	375	15	-	-	PUNCT
easat-9787	375	16	run	run	NOUN
easat-9787	375	17	dynamics	dynamic	NOUN
easat-9787	375	18	and	and	CCONJ
easat-9787	375	19	masks	mask	NOUN
easat-9787	375	20	autocorrelation	autocorrelation	NOUN
easat-9787	375	21	,	,	PUNCT
easat-9787	375	22	validating	validate	VERB
easat-9787	375	23	the	the	DET
easat-9787	375	24	hypothesis	hypothesis	NOUN
easat-9787	375	25	that	that	PRON
easat-9787	375	26	temporal	temporal	ADJ
easat-9787	375	27	aggregation	aggregation	NOUN
easat-9787	375	28	distorts	distort	VERB
easat-9787	375	29	test	test	NOUN
easat-9787	375	30	results	result	NOUN
easat-9787	375	31	.	.	PUNCT
easat-9787	376	1	in	in	ADP
easat-9787	376	2	summary	summary	NOUN
easat-9787	376	3	,	,	PUNCT
easat-9787	376	4	while	while	SCONJ
easat-9787	376	5	the	the	DET
easat-9787	376	6	dw	dw	PROPN
easat-9787	376	7	test	test	NOUN
easat-9787	376	8	alone	alone	ADV
easat-9787	376	9	may	may	AUX
easat-9787	376	10	give	give	VERB
easat-9787	376	11	the	the	DET
easat-9787	376	12	impression	impression	NOUN
easat-9787	376	13	of	of	ADP
easat-9787	376	14	no	no	DET
easat-9787	376	15	autocorrelation	autocorrelation	NOUN
easat-9787	376	16	,	,	PUNCT
easat-9787	376	17	other	other	ADJ
easat-9787	376	18	diagnostics	diagnostic	NOUN
easat-9787	376	19	like	like	ADP
easat-9787	376	20	bg	bg	PROPN
easat-9787	376	21	and	and	CCONJ
easat-9787	376	22	lb	lb	NOUN
easat-9787	376	23	indicate	indicate	VERB
easat-9787	376	24	the	the	DET
easat-9787	376	25	loss	loss	NOUN
easat-9787	376	26	in	in	ADP
easat-9787	376	27	power	power	NOUN
easat-9787	376	28	of	of	ADP
easat-9787	376	29	detection	detection	NOUN
easat-9787	376	30	with	with	ADP
easat-9787	376	31	aggregation	aggregation	NOUN
easat-9787	376	32	.	.	PUNCT
easat-9787	377	1	results	result	NOUN
easat-9787	377	2	stress	stress	VERB
easat-9787	377	3	the	the	DET
easat-9787	377	4	importance	importance	NOUN
easat-9787	377	5	of	of	ADP
easat-9787	377	6	supplementing	supplement	VERB
easat-9787	377	7	dw	dw	NOUN
easat-9787	377	8	with	with	ADP
easat-9787	377	9	more	more	ADV
easat-9787	377	10	powerful	powerful	ADJ
easat-9787	377	11	tests	test	NOUN
easat-9787	377	12	in	in	ADP
easat-9787	377	13	the	the	DET
easat-9787	377	14	presence	presence	NOUN
easat-9787	377	15	of	of	ADP
easat-9787	377	16	aggregated	aggregate	VERB
easat-9787	377	17	data	datum	NOUN
easat-9787	377	18	.	.	PUNCT
easat-9787	378	1	241	241	NUM
easat-9787	378	2	edelweiss	edelweiss	PROPN
easat-9787	378	3	applied	apply	VERB
easat-9787	378	4	science	science	NOUN
easat-9787	378	5	and	and	CCONJ
easat-9787	378	6	technology	technology	NOUN
easat-9787	378	7	issn	issn	PROPN
easat-9787	378	8	:	:	PUNCT
easat-9787	378	9	2576	2576	NUM
easat-9787	378	10	-	-	SYM
easat-9787	378	11	8484	8484	NUM
easat-9787	378	12	vol	vol	NOUN
easat-9787	378	13	.	.	PROPN
easat-9787	379	1	9	9	NUM
easat-9787	379	2	,	,	PUNCT
easat-9787	379	3	no	no	INTJ
easat-9787	379	4	.	.	NOUN
easat-9787	379	5	9	9	NUM
easat-9787	379	6	:	:	SYM
easat-9787	379	7	226	226	NUM
easat-9787	379	8	-	-	SYM
easat-9787	379	9	244	244	NUM
easat-9787	379	10	,	,	PUNCT
easat-9787	379	11	2025	2025	NUM
easat-9787	379	12	doi	doi	NOUN
easat-9787	379	13	:	:	PUNCT
easat-9787	379	14	10.55214/2576	10.55214/2576	NUM
easat-9787	379	15	-	-	PUNCT
easat-9787	379	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	379	17	©	©	PROPN
easat-9787	379	18	2025	2025	NUM
easat-9787	379	19	by	by	ADP
easat-9787	379	20	the	the	DET
easat-9787	379	21	author	author	NOUN
easat-9787	379	22	;	;	PUNCT
easat-9787	379	23	licensee	licensee	PROPN
easat-9787	379	24	learning	learning	NOUN
easat-9787	379	25	gate	gate	NOUN
easat-9787	379	26	6	6	NUM
easat-9787	379	27	.	.	PUNCT
easat-9787	380	1	results	result	NOUN
easat-9787	380	2	and	and	CCONJ
easat-9787	380	3	discussion	discussion	NOUN
easat-9787	380	4	this	this	DET
easat-9787	380	5	section	section	NOUN
easat-9787	380	6	combines	combine	VERB
easat-9787	380	7	results	result	NOUN
easat-9787	380	8	from	from	ADP
easat-9787	380	9	both	both	CCONJ
easat-9787	380	10	the	the	DET
easat-9787	380	11	monte	monte	PROPN
easat-9787	380	12	carlo	carlo	PROPN
easat-9787	380	13	simulations	simulation	NOUN
easat-9787	380	14	and	and	CCONJ
easat-9787	380	15	the	the	DET
easat-9787	380	16	empirical	empirical	ADJ
easat-9787	380	17	application	application	NOUN
easat-9787	380	18	to	to	PART
easat-9787	380	19	estimate	estimate	VERB
easat-9787	380	20	the	the	DET
easat-9787	380	21	effect	effect	NOUN
easat-9787	380	22	of	of	ADP
easat-9787	380	23	temporal	temporal	ADJ
easat-9787	380	24	aggregation	aggregation	NOUN
easat-9787	380	25	on	on	ADP
easat-9787	380	26	the	the	DET
easat-9787	380	27	power	power	NOUN
easat-9787	380	28	of	of	ADP
easat-9787	380	29	the	the	DET
easat-9787	380	30	durbin	durbin	NOUN
easat-9787	380	31	-	-	PUNCT
easat-9787	380	32	watson	watson	NOUN
easat-9787	380	33	(	(	PUNCT
easat-9787	380	34	dw	dw	NOUN
easat-9787	380	35	)	)	PUNCT
easat-9787	380	36	test	test	NOUN
easat-9787	380	37	for	for	ADP
easat-9787	380	38	identifying	identify	VERB
easat-9787	380	39	autocorrelation	autocorrelation	NOUN
easat-9787	380	40	.	.	PUNCT
easat-9787	381	1	the	the	DET
easat-9787	381	2	evidence	evidence	NOUN
easat-9787	381	3	consistently	consistently	ADV
easat-9787	381	4	supports	support	VERB
easat-9787	381	5	the	the	DET
easat-9787	381	6	fact	fact	NOUN
easat-9787	381	7	that	that	SCONJ
easat-9787	381	8	aggregation	aggregation	NOUN
easat-9787	381	9	—	—	PUNCT
easat-9787	381	10	particularly	particularly	ADV
easat-9787	381	11	through	through	ADP
easat-9787	381	12	arithmetic	arithmetic	ADJ
easat-9787	381	13	averaging	averaging	NOUN
easat-9787	381	14	—	—	PUNCT
easat-9787	381	15	has	have	AUX
easat-9787	381	16	a	a	DET
easat-9787	381	17	notably	notably	ADV
easat-9787	381	18	debilitating	debilitating	ADJ
easat-9787	381	19	effect	effect	NOUN
easat-9787	381	20	on	on	ADP
easat-9787	381	21	the	the	DET
easat-9787	381	22	power	power	NOUN
easat-9787	381	23	of	of	ADP
easat-9787	381	24	the	the	DET
easat-9787	381	25	dw	dw	PROPN
easat-9787	381	26	test	test	NOUN
easat-9787	381	27	,	,	PUNCT
easat-9787	381	28	as	as	SCONJ
easat-9787	381	29	it	it	PRON
easat-9787	381	30	confirms	confirm	VERB
easat-9787	381	31	the	the	DET
easat-9787	381	32	simulation	simulation	NOUN
easat-9787	381	33	hypotheses	hypothesis	NOUN
easat-9787	381	34	for	for	ADP
easat-9787	381	35	real	real	ADJ
easat-9787	381	36	historical	historical	ADJ
easat-9787	381	37	financial	financial	ADJ
easat-9787	381	38	time	time	NOUN
easat-9787	381	39	series	series	PROPN
easat-9787	381	40	.	.	PUNCT
easat-9787	382	1	the	the	DET
easat-9787	382	2	monte	monte	PROPN
easat-9787	382	3	carlo	carlo	PROPN
easat-9787	382	4	simulations	simulation	NOUN
easat-9787	382	5	show	show	VERB
easat-9787	382	6	severe	severe	ADJ
easat-9787	382	7	and	and	CCONJ
easat-9787	382	8	systematic	systematic	ADJ
easat-9787	382	9	erosion	erosion	NOUN
easat-9787	382	10	in	in	ADP
easat-9787	382	11	the	the	DET
easat-9787	382	12	power	power	NOUN
easat-9787	382	13	of	of	ADP
easat-9787	382	14	the	the	DET
easat-9787	382	15	dw	dw	PROPN
easat-9787	382	16	test	test	NOUN
easat-9787	382	17	to	to	PART
easat-9787	382	18	detect	detect	VERB
easat-9787	382	19	serial	serial	ADJ
easat-9787	382	20	correlation	correlation	NOUN
easat-9787	382	21	under	under	ADP
easat-9787	382	22	data	datum	NOUN
easat-9787	382	23	aggregation	aggregation	NOUN
easat-9787	382	24	.	.	PUNCT
easat-9787	383	1	for	for	ADP
easat-9787	383	2	a	a	DET
easat-9787	383	3	moderately	moderately	ADV
easat-9787	383	4	autocorrelated	autocorrelated	ADJ
easat-9787	383	5	ar(1	ar(1	NOUN
easat-9787	383	6	)	)	PUNCT
easat-9787	383	7	process	process	NOUN
easat-9787	383	8	,	,	PUNCT
easat-9787	383	9	test	test	NOUN
easat-9787	383	10	power	power	NOUN
easat-9787	383	11	falls	fall	VERB
easat-9787	383	12	from	from	ADP
easat-9787	383	13	0.58	0.58	NUM
easat-9787	383	14	at	at	ADP
easat-9787	383	15	the	the	DET
easat-9787	383	16	daily	daily	ADJ
easat-9787	383	17	frequency	frequency	NOUN
easat-9787	383	18	to	to	ADP
easat-9787	383	19	0.33	0.33	NUM
easat-9787	383	20	under	under	ADP
easat-9787	383	21	weekly	weekly	ADJ
easat-9787	383	22	last	last	ADJ
easat-9787	383	23	observation	observation	NOUN
easat-9787	383	24	sampling	sample	VERB
easat-9787	383	25	(	(	PUNCT
easat-9787	383	26	los	los	PROPN
easat-9787	383	27	)	)	PUNCT
easat-9787	383	28	and	and	CCONJ
easat-9787	383	29	to	to	ADP
easat-9787	383	30	just	just	ADV
easat-9787	383	31	0.21	0.21	NUM
easat-9787	383	32	under	under	ADP
easat-9787	383	33	monthly	monthly	ADJ
easat-9787	383	34	averaging	averaging	NOUN
easat-9787	383	35	(	(	PUNCT
easat-9787	383	36	avg	avg	PROPN
easat-9787	383	37	)	)	PUNCT
easat-9787	383	38	.	.	PUNCT
easat-9787	384	1	even	even	ADV
easat-9787	384	2	in	in	ADP
easat-9787	384	3	the	the	DET
easat-9787	384	4	presence	presence	NOUN
easat-9787	384	5	of	of	ADP
easat-9787	384	6	strong	strong	ADJ
easat-9787	384	7	autocorrelation	autocorrelation	NOUN
easat-9787	384	8	,	,	PUNCT
easat-9787	384	9	aggregation	aggregation	NOUN
easat-9787	384	10	causes	cause	VERB
easat-9787	384	11	notable	notable	ADJ
easat-9787	384	12	deterioration	deterioration	NOUN
easat-9787	384	13	.	.	PUNCT
easat-9787	385	1	at	at	ADP
easat-9787	385	2	dw	dw	PROPN
easat-9787	385	3	,	,	PUNCT
easat-9787	385	4	power	power	NOUN
easat-9787	385	5	decreases	decrease	VERB
easat-9787	385	6	from	from	ADP
easat-9787	385	7	0.94	0.94	NUM
easat-9787	385	8	(	(	PUNCT
easat-9787	385	9	unaggregated	unaggregated	ADJ
easat-9787	385	10	)	)	PUNCT
easat-9787	385	11	to	to	ADP
easat-9787	385	12	0.73	0.73	NUM
easat-9787	385	13	(	(	PUNCT
easat-9787	385	14	weekly	weekly	ADJ
easat-9787	385	15	los	los	PROPN
easat-9787	385	16	)	)	PUNCT
easat-9787	385	17	and	and	CCONJ
easat-9787	385	18	down	down	ADV
easat-9787	385	19	to	to	ADP
easat-9787	385	20	0.57	0.57	NUM
easat-9787	385	21	(	(	PUNCT
easat-9787	385	22	monthly	monthly	ADJ
easat-9787	385	23	avg	avg	NOUN
easat-9787	385	24	)	)	PUNCT
easat-9787	385	25	.	.	PUNCT
easat-9787	386	1	the	the	DET
easat-9787	386	2	dw	dw	PROPN
easat-9787	386	3	test	test	NOUN
easat-9787	386	4	performs	perform	VERB
easat-9787	386	5	worse	bad	ADJ
easat-9787	386	6	in	in	ADP
easat-9787	386	7	higher	high	ADJ
easat-9787	386	8	-	-	PUNCT
easat-9787	386	9	order	order	NOUN
easat-9787	386	10	and	and	CCONJ
easat-9787	386	11	mixed	mixed	ADJ
easat-9787	386	12	processes	process	NOUN
easat-9787	386	13	such	such	ADJ
easat-9787	386	14	as	as	ADP
easat-9787	386	15	ar(2	ar(2	NOUN
easat-9787	386	16	)	)	PUNCT
easat-9787	386	17	and	and	CCONJ
easat-9787	386	18	arma(1,1	arma(1,1	NOUN
easat-9787	386	19	)	)	PUNCT
easat-9787	386	20	,	,	PUNCT
easat-9787	386	21	in	in	ADP
easat-9787	386	22	which	which	PRON
easat-9787	386	23	the	the	DET
easat-9787	386	24	design	design	NOUN
easat-9787	386	25	limitations	limitation	NOUN
easat-9787	386	26	of	of	ADP
easat-9787	386	27	the	the	DET
easat-9787	386	28	test	test	NOUN
easat-9787	386	29	become	become	VERB
easat-9787	386	30	accentuated	accentuate	VERB
easat-9787	386	31	.	.	PUNCT
easat-9787	387	1	for	for	ADP
easat-9787	387	2	example	example	NOUN
easat-9787	387	3	,	,	PUNCT
easat-9787	387	4	under	under	ADP
easat-9787	387	5	an	an	DET
easat-9787	387	6	arma(1,1	arma(1,1	NOUN
easat-9787	387	7	)	)	PUNCT
easat-9787	387	8	model	model	NOUN
easat-9787	387	9	with	with	ADP
easat-9787	387	10	t=500	t=500	PROPN
easat-9787	387	11	,	,	PUNCT
easat-9787	387	12	power	power	NOUN
easat-9787	387	13	falls	fall	VERB
easat-9787	387	14	to	to	ADP
easat-9787	387	15	size	size	NOUN
easat-9787	387	16	values	value	NOUN
easat-9787	387	17	(	(	PUNCT
easat-9787	387	18	0.09	0.09	NUM
easat-9787	387	19	)	)	PUNCT
easat-9787	387	20	at	at	ADP
easat-9787	387	21	a	a	DET
easat-9787	387	22	monthly	monthly	ADJ
easat-9787	387	23	aggregation	aggregation	NOUN
easat-9787	387	24	level	level	NOUN
easat-9787	387	25	.	.	PUNCT
easat-9787	388	1	these	these	DET
easat-9787	388	2	findings	finding	NOUN
easat-9787	388	3	corroborate	corroborate	VERB
easat-9787	388	4	the	the	DET
easat-9787	388	5	legitimacy	legitimacy	NOUN
easat-9787	388	6	of	of	ADP
easat-9787	388	7	previous	previous	ADJ
easat-9787	388	8	reservations	reservation	NOUN
easat-9787	388	9	put	put	VERB
easat-9787	388	10	forward	forward	ADV
easat-9787	388	11	by	by	ADP
easat-9787	388	12	savin	savin	NOUN
easat-9787	388	13	and	and	CCONJ
easat-9787	388	14	white	white	ADJ
easat-9787	388	15	[	[	X
easat-9787	388	16	15	15	NUM
easat-9787	388	17	]	]	PUNCT
easat-9787	388	18	and	and	CCONJ
easat-9787	388	19	hurvich	hurvich	PROPN
easat-9787	388	20	and	and	CCONJ
easat-9787	388	21	tsai	tsai	PROPN
easat-9787	389	1	[	[	X
easat-9787	389	2	22	22	NUM
easat-9787	389	3	]	]	PUNCT
easat-9787	389	4	that	that	SCONJ
easat-9787	389	5	the	the	DET
easat-9787	389	6	dw	dw	PROPN
easat-9787	389	7	test	test	NOUN
easat-9787	389	8	is	be	AUX
easat-9787	389	9	specifically	specifically	ADV
easat-9787	389	10	designed	design	VERB
easat-9787	389	11	to	to	PART
easat-9787	389	12	detect	detect	VERB
easat-9787	389	13	pure	pure	ADJ
easat-9787	389	14	ar(1	ar(1	NOUN
easat-9787	389	15	)	)	PUNCT
easat-9787	389	16	dynamics	dynamic	NOUN
easat-9787	389	17	and	and	CCONJ
easat-9787	389	18	is	be	AUX
easat-9787	389	19	extremely	extremely	ADV
easat-9787	389	20	susceptible	susceptible	ADJ
easat-9787	389	21	to	to	ADP
easat-9787	389	22	specification	specification	NOUN
easat-9787	389	23	and	and	CCONJ
easat-9787	389	24	transformation	transformation	NOUN
easat-9787	389	25	error	error	NOUN
easat-9787	389	26	.	.	PUNCT
easat-9787	390	1	in	in	ADP
easat-9787	390	2	addition	addition	NOUN
easat-9787	390	3	,	,	PUNCT
easat-9787	390	4	model	model	NOUN
easat-9787	390	5	misspecification	misspecification	NOUN
easat-9787	390	6	and	and	CCONJ
easat-9787	390	7	nonlinearities	nonlinearitie	NOUN
easat-9787	390	8	compound	compound	VERB
easat-9787	390	9	these	these	DET
easat-9787	390	10	issues	issue	NOUN
easat-9787	390	11	.	.	PUNCT
easat-9787	391	1	mis	mi	NOUN
easat-9787	391	2	-	-	PUNCT
easat-9787	391	3	specifying	specify	VERB
easat-9787	391	4	an	an	DET
easat-9787	391	5	ar(2	ar(2	NOUN
easat-9787	391	6	)	)	PUNCT
easat-9787	391	7	process	process	NOUN
easat-9787	391	8	as	as	ADP
easat-9787	391	9	ar(1	ar(1	PROPN
easat-9787	391	10	)	)	PUNCT
easat-9787	391	11	lowers	lower	VERB
easat-9787	391	12	dw	dw	NOUN
easat-9787	391	13	power	power	NOUN
easat-9787	391	14	under	under	ADP
easat-9787	391	15	monthly	monthly	ADJ
easat-9787	391	16	avg	avg	NOUN
easat-9787	391	17	from	from	ADP
easat-9787	391	18	0.29	0.29	NUM
easat-9787	391	19	to	to	ADP
easat-9787	391	20	0.17	0.17	NUM
easat-9787	391	21	.	.	PUNCT
easat-9787	392	1	incorporating	incorporate	VERB
easat-9787	392	2	nonlinear	nonlinear	ADJ
easat-9787	392	3	transformations	transformation	NOUN
easat-9787	392	4	or	or	CCONJ
easat-9787	392	5	garch(1,1	garch(1,1	NOUN
easat-9787	392	6	)	)	PUNCT
easat-9787	392	7	innovations	innovation	NOUN
easat-9787	392	8	lowers	lower	VERB
easat-9787	392	9	power	power	NOUN
easat-9787	392	10	further	far	ADV
easat-9787	392	11	to	to	ADP
easat-9787	392	12	levels	level	NOUN
easat-9787	392	13	(	(	PUNCT
easat-9787	392	14	0.11–0.14	0.11–0.14	NUM
easat-9787	392	15	)	)	PUNCT
easat-9787	392	16	,	,	PUNCT
easat-9787	392	17	where	where	SCONJ
easat-9787	392	18	the	the	DET
easat-9787	392	19	test	test	NOUN
easat-9787	392	20	is	be	AUX
easat-9787	392	21	effectively	effectively	ADV
easat-9787	392	22	useless	useless	ADJ
easat-9787	392	23	.	.	PUNCT
easat-9787	393	1	these	these	DET
easat-9787	393	2	findings	finding	NOUN
easat-9787	393	3	confirm	confirm	VERB
easat-9787	393	4	granger	granger	PROPN
easat-9787	393	5	and	and	CCONJ
easat-9787	393	6	morris	morris	PROPN
easat-9787	394	1	[	[	X
easat-9787	394	2	13	13	NUM
easat-9787	394	3	]	]	PUNCT
easat-9787	394	4	and	and	CCONJ
easat-9787	394	5	ghysels	ghysel	NOUN
easat-9787	395	1	[	[	X
easat-9787	395	2	6	6	NUM
easat-9787	395	3	]	]	PUNCT
easat-9787	395	4	who	who	PRON
easat-9787	395	5	highlighted	highlight	VERB
easat-9787	395	6	that	that	SCONJ
easat-9787	395	7	data	data	NOUN
easat-9787	395	8	transformation	transformation	NOUN
easat-9787	395	9	can	can	AUX
easat-9787	395	10	ruin	ruin	VERB
easat-9787	395	11	inference	inference	NOUN
easat-9787	395	12	and	and	CCONJ
easat-9787	395	13	obscure	obscure	ADJ
easat-9787	395	14	dynamics	dynamic	NOUN
easat-9787	395	15	in	in	ADP
easat-9787	395	16	economic	economic	ADJ
easat-9787	395	17	time	time	NOUN
easat-9787	395	18	series	series	NOUN
easat-9787	395	19	.	.	PUNCT
easat-9787	396	1	a	a	DET
easat-9787	396	2	relative	relative	ADJ
easat-9787	396	3	comparison	comparison	NOUN
easat-9787	396	4	indicates	indicate	VERB
easat-9787	396	5	that	that	SCONJ
easat-9787	396	6	the	the	DET
easat-9787	396	7	breusch	breusch	NOUN
easat-9787	396	8	-	-	PUNCT
easat-9787	396	9	godfrey	godfrey	NOUN
easat-9787	396	10	(	(	PUNCT
easat-9787	396	11	bg	bg	NOUN
easat-9787	396	12	)	)	PUNCT
easat-9787	396	13	test	test	NOUN
easat-9787	396	14	is	be	AUX
easat-9787	396	15	more	more	ADV
easat-9787	396	16	efficient	efficient	ADJ
easat-9787	396	17	than	than	ADP
easat-9787	396	18	dw	dw	PROPN
easat-9787	396	19	in	in	ADP
easat-9787	396	20	aggregated	aggregate	VERB
easat-9787	396	21	settings	setting	NOUN
easat-9787	396	22	.	.	PUNCT
easat-9787	397	1	in	in	ADP
easat-9787	397	2	ρ=0.5	ρ=0.5	NOUN
easat-9787	397	3	and	and	CCONJ
easat-9787	397	4	nonaggregated	nonaggregated	ADJ
easat-9787	397	5	data	datum	NOUN
easat-9787	397	6	,	,	PUNCT
easat-9787	397	7	the	the	DET
easat-9787	397	8	power	power	NOUN
easat-9787	397	9	of	of	ADP
easat-9787	397	10	bg	bg	PROPN
easat-9787	397	11	is	be	AUX
easat-9787	397	12	0.80	0.80	NUM
easat-9787	397	13	for	for	ADP
easat-9787	397	14	unaggregated	unaggregated	ADJ
easat-9787	397	15	data	datum	NOUN
easat-9787	397	16	,	,	PUNCT
easat-9787	397	17	decreasing	decrease	VERB
easat-9787	397	18	to	to	ADP
easat-9787	397	19	0.55	0.55	NUM
easat-9787	397	20	for	for	ADP
easat-9787	397	21	monthly	monthly	ADJ
easat-9787	397	22	avg	avg	NOUN
easat-9787	397	23	,	,	PUNCT
easat-9787	397	24	considerably	considerably	ADV
easat-9787	397	25	higher	high	ADJ
easat-9787	397	26	than	than	ADP
easat-9787	397	27	that	that	PRON
easat-9787	397	28	of	of	ADP
easat-9787	397	29	dw	dw	PROPN
easat-9787	397	30	’s	’s	PART
easat-9787	397	31	0.34	0.34	NUM
easat-9787	397	32	under	under	ADP
easat-9787	397	33	the	the	DET
easat-9787	397	34	same	same	ADJ
easat-9787	397	35	condition	condition	NOUN
easat-9787	397	36	.	.	PUNCT
easat-9787	398	1	such	such	ADJ
easat-9787	398	2	stability	stability	NOUN
easat-9787	398	3	also	also	ADV
easat-9787	398	4	strengthens	strengthen	VERB
easat-9787	398	5	the	the	DET
easat-9787	398	6	argument	argument	NOUN
easat-9787	398	7	that	that	SCONJ
easat-9787	398	8	dw	dw	PROPN
easat-9787	398	9	is	be	AUX
easat-9787	398	10	disproportionately	disproportionately	ADV
easat-9787	398	11	vulnerable	vulnerable	ADJ
easat-9787	398	12	to	to	ADP
easat-9787	398	13	the	the	DET
easat-9787	398	14	aggregation	aggregation	NOUN
easat-9787	398	15	loss	loss	NOUN
easat-9787	398	16	of	of	ADP
easat-9787	398	17	information	information	NOUN
easat-9787	398	18	.	.	PUNCT
easat-9787	399	1	the	the	DET
easat-9787	399	2	empirical	empirical	ADJ
easat-9787	399	3	application	application	NOUN
easat-9787	399	4	using	use	VERB
easat-9787	399	5	6,647	6,647	NUM
easat-9787	399	6	observations	observation	NOUN
easat-9787	399	7	of	of	ADP
easat-9787	399	8	the	the	DET
easat-9787	399	9	usd	usd	NOUN
easat-9787	399	10	/	/	SYM
easat-9787	399	11	eur	eur	NOUN
easat-9787	399	12	and	and	CCONJ
easat-9787	399	13	usd	usd	ADJ
easat-9787	399	14	/	/	SYM
easat-9787	399	15	gbp	gbp	NOUN
easat-9787	399	16	exchange	exchange	NOUN
easat-9787	399	17	rates	rate	NOUN
easat-9787	399	18	between	between	ADP
easat-9787	399	19	1999	1999	NUM
easat-9787	399	20	and	and	CCONJ
easat-9787	399	21	2025	2025	NUM
easat-9787	399	22	meets	meet	VERB
easat-9787	399	23	simulation	simulation	NOUN
easat-9787	399	24	expectations	expectation	NOUN
easat-9787	399	25	.	.	PUNCT
easat-9787	400	1	the	the	DET
easat-9787	400	2	log	log	NOUN
easat-9787	400	3	daily	daily	ADJ
easat-9787	400	4	return	return	NOUN
easat-9787	400	5	of	of	ADP
easat-9787	400	6	both	both	DET
easat-9787	400	7	series	series	NOUN
easat-9787	400	8	is	be	AUX
easat-9787	400	9	not	not	PART
easat-9787	400	10	highly	highly	ADV
easat-9787	400	11	autocorrelated	autocorrelated	ADJ
easat-9787	400	12	,	,	PUNCT
easat-9787	400	13	since	since	SCONJ
easat-9787	400	14	dw	dw	PROPN
easat-9787	400	15	statistics	statistic	NOUN
easat-9787	400	16	are	be	AUX
easat-9787	400	17	very	very	ADV
easat-9787	400	18	close	close	ADJ
easat-9787	400	19	to	to	ADP
easat-9787	400	20	2.0	2.0	NUM
easat-9787	400	21	(	(	PUNCT
easat-9787	400	22	1.999	1.999	NUM
easat-9787	400	23	for	for	ADP
easat-9787	400	24	usd	usd	NOUN
easat-9787	400	25	/	/	SYM
easat-9787	400	26	eur	eur	NOUN
easat-9787	400	27	and	and	CCONJ
easat-9787	400	28	2.003	2.003	NUM
easat-9787	400	29	for	for	ADP
easat-9787	400	30	usd	usd	NOUN
easat-9787	400	31	/	/	SYM
easat-9787	400	32	gbp	gbp	NOUN
easat-9787	400	33	)	)	PUNCT
easat-9787	400	34	,	,	PUNCT
easat-9787	400	35	as	as	SCONJ
easat-9787	400	36	is	be	AUX
easat-9787	400	37	usual	usual	ADJ
easat-9787	400	38	with	with	ADP
easat-9787	400	39	high	high	ADJ
easat-9787	400	40	-	-	PUNCT
easat-9787	400	41	frequency	frequency	NOUN
easat-9787	400	42	financial	financial	ADJ
easat-9787	400	43	data	datum	NOUN
easat-9787	400	44	usually	usually	ADV
easat-9787	400	45	approximated	approximate	VERB
easat-9787	400	46	by	by	ADP
easat-9787	400	47	white	white	ADJ
easat-9787	400	48	noise	noise	NOUN
easat-9787	400	49	[	[	X
easat-9787	400	50	10	10	NUM
easat-9787	400	51	]	]	PUNCT
easat-9787	400	52	.	.	PUNCT
easat-9787	401	1	but	but	CCONJ
easat-9787	401	2	,	,	PUNCT
easat-9787	401	3	as	as	SCONJ
easat-9787	401	4	series	series	NOUN
easat-9787	401	5	are	be	AUX
easat-9787	401	6	aggregated	aggregate	VERB
easat-9787	401	7	to	to	ADP
easat-9787	401	8	weekly	weekly	ADJ
easat-9787	401	9	and	and	CCONJ
easat-9787	401	10	monthly	monthly	ADJ
easat-9787	401	11	frequencies	frequency	NOUN
easat-9787	401	12	,	,	PUNCT
easat-9787	401	13	dw	dw	PROPN
easat-9787	401	14	statistics	statistic	NOUN
easat-9787	401	15	remain	remain	VERB
easat-9787	401	16	near	near	ADP
easat-9787	401	17	2.0	2.0	NUM
easat-9787	401	18	for	for	ADP
easat-9787	401	19	all	all	DET
easat-9787	401	20	aggregation	aggregation	NOUN
easat-9787	401	21	plans	plan	NOUN
easat-9787	401	22	.	.	PUNCT
easat-9787	402	1	for	for	ADP
easat-9787	402	2	usd	usd	NOUN
easat-9787	402	3	/	/	SYM
easat-9787	402	4	eur	eur	NOUN
easat-9787	402	5	,	,	PUNCT
easat-9787	402	6	the	the	DET
easat-9787	402	7	dw	dw	PROPN
easat-9787	402	8	numbers	number	NOUN
easat-9787	402	9	lie	lie	VERB
easat-9787	402	10	in	in	ADP
easat-9787	402	11	a	a	DET
easat-9787	402	12	relatively	relatively	ADV
easat-9787	402	13	narrow	narrow	ADJ
easat-9787	402	14	range	range	NOUN
easat-9787	402	15	between	between	ADP
easat-9787	402	16	1.991	1.991	NUM
easat-9787	402	17	and	and	CCONJ
easat-9787	402	18	2.007	2.007	NUM
easat-9787	402	19	;	;	PUNCT
easat-9787	402	20	for	for	ADP
easat-9787	402	21	usd	usd	NOUN
easat-9787	402	22	/	/	SYM
easat-9787	402	23	gbp	gbp	NOUN
easat-9787	402	24	,	,	PUNCT
easat-9787	402	25	from	from	ADP
easat-9787	402	26	1.981	1.981	NUM
easat-9787	402	27	to	to	ADP
easat-9787	402	28	2.019	2.019	NUM
easat-9787	402	29	.	.	PUNCT
easat-9787	403	1	though	though	SCONJ
easat-9787	403	2	apparently	apparently	ADV
easat-9787	403	3	strong	strong	ADJ
easat-9787	403	4	,	,	PUNCT
easat-9787	403	5	this	this	DET
easat-9787	403	6	coherence	coherence	NOUN
easat-9787	403	7	hides	hide	VERB
easat-9787	403	8	the	the	DET
easat-9787	403	9	test	test	NOUN
easat-9787	403	10	’s	’s	PART
easat-9787	403	11	reduced	reduce	VERB
easat-9787	403	12	sensitivity	sensitivity	NOUN
easat-9787	403	13	:	:	PUNCT
easat-9787	403	14	simulations	simulation	NOUN
easat-9787	403	15	have	have	AUX
easat-9787	403	16	shown	show	VERB
easat-9787	403	17	that	that	SCONJ
easat-9787	403	18	even	even	ADV
easat-9787	403	19	when	when	SCONJ
easat-9787	403	20	genuine	genuine	ADJ
easat-9787	403	21	autocorrelation	autocorrelation	NOUN
easat-9787	403	22	exists	exist	VERB
easat-9787	403	23	,	,	PUNCT
easat-9787	403	24	the	the	DET
easat-9787	403	25	dw	dw	PROPN
easat-9787	403	26	statistic	statistic	NOUN
easat-9787	403	27	will	will	AUX
easat-9787	403	28	converge	converge	VERB
easat-9787	403	29	towards	towards	ADP
easat-9787	403	30	2.0	2.0	NUM
easat-9787	403	31	under	under	ADP
easat-9787	403	32	smoothing	smooth	VERB
easat-9787	403	33	[	[	X
easat-9787	403	34	3	3	NUM
easat-9787	403	35	,	,	PUNCT
easat-9787	403	36	5	5	NUM
easat-9787	403	37	]	]	PUNCT
easat-9787	403	38	.	.	PUNCT
easat-9787	404	1	hence	hence	ADV
easat-9787	404	2	,	,	PUNCT
easat-9787	404	3	the	the	DET
easat-9787	404	4	test	test	NOUN
easat-9787	404	5	’s	’s	PART
easat-9787	404	6	apparent	apparent	ADJ
easat-9787	404	7	confirmation	confirmation	NOUN
easat-9787	404	8	of	of	ADP
easat-9787	404	9	the	the	DET
easat-9787	404	10	absence	absence	NOUN
easat-9787	404	11	of	of	ADP
easat-9787	404	12	autocorrelation	autocorrelation	NOUN
easat-9787	404	13	in	in	ADP
easat-9787	404	14	the	the	DET
easat-9787	404	15	series	series	NOUN
easat-9787	404	16	aggregates	aggregate	NOUN
easat-9787	404	17	is	be	AUX
easat-9787	404	18	better	well	ADV
easat-9787	404	19	explained	explain	VERB
easat-9787	404	20	by	by	ADP
easat-9787	404	21	its	its	PRON
easat-9787	404	22	reduced	reduce	VERB
easat-9787	404	23	power	power	NOUN
easat-9787	404	24	rather	rather	ADV
easat-9787	404	25	than	than	ADP
easat-9787	404	26	actual	actual	ADJ
easat-9787	404	27	independence	independence	NOUN
easat-9787	404	28	.	.	PUNCT
easat-9787	405	1	these	these	DET
easat-9787	405	2	results	result	NOUN
easat-9787	405	3	underscore	underscore	VERB
easat-9787	405	4	the	the	DET
easat-9787	405	5	necessity	necessity	NOUN
easat-9787	405	6	to	to	PART
easat-9787	405	7	put	put	VERB
easat-9787	405	8	dw	dw	PROPN
easat-9787	405	9	test	test	NOUN
easat-9787	405	10	outcomes	outcome	NOUN
easat-9787	405	11	into	into	ADP
easat-9787	405	12	context	context	NOUN
easat-9787	405	13	.	.	PUNCT
easat-9787	406	1	if	if	SCONJ
easat-9787	406	2	autocorrelation	autocorrelation	NOUN
easat-9787	406	3	in	in	ADP
easat-9787	406	4	weekly	weekly	ADJ
easat-9787	406	5	or	or	CCONJ
easat-9787	406	6	monthly	monthly	ADJ
easat-9787	406	7	returns	return	NOUN
easat-9787	406	8	fails	fail	VERB
easat-9787	406	9	to	to	PART
easat-9787	406	10	be	be	AUX
easat-9787	406	11	detected	detect	VERB
easat-9787	406	12	,	,	PUNCT
easat-9787	406	13	this	this	PRON
easat-9787	406	14	can	can	AUX
easat-9787	406	15	be	be	AUX
easat-9787	406	16	followed	follow	VERB
easat-9787	406	17	by	by	ADP
easat-9787	406	18	excessive	excessive	ADJ
easat-9787	406	19	trust	trust	NOUN
easat-9787	406	20	in	in	ADP
easat-9787	406	21	model	model	NOUN
easat-9787	406	22	fitting	fit	VERB
easat-9787	406	23	,	,	PUNCT
easat-9787	406	24	where	where	SCONJ
easat-9787	406	25	true	true	ADJ
easat-9787	406	26	underlying	underlying	ADJ
easat-9787	406	27	dynamics	dynamic	NOUN
easat-9787	406	28	have	have	AUX
easat-9787	406	29	been	be	AUX
easat-9787	406	30	obscured	obscure	VERB
easat-9787	406	31	by	by	ADP
easat-9787	406	32	aggregation	aggregation	NOUN
easat-9787	406	33	.	.	PUNCT
easat-9787	407	1	researchers	researcher	NOUN
easat-9787	407	2	who	who	PRON
easat-9787	407	3	rely	rely	VERB
easat-9787	407	4	solely	solely	ADV
easat-9787	407	5	on	on	ADP
easat-9787	407	6	dw	dw	PROPN
easat-9787	407	7	statistics	statistic	NOUN
easat-9787	407	8	in	in	ADP
easat-9787	407	9	lower	low	ADJ
easat-9787	407	10	-	-	PUNCT
easat-9787	407	11	frequency	frequency	NOUN
easat-9787	407	12	macroeconomic	macroeconomic	ADJ
easat-9787	407	13	or	or	CCONJ
easat-9787	407	14	financial	financial	ADJ
easat-9787	407	15	data	datum	NOUN
easat-9787	407	16	may	may	AUX
easat-9787	407	17	thus	thus	ADV
easat-9787	407	18	underestimate	underestimate	VERB
easat-9787	407	19	model	model	NOUN
easat-9787	407	20	misfit	misfit	NOUN
easat-9787	407	21	or	or	CCONJ
easat-9787	407	22	residual	residual	ADJ
easat-9787	407	23	structure	structure	NOUN
easat-9787	407	24	.	.	PUNCT
easat-9787	408	1	summary	summary	NOUN
easat-9787	408	2	statistics	statistic	NOUN
easat-9787	408	3	of	of	ADP
easat-9787	408	4	the	the	DET
easat-9787	408	5	log	log	NOUN
easat-9787	408	6	return	return	NOUN
easat-9787	408	7	series	series	NOUN
easat-9787	408	8	at	at	ADP
easat-9787	408	9	different	different	ADJ
easat-9787	408	10	levels	level	NOUN
easat-9787	408	11	of	of	ADP
easat-9787	408	12	aggregation	aggregation	NOUN
easat-9787	408	13	reveal	reveal	VERB
easat-9787	408	14	that	that	SCONJ
easat-9787	408	15	temporal	temporal	ADJ
easat-9787	408	16	aggregation	aggregation	NOUN
easat-9787	408	17	substantially	substantially	ADV
easat-9787	408	18	alters	alter	VERB
easat-9787	408	19	the	the	DET
easat-9787	408	20	distributional	distributional	ADJ
easat-9787	408	21	shape	shape	NOUN
easat-9787	408	22	of	of	ADP
easat-9787	408	23	financial	financial	ADJ
easat-9787	408	24	time	time	NOUN
easat-9787	408	25	series	series	PROPN
easat-9787	408	26	.	.	PUNCT
easat-9787	409	1	standard	standard	ADJ
easat-9787	409	2	deviations	deviation	NOUN
easat-9787	409	3	decrease	decrease	VERB
easat-9787	409	4	under	under	ADP
easat-9787	409	5	averaging	averaging	NOUN
easat-9787	409	6	—	—	PUNCT
easat-9787	409	7	from	from	ADP
easat-9787	409	8	0.0058	0.0058	NUM
easat-9787	409	9	in	in	ADP
easat-9787	409	10	daily	daily	ADJ
easat-9787	409	11	data	datum	NOUN
easat-9787	409	12	to	to	ADP
easat-9787	409	13	about	about	ADP
easat-9787	409	14	0.0023	0.0023	NUM
easat-9787	409	15	in	in	ADP
easat-9787	409	16	weekly	weekly	ADJ
easat-9787	409	17	averages	average	NOUN
easat-9787	409	18	,	,	PUNCT
easat-9787	409	19	implying	imply	VERB
easat-9787	409	20	volatility	volatility	NOUN
easat-9787	409	21	compression	compression	NOUN
easat-9787	409	22	.	.	PUNCT
easat-9787	410	1	kurtosis	kurtosis	NOUN
easat-9787	410	2	and	and	CCONJ
easat-9787	410	3	skewness	skewness	NOUN
easat-9787	410	4	also	also	ADV
easat-9787	410	5	converge	converge	VERB
easat-9787	410	6	towards	towards	ADP
easat-9787	410	7	normality	normality	NOUN
easat-9787	410	8	,	,	PUNCT
easat-9787	410	9	with	with	ADP
easat-9787	410	10	large	large	ADJ
easat-9787	410	11	decreases	decrease	NOUN
easat-9787	410	12	in	in	ADP
easat-9787	410	13	242	242	NUM
easat-9787	410	14	edelweiss	edelweiss	PROPN
easat-9787	410	15	applied	apply	VERB
easat-9787	410	16	science	science	NOUN
easat-9787	410	17	and	and	CCONJ
easat-9787	410	18	technology	technology	NOUN
easat-9787	410	19	issn	issn	PROPN
easat-9787	410	20	:	:	PUNCT
easat-9787	410	21	2576	2576	NUM
easat-9787	410	22	-	-	SYM
easat-9787	410	23	8484	8484	NUM
easat-9787	410	24	vol	vol	NOUN
easat-9787	410	25	.	.	PROPN
easat-9787	411	1	9	9	NUM
easat-9787	411	2	,	,	PUNCT
easat-9787	411	3	no	no	INTJ
easat-9787	411	4	.	.	NOUN
easat-9787	411	5	9	9	NUM
easat-9787	411	6	:	:	SYM
easat-9787	411	7	226	226	NUM
easat-9787	411	8	-	-	SYM
easat-9787	411	9	244	244	NUM
easat-9787	411	10	,	,	PUNCT
easat-9787	411	11	2025	2025	NUM
easat-9787	411	12	doi	doi	NOUN
easat-9787	411	13	:	:	PUNCT
easat-9787	411	14	10.55214/2576	10.55214/2576	NUM
easat-9787	411	15	-	-	PUNCT
easat-9787	411	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	411	17	©	©	PROPN
easat-9787	411	18	2025	2025	NUM
easat-9787	411	19	by	by	ADP
easat-9787	411	20	the	the	DET
easat-9787	411	21	author	author	NOUN
easat-9787	411	22	;	;	PUNCT
easat-9787	411	23	licensee	licensee	PROPN
easat-9787	411	24	learning	learning	NOUN
easat-9787	411	25	gate	gate	VERB
easat-9787	411	26	excess	excess	ADJ
easat-9787	411	27	kurtosis	kurtosis	NOUN
easat-9787	411	28	for	for	ADP
easat-9787	411	29	usd	usd	NOUN
easat-9787	411	30	/	/	SYM
easat-9787	411	31	gbp	gbp	NOUN
easat-9787	411	32	.	.	PUNCT
easat-9787	412	1	these	these	DET
easat-9787	412	2	transformations	transformation	NOUN
easat-9787	412	3	reduce	reduce	VERB
easat-9787	412	4	the	the	DET
easat-9787	412	5	detectability	detectability	NOUN
easat-9787	412	6	of	of	ADP
easat-9787	412	7	asymmetry	asymmetry	NOUN
easat-9787	412	8	and	and	CCONJ
easat-9787	412	9	heavy	heavy	ADJ
easat-9787	412	10	tails	tail	NOUN
easat-9787	412	11	,	,	PUNCT
easat-9787	412	12	and	and	CCONJ
easat-9787	412	13	thereby	thereby	ADV
easat-9787	412	14	weaken	weaken	VERB
easat-9787	412	15	the	the	DET
easat-9787	412	16	residual	residual	ADJ
easat-9787	412	17	structure	structure	NOUN
easat-9787	412	18	that	that	PRON
easat-9787	412	19	is	be	AUX
easat-9787	412	20	being	be	AUX
easat-9787	412	21	searched	search	VERB
easat-9787	412	22	for	for	ADP
easat-9787	412	23	by	by	ADP
easat-9787	412	24	the	the	DET
easat-9787	412	25	dw	dw	PROPN
easat-9787	412	26	test	test	NOUN
easat-9787	412	27	.	.	PUNCT
easat-9787	413	1	the	the	DET
easat-9787	413	2	finding	finding	NOUN
easat-9787	413	3	that	that	SCONJ
easat-9787	413	4	averaging	averaging	NOUN
easat-9787	413	5	reduces	reduce	VERB
easat-9787	413	6	variability	variability	NOUN
easat-9787	413	7	and	and	CCONJ
easat-9787	413	8	normalizes	normalize	VERB
easat-9787	413	9	distributions	distribution	NOUN
easat-9787	413	10	is	be	AUX
easat-9787	413	11	consistent	consistent	ADJ
easat-9787	413	12	with	with	ADP
easat-9787	413	13	theoretical	theoretical	ADJ
easat-9787	413	14	arguments	argument	NOUN
easat-9787	413	15	of	of	ADP
easat-9787	413	16	tiao	tiao	NOUN
easat-9787	413	17	and	and	CCONJ
easat-9787	413	18	wei	wei	NOUN
easat-9787	414	1	[	[	X
easat-9787	414	2	4	4	NUM
easat-9787	414	3	]	]	PUNCT
easat-9787	414	4	and	and	CCONJ
easat-9787	414	5	empirical	empirical	ADJ
easat-9787	414	6	results	result	NOUN
easat-9787	414	7	of	of	ADP
easat-9787	414	8	amado	amado	ADJ
easat-9787	414	9	and	and	CCONJ
easat-9787	414	10	teräsvirta	teräsvirta	NOUN
easat-9787	415	1	[	[	X
easat-9787	415	2	9	9	NUM
easat-9787	415	3	]	]	PUNCT
easat-9787	415	4	.	.	PUNCT
easat-9787	416	1	these	these	DET
easat-9787	416	2	alterations	alteration	NOUN
easat-9787	416	3	validate	validate	VERB
easat-9787	416	4	the	the	DET
easat-9787	416	5	overall	overall	ADJ
easat-9787	416	6	result	result	NOUN
easat-9787	416	7	that	that	SCONJ
easat-9787	416	8	data	data	NOUN
easat-9787	416	9	aggregation	aggregation	NOUN
easat-9787	416	10	changes	change	VERB
easat-9787	416	11	the	the	DET
easat-9787	416	12	underlying	underlying	ADJ
easat-9787	416	13	characteristics	characteristic	NOUN
easat-9787	416	14	of	of	ADP
easat-9787	416	15	the	the	DET
easat-9787	416	16	series	series	NOUN
easat-9787	416	17	with	with	ADP
easat-9787	416	18	significant	significant	ADJ
easat-9787	416	19	implications	implication	NOUN
easat-9787	416	20	for	for	ADP
easat-9787	416	21	autocorrelation	autocorrelation	NOUN
easat-9787	416	22	testing	testing	NOUN
easat-9787	416	23	.	.	PUNCT
easat-9787	417	1	both	both	CCONJ
easat-9787	417	2	the	the	DET
easat-9787	417	3	simulation	simulation	NOUN
easat-9787	417	4	and	and	CCONJ
easat-9787	417	5	empirical	empirical	ADJ
easat-9787	417	6	results	result	NOUN
easat-9787	417	7	point	point	VERB
easat-9787	417	8	to	to	ADP
easat-9787	417	9	the	the	DET
easat-9787	417	10	following	follow	VERB
easat-9787	417	11	conclusion	conclusion	NOUN
easat-9787	417	12	:	:	PUNCT
easat-9787	417	13	the	the	DET
easat-9787	417	14	durbin	durbin	ADJ
easat-9787	417	15	-	-	PUNCT
easat-9787	417	16	watson	watson	NOUN
easat-9787	417	17	test	test	NOUN
easat-9787	417	18	is	be	AUX
easat-9787	417	19	not	not	PART
easat-9787	417	20	stable	stable	ADJ
easat-9787	417	21	to	to	ADP
easat-9787	417	22	temporal	temporal	ADJ
easat-9787	417	23	aggregation	aggregation	NOUN
easat-9787	417	24	.	.	PUNCT
easat-9787	418	1	the	the	DET
easat-9787	418	2	diagnostic	diagnostic	ADJ
easat-9787	418	3	power	power	NOUN
easat-9787	418	4	of	of	ADP
easat-9787	418	5	the	the	DET
easat-9787	418	6	test	test	NOUN
easat-9787	418	7	deteriorates	deteriorate	VERB
easat-9787	418	8	quickly	quickly	ADV
easat-9787	418	9	with	with	ADP
easat-9787	418	10	increasing	increase	VERB
easat-9787	418	11	frequency	frequency	NOUN
easat-9787	418	12	loss	loss	NOUN
easat-9787	418	13	,	,	PUNCT
easat-9787	418	14	particularly	particularly	ADV
easat-9787	418	15	when	when	SCONJ
easat-9787	418	16	the	the	DET
easat-9787	418	17	autocorrelation	autocorrelation	NOUN
easat-9787	418	18	is	be	AUX
easat-9787	418	19	moderate	moderate	ADJ
easat-9787	418	20	,	,	PUNCT
easat-9787	418	21	model	model	NOUN
easat-9787	418	22	misspecification	misspecification	NOUN
easat-9787	418	23	,	,	PUNCT
easat-9787	418	24	or	or	CCONJ
easat-9787	418	25	non	non	NOUN
easat-9787	418	26	-	-	NOUN
easat-9787	418	27	linearities	linearity	NOUN
easat-9787	418	28	are	be	AUX
easat-9787	418	29	present	present	ADJ
easat-9787	418	30	.	.	PUNCT
easat-9787	419	1	while	while	SCONJ
easat-9787	419	2	the	the	DET
easat-9787	419	3	test	test	NOUN
easat-9787	419	4	performs	perform	VERB
easat-9787	419	5	fairly	fairly	ADV
easat-9787	419	6	well	well	ADV
easat-9787	419	7	in	in	ADP
easat-9787	419	8	idealized	idealized	ADJ
easat-9787	419	9	ar(1	ar(1	NOUN
easat-9787	419	10	)	)	PUNCT
easat-9787	419	11	scenarios	scenario	NOUN
easat-9787	419	12	with	with	ADP
easat-9787	419	13	no	no	DET
easat-9787	419	14	transformation	transformation	NOUN
easat-9787	419	15	,	,	PUNCT
easat-9787	419	16	the	the	DET
easat-9787	419	17	test	test	NOUN
easat-9787	419	18	is	be	AUX
easat-9787	419	19	prone	prone	ADJ
easat-9787	419	20	to	to	ADP
easat-9787	419	21	producing	produce	VERB
easat-9787	419	22	false	false	ADJ
easat-9787	419	23	negatives	negative	NOUN
easat-9787	419	24	in	in	ADP
easat-9787	419	25	more	more	ADV
easat-9787	419	26	realistic	realistic	ADJ
easat-9787	419	27	empirical	empirical	ADJ
easat-9787	419	28	scenarios	scenario	NOUN
easat-9787	419	29	.	.	PUNCT
easat-9787	420	1	the	the	DET
easat-9787	420	2	analysts	analyst	NOUN
easat-9787	420	3	working	work	VERB
easat-9787	420	4	with	with	ADP
easat-9787	420	5	aggregated	aggregate	VERB
easat-9787	420	6	time	time	NOUN
easat-9787	420	7	series	series	NOUN
easat-9787	420	8	—	—	PUNCT
easat-9787	420	9	ever	ever	ADV
easat-9787	420	10	-	-	PUNCT
easat-9787	420	11	present	present	ADJ
easat-9787	420	12	in	in	ADP
easat-9787	420	13	macroeconomic	macroeconomic	ADJ
easat-9787	420	14	prediction	prediction	NOUN
easat-9787	420	15	,	,	PUNCT
easat-9787	420	16	financial	financial	ADJ
easat-9787	420	17	modeling	modeling	NOUN
easat-9787	420	18	,	,	PUNCT
easat-9787	420	19	and	and	CCONJ
easat-9787	420	20	econometric	econometric	ADJ
easat-9787	420	21	analysis	analysis	NOUN
easat-9787	420	22	—	—	PUNCT
easat-9787	420	23	need	need	VERB
easat-9787	420	24	to	to	PART
easat-9787	420	25	treat	treat	VERB
easat-9787	420	26	dw	dw	NOUN
easat-9787	420	27	statistics	statistic	NOUN
easat-9787	420	28	carefully	carefully	ADV
easat-9787	420	29	.	.	PUNCT
easat-9787	421	1	augmenting	augment	VERB
easat-9787	421	2	tests	test	NOUN
easat-9787	421	3	like	like	ADP
easat-9787	421	4	breusch	breusch	NOUN
easat-9787	421	5	-	-	PUNCT
easat-9787	421	6	godfrey	godfrey	NOUN
easat-9787	421	7	,	,	PUNCT
easat-9787	421	8	ljung	ljung	PROPN
easat-9787	421	9	-	-	PUNCT
easat-9787	421	10	box	box	NOUN
easat-9787	421	11	,	,	PUNCT
easat-9787	421	12	or	or	CCONJ
easat-9787	421	13	portmanteau	portmanteau	NOUN
easat-9787	421	14	tests	test	NOUN
easat-9787	421	15	based	base	VERB
easat-9787	421	16	on	on	ADP
easat-9787	421	17	residuals	residual	NOUN
easat-9787	421	18	provides	provide	VERB
easat-9787	421	19	more	more	ADJ
easat-9787	421	20	robustness	robustness	NOUN
easat-9787	421	21	under	under	ADP
easat-9787	421	22	data	datum	NOUN
easat-9787	421	23	transformation	transformation	NOUN
easat-9787	421	24	.	.	PUNCT
easat-9787	422	1	future	future	ADJ
easat-9787	422	2	research	research	NOUN
easat-9787	422	3	must	must	AUX
easat-9787	422	4	investigate	investigate	VERB
easat-9787	422	5	the	the	DET
easat-9787	422	6	application	application	NOUN
easat-9787	422	7	of	of	ADP
easat-9787	422	8	mixed	mixed	ADJ
easat-9787	422	9	-	-	PUNCT
easat-9787	422	10	frequency	frequency	NOUN
easat-9787	422	11	models	model	NOUN
easat-9787	422	12	and	and	CCONJ
easat-9787	422	13	frequency	frequency	NOUN
easat-9787	422	14	-	-	PUNCT
easat-9787	422	15	domain	domain	NOUN
easat-9787	422	16	diagnostics	diagnostic	NOUN
easat-9787	422	17	as	as	ADP
easat-9787	422	18	substitutes	substitute	NOUN
easat-9787	422	19	that	that	PRON
easat-9787	422	20	retain	retain	VERB
easat-9787	422	21	high	high	ADJ
easat-9787	422	22	-	-	PUNCT
easat-9787	422	23	frequency	frequency	NOUN
easat-9787	422	24	information	information	NOUN
easat-9787	422	25	without	without	ADP
easat-9787	422	26	precluding	preclude	VERB
easat-9787	422	27	low	low	ADJ
easat-9787	422	28	-	-	PUNCT
easat-9787	422	29	frequency	frequency	NOUN
easat-9787	422	30	inference	inference	NOUN
easat-9787	422	31	[	[	X
easat-9787	422	32	6	6	NUM
easat-9787	422	33	]	]	PUNCT
easat-9787	422	34	.	.	PUNCT
easat-9787	423	1	in	in	ADP
easat-9787	423	2	short	short	ADJ
easat-9787	423	3	,	,	PUNCT
easat-9787	423	4	temporal	temporal	ADJ
easat-9787	423	5	aggregation	aggregation	NOUN
easat-9787	423	6	imposes	impose	VERB
easat-9787	423	7	nontrivial	nontrivial	ADJ
easat-9787	423	8	constraints	constraint	NOUN
easat-9787	423	9	on	on	ADP
easat-9787	423	10	residual	residual	ADJ
easat-9787	423	11	diagnostics	diagnostic	NOUN
easat-9787	423	12	.	.	PUNCT
easat-9787	424	1	the	the	DET
easat-9787	424	2	historically	historically	ADV
easat-9787	424	3	relied	rely	VERB
easat-9787	424	4	-	-	PUNCT
easat-9787	424	5	upon	upon	ADP
easat-9787	424	6	durbin	durbin	ADJ
easat-9787	424	7	-	-	PUNCT
easat-9787	424	8	watson	watson	NOUN
easat-9787	424	9	test	test	NOUN
easat-9787	424	10	,	,	PUNCT
easat-9787	424	11	its	its	PRON
easat-9787	424	12	reputation	reputation	NOUN
easat-9787	424	13	established	establish	VERB
easat-9787	424	14	on	on	ADP
easat-9787	424	15	simplicity	simplicity	NOUN
easat-9787	424	16	and	and	CCONJ
easat-9787	424	17	accessibility	accessibility	NOUN
easat-9787	424	18	,	,	PUNCT
easat-9787	424	19	becomes	become	VERB
easat-9787	424	20	a	a	DET
easat-9787	424	21	blunt	blunt	ADJ
easat-9787	424	22	tool	tool	NOUN
easat-9787	424	23	in	in	ADP
easat-9787	424	24	aggregated	aggregate	VERB
easat-9787	424	25	settings	setting	NOUN
easat-9787	424	26	.	.	PUNCT
easat-9787	425	1	researchers	researcher	NOUN
easat-9787	425	2	and	and	CCONJ
easat-9787	425	3	analysts	analyst	NOUN
easat-9787	425	4	must	must	AUX
easat-9787	425	5	give	give	VERB
easat-9787	425	6	these	these	DET
easat-9787	425	7	limitations	limitation	NOUN
easat-9787	425	8	due	due	ADJ
easat-9787	425	9	respect	respect	NOUN
easat-9787	425	10	and	and	CCONJ
easat-9787	425	11	adjust	adjust	VERB
easat-9787	425	12	their	their	PRON
easat-9787	425	13	test	test	NOUN
easat-9787	425	14	strategies	strategy	NOUN
easat-9787	425	15	accordingly	accordingly	ADV
easat-9787	425	16	in	in	ADP
easat-9787	425	17	order	order	NOUN
easat-9787	425	18	to	to	PART
easat-9787	425	19	avoid	avoid	VERB
easat-9787	425	20	misleading	mislead	VERB
easat-9787	425	21	conclusions	conclusion	NOUN
easat-9787	425	22	about	about	ADP
easat-9787	425	23	autocorrelation	autocorrelation	NOUN
easat-9787	425	24	and	and	CCONJ
easat-9787	425	25	model	model	NOUN
easat-9787	425	26	fit	fit	PROPN
easat-9787	425	27	.	.	PUNCT
easat-9787	426	1	7	7	X
easat-9787	426	2	.	.	X
easat-9787	426	3	conclusion	conclusion	NOUN
easat-9787	426	4	this	this	DET
easat-9787	426	5	paper	paper	NOUN
easat-9787	426	6	examined	examine	VERB
easat-9787	426	7	the	the	DET
easat-9787	426	8	sensitivity	sensitivity	NOUN
easat-9787	426	9	of	of	ADP
easat-9787	426	10	the	the	DET
easat-9787	426	11	durbin	durbin	NOUN
easat-9787	426	12	-	-	PUNCT
easat-9787	426	13	watson	watson	NOUN
easat-9787	426	14	(	(	PUNCT
easat-9787	426	15	dw	dw	NOUN
easat-9787	426	16	)	)	PUNCT
easat-9787	426	17	test	test	NOUN
easat-9787	426	18	to	to	ADP
easat-9787	426	19	temporal	temporal	ADJ
easat-9787	426	20	aggregation	aggregation	NOUN
easat-9787	426	21	based	base	VERB
easat-9787	426	22	on	on	ADP
easat-9787	426	23	a	a	DET
easat-9787	426	24	two	two	NUM
easat-9787	426	25	-	-	PUNCT
easat-9787	426	26	fold	fold	ADJ
easat-9787	426	27	approach	approach	NOUN
easat-9787	426	28	:	:	PUNCT
easat-9787	426	29	monte	monte	PROPN
easat-9787	426	30	carlo	carlo	PROPN
easat-9787	426	31	simulation	simulation	PROPN
easat-9787	426	32	and	and	CCONJ
easat-9787	426	33	empirical	empirical	ADJ
easat-9787	426	34	implementation	implementation	NOUN
easat-9787	426	35	on	on	ADP
easat-9787	426	36	high	high	ADJ
easat-9787	426	37	-	-	PUNCT
easat-9787	426	38	frequency	frequency	NOUN
easat-9787	426	39	exchange	exchange	NOUN
easat-9787	426	40	rate	rate	NOUN
easat-9787	426	41	data	datum	NOUN
easat-9787	426	42	.	.	PUNCT
easat-9787	427	1	the	the	DET
easat-9787	427	2	results	result	NOUN
easat-9787	427	3	are	be	AUX
easat-9787	427	4	that	that	SCONJ
easat-9787	427	5	,	,	PUNCT
easat-9787	427	6	while	while	SCONJ
easat-9787	427	7	the	the	DET
easat-9787	427	8	dw	dw	PROPN
easat-9787	427	9	test	test	NOUN
easat-9787	427	10	operates	operate	VERB
easat-9787	427	11	well	well	ADV
easat-9787	427	12	in	in	ADP
easat-9787	427	13	the	the	DET
easat-9787	427	14	simple	simple	ADJ
easat-9787	427	15	ar(1	ar(1	PROPN
easat-9787	427	16	)	)	PUNCT
easat-9787	427	17	situation	situation	NOUN
easat-9787	427	18	with	with	ADP
easat-9787	427	19	untransformed	untransformed	ADJ
easat-9787	427	20	data	datum	NOUN
easat-9787	427	21	,	,	PUNCT
easat-9787	427	22	it	it	PRON
easat-9787	427	23	is	be	AUX
easat-9787	427	24	highly	highly	ADV
easat-9787	427	25	vulnerable	vulnerable	ADJ
easat-9787	427	26	to	to	ADP
easat-9787	427	27	information	information	NOUN
easat-9787	427	28	loss	loss	NOUN
easat-9787	427	29	induced	induce	VERB
easat-9787	427	30	by	by	ADP
easat-9787	427	31	aggregation	aggregation	NOUN
easat-9787	427	32	.	.	PUNCT
easat-9787	428	1	as	as	SCONJ
easat-9787	428	2	the	the	DET
easat-9787	428	3	sampling	sample	VERB
easat-9787	428	4	frequency	frequency	NOUN
easat-9787	428	5	decreases	decrease	NOUN
easat-9787	428	6	—	—	PUNCT
easat-9787	428	7	whether	whether	SCONJ
easat-9787	428	8	through	through	ADP
easat-9787	428	9	last	last	ADJ
easat-9787	428	10	observation	observation	NOUN
easat-9787	428	11	sampling	sampling	NOUN
easat-9787	428	12	or	or	CCONJ
easat-9787	428	13	arithmetic	arithmetic	ADJ
easat-9787	428	14	averaging	averaging	NOUN
easat-9787	428	15	—	—	PUNCT
easat-9787	428	16	the	the	DET
easat-9787	428	17	power	power	NOUN
easat-9787	428	18	of	of	ADP
easat-9787	428	19	the	the	DET
easat-9787	428	20	dw	dw	PROPN
easat-9787	428	21	test	test	NOUN
easat-9787	428	22	in	in	ADP
easat-9787	428	23	detecting	detect	VERB
easat-9787	428	24	autocorrelation	autocorrelation	NOUN
easat-9787	428	25	decreases	decrease	VERB
easat-9787	428	26	considerably	considerably	ADV
easat-9787	428	27	.	.	PUNCT
easat-9787	429	1	this	this	DET
easat-9787	429	2	decrease	decrease	NOUN
easat-9787	429	3	is	be	AUX
easat-9787	429	4	particularly	particularly	ADV
easat-9787	429	5	severe	severe	ADJ
easat-9787	429	6	in	in	ADP
easat-9787	429	7	the	the	DET
easat-9787	429	8	presence	presence	NOUN
easat-9787	429	9	of	of	ADP
easat-9787	429	10	moderate	moderate	ADJ
easat-9787	429	11	autocorrelation	autocorrelation	NOUN
easat-9787	429	12	,	,	PUNCT
easat-9787	429	13	model	model	NOUN
easat-9787	429	14	misspecification	misspecification	NOUN
easat-9787	429	15	,	,	PUNCT
easat-9787	429	16	or	or	CCONJ
easat-9787	429	17	higher	high	ADJ
easat-9787	429	18	-	-	PUNCT
easat-9787	429	19	order	order	NOUN
easat-9787	429	20	and	and	CCONJ
easat-9787	429	21	mixed	mixed	ADJ
easat-9787	429	22	dynamic	dynamic	ADJ
easat-9787	429	23	specifications	specification	NOUN
easat-9787	429	24	.	.	PUNCT
easat-9787	430	1	even	even	ADV
easat-9787	430	2	with	with	ADP
easat-9787	430	3	strong	strong	ADJ
easat-9787	430	4	autocorrelation	autocorrelation	NOUN
easat-9787	430	5	,	,	PUNCT
easat-9787	430	6	aggregation	aggregation	NOUN
easat-9787	430	7	causes	cause	VERB
easat-9787	430	8	the	the	DET
easat-9787	430	9	dw	dw	PROPN
easat-9787	430	10	statistics	statistic	NOUN
easat-9787	430	11	to	to	PART
easat-9787	430	12	tend	tend	VERB
easat-9787	430	13	to	to	ADP
easat-9787	430	14	their	their	PRON
easat-9787	430	15	null	null	ADJ
easat-9787	430	16	value	value	NOUN
easat-9787	430	17	,	,	PUNCT
easat-9787	430	18	and	and	CCONJ
easat-9787	430	19	this	this	PRON
easat-9787	430	20	can	can	AUX
easat-9787	430	21	induce	induce	VERB
easat-9787	430	22	researchers	researcher	NOUN
easat-9787	430	23	to	to	PART
easat-9787	430	24	incorrectly	incorrectly	ADV
easat-9787	430	25	presume	presume	VERB
easat-9787	430	26	residual	residual	ADJ
easat-9787	430	27	independence	independence	NOUN
easat-9787	430	28	.	.	PUNCT
easat-9787	431	1	empirical	empirical	ADJ
easat-9787	431	2	findings	finding	NOUN
easat-9787	431	3	using	use	VERB
easat-9787	431	4	1999	1999	NUM
easat-9787	431	5	-	-	SYM
easat-9787	431	6	2025	2025	NUM
easat-9787	431	7	daily	daily	ADJ
easat-9787	431	8	usd	usd	NOUN
easat-9787	431	9	/	/	SYM
easat-9787	431	10	eur	eur	NOUN
easat-9787	431	11	and	and	CCONJ
easat-9787	431	12	usd	usd	ADJ
easat-9787	431	13	/	/	SYM
easat-9787	431	14	gbp	gbp	NOUN
easat-9787	431	15	exchange	exchange	NOUN
easat-9787	431	16	rates	rate	NOUN
easat-9787	431	17	validate	validate	VERB
easat-9787	431	18	simulation	simulation	NOUN
easat-9787	431	19	findings	finding	NOUN
easat-9787	431	20	.	.	PUNCT
easat-9787	432	1	despite	despite	SCONJ
easat-9787	432	2	financial	financial	ADJ
easat-9787	432	3	returns	return	NOUN
easat-9787	432	4	’	'	PUNCT
easat-9787	432	5	inherent	inherent	ADJ
easat-9787	432	6	volatility	volatility	NOUN
easat-9787	432	7	and	and	CCONJ
easat-9787	432	8	potential	potential	ADJ
easat-9787	432	9	serial	serial	ADJ
easat-9787	432	10	dependence	dependence	NOUN
easat-9787	432	11	,	,	PUNCT
easat-9787	432	12	the	the	DET
easat-9787	432	13	dw	dw	PROPN
easat-9787	432	14	statistics	statistic	NOUN
easat-9787	432	15	are	be	AUX
easat-9787	432	16	approximately	approximately	ADV
easat-9787	432	17	2.0	2.0	NUM
easat-9787	432	18	for	for	ADP
easat-9787	432	19	all	all	DET
easat-9787	432	20	levels	level	NOUN
easat-9787	432	21	of	of	ADP
easat-9787	432	22	aggregation	aggregation	NOUN
easat-9787	432	23	.	.	PUNCT
easat-9787	433	1	the	the	DET
easat-9787	433	2	seeming	seem	VERB
easat-9787	433	3	stability	stability	NOUN
easat-9787	433	4	is	be	AUX
easat-9787	433	5	spurious	spurious	ADJ
easat-9787	433	6	in	in	SCONJ
easat-9787	433	7	that	that	SCONJ
easat-9787	433	8	it	it	PRON
easat-9787	433	9	is	be	AUX
easat-9787	433	10	an	an	DET
easat-9787	433	11	aftermath	aftermath	NOUN
easat-9787	433	12	of	of	ADP
easat-9787	433	13	the	the	DET
easat-9787	433	14	test	test	NOUN
easat-9787	433	15	’s	’s	PART
easat-9787	433	16	lower	low	ADJ
easat-9787	433	17	sensitivity	sensitivity	NOUN
easat-9787	433	18	with	with	ADP
easat-9787	433	19	aggregation	aggregation	NOUN
easat-9787	433	20	,	,	PUNCT
easat-9787	433	21	rather	rather	ADV
easat-9787	433	22	than	than	ADP
easat-9787	433	23	an	an	DET
easat-9787	433	24	indication	indication	NOUN
easat-9787	433	25	of	of	ADP
easat-9787	433	26	the	the	DET
easat-9787	433	27	absence	absence	NOUN
easat-9787	433	28	of	of	ADP
easat-9787	433	29	autocorrelation	autocorrelation	NOUN
easat-9787	433	30	.	.	PUNCT
easat-9787	434	1	summary	summary	NOUN
easat-9787	434	2	statistics	statistic	NOUN
easat-9787	434	3	further	far	ADV
easat-9787	434	4	confirm	confirm	VERB
easat-9787	434	5	the	the	DET
easat-9787	434	6	establishment	establishment	NOUN
easat-9787	434	7	that	that	PRON
easat-9787	434	8	aggregation	aggregation	NOUN
easat-9787	434	9	smoothens	smoothen	VERB
easat-9787	434	10	volatility	volatility	NOUN
easat-9787	434	11	and	and	CCONJ
easat-9787	434	12	reduces	reduce	VERB
easat-9787	434	13	distributional	distributional	ADJ
easat-9787	434	14	asymmetry	asymmetry	NOUN
easat-9787	434	15	,	,	PUNCT
easat-9787	434	16	hiding	hide	VERB
easat-9787	434	17	residual	residual	ADJ
easat-9787	434	18	dynamics	dynamic	NOUN
easat-9787	434	19	intended	intend	VERB
easat-9787	434	20	to	to	PART
easat-9787	434	21	be	be	AUX
easat-9787	434	22	detected	detect	VERB
easat-9787	434	23	by	by	ADP
easat-9787	434	24	the	the	DET
easat-9787	434	25	dw	dw	PROPN
easat-9787	434	26	test	test	NOUN
easat-9787	434	27	.	.	PUNCT
easat-9787	435	1	these	these	DET
easat-9787	435	2	findings	finding	NOUN
easat-9787	435	3	carry	carry	VERB
easat-9787	435	4	important	important	ADJ
easat-9787	435	5	practical	practical	ADJ
easat-9787	435	6	implications	implication	NOUN
easat-9787	435	7	for	for	ADP
easat-9787	435	8	empirical	empirical	ADJ
easat-9787	435	9	inquiry	inquiry	NOUN
easat-9787	435	10	.	.	PUNCT
easat-9787	436	1	applied	apply	VERB
easat-9787	436	2	researchers	researcher	NOUN
easat-9787	436	3	working	work	VERB
easat-9787	436	4	with	with	ADP
easat-9787	436	5	macroeconomic	macroeconomic	ADJ
easat-9787	436	6	,	,	PUNCT
easat-9787	436	7	financial	financial	ADJ
easat-9787	436	8	,	,	PUNCT
easat-9787	436	9	or	or	CCONJ
easat-9787	436	10	panel	panel	NOUN
easat-9787	436	11	data	datum	NOUN
easat-9787	436	12	,	,	PUNCT
easat-9787	436	13	which	which	PRON
easat-9787	436	14	are	be	AUX
easat-9787	436	15	often	often	ADV
easat-9787	436	16	in	in	ADP
easat-9787	436	17	low	low	ADJ
easat-9787	436	18	-	-	PUNCT
easat-9787	436	19	frequency	frequency	NOUN
easat-9787	436	20	aggregates	aggregate	NOUN
easat-9787	436	21	due	due	ADP
easat-9787	436	22	to	to	ADP
easat-9787	436	23	availability	availability	NOUN
easat-9787	436	24	or	or	CCONJ
easat-9787	436	25	practical	practical	ADJ
easat-9787	436	26	constraints	constraint	NOUN
easat-9787	436	27	,	,	PUNCT
easat-9787	436	28	commonly	commonly	ADV
easat-9787	436	29	find	find	VERB
easat-9787	436	30	themselves	themselves	PRON
easat-9787	436	31	subject	subject	ADJ
easat-9787	436	32	to	to	ADP
easat-9787	436	33	these	these	DET
easat-9787	436	34	results	result	NOUN
easat-9787	436	35	.	.	PUNCT
easat-9787	437	1	but	but	CCONJ
easat-9787	437	2	in	in	ADP
easat-9787	437	3	these	these	DET
easat-9787	437	4	cases	case	NOUN
easat-9787	437	5	,	,	PUNCT
easat-9787	437	6	the	the	DET
easat-9787	437	7	durbin	durbin	ADJ
easat-9787	437	8	-	-	PUNCT
easat-9787	437	9	watson	watson	NOUN
easat-9787	437	10	test	test	NOUN
easat-9787	437	11	should	should	AUX
easat-9787	437	12	be	be	AUX
easat-9787	437	13	used	use	VERB
easat-9787	437	14	with	with	ADP
easat-9787	437	15	caution	caution	NOUN
easat-9787	437	16	.	.	PUNCT
easat-9787	438	1	its	its	PRON
easat-9787	438	2	repetition	repetition	NOUN
easat-9787	438	3	without	without	ADP
easat-9787	438	4	accounting	account	VERB
easat-9787	438	5	for	for	ADP
easat-9787	438	6	aggregation	aggregation	NOUN
easat-9787	438	7	effects	effect	NOUN
easat-9787	438	8	can	can	AUX
easat-9787	438	9	cause	cause	VERB
easat-9787	438	10	underdiagnosis	underdiagnosis	NOUN
easat-9787	438	11	of	of	ADP
easat-9787	438	12	serial	serial	ADJ
easat-9787	438	13	correlation	correlation	NOUN
easat-9787	438	14	,	,	PUNCT
easat-9787	438	15	which	which	PRON
easat-9787	438	16	will	will	AUX
easat-9787	438	17	eventually	eventually	ADV
easat-9787	438	18	reflect	reflect	VERB
easat-9787	438	19	on	on	ADP
easat-9787	438	20	inference	inference	NOUN
easat-9787	438	21	,	,	PUNCT
easat-9787	438	22	forecasting	forecasting	NOUN
easat-9787	438	23	,	,	PUNCT
easat-9787	438	24	and	and	CCONJ
easat-9787	438	25	policy	policy	NOUN
easat-9787	438	26	assessment	assessment	NOUN
easat-9787	438	27	.	.	PUNCT
easat-9787	439	1	stronger	strong	ADJ
easat-9787	439	2	alternatives	alternative	NOUN
easat-9787	439	3	,	,	PUNCT
easat-9787	439	4	such	such	ADJ
easat-9787	439	5	as	as	ADP
easat-9787	439	6	the	the	DET
easat-9787	439	7	breusch	breusch	NOUN
easat-9787	439	8	-	-	PUNCT
easat-9787	439	9	godfrey	godfrey	PROPN
easat-9787	439	10	test	test	NOUN
easat-9787	439	11	,	,	PUNCT
easat-9787	439	12	ljung	ljung	PROPN
easat-9787	439	13	-	-	PUNCT
easat-9787	439	14	box	box	NOUN
easat-9787	439	15	q	q	NOUN
easat-9787	439	16	-	-	NOUN
easat-9787	439	17	test	test	NOUN
easat-9787	439	18	,	,	PUNCT
easat-9787	439	19	or	or	CCONJ
easat-9787	439	20	mixed	mixed	ADJ
easat-9787	439	21	-	-	PUNCT
easat-9787	439	22	frequency	frequency	NOUN
easat-9787	439	23	model	model	NOUN
easat-9787	439	24	procedures	procedure	NOUN
easat-9787	439	25	,	,	PUNCT
easat-9787	439	26	have	have	VERB
easat-9787	439	27	to	to	PART
easat-9787	439	28	be	be	AUX
easat-9787	439	29	employed	employ	VERB
easat-9787	439	30	when	when	SCONJ
easat-9787	439	31	working	work	VERB
easat-9787	439	32	with	with	ADP
easat-9787	439	33	aggregated	aggregated	ADJ
easat-9787	439	34	data	datum	NOUN
easat-9787	439	35	.	.	PUNCT
easat-9787	440	1	243	243	NUM
easat-9787	440	2	edelweiss	edelweiss	PROPN
easat-9787	440	3	applied	apply	VERB
easat-9787	440	4	science	science	NOUN
easat-9787	440	5	and	and	CCONJ
easat-9787	440	6	technology	technology	NOUN
easat-9787	440	7	issn	issn	PROPN
easat-9787	440	8	:	:	PUNCT
easat-9787	440	9	2576	2576	NUM
easat-9787	440	10	-	-	SYM
easat-9787	440	11	8484	8484	NUM
easat-9787	440	12	vol	vol	NOUN
easat-9787	440	13	.	.	PROPN
easat-9787	441	1	9	9	NUM
easat-9787	441	2	,	,	PUNCT
easat-9787	441	3	no	no	INTJ
easat-9787	441	4	.	.	NOUN
easat-9787	441	5	9	9	NUM
easat-9787	441	6	:	:	SYM
easat-9787	441	7	226	226	NUM
easat-9787	441	8	-	-	SYM
easat-9787	441	9	244	244	NUM
easat-9787	441	10	,	,	PUNCT
easat-9787	441	11	2025	2025	NUM
easat-9787	441	12	doi	doi	NOUN
easat-9787	441	13	:	:	PUNCT
easat-9787	441	14	10.55214/2576	10.55214/2576	NUM
easat-9787	441	15	-	-	PUNCT
easat-9787	441	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	441	17	©	©	PROPN
easat-9787	441	18	2025	2025	NUM
easat-9787	441	19	by	by	ADP
easat-9787	441	20	the	the	DET
easat-9787	441	21	author	author	NOUN
easat-9787	441	22	;	;	PUNCT
easat-9787	441	23	licensee	licensee	PROPN
easat-9787	441	24	learning	learn	VERB
easat-9787	441	25	gate	gate	NOUN
easat-9787	441	26	despite	despite	SCONJ
easat-9787	441	27	the	the	DET
easat-9787	441	28	robustness	robustness	NOUN
easat-9787	441	29	of	of	ADP
easat-9787	441	30	the	the	DET
easat-9787	441	31	findings	finding	NOUN
easat-9787	441	32	,	,	PUNCT
easat-9787	441	33	there	there	PRON
easat-9787	441	34	are	be	VERB
easat-9787	441	35	several	several	ADJ
easat-9787	441	36	limitations	limitation	NOUN
easat-9787	441	37	to	to	ADP
easat-9787	441	38	this	this	DET
easat-9787	441	39	analysis	analysis	NOUN
easat-9787	441	40	.	.	PUNCT
easat-9787	442	1	the	the	DET
easat-9787	442	2	first	first	ADJ
easat-9787	442	3	is	be	AUX
easat-9787	442	4	that	that	SCONJ
easat-9787	442	5	simulations	simulation	NOUN
easat-9787	442	6	were	be	AUX
easat-9787	442	7	drawn	draw	VERB
easat-9787	442	8	from	from	ADP
easat-9787	442	9	linear	linear	PROPN
easat-9787	442	10	dgps	dgps	PROPN
easat-9787	442	11	with	with	ADP
easat-9787	442	12	gaussian	gaussian	ADJ
easat-9787	442	13	innovations	innovation	NOUN
easat-9787	442	14	,	,	PUNCT
easat-9787	442	15	which	which	PRON
easat-9787	442	16	,	,	PUNCT
easat-9787	442	17	while	while	SCONJ
easat-9787	442	18	indicative	indicative	ADJ
easat-9787	442	19	,	,	PUNCT
easat-9787	442	20	are	be	AUX
easat-9787	442	21	wanting	want	VERB
easat-9787	442	22	in	in	ADP
easat-9787	442	23	reflecting	reflect	VERB
easat-9787	442	24	the	the	DET
easat-9787	442	25	range	range	NOUN
easat-9787	442	26	of	of	ADP
easat-9787	442	27	nonlinearities	nonlinearitie	NOUN
easat-9787	442	28	and	and	CCONJ
easat-9787	442	29	heteroskedasticity	heteroskedasticity	NOUN
easat-9787	442	30	found	find	VERB
easat-9787	442	31	in	in	ADP
easat-9787	442	32	empirical	empirical	ADJ
easat-9787	442	33	applications	application	NOUN
easat-9787	442	34	.	.	PUNCT
easat-9787	443	1	second	second	ADJ
easat-9787	443	2	,	,	PUNCT
easat-9787	443	3	the	the	DET
easat-9787	443	4	empirical	empirical	ADJ
easat-9787	443	5	test	test	NOUN
easat-9787	443	6	only	only	ADV
easat-9787	443	7	considered	consider	VERB
easat-9787	443	8	two	two	NUM
easat-9787	443	9	currency	currency	NOUN
easat-9787	443	10	pairs	pair	NOUN
easat-9787	443	11	,	,	PUNCT
easat-9787	443	12	although	although	SCONJ
easat-9787	443	13	representative	representative	NOUN
easat-9787	443	14	,	,	PUNCT
easat-9787	443	15	more	more	ADV
easat-9787	443	16	extensive	extensive	ADJ
easat-9787	443	17	cross	cross	ADJ
easat-9787	443	18	-	-	ADJ
easat-9787	443	19	asset	asset	ADJ
easat-9787	443	20	or	or	CCONJ
easat-9787	443	21	cross	cross	ADJ
easat-9787	443	22	-	-	ADJ
easat-9787	443	23	country	country	ADJ
easat-9787	443	24	validation	validation	NOUN
easat-9787	443	25	would	would	AUX
easat-9787	443	26	provide	provide	VERB
easat-9787	443	27	more	more	ADV
easat-9787	443	28	generalizable	generalizable	ADJ
easat-9787	443	29	results	result	NOUN
easat-9787	443	30	.	.	PUNCT
easat-9787	444	1	third	third	ADV
easat-9787	444	2	,	,	PUNCT
easat-9787	444	3	the	the	DET
easat-9787	444	4	analysis	analysis	NOUN
easat-9787	444	5	did	do	AUX
easat-9787	444	6	not	not	PART
easat-9787	444	7	test	test	VERB
easat-9787	444	8	seasonality	seasonality	NOUN
easat-9787	444	9	or	or	CCONJ
easat-9787	444	10	structural	structural	ADJ
easat-9787	444	11	breaks	break	NOUN
easat-9787	444	12	,	,	PUNCT
easat-9787	444	13	which	which	PRON
easat-9787	444	14	also	also	ADV
easat-9787	444	15	interact	interact	VERB
easat-9787	444	16	with	with	ADP
easat-9787	444	17	aggregation	aggregation	NOUN
easat-9787	444	18	and	and	CCONJ
easat-9787	444	19	power	power	NOUN
easat-9787	444	20	testing	testing	NOUN
easat-9787	444	21	.	.	PUNCT
easat-9787	445	1	subsequent	subsequent	ADJ
easat-9787	445	2	research	research	NOUN
easat-9787	445	3	should	should	AUX
easat-9787	445	4	pursue	pursue	VERB
easat-9787	445	5	this	this	DET
easat-9787	445	6	endeavor	endeavor	NOUN
easat-9787	445	7	in	in	ADP
easat-9787	445	8	a	a	DET
easat-9787	445	9	number	number	NOUN
easat-9787	445	10	of	of	ADP
easat-9787	445	11	ways	way	NOUN
easat-9787	445	12	.	.	PUNCT
easat-9787	446	1	firstly	firstly	ADV
easat-9787	446	2	,	,	PUNCT
easat-9787	446	3	autocorrelation	autocorrelation	NOUN
easat-9787	446	4	test	test	NOUN
easat-9787	446	5	performance	performance	NOUN
easat-9787	446	6	under	under	ADP
easat-9787	446	7	nonlinear	nonlinear	ADJ
easat-9787	446	8	specifications	specification	NOUN
easat-9787	446	9	and	and	CCONJ
easat-9787	446	10	heavy	heavy	ADJ
easat-9787	446	11	-	-	PUNCT
easat-9787	446	12	tailed	tail	VERB
easat-9787	446	13	innovation	innovation	NOUN
easat-9787	446	14	distributions	distribution	NOUN
easat-9787	446	15	could	could	AUX
easat-9787	446	16	be	be	AUX
easat-9787	446	17	investigated	investigate	VERB
easat-9787	446	18	more	more	ADV
easat-9787	446	19	deeply	deeply	ADV
easat-9787	446	20	as	as	ADP
easat-9787	446	21	a	a	DET
easat-9787	446	22	gauge	gauge	NOUN
easat-9787	446	23	of	of	ADP
easat-9787	446	24	test	test	NOUN
easat-9787	446	25	reliability	reliability	NOUN
easat-9787	446	26	under	under	ADP
easat-9787	446	27	actual	actual	ADJ
easat-9787	446	28	financial	financial	ADJ
easat-9787	446	29	environments	environment	NOUN
easat-9787	446	30	.	.	PUNCT
easat-9787	447	1	secondly	secondly	ADV
easat-9787	447	2	,	,	PUNCT
easat-9787	447	3	formulating	formulate	VERB
easat-9787	447	4	new	new	ADJ
easat-9787	447	5	or	or	CCONJ
easat-9787	447	6	aggregation	aggregation	NOUN
easat-9787	447	7	-	-	PUNCT
easat-9787	447	8	robust	robust	ADJ
easat-9787	447	9	versions	version	NOUN
easat-9787	447	10	of	of	ADP
easat-9787	447	11	the	the	DET
easat-9787	447	12	durbin	durbin	ADJ
easat-9787	447	13	-	-	PUNCT
easat-9787	447	14	watson	watson	NOUN
easat-9787	447	15	test	test	NOUN
easat-9787	447	16	could	could	AUX
easat-9787	447	17	be	be	AUX
easat-9787	447	18	a	a	DET
easat-9787	447	19	feasible	feasible	ADJ
easat-9787	447	20	tradeoff	tradeoff	NOUN
easat-9787	447	21	between	between	ADP
easat-9787	447	22	simplicity	simplicity	NOUN
easat-9787	447	23	and	and	CCONJ
easat-9787	447	24	accuracy	accuracy	NOUN
easat-9787	447	25	in	in	ADP
easat-9787	447	26	diagnostic	diagnostic	ADJ
easat-9787	447	27	performance	performance	NOUN
easat-9787	447	28	.	.	PUNCT
easat-9787	448	1	third	third	ADJ
easat-9787	448	2	,	,	PUNCT
easat-9787	448	3	examination	examination	NOUN
easat-9787	448	4	of	of	ADP
easat-9787	448	5	frequency	frequency	NOUN
easat-9787	448	6	-	-	PUNCT
easat-9787	448	7	domain	domain	NOUN
easat-9787	448	8	or	or	CCONJ
easat-9787	448	9	wavelet	wavelet	NOUN
easat-9787	448	10	-	-	PUNCT
easat-9787	448	11	based	base	VERB
easat-9787	448	12	techniques	technique	NOUN
easat-9787	448	13	might	might	AUX
easat-9787	448	14	yield	yield	VERB
easat-9787	448	15	more	more	ADV
easat-9787	448	16	reliable	reliable	ADJ
easat-9787	448	17	detection	detection	NOUN
easat-9787	448	18	of	of	ADP
easat-9787	448	19	autocorrelation	autocorrelation	NOUN
easat-9787	448	20	persisting	persist	VERB
easat-9787	448	21	over	over	ADP
easat-9787	448	22	temporal	temporal	ADJ
easat-9787	448	23	horizons	horizon	NOUN
easat-9787	448	24	.	.	PUNCT
easat-9787	449	1	finally	finally	ADV
easat-9787	449	2	,	,	PUNCT
easat-9787	449	3	other	other	ADJ
easat-9787	449	4	studies	study	NOUN
easat-9787	449	5	might	might	AUX
easat-9787	449	6	examine	examine	VERB
easat-9787	449	7	the	the	DET
easat-9787	449	8	impacts	impact	NOUN
easat-9787	449	9	of	of	ADP
easat-9787	449	10	temporal	temporal	ADJ
easat-9787	449	11	aggregation	aggregation	NOUN
easat-9787	449	12	on	on	ADP
easat-9787	449	13	other	other	ADJ
easat-9787	449	14	conventional	conventional	ADJ
easat-9787	449	15	diagnostics	diagnostic	NOUN
easat-9787	449	16	,	,	PUNCT
easat-9787	449	17	including	include	VERB
easat-9787	449	18	heteroskedasticity	heteroskedasticity	NOUN
easat-9787	449	19	tests	test	NOUN
easat-9787	449	20	,	,	PUNCT
easat-9787	449	21	cointegration	cointegration	NOUN
easat-9787	449	22	tests	test	NOUN
easat-9787	449	23	,	,	PUNCT
easat-9787	449	24	and	and	CCONJ
easat-9787	449	25	model	model	NOUN
easat-9787	449	26	selection	selection	NOUN
easat-9787	449	27	measures	measure	NOUN
easat-9787	449	28	.	.	PUNCT
easat-9787	450	1	in	in	ADP
easat-9787	450	2	summary	summary	NOUN
easat-9787	450	3	,	,	PUNCT
easat-9787	450	4	temporal	temporal	ADJ
easat-9787	450	5	aggregation	aggregation	NOUN
easat-9787	450	6	repeatedly	repeatedly	ADV
easat-9787	450	7	undermines	undermine	VERB
easat-9787	450	8	the	the	DET
easat-9787	450	9	assumption	assumption	NOUN
easat-9787	450	10	underlying	underlie	VERB
easat-9787	450	11	the	the	DET
easat-9787	450	12	durbinwatson	durbinwatson	NOUN
easat-9787	450	13	test	test	NOUN
easat-9787	450	14	for	for	ADP
easat-9787	450	15	reliability	reliability	NOUN
easat-9787	450	16	,	,	PUNCT
easat-9787	450	17	particularly	particularly	ADV
easat-9787	450	18	when	when	SCONJ
easat-9787	450	19	used	use	VERB
easat-9787	450	20	on	on	ADP
easat-9787	450	21	dynamic	dynamic	ADJ
easat-9787	450	22	data	datum	NOUN
easat-9787	450	23	structures	structure	NOUN
easat-9787	450	24	with	with	ADP
easat-9787	450	25	latent	latent	NOUN
easat-9787	450	26	or	or	CCONJ
easat-9787	450	27	moderate	moderate	ADJ
easat-9787	450	28	autocorrelation	autocorrelation	NOUN
easat-9787	450	29	.	.	PUNCT
easat-9787	451	1	to	to	PART
easat-9787	451	2	recognize	recognize	VERB
easat-9787	451	3	and	and	CCONJ
easat-9787	451	4	remedy	remedy	VERB
easat-9787	451	5	this	this	DET
easat-9787	451	6	diagnostic	diagnostic	ADJ
easat-9787	451	7	shortcoming	shortcoming	NOUN
easat-9787	451	8	is	be	AUX
easat-9787	451	9	essential	essential	ADJ
easat-9787	451	10	to	to	ADP
easat-9787	451	11	good	good	ADJ
easat-9787	451	12	econometric	econometric	ADJ
easat-9787	451	13	modeling	modeling	NOUN
easat-9787	451	14	.	.	PUNCT
easat-9787	452	1	researchers	researcher	NOUN
easat-9787	452	2	and	and	CCONJ
easat-9787	452	3	practitioners	practitioner	NOUN
easat-9787	452	4	must	must	AUX
easat-9787	452	5	include	include	VERB
easat-9787	452	6	aggregation	aggregation	NOUN
easat-9787	452	7	effects	effect	NOUN
easat-9787	452	8	in	in	ADP
easat-9787	452	9	their	their	PRON
easat-9787	452	10	inference	inference	NOUN
easat-9787	452	11	procedures	procedure	NOUN
easat-9787	452	12	or	or	CCONJ
easat-9787	452	13	risk	risk	NOUN
easat-9787	452	14	making	make	VERB
easat-9787	452	15	erroneous	erroneous	ADJ
easat-9787	452	16	inferences	inference	NOUN
easat-9787	452	17	from	from	ADP
easat-9787	452	18	seemingly	seemingly	ADV
easat-9787	452	19	well	well	ADV
easat-9787	452	20	-	-	PUNCT
easat-9787	452	21	behaved	behave	VERB
easat-9787	452	22	residuals	residual	NOUN
easat-9787	452	23	.	.	PUNCT
easat-9787	453	1	transparency	transparency	NOUN
easat-9787	453	2	:	:	PUNCT
easat-9787	453	3	the	the	DET
easat-9787	453	4	author	author	NOUN
easat-9787	453	5	confirms	confirm	VERB
easat-9787	453	6	that	that	SCONJ
easat-9787	453	7	the	the	DET
easat-9787	453	8	manuscript	manuscript	NOUN
easat-9787	453	9	is	be	AUX
easat-9787	453	10	an	an	DET
easat-9787	453	11	honest	honest	ADJ
easat-9787	453	12	,	,	PUNCT
easat-9787	453	13	accurate	accurate	ADJ
easat-9787	453	14	,	,	PUNCT
easat-9787	453	15	and	and	CCONJ
easat-9787	453	16	transparent	transparent	ADJ
easat-9787	453	17	account	account	NOUN
easat-9787	453	18	of	of	ADP
easat-9787	453	19	the	the	DET
easat-9787	453	20	study	study	NOUN
easat-9787	453	21	;	;	PUNCT
easat-9787	453	22	that	that	SCONJ
easat-9787	453	23	no	no	DET
easat-9787	453	24	vital	vital	ADJ
easat-9787	453	25	features	feature	NOUN
easat-9787	453	26	of	of	ADP
easat-9787	453	27	the	the	DET
easat-9787	453	28	study	study	NOUN
easat-9787	453	29	have	have	AUX
easat-9787	453	30	been	be	AUX
easat-9787	453	31	omitted	omit	VERB
easat-9787	453	32	;	;	PUNCT
easat-9787	453	33	and	and	CCONJ
easat-9787	453	34	that	that	SCONJ
easat-9787	453	35	any	any	DET
easat-9787	453	36	discrepancies	discrepancy	NOUN
easat-9787	453	37	from	from	ADP
easat-9787	453	38	the	the	DET
easat-9787	453	39	study	study	NOUN
easat-9787	453	40	as	as	SCONJ
easat-9787	453	41	planned	plan	VERB
easat-9787	453	42	have	have	AUX
easat-9787	453	43	been	be	AUX
easat-9787	453	44	explained	explain	VERB
easat-9787	453	45	.	.	PUNCT
easat-9787	454	1	this	this	DET
easat-9787	454	2	study	study	NOUN
easat-9787	454	3	followed	follow	VERB
easat-9787	454	4	all	all	DET
easat-9787	454	5	ethical	ethical	ADJ
easat-9787	454	6	practices	practice	NOUN
easat-9787	454	7	during	during	ADP
easat-9787	454	8	writing	writing	NOUN
easat-9787	454	9	.	.	PUNCT
easat-9787	455	1	copyright	copyright	NOUN
easat-9787	455	2	:	:	PUNCT
easat-9787	455	3	©	©	PROPN
easat-9787	455	4	2025	2025	NUM
easat-9787	455	5	by	by	ADP
easat-9787	455	6	the	the	DET
easat-9787	455	7	author	author	NOUN
easat-9787	455	8	.	.	PUNCT
easat-9787	456	1	this	this	DET
easat-9787	456	2	open	open	ADJ
easat-9787	456	3	-	-	PUNCT
easat-9787	456	4	access	access	NOUN
easat-9787	456	5	article	article	NOUN
easat-9787	456	6	is	be	AUX
easat-9787	456	7	distributed	distribute	VERB
easat-9787	456	8	under	under	ADP
easat-9787	456	9	the	the	DET
easat-9787	456	10	terms	term	NOUN
easat-9787	456	11	and	and	CCONJ
easat-9787	456	12	conditions	condition	NOUN
easat-9787	456	13	of	of	ADP
easat-9787	456	14	the	the	DET
easat-9787	456	15	creative	creative	ADJ
easat-9787	456	16	commons	common	NOUN
easat-9787	456	17	attribution	attribution	NOUN
easat-9787	456	18	(	(	PUNCT
easat-9787	456	19	cc	cc	NOUN
easat-9787	456	20	by	by	ADP
easat-9787	456	21	)	)	PUNCT
easat-9787	456	22	license	license	NOUN
easat-9787	456	23	(	(	PUNCT
easat-9787	456	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	NOUN
easat-9787	456	25	)	)	PUNCT
easat-9787	456	26	references	reference	NOUN
easat-9787	457	1	[	[	X
easat-9787	457	2	1	1	NUM
easat-9787	457	3	]	]	PUNCT
easat-9787	457	4	j.	j.	PROPN
easat-9787	457	5	durbin	durbin	PROPN
easat-9787	457	6	and	and	CCONJ
easat-9787	457	7	g.	g.	PROPN
easat-9787	457	8	s.	s.	PROPN
easat-9787	457	9	watson	watson	PROPN
easat-9787	457	10	,	,	PUNCT
easat-9787	457	11	"	"	PUNCT
easat-9787	457	12	testing	test	VERB
easat-9787	457	13	for	for	ADP
easat-9787	457	14	serial	serial	ADJ
easat-9787	457	15	correlation	correlation	NOUN
easat-9787	457	16	in	in	ADP
easat-9787	457	17	least	least	ADJ
easat-9787	457	18	squares	square	NOUN
easat-9787	457	19	regression	regression	NOUN
easat-9787	457	20	:	:	PUNCT
easat-9787	457	21	i	i	PRON
easat-9787	457	22	,	,	PUNCT
easat-9787	457	23	"	"	PUNCT
easat-9787	457	24	biometrika	biometrika	NOUN
easat-9787	457	25	,	,	PUNCT
easat-9787	457	26	vol	vol	NOUN
easat-9787	457	27	.	.	PROPN
easat-9787	458	1	37	37	NUM
easat-9787	458	2	,	,	PUNCT
easat-9787	458	3	no	no	INTJ
easat-9787	458	4	.	.	NOUN
easat-9787	459	1	3/4	3/4	NUM
easat-9787	459	2	,	,	PUNCT
easat-9787	459	3	pp	pp	ADP
easat-9787	459	4	.	.	PUNCT
easat-9787	460	1	409	409	NUM
easat-9787	460	2	-	-	SYM
easat-9787	460	3	428	428	NUM
easat-9787	460	4	,	,	PUNCT
easat-9787	460	5	1950	1950	NUM
easat-9787	460	6	.	.	PUNCT
easat-9787	461	1	https://doi.org/10.2307/2332391	https://doi.org/10.2307/2332391	PRON
easat-9787	462	1	[	[	X
easat-9787	462	2	2	2	NUM
easat-9787	462	3	]	]	PUNCT
easat-9787	462	4	j.	j.	PROPN
easat-9787	462	5	durbin	durbin	PROPN
easat-9787	462	6	and	and	CCONJ
easat-9787	462	7	g.	g.	PROPN
easat-9787	462	8	s.	s.	PROPN
easat-9787	462	9	watson	watson	PROPN
easat-9787	462	10	,	,	PUNCT
easat-9787	462	11	"	"	PUNCT
easat-9787	462	12	testing	test	VERB
easat-9787	462	13	for	for	ADP
easat-9787	462	14	serial	serial	ADJ
easat-9787	462	15	correlation	correlation	NOUN
easat-9787	462	16	in	in	ADP
easat-9787	462	17	least	least	ADJ
easat-9787	462	18	squares	square	NOUN
easat-9787	462	19	regression	regression	NOUN
easat-9787	462	20	.	.	PUNCT
easat-9787	463	1	ii	ii	PROPN
easat-9787	463	2	,	,	PUNCT
easat-9787	463	3	"	"	PUNCT
easat-9787	463	4	biometrika	biometrika	NOUN
easat-9787	463	5	,	,	PUNCT
easat-9787	463	6	vol	vol	NOUN
easat-9787	463	7	.	.	PROPN
easat-9787	464	1	38	38	NUM
easat-9787	464	2	,	,	PUNCT
easat-9787	464	3	no	no	INTJ
easat-9787	464	4	.	.	NOUN
easat-9787	464	5	1/2	1/2	NUM
easat-9787	464	6	,	,	PUNCT
easat-9787	464	7	pp	pp	ADJ
easat-9787	464	8	.	.	PUNCT
easat-9787	465	1	159	159	NUM
easat-9787	465	2	-	-	SYM
easat-9787	465	3	177	177	NUM
easat-9787	465	4	,	,	PUNCT
easat-9787	465	5	1951	1951	NUM
easat-9787	465	6	.	.	PUNCT
easat-9787	466	1	https://doi.org/10.2307/2332325	https://doi.org/10.2307/2332325	X
easat-9787	467	1	[	[	X
easat-9787	467	2	3	3	NUM
easat-9787	467	3	]	]	X
easat-9787	467	4	c.	c.	PROPN
easat-9787	467	5	w.	w.	PROPN
easat-9787	467	6	j.	j.	PROPN
easat-9787	467	7	granger	granger	PROPN
easat-9787	467	8	,	,	PUNCT
easat-9787	467	9	"	"	PUNCT
easat-9787	467	10	long	long	ADJ
easat-9787	467	11	memory	memory	NOUN
easat-9787	467	12	relationships	relationship	NOUN
easat-9787	467	13	and	and	CCONJ
easat-9787	467	14	the	the	DET
easat-9787	467	15	aggregation	aggregation	NOUN
easat-9787	467	16	of	of	ADP
easat-9787	467	17	dynamic	dynamic	ADJ
easat-9787	467	18	models	model	NOUN
easat-9787	467	19	,	,	PUNCT
easat-9787	467	20	"	"	PUNCT
easat-9787	467	21	journal	journal	NOUN
easat-9787	467	22	of	of	ADP
easat-9787	467	23	econometrics	econometric	NOUN
easat-9787	467	24	,	,	PUNCT
easat-9787	467	25	vol	vol	NOUN
easat-9787	467	26	.	.	PROPN
easat-9787	468	1	14	14	NUM
easat-9787	468	2	,	,	PUNCT
easat-9787	468	3	no	no	INTJ
easat-9787	468	4	.	.	NOUN
easat-9787	468	5	2	2	NUM
easat-9787	468	6	,	,	PUNCT
easat-9787	468	7	pp	pp	ADJ
easat-9787	468	8	.	.	PUNCT
easat-9787	469	1	227	227	NUM
easat-9787	469	2	-	-	SYM
easat-9787	469	3	238	238	NUM
easat-9787	469	4	,	,	PUNCT
easat-9787	469	5	1980	1980	NUM
easat-9787	469	6	.	.	PUNCT
easat-9787	470	1	https://doi.org/10.1016/0304-4076(80)90092-5	https://doi.org/10.1016/0304-4076(80)90092-5	PROPN
easat-9787	470	2	[	[	X
easat-9787	470	3	4	4	NUM
easat-9787	470	4	]	]	X
easat-9787	470	5	g.	g.	PROPN
easat-9787	470	6	c.	c.	PROPN
easat-9787	470	7	tiao	tiao	PROPN
easat-9787	470	8	and	and	CCONJ
easat-9787	470	9	w.	w.	PROPN
easat-9787	470	10	s.	s.	PROPN
easat-9787	470	11	wei	wei	PROPN
easat-9787	470	12	,	,	PUNCT
easat-9787	470	13	"	"	PUNCT
easat-9787	470	14	effect	effect	NOUN
easat-9787	470	15	of	of	ADP
easat-9787	470	16	temporal	temporal	ADJ
easat-9787	470	17	aggregation	aggregation	NOUN
easat-9787	470	18	on	on	ADP
easat-9787	470	19	the	the	DET
easat-9787	470	20	dynamic	dynamic	ADJ
easat-9787	470	21	relationship	relationship	NOUN
easat-9787	470	22	of	of	ADP
easat-9787	470	23	two	two	NUM
easat-9787	470	24	time	time	NOUN
easat-9787	470	25	series	series	NOUN
easat-9787	470	26	variables	variable	NOUN
easat-9787	470	27	,	,	PUNCT
easat-9787	470	28	"	"	PUNCT
easat-9787	470	29	biometrika	biometrika	NOUN
easat-9787	470	30	,	,	PUNCT
easat-9787	470	31	vol	vol	NOUN
easat-9787	470	32	.	.	PROPN
easat-9787	470	33	63	63	NUM
easat-9787	470	34	,	,	PUNCT
easat-9787	470	35	no	no	INTJ
easat-9787	470	36	.	.	NOUN
easat-9787	470	37	3	3	NUM
easat-9787	470	38	,	,	PUNCT
easat-9787	470	39	pp	pp	ADJ
easat-9787	470	40	.	.	PUNCT
easat-9787	471	1	513	513	NUM
easat-9787	471	2	-	-	SYM
easat-9787	471	3	523	523	NUM
easat-9787	471	4	,	,	PUNCT
easat-9787	471	5	1976	1976	NUM
easat-9787	471	6	.	.	PUNCT
easat-9787	472	1	https://doi.org/10.1093/biomet/63.3.513	https://doi.org/10.1093/biomet/63.3.513	NUM
easat-9787	472	2	[	[	X
easat-9787	472	3	5	5	NUM
easat-9787	472	4	]	]	PUNCT
easat-9787	472	5	m.	m.	NOUN
easat-9787	472	6	marcellino	marcellino	PROPN
easat-9787	472	7	,	,	PUNCT
easat-9787	472	8	"	"	PUNCT
easat-9787	472	9	some	some	DET
easat-9787	472	10	consequences	consequence	NOUN
easat-9787	472	11	of	of	ADP
easat-9787	472	12	temporal	temporal	ADJ
easat-9787	472	13	aggregation	aggregation	NOUN
easat-9787	472	14	in	in	ADP
easat-9787	472	15	macroeconomic	macroeconomic	ADJ
easat-9787	472	16	models	model	NOUN
easat-9787	472	17	,	,	PUNCT
easat-9787	472	18	"	"	PUNCT
easat-9787	472	19	economics	economic	NOUN
easat-9787	472	20	letters	letter	NOUN
easat-9787	472	21	,	,	PUNCT
easat-9787	472	22	vol	vol	NOUN
easat-9787	472	23	.	.	PROPN
easat-9787	472	24	64	64	NUM
easat-9787	472	25	,	,	PUNCT
easat-9787	472	26	no	no	INTJ
easat-9787	472	27	.	.	NOUN
easat-9787	472	28	3	3	NUM
easat-9787	472	29	,	,	PUNCT
easat-9787	472	30	pp	pp	ADJ
easat-9787	472	31	.	.	PUNCT
easat-9787	473	1	359–363	359–363	NUM
easat-9787	473	2	,	,	PUNCT
easat-9787	473	3	1999	1999	NUM
easat-9787	473	4	.	.	PUNCT
easat-9787	474	1	[	[	X
easat-9787	474	2	6	6	NUM
easat-9787	474	3	]	]	PUNCT
easat-9787	474	4	e.	e.	PROPN
easat-9787	474	5	ghysels	ghysels	PROPN
easat-9787	474	6	,	,	PUNCT
easat-9787	474	7	"	"	PUNCT
easat-9787	474	8	on	on	ADP
easat-9787	474	9	stable	stable	ADJ
easat-9787	474	10	factor	factor	NOUN
easat-9787	474	11	structures	structure	NOUN
easat-9787	474	12	and	and	CCONJ
easat-9787	474	13	their	their	PRON
easat-9787	474	14	economic	economic	ADJ
easat-9787	474	15	interpretation	interpretation	NOUN
easat-9787	474	16	,	,	PUNCT
easat-9787	474	17	"	"	PUNCT
easat-9787	474	18	journal	journal	NOUN
easat-9787	474	19	of	of	ADP
easat-9787	474	20	multivariate	multivariate	NOUN
easat-9787	474	21	analysis	analysis	NOUN
easat-9787	474	22	,	,	PUNCT
easat-9787	474	23	vol	vol	NOUN
easat-9787	474	24	.	.	PROPN
easat-9787	475	1	65	65	NUM
easat-9787	475	2	,	,	PUNCT
easat-9787	475	3	no	no	INTJ
easat-9787	475	4	.	.	NOUN
easat-9787	475	5	2	2	NUM
easat-9787	475	6	,	,	PUNCT
easat-9787	475	7	pp	pp	ADJ
easat-9787	475	8	.	.	PUNCT
easat-9787	476	1	139–157	139–157	NUM
easat-9787	476	2	,	,	PUNCT
easat-9787	476	3	1998	1998	NUM
easat-9787	476	4	.	.	PUNCT
easat-9787	477	1	[	[	X
easat-9787	477	2	7	7	X
easat-9787	477	3	]	]	PUNCT
easat-9787	477	4	l.	l.	PROPN
easat-9787	477	5	j.	j.	PROPN
easat-9787	477	6	christiano	christiano	PROPN
easat-9787	477	7	and	and	CCONJ
easat-9787	477	8	m.	m.	PROPN
easat-9787	477	9	eichenbaum	eichenbaum	PROPN
easat-9787	477	10	,	,	PUNCT
easat-9787	477	11	"	"	PUNCT
easat-9787	477	12	temporal	temporal	ADJ
easat-9787	477	13	aggregation	aggregation	NOUN
easat-9787	477	14	and	and	CCONJ
easat-9787	477	15	structural	structural	ADJ
easat-9787	477	16	inference	inference	NOUN
easat-9787	477	17	in	in	ADP
easat-9787	477	18	macroeconomics	macroeconomic	NOUN
easat-9787	477	19	,	,	PUNCT
easat-9787	477	20	"	"	PUNCT
easat-9787	477	21	carnegierochester	carnegierochester	NOUN
easat-9787	477	22	conference	conference	NOUN
easat-9787	477	23	series	series	NOUN
easat-9787	477	24	on	on	ADP
easat-9787	477	25	public	public	ADJ
easat-9787	477	26	policy	policy	NOUN
easat-9787	477	27	,	,	PUNCT
easat-9787	477	28	vol	vol	NOUN
easat-9787	477	29	.	.	PROPN
easat-9787	477	30	26	26	NUM
easat-9787	477	31	,	,	PUNCT
easat-9787	477	32	pp	pp	ADJ
easat-9787	477	33	.	.	PUNCT
easat-9787	478	1	63–130	63–130	NUM
easat-9787	478	2	,	,	PUNCT
easat-9787	478	3	1987	1987	NUM
easat-9787	478	4	.	.	PUNCT
easat-9787	479	1	[	[	X
easat-9787	479	2	8	8	NUM
easat-9787	479	3	]	]	X
easat-9787	479	4	y.	y.	PROPN
easat-9787	479	5	chang	chang	PROPN
easat-9787	479	6	and	and	CCONJ
easat-9787	479	7	j.	j.	PROPN
easat-9787	479	8	y.	y.	PROPN
easat-9787	479	9	park	park	PROPN
easat-9787	479	10	,	,	PUNCT
easat-9787	479	11	"	"	PUNCT
easat-9787	479	12	a	a	DET
easat-9787	479	13	sieve	sieve	NOUN
easat-9787	479	14	bootstrap	bootstrap	NOUN
easat-9787	479	15	for	for	ADP
easat-9787	479	16	the	the	DET
easat-9787	479	17	test	test	NOUN
easat-9787	479	18	of	of	ADP
easat-9787	479	19	a	a	DET
easat-9787	479	20	unit	unit	NOUN
easat-9787	479	21	root	root	NOUN
easat-9787	479	22	,	,	PUNCT
easat-9787	479	23	"	"	PUNCT
easat-9787	479	24	journal	journal	NOUN
easat-9787	479	25	of	of	ADP
easat-9787	479	26	time	time	NOUN
easat-9787	479	27	series	series	PROPN
easat-9787	479	28	analysis	analysis	NOUN
easat-9787	479	29	,	,	PUNCT
easat-9787	479	30	vol	vol	NOUN
easat-9787	479	31	.	.	PROPN
easat-9787	480	1	24	24	NUM
easat-9787	480	2	,	,	PUNCT
easat-9787	480	3	no	no	INTJ
easat-9787	480	4	.	.	NOUN
easat-9787	480	5	4	4	NUM
easat-9787	480	6	,	,	PUNCT
easat-9787	480	7	pp	pp	ADJ
easat-9787	480	8	.	.	PUNCT
easat-9787	481	1	379	379	NUM
easat-9787	481	2	-	-	SYM
easat-9787	481	3	400	400	NUM
easat-9787	481	4	,	,	PUNCT
easat-9787	481	5	2003	2003	NUM
easat-9787	481	6	.	.	PUNCT
easat-9787	482	1	https://doi.org/10.1111/1467-9892.00312	https://doi.org/10.1111/1467-9892.00312	PROPN
easat-9787	482	2	[	[	X
easat-9787	482	3	9	9	NUM
easat-9787	482	4	]	]	X
easat-9787	482	5	c.	c.	NOUN
easat-9787	482	6	amado	amado	NOUN
easat-9787	482	7	and	and	CCONJ
easat-9787	482	8	t.	t.	PROPN
easat-9787	482	9	teräsvirta	teräsvirta	PROPN
easat-9787	482	10	,	,	PUNCT
easat-9787	482	11	"	"	PUNCT
easat-9787	482	12	modelling	model	VERB
easat-9787	482	13	volatility	volatility	NOUN
easat-9787	482	14	by	by	ADP
easat-9787	482	15	variance	variance	NOUN
easat-9787	482	16	decomposition	decomposition	NOUN
easat-9787	482	17	,	,	PUNCT
easat-9787	482	18	"	"	PUNCT
easat-9787	482	19	journal	journal	NOUN
easat-9787	482	20	of	of	ADP
easat-9787	482	21	econometrics	econometric	NOUN
easat-9787	482	22	,	,	PUNCT
easat-9787	482	23	vol	vol	NOUN
easat-9787	482	24	.	.	PROPN
easat-9787	482	25	175	175	NUM
easat-9787	482	26	,	,	PUNCT
easat-9787	482	27	no	no	INTJ
easat-9787	482	28	.	.	NOUN
easat-9787	482	29	2	2	NUM
easat-9787	482	30	,	,	PUNCT
easat-9787	482	31	pp	pp	ADJ
easat-9787	482	32	.	.	PUNCT
easat-9787	483	1	142	142	NUM
easat-9787	483	2	-	-	SYM
easat-9787	483	3	153	153	NUM
easat-9787	483	4	,	,	PUNCT
easat-9787	483	5	2013	2013	NUM
easat-9787	483	6	.	.	PUNCT
easat-9787	484	1	https://doi.org/10.1016/j.jeconom.2013.03.006	https://doi.org/10.1016/j.jeconom.2013.03.006	PROPN
easat-9787	484	2	[	[	X
easat-9787	484	3	10	10	NUM
easat-9787	484	4	]	]	PUNCT
easat-9787	484	5	a.	a.	NOUN
easat-9787	484	6	w.	w.	PROPN
easat-9787	484	7	lo	lo	PROPN
easat-9787	484	8	and	and	CCONJ
easat-9787	484	9	a.	a.	PROPN
easat-9787	484	10	craig	craig	PROPN
easat-9787	484	11	mackinlay	mackinlay	PROPN
easat-9787	484	12	,	,	PUNCT
easat-9787	484	13	"	"	PUNCT
easat-9787	484	14	an	an	DET
easat-9787	484	15	econometric	econometric	ADJ
easat-9787	484	16	analysis	analysis	NOUN
easat-9787	484	17	of	of	ADP
easat-9787	484	18	nonsynchronous	nonsynchronous	ADJ
easat-9787	484	19	trading	trading	NOUN
easat-9787	484	20	,	,	PUNCT
easat-9787	484	21	"	"	PUNCT
easat-9787	484	22	journal	journal	NOUN
easat-9787	484	23	of	of	ADP
easat-9787	484	24	econometrics	econometric	NOUN
easat-9787	484	25	,	,	PUNCT
easat-9787	484	26	vol	vol	NOUN
easat-9787	484	27	.	.	PROPN
easat-9787	485	1	45	45	NUM
easat-9787	485	2	,	,	PUNCT
easat-9787	485	3	no	no	INTJ
easat-9787	485	4	.	.	NOUN
easat-9787	485	5	1	1	NUM
easat-9787	485	6	,	,	PUNCT
easat-9787	485	7	pp	pp	ADJ
easat-9787	485	8	.	.	PUNCT
easat-9787	486	1	181	181	NUM
easat-9787	486	2	-	-	SYM
easat-9787	486	3	211	211	NUM
easat-9787	486	4	,	,	PUNCT
easat-9787	486	5	1990	1990	NUM
easat-9787	486	6	.	.	PUNCT
easat-9787	487	1	https://doi.org/10.1016/0304-4076(90)90098-e	https://doi.org/10.1016/0304-4076(90)90098-e	NOUN
easat-9787	487	2	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-9787	487	3	https://doi.org/10.2307/2332391	https://doi.org/10.2307/2332391	PROPN
easat-9787	487	4	https://doi.org/10.2307/2332325	https://doi.org/10.2307/2332325	PROPN
easat-9787	487	5	https://doi.org/10.1016/0304-4076(80)90092-5	https://doi.org/10.1016/0304-4076(80)90092-5	PROPN
easat-9787	487	6	https://doi.org/10.1093/biomet/63.3.513	https://doi.org/10.1093/biomet/63.3.513	PROPN
easat-9787	487	7	https://doi.org/10.1111/1467-9892.00312	https://doi.org/10.1111/1467-9892.00312	PROPN
easat-9787	487	8	https://doi.org/10.1016/j.jeconom.2013.03.006	https://doi.org/10.1016/j.jeconom.2013.03.006	PROPN
easat-9787	487	9	https://doi.org/10.1016/0304-4076(90)90098-e	https://doi.org/10.1016/0304-4076(90)90098-e	NOUN
easat-9787	487	10	244	244	NUM
easat-9787	487	11	edelweiss	edelweiss	PROPN
easat-9787	487	12	applied	apply	VERB
easat-9787	487	13	science	science	NOUN
easat-9787	487	14	and	and	CCONJ
easat-9787	487	15	technology	technology	NOUN
easat-9787	487	16	issn	issn	PROPN
easat-9787	487	17	:	:	PUNCT
easat-9787	487	18	2576	2576	NUM
easat-9787	487	19	-	-	SYM
easat-9787	487	20	8484	8484	NUM
easat-9787	487	21	vol	vol	NOUN
easat-9787	487	22	.	.	PROPN
easat-9787	488	1	9	9	NUM
easat-9787	488	2	,	,	PUNCT
easat-9787	488	3	no	no	INTJ
easat-9787	488	4	.	.	NOUN
easat-9787	488	5	9	9	NUM
easat-9787	488	6	:	:	SYM
easat-9787	488	7	226	226	NUM
easat-9787	488	8	-	-	SYM
easat-9787	488	9	244	244	NUM
easat-9787	488	10	,	,	PUNCT
easat-9787	488	11	2025	2025	NUM
easat-9787	488	12	doi	doi	NOUN
easat-9787	488	13	:	:	PUNCT
easat-9787	488	14	10.55214/2576	10.55214/2576	NUM
easat-9787	488	15	-	-	PUNCT
easat-9787	488	16	8484.v9i9.9787	8484.v9i9.9787	NUM
easat-9787	488	17	©	©	PROPN
easat-9787	488	18	2025	2025	NUM
easat-9787	488	19	by	by	ADP
easat-9787	488	20	the	the	DET
easat-9787	488	21	author	author	NOUN
easat-9787	488	22	;	;	PUNCT
easat-9787	488	23	licensee	licensee	PROPN
easat-9787	488	24	learning	learning	NOUN
easat-9787	488	25	gate	gate	NOUN
easat-9787	489	1	[	[	X
easat-9787	489	2	11	11	NUM
easat-9787	489	3	]	]	PUNCT
easat-9787	489	4	t.	t.	NOUN
easat-9787	489	5	amemiya	amemiya	PROPN
easat-9787	489	6	and	and	CCONJ
easat-9787	489	7	r.	r.	PROPN
easat-9787	489	8	y.	y.	PROPN
easat-9787	489	9	wu	wu	PROPN
easat-9787	489	10	,	,	PUNCT
easat-9787	489	11	"	"	PUNCT
easat-9787	489	12	the	the	DET
easat-9787	489	13	effect	effect	NOUN
easat-9787	489	14	of	of	ADP
easat-9787	489	15	aggregation	aggregation	NOUN
easat-9787	489	16	on	on	ADP
easat-9787	489	17	prediction	prediction	NOUN
easat-9787	489	18	in	in	ADP
easat-9787	489	19	the	the	DET
easat-9787	489	20	autoregressive	autoregressive	ADJ
easat-9787	489	21	model	model	NOUN
easat-9787	489	22	,	,	PUNCT
easat-9787	489	23	"	"	PUNCT
easat-9787	489	24	journal	journal	NOUN
easat-9787	489	25	of	of	ADP
easat-9787	489	26	the	the	DET
easat-9787	489	27	american	american	PROPN
easat-9787	489	28	statistical	statistical	PROPN
easat-9787	489	29	association	association	PROPN
easat-9787	489	30	,	,	PUNCT
easat-9787	489	31	vol	vol	NOUN
easat-9787	489	32	.	.	PROPN
easat-9787	489	33	67	67	NUM
easat-9787	489	34	,	,	PUNCT
easat-9787	489	35	no	no	INTJ
easat-9787	489	36	.	.	NOUN
easat-9787	489	37	339	339	NUM
easat-9787	489	38	,	,	PUNCT
easat-9787	489	39	pp	pp	ADJ
easat-9787	489	40	.	.	PUNCT
easat-9787	490	1	628	628	NUM
easat-9787	490	2	-	-	SYM
easat-9787	490	3	632	632	NUM
easat-9787	490	4	,	,	PUNCT
easat-9787	490	5	1972	1972	NUM
easat-9787	490	6	.	.	PUNCT
easat-9787	491	1	https://doi.org/10.1080/01621459.1972.10481264	https://doi.org/10.1080/01621459.1972.10481264	PUNCT
easat-9787	492	1	[	[	X
easat-9787	492	2	12	12	NUM
easat-9787	492	3	]	]	PUNCT
easat-9787	492	4	j.	j.	PROPN
easat-9787	492	5	h.	h.	PROPN
easat-9787	492	6	stock	stock	PROPN
easat-9787	492	7	and	and	CCONJ
easat-9787	492	8	m.	m.	PROPN
easat-9787	492	9	w.	w.	PROPN
easat-9787	492	10	watson	watson	PROPN
easat-9787	492	11	,	,	PUNCT
easat-9787	492	12	"	"	PUNCT
easat-9787	492	13	macroeconomic	macroeconomic	ADJ
easat-9787	492	14	forecasting	forecasting	NOUN
easat-9787	492	15	using	use	VERB
easat-9787	492	16	diffusion	diffusion	NOUN
easat-9787	492	17	indexes	index	NOUN
easat-9787	492	18	,	,	PUNCT
easat-9787	492	19	"	"	PUNCT
easat-9787	492	20	journal	journal	NOUN
easat-9787	492	21	of	of	ADP
easat-9787	492	22	business	business	PROPN
easat-9787	492	23	&	&	CCONJ
easat-9787	492	24	economic	economic	ADJ
easat-9787	492	25	statistics	statistic	NOUN
easat-9787	492	26	,	,	PUNCT
easat-9787	492	27	vol	vol	NOUN
easat-9787	492	28	.	.	PROPN
easat-9787	492	29	20	20	NUM
easat-9787	492	30	,	,	PUNCT
easat-9787	492	31	no	no	INTJ
easat-9787	492	32	.	.	NOUN
easat-9787	492	33	2	2	NUM
easat-9787	492	34	,	,	PUNCT
easat-9787	492	35	pp	pp	ADJ
easat-9787	492	36	.	.	PUNCT
easat-9787	493	1	147	147	NUM
easat-9787	493	2	-	-	SYM
easat-9787	493	3	162	162	NUM
easat-9787	493	4	,	,	PUNCT
easat-9787	493	5	2002	2002	NUM
easat-9787	493	6	.	.	PUNCT
easat-9787	494	1	https://doi.org/10.1198/073500102317351921	https://doi.org/10.1198/073500102317351921	X
easat-9787	495	1	[	[	X
easat-9787	495	2	13	13	NUM
easat-9787	495	3	]	]	X
easat-9787	495	4	c.	c.	PROPN
easat-9787	495	5	w.	w.	PROPN
easat-9787	495	6	j.	j.	PROPN
easat-9787	495	7	granger	granger	PROPN
easat-9787	495	8	and	and	CCONJ
easat-9787	495	9	m.	m.	PROPN
easat-9787	495	10	j.	j.	PROPN
easat-9787	495	11	morris	morris	PROPN
easat-9787	495	12	,	,	PUNCT
easat-9787	495	13	"	"	PUNCT
easat-9787	495	14	time	time	NOUN
easat-9787	495	15	series	series	NOUN
easat-9787	495	16	modelling	modelling	NOUN
easat-9787	495	17	and	and	CCONJ
easat-9787	495	18	interpretation	interpretation	NOUN
easat-9787	495	19	,	,	PUNCT
easat-9787	495	20	"	"	PUNCT
easat-9787	495	21	journal	journal	NOUN
easat-9787	495	22	of	of	ADP
easat-9787	495	23	the	the	DET
easat-9787	495	24	royal	royal	ADJ
easat-9787	495	25	statistical	statistical	ADJ
easat-9787	495	26	society	society	NOUN
easat-9787	495	27	:	:	PUNCT
easat-9787	495	28	series	series	PROPN
easat-9787	495	29	a	a	PRON
easat-9787	495	30	(	(	PUNCT
easat-9787	495	31	general	general	ADJ
easat-9787	495	32	)	)	PUNCT
easat-9787	495	33	,	,	PUNCT
easat-9787	495	34	vol	vol	NOUN
easat-9787	495	35	.	.	PROPN
easat-9787	495	36	139	139	NUM
easat-9787	495	37	,	,	PUNCT
easat-9787	495	38	no	no	INTJ
easat-9787	495	39	.	.	NOUN
easat-9787	495	40	2	2	NUM
easat-9787	495	41	,	,	PUNCT
easat-9787	495	42	pp	pp	ADJ
easat-9787	495	43	.	.	PUNCT
easat-9787	496	1	246–257	246–257	NOUN
easat-9787	496	2	,	,	PUNCT
easat-9787	496	3	1976	1976	NUM
easat-9787	496	4	.	.	PUNCT
easat-9787	497	1	[	[	X
easat-9787	497	2	14	14	NUM
easat-9787	497	3	]	]	X
easat-9787	497	4	w.	w.	PROPN
easat-9787	497	5	a.	a.	PROPN
easat-9787	497	6	barnett	barnett	PROPN
easat-9787	497	7	,	,	PUNCT
easat-9787	497	8	"	"	PUNCT
easat-9787	497	9	the	the	DET
easat-9787	497	10	conundrum	conundrum	NOUN
easat-9787	497	11	of	of	ADP
easat-9787	497	12	weak	weak	ADJ
easat-9787	497	13	instruments	instrument	NOUN
easat-9787	497	14	and	and	CCONJ
easat-9787	497	15	weak	weak	ADJ
easat-9787	497	16	identification	identification	NOUN
easat-9787	497	17	in	in	ADP
easat-9787	497	18	gmm	gmm	NOUN
easat-9787	497	19	,	,	PUNCT
easat-9787	497	20	"	"	PUNCT
easat-9787	497	21	journal	journal	NOUN
easat-9787	497	22	of	of	ADP
easat-9787	497	23	economic	economic	ADJ
easat-9787	497	24	methodology	methodology	NOUN
easat-9787	497	25	,	,	PUNCT
easat-9787	497	26	vol	vol	NOUN
easat-9787	497	27	.	.	PROPN
easat-9787	497	28	13	13	NUM
easat-9787	497	29	,	,	PUNCT
easat-9787	497	30	no	no	INTJ
easat-9787	497	31	.	.	NOUN
easat-9787	497	32	3	3	NUM
easat-9787	497	33	,	,	PUNCT
easat-9787	497	34	pp	pp	ADJ
easat-9787	497	35	.	.	PUNCT
easat-9787	498	1	329–361	329–361	NUM
easat-9787	498	2	,	,	PUNCT
easat-9787	498	3	2006	2006	NUM
easat-9787	498	4	.	.	PUNCT
easat-9787	499	1	[	[	X
easat-9787	499	2	15	15	NUM
easat-9787	499	3	]	]	X
easat-9787	499	4	n.	n.	PROPN
easat-9787	499	5	e.	e.	PROPN
easat-9787	499	6	savin	savin	PROPN
easat-9787	499	7	and	and	CCONJ
easat-9787	499	8	k.	k.	PROPN
easat-9787	499	9	j.	j.	PROPN
easat-9787	499	10	white	white	PROPN
easat-9787	499	11	,	,	PUNCT
easat-9787	499	12	"	"	PUNCT
easat-9787	499	13	the	the	DET
easat-9787	499	14	durbin	durbin	ADJ
easat-9787	499	15	-	-	PUNCT
easat-9787	499	16	watson	watson	NOUN
easat-9787	499	17	test	test	NOUN
easat-9787	499	18	for	for	ADP
easat-9787	499	19	serial	serial	ADJ
easat-9787	499	20	correlation	correlation	NOUN
easat-9787	499	21	with	with	ADP
easat-9787	499	22	extreme	extreme	ADJ
easat-9787	499	23	sample	sample	NOUN
easat-9787	499	24	sizes	size	NOUN
easat-9787	499	25	or	or	CCONJ
easat-9787	499	26	many	many	ADJ
easat-9787	499	27	regressors	regressor	NOUN
easat-9787	499	28	,	,	PUNCT
easat-9787	499	29	"	"	PUNCT
easat-9787	499	30	econometrica	econometrica	PROPN
easat-9787	499	31	,	,	PUNCT
easat-9787	499	32	vol	vol	NOUN
easat-9787	499	33	.	.	PROPN
easat-9787	499	34	45	45	NUM
easat-9787	499	35	,	,	PUNCT
easat-9787	499	36	no	no	INTJ
easat-9787	499	37	.	.	NOUN
easat-9787	499	38	8	8	NUM
easat-9787	499	39	,	,	PUNCT
easat-9787	499	40	pp	pp	ADJ
easat-9787	499	41	.	.	PUNCT
easat-9787	499	42	1989	1989	NUM
easat-9787	499	43	-	-	SYM
easat-9787	499	44	1996	1996	NUM
easat-9787	499	45	,	,	PUNCT
easat-9787	499	46	1977	1977	NUM
easat-9787	499	47	.	.	PUNCT
easat-9787	500	1	https://doi.org/10.2307/1914122	https://doi.org/10.2307/1914122	X
easat-9787	501	1	[	[	X
easat-9787	501	2	16	16	NUM
easat-9787	501	3	]	]	PUNCT
easat-9787	501	4	a.	a.	PROPN
easat-9787	501	5	bhargava	bhargava	PROPN
easat-9787	501	6	,	,	PUNCT
easat-9787	501	7	l.	l.	PROPN
easat-9787	501	8	franzini	franzini	PROPN
easat-9787	501	9	,	,	PUNCT
easat-9787	501	10	and	and	CCONJ
easat-9787	501	11	w.	w.	PROPN
easat-9787	501	12	narendranathan	narendranathan	PROPN
easat-9787	501	13	,	,	PUNCT
easat-9787	501	14	"	"	PUNCT
easat-9787	501	15	serial	serial	ADJ
easat-9787	501	16	correlation	correlation	NOUN
easat-9787	501	17	and	and	CCONJ
easat-9787	501	18	the	the	DET
easat-9787	501	19	fixed	fix	VERB
easat-9787	501	20	effects	effect	NOUN
easat-9787	501	21	model	model	NOUN
easat-9787	501	22	,	,	PUNCT
easat-9787	501	23	"	"	PUNCT
easat-9787	501	24	the	the	DET
easat-9787	501	25	review	review	NOUN
easat-9787	501	26	of	of	ADP
easat-9787	501	27	economic	economic	ADJ
easat-9787	501	28	studies	study	NOUN
easat-9787	501	29	,	,	PUNCT
easat-9787	501	30	vol	vol	NOUN
easat-9787	501	31	.	.	PROPN
easat-9787	501	32	49	49	NUM
easat-9787	501	33	,	,	PUNCT
easat-9787	501	34	no	no	INTJ
easat-9787	501	35	.	.	NOUN
easat-9787	501	36	4	4	NUM
easat-9787	501	37	,	,	PUNCT
easat-9787	501	38	pp	pp	ADJ
easat-9787	501	39	.	.	PUNCT
easat-9787	502	1	533–549	533–549	NUM
easat-9787	502	2	,	,	PUNCT
easat-9787	502	3	1982	1982	NUM
easat-9787	502	4	.	.	PUNCT
easat-9787	503	1	[	[	X
easat-9787	503	2	17	17	NUM
easat-9787	503	3	]	]	PUNCT
easat-9787	503	4	a.	a.	NOUN
easat-9787	503	5	banerjee	banerjee	PROPN
easat-9787	503	6	,	,	PUNCT
easat-9787	503	7	j.	j.	PROPN
easat-9787	503	8	j.	j.	PROPN
easat-9787	503	9	dolado	dolado	PROPN
easat-9787	503	10	,	,	PUNCT
easat-9787	503	11	j.	j.	PROPN
easat-9787	503	12	w.	w.	PROPN
easat-9787	503	13	galbraith	galbraith	PROPN
easat-9787	503	14	,	,	PUNCT
easat-9787	503	15	and	and	CCONJ
easat-9787	503	16	d.	d.	PROPN
easat-9787	503	17	hendry	hendry	PROPN
easat-9787	503	18	,	,	PUNCT
easat-9787	503	19	co	co	NOUN
easat-9787	503	20	-	-	NOUN
easat-9787	503	21	integration	integration	NOUN
easat-9787	503	22	,	,	PUNCT
easat-9787	503	23	error	error	NOUN
easat-9787	503	24	correction	correction	NOUN
easat-9787	503	25	,	,	PUNCT
easat-9787	503	26	and	and	CCONJ
easat-9787	503	27	the	the	DET
easat-9787	503	28	econometric	econometric	ADJ
easat-9787	503	29	analysis	analysis	NOUN
easat-9787	503	30	of	of	ADP
easat-9787	503	31	non	non	ADJ
easat-9787	503	32	-	-	ADJ
easat-9787	503	33	stationary	stationary	ADJ
easat-9787	503	34	data	datum	NOUN
easat-9787	503	35	.	.	PUNCT
easat-9787	504	1	oxford	oxford	PROPN
easat-9787	504	2	,	,	PUNCT
easat-9787	504	3	uk	uk	PROPN
easat-9787	504	4	:	:	PUNCT
easat-9787	504	5	oxford	oxford	PROPN
easat-9787	504	6	university	university	PROPN
easat-9787	504	7	press	press	NOUN
easat-9787	504	8	,	,	PUNCT
easat-9787	504	9	1993	1993	NUM
easat-9787	504	10	.	.	PUNCT
easat-9787	505	1	[	[	X
easat-9787	505	2	18	18	NUM
easat-9787	505	3	]	]	PUNCT
easat-9787	505	4	t.	t.	PROPN
easat-9787	505	5	s.	s.	PROPN
easat-9787	505	6	breusch	breusch	PROPN
easat-9787	505	7	,	,	PUNCT
easat-9787	505	8	"	"	PUNCT
easat-9787	505	9	testing	test	VERB
easat-9787	505	10	for	for	ADP
easat-9787	505	11	autocorrelation	autocorrelation	NOUN
easat-9787	505	12	in	in	ADP
easat-9787	505	13	dynamic	dynamic	ADJ
easat-9787	505	14	linear	linear	NOUN
easat-9787	505	15	models	model	NOUN
easat-9787	505	16	,	,	PUNCT
easat-9787	505	17	"	"	PUNCT
easat-9787	505	18	australian	australian	ADJ
easat-9787	505	19	economic	economic	ADJ
easat-9787	505	20	papers	paper	NOUN
easat-9787	505	21	,	,	PUNCT
easat-9787	505	22	vol	vol	NOUN
easat-9787	505	23	.	.	PROPN
easat-9787	505	24	17	17	NUM
easat-9787	505	25	,	,	PUNCT
easat-9787	505	26	no	no	INTJ
easat-9787	505	27	.	.	NOUN
easat-9787	505	28	31	31	NUM
easat-9787	505	29	,	,	PUNCT
easat-9787	505	30	pp	pp	ADJ
easat-9787	505	31	.	.	PUNCT
easat-9787	506	1	334–355	334–355	NUM
easat-9787	506	2	,	,	PUNCT
easat-9787	506	3	1978	1978	NUM
easat-9787	506	4	.	.	PUNCT
easat-9787	507	1	https://doi.org/10.1111/j.1467-8454.1978.tb00635.x	https://doi.org/10.1111/j.1467-8454.1978.tb00635.x	PROPN
easat-9787	507	2	[	[	X
easat-9787	507	3	19	19	NUM
easat-9787	507	4	]	]	PUNCT
easat-9787	507	5	l.	l.	PROPN
easat-9787	507	6	g.	g.	PROPN
easat-9787	507	7	godfrey	godfrey	PROPN
easat-9787	507	8	,	,	PUNCT
easat-9787	507	9	"	"	PUNCT
easat-9787	507	10	testing	testing	NOUN
easat-9787	507	11	against	against	ADP
easat-9787	507	12	general	general	ADJ
easat-9787	507	13	autoregressive	autoregressive	ADJ
easat-9787	507	14	and	and	CCONJ
easat-9787	507	15	moving	move	VERB
easat-9787	507	16	average	average	ADJ
easat-9787	507	17	error	error	NOUN
easat-9787	507	18	models	model	NOUN
easat-9787	507	19	when	when	SCONJ
easat-9787	507	20	the	the	DET
easat-9787	507	21	regressors	regressor	NOUN
easat-9787	507	22	include	include	VERB
easat-9787	507	23	lagged	lag	VERB
easat-9787	507	24	dependent	dependent	ADJ
easat-9787	507	25	variables	variable	NOUN
easat-9787	507	26	,	,	PUNCT
easat-9787	507	27	"	"	PUNCT
easat-9787	507	28	econometrica	econometrica	PROPN
easat-9787	507	29	,	,	PUNCT
easat-9787	507	30	vol	vol	NOUN
easat-9787	507	31	.	.	PROPN
easat-9787	507	32	46	46	NUM
easat-9787	507	33	,	,	PUNCT
easat-9787	507	34	no	no	INTJ
easat-9787	507	35	.	.	NOUN
easat-9787	507	36	6	6	NUM
easat-9787	507	37	,	,	PUNCT
easat-9787	507	38	pp	pp	ADJ
easat-9787	507	39	.	.	PUNCT
easat-9787	508	1	1293	1293	NUM
easat-9787	508	2	-	-	SYM
easat-9787	508	3	1301	1301	NUM
easat-9787	508	4	,	,	PUNCT
easat-9787	508	5	1978	1978	NUM
easat-9787	508	6	.	.	PUNCT
easat-9787	509	1	https://doi.org/10.2307/1913829	https://doi.org/10.2307/1913829	X
easat-9787	510	1	[	[	X
easat-9787	510	2	20	20	NUM
easat-9787	510	3	]	]	X
easat-9787	510	4	g.	g.	PROPN
easat-9787	510	5	m.	m.	PROPN
easat-9787	510	6	ljung	ljung	PROPN
easat-9787	510	7	and	and	CCONJ
easat-9787	510	8	g.	g.	PROPN
easat-9787	510	9	e.	e.	PROPN
easat-9787	510	10	p.	p.	PROPN
easat-9787	510	11	box	box	PROPN
easat-9787	510	12	,	,	PUNCT
easat-9787	510	13	"	"	PUNCT
easat-9787	510	14	on	on	ADP
easat-9787	510	15	a	a	DET
easat-9787	510	16	measure	measure	NOUN
easat-9787	510	17	of	of	ADP
easat-9787	510	18	lack	lack	NOUN
easat-9787	510	19	of	of	ADP
easat-9787	510	20	fit	fit	ADJ
easat-9787	510	21	in	in	ADP
easat-9787	510	22	time	time	NOUN
easat-9787	510	23	series	series	NOUN
easat-9787	510	24	models	model	NOUN
easat-9787	510	25	,	,	PUNCT
easat-9787	510	26	"	"	PUNCT
easat-9787	510	27	biometrika	biometrika	NOUN
easat-9787	510	28	,	,	PUNCT
easat-9787	510	29	vol	vol	NOUN
easat-9787	510	30	.	.	PROPN
easat-9787	510	31	65	65	NUM
easat-9787	510	32	,	,	PUNCT
easat-9787	510	33	no	no	INTJ
easat-9787	510	34	.	.	NOUN
easat-9787	510	35	2	2	NUM
easat-9787	510	36	,	,	PUNCT
easat-9787	510	37	pp	pp	ADJ
easat-9787	510	38	.	.	PUNCT
easat-9787	510	39	297303	297303	NUM
easat-9787	510	40	,	,	PUNCT
easat-9787	510	41	1978	1978	NUM
easat-9787	510	42	.	.	PUNCT
easat-9787	511	1	https://doi.org/10.1093/biomet/65.2.297	https://doi.org/10.1093/biomet/65.2.297	PUNCT
easat-9787	511	2	[	[	X
easat-9787	511	3	21	21	NUM
easat-9787	511	4	]	]	X
easat-9787	511	5	w.	w.	PROPN
easat-9787	511	6	w.	w.	PROPN
easat-9787	511	7	s.	s.	PROPN
easat-9787	511	8	wei	wei	PROPN
easat-9787	511	9	,	,	PUNCT
easat-9787	511	10	"	"	PUNCT
easat-9787	511	11	the	the	DET
easat-9787	511	12	behavior	behavior	NOUN
easat-9787	511	13	of	of	ADP
easat-9787	511	14	the	the	DET
easat-9787	511	15	autocorrelation	autocorrelation	NOUN
easat-9787	511	16	function	function	NOUN
easat-9787	511	17	under	under	ADP
easat-9787	511	18	aggregation	aggregation	NOUN
easat-9787	511	19	,	,	PUNCT
easat-9787	511	20	"	"	PUNCT
easat-9787	511	21	sankhyā	sankhyā	NOUN
easat-9787	511	22	:	:	PUNCT
easat-9787	511	23	the	the	DET
easat-9787	511	24	indian	indian	PROPN
easat-9787	511	25	journal	journal	PROPN
easat-9787	511	26	of	of	ADP
easat-9787	511	27	statistics	statistic	NOUN
easat-9787	511	28	,	,	PUNCT
easat-9787	511	29	series	series	PROPN
easat-9787	511	30	a	a	NOUN
easat-9787	511	31	,	,	PUNCT
easat-9787	511	32	vol	vol	NOUN
easat-9787	511	33	.	.	PROPN
easat-9787	511	34	40	40	NUM
easat-9787	511	35	,	,	PUNCT
easat-9787	511	36	no	no	INTJ
easat-9787	511	37	.	.	NOUN
easat-9787	511	38	4	4	NUM
easat-9787	511	39	,	,	PUNCT
easat-9787	511	40	pp	pp	ADJ
easat-9787	511	41	.	.	PUNCT
easat-9787	512	1	513–520	513–520	NUM
easat-9787	512	2	,	,	PUNCT
easat-9787	512	3	1978	1978	NUM
easat-9787	512	4	.	.	PUNCT
easat-9787	513	1	[	[	X
easat-9787	513	2	22	22	NUM
easat-9787	513	3	]	]	X
easat-9787	513	4	c.	c.	PROPN
easat-9787	513	5	m.	m.	PROPN
easat-9787	513	6	hurvich	hurvich	PROPN
easat-9787	513	7	and	and	CCONJ
easat-9787	513	8	c.-l	c.-l	PROPN
easat-9787	513	9	.	.	PUNCT
easat-9787	514	1	tsai	tsai	PROPN
easat-9787	514	2	,	,	PUNCT
easat-9787	514	3	"	"	PUNCT
easat-9787	514	4	regression	regression	NOUN
easat-9787	514	5	and	and	CCONJ
easat-9787	514	6	time	time	NOUN
easat-9787	514	7	series	series	PROPN
easat-9787	514	8	model	model	PROPN
easat-9787	514	9	selection	selection	NOUN
easat-9787	514	10	in	in	ADP
easat-9787	514	11	small	small	ADJ
easat-9787	514	12	samples	sample	NOUN
easat-9787	514	13	,	,	PUNCT
easat-9787	514	14	"	"	PUNCT
easat-9787	514	15	biometrika	biometrika	NOUN
easat-9787	514	16	,	,	PUNCT
easat-9787	514	17	vol	vol	NOUN
easat-9787	514	18	.	.	PROPN
easat-9787	515	1	76	76	NUM
easat-9787	515	2	,	,	PUNCT
easat-9787	515	3	no	no	INTJ
easat-9787	515	4	.	.	NOUN
easat-9787	515	5	2	2	NUM
easat-9787	515	6	,	,	PUNCT
easat-9787	515	7	pp	pp	ADJ
easat-9787	515	8	.	.	PUNCT
easat-9787	516	1	297	297	NUM
easat-9787	516	2	-	-	SYM
easat-9787	516	3	307	307	NUM
easat-9787	516	4	,	,	PUNCT
easat-9787	516	5	1989	1989	NUM
easat-9787	516	6	.	.	PUNCT
easat-9787	517	1	https://doi.org/10.1093/biomet/76.2.297	https://doi.org/10.1093/biomet/76.2.297	NUM
easat-9787	517	2	[	[	X
easat-9787	517	3	23	23	NUM
easat-9787	517	4	]	]	PUNCT
easat-9787	517	5	p.	p.	NOUN
easat-9787	517	6	rao	rao	PROPN
easat-9787	517	7	and	and	CCONJ
easat-9787	517	8	z.	z.	PROPN
easat-9787	517	9	griliches	griliche	NOUN
easat-9787	517	10	,	,	PUNCT
easat-9787	517	11	"	"	PUNCT
easat-9787	517	12	small	small	ADJ
easat-9787	517	13	-	-	PUNCT
easat-9787	517	14	sample	sample	NOUN
easat-9787	517	15	properties	property	NOUN
easat-9787	517	16	of	of	ADP
easat-9787	517	17	several	several	ADJ
easat-9787	517	18	two	two	NUM
easat-9787	517	19	-	-	PUNCT
easat-9787	517	20	stage	stage	NOUN
easat-9787	517	21	regression	regression	NOUN
easat-9787	517	22	methods	method	NOUN
easat-9787	517	23	in	in	ADP
easat-9787	517	24	the	the	DET
easat-9787	517	25	context	context	NOUN
easat-9787	517	26	of	of	ADP
easat-9787	517	27	autocorrelated	autocorrelated	ADJ
easat-9787	517	28	errors	error	NOUN
easat-9787	517	29	,	,	PUNCT
easat-9787	517	30	"	"	PUNCT
easat-9787	517	31	journal	journal	NOUN
easat-9787	517	32	of	of	ADP
easat-9787	517	33	the	the	DET
easat-9787	517	34	american	american	PROPN
easat-9787	517	35	statistical	statistical	PROPN
easat-9787	517	36	association	association	PROPN
easat-9787	517	37	,	,	PUNCT
easat-9787	517	38	vol	vol	NOUN
easat-9787	517	39	.	.	PROPN
easat-9787	517	40	64	64	NUM
easat-9787	517	41	,	,	PUNCT
easat-9787	517	42	no	no	INTJ
easat-9787	517	43	.	.	NOUN
easat-9787	517	44	325	325	NUM
easat-9787	517	45	,	,	PUNCT
easat-9787	517	46	pp	pp	ADJ
easat-9787	517	47	.	.	PUNCT
easat-9787	518	1	253–272	253–272	NUM
easat-9787	518	2	,	,	PUNCT
easat-9787	518	3	1969	1969	NUM
easat-9787	518	4	.	.	PUNCT
easat-9787	519	1	[	[	X
easat-9787	519	2	24	24	NUM
easat-9787	519	3	]	]	X
easat-9787	519	4	r.	r.	PROPN
easat-9787	519	5	m.	m.	PROPN
easat-9787	519	6	de	de	PROPN
easat-9787	519	7	jong	jong	PROPN
easat-9787	519	8	and	and	CCONJ
easat-9787	519	9	j.	j.	PROPN
easat-9787	519	10	davidson	davidson	PROPN
easat-9787	519	11	,	,	PUNCT
easat-9787	519	12	"	"	PUNCT
easat-9787	519	13	consistency	consistency	NOUN
easat-9787	519	14	of	of	ADP
easat-9787	519	15	kernel	kernel	PROPN
easat-9787	519	16	estimators	estimator	NOUN
easat-9787	519	17	of	of	ADP
easat-9787	519	18	heteroscedastic	heteroscedastic	ADJ
easat-9787	519	19	and	and	CCONJ
easat-9787	519	20	autocorrelated	autocorrelated	ADJ
easat-9787	519	21	covariance	covariance	NOUN
easat-9787	519	22	matrices	matrix	NOUN
easat-9787	519	23	,	,	PUNCT
easat-9787	519	24	"	"	PUNCT
easat-9787	519	25	econometrica	econometrica	PROPN
easat-9787	519	26	,	,	PUNCT
easat-9787	519	27	vol	vol	NOUN
easat-9787	519	28	.	.	PROPN
easat-9787	519	29	68	68	NUM
easat-9787	519	30	,	,	PUNCT
easat-9787	519	31	no	no	INTJ
easat-9787	519	32	.	.	NOUN
easat-9787	519	33	2	2	NUM
easat-9787	519	34	,	,	PUNCT
easat-9787	519	35	pp	pp	ADJ
easat-9787	519	36	.	.	PUNCT
easat-9787	519	37	407	407	NUM
easat-9787	519	38	-	-	SYM
easat-9787	519	39	423	423	NUM
easat-9787	519	40	,	,	PUNCT
easat-9787	519	41	2000	2000	NUM
easat-9787	519	42	.	.	PUNCT
easat-9787	520	1	[	[	X
easat-9787	520	2	25	25	NUM
easat-9787	520	3	]	]	PUNCT
easat-9787	520	4	c.	c.	PROPN
easat-9787	520	5	a.	a.	NOUN
easat-9787	520	6	sims	sim	NOUN
easat-9787	520	7	,	,	PUNCT
easat-9787	520	8	"	"	PUNCT
easat-9787	520	9	seasonality	seasonality	NOUN
easat-9787	520	10	in	in	ADP
easat-9787	520	11	regression	regression	NOUN
easat-9787	520	12	,	,	PUNCT
easat-9787	520	13	"	"	PUNCT
easat-9787	520	14	journal	journal	NOUN
easat-9787	520	15	of	of	ADP
easat-9787	520	16	the	the	DET
easat-9787	520	17	american	american	PROPN
easat-9787	520	18	statistical	statistical	PROPN
easat-9787	520	19	association	association	PROPN
easat-9787	520	20	,	,	PUNCT
easat-9787	520	21	vol	vol	NOUN
easat-9787	520	22	.	.	PROPN
easat-9787	520	23	69	69	NUM
easat-9787	520	24	,	,	PUNCT
easat-9787	520	25	no	no	INTJ
easat-9787	520	26	.	.	NOUN
easat-9787	520	27	347	347	NUM
easat-9787	520	28	,	,	PUNCT
easat-9787	520	29	pp	pp	ADJ
easat-9787	520	30	.	.	PUNCT
easat-9787	521	1	618–626	618–626	NUM
easat-9787	521	2	,	,	PUNCT
easat-9787	521	3	1974	1974	NUM
easat-9787	521	4	.	.	PUNCT
easat-9787	522	1	[	[	X
easat-9787	522	2	26	26	NUM
easat-9787	522	3	]	]	PUNCT
easat-9787	522	4	m.	m.	NOUN
easat-9787	522	5	p.	p.	PROPN
easat-9787	522	6	clements	clements	PROPN
easat-9787	522	7	and	and	CCONJ
easat-9787	522	8	d.	d.	PROPN
easat-9787	522	9	f.	f.	PROPN
easat-9787	522	10	hendry	hendry	PROPN
easat-9787	522	11	,	,	PUNCT
easat-9787	522	12	"	"	PUNCT
easat-9787	522	13	forecasting	forecast	VERB
easat-9787	522	14	in	in	ADP
easat-9787	522	15	cointegrated	cointegrate	VERB
easat-9787	522	16	systems	system	NOUN
easat-9787	522	17	,	,	PUNCT
easat-9787	522	18	"	"	PUNCT
easat-9787	522	19	journal	journal	NOUN
easat-9787	522	20	of	of	ADP
easat-9787	522	21	applied	apply	VERB
easat-9787	522	22	econometrics	econometric	NOUN
easat-9787	522	23	,	,	PUNCT
easat-9787	522	24	vol	vol	NOUN
easat-9787	522	25	.	.	PROPN
easat-9787	522	26	10	10	NUM
easat-9787	522	27	,	,	PUNCT
easat-9787	522	28	no	no	INTJ
easat-9787	522	29	.	.	NOUN
easat-9787	522	30	2	2	NUM
easat-9787	522	31	,	,	PUNCT
easat-9787	522	32	pp	pp	ADJ
easat-9787	522	33	.	.	PUNCT
easat-9787	523	1	127–146	127–146	NUM
easat-9787	523	2	,	,	PUNCT
easat-9787	523	3	1995	1995	NUM
easat-9787	523	4	.	.	PUNCT
easat-9787	524	1	[	[	X
easat-9787	524	2	27	27	NUM
easat-9787	524	3	]	]	PUNCT
easat-9787	524	4	r.	r.	PROPN
easat-9787	524	5	f.	f.	PROPN
easat-9787	524	6	engle	engle	PROPN
easat-9787	524	7	and	and	CCONJ
easat-9787	524	8	a.	a.	PROPN
easat-9787	524	9	j.	j.	PROPN
easat-9787	524	10	patton	patton	PROPN
easat-9787	524	11	,	,	PUNCT
easat-9787	524	12	"	"	PUNCT
easat-9787	524	13	what	what	PRON
easat-9787	524	14	good	good	ADJ
easat-9787	524	15	is	be	AUX
easat-9787	524	16	a	a	DET
easat-9787	524	17	volatility	volatility	NOUN
easat-9787	524	18	model	model	NOUN
easat-9787	524	19	?	?	PUNCT
easat-9787	524	20	,	,	PUNCT
easat-9787	524	21	"	"	PUNCT
easat-9787	524	22	quantitative	quantitative	ADJ
easat-9787	524	23	finance	finance	NOUN
easat-9787	524	24	,	,	PUNCT
easat-9787	524	25	vol	vol	NOUN
easat-9787	524	26	.	.	PROPN
easat-9787	524	27	1	1	NUM
easat-9787	524	28	,	,	PUNCT
easat-9787	524	29	no	no	INTJ
easat-9787	524	30	.	.	NOUN
easat-9787	524	31	2	2	NUM
easat-9787	524	32	,	,	PUNCT
easat-9787	524	33	pp	pp	ADJ
easat-9787	524	34	.	.	PUNCT
easat-9787	525	1	237–245	237–245	NUM
easat-9787	525	2	,	,	PUNCT
easat-9787	525	3	2001	2001	NUM
easat-9787	525	4	.	.	PUNCT
easat-9787	526	1	https://doi.org/10.1080/01621459.1972.10481264	https://doi.org/10.1080/01621459.1972.10481264	NOUN
easat-9787	527	1	https://doi.org/10.1198/073500102317351921	https://doi.org/10.1198/073500102317351921	ADV
easat-9787	527	2	https://doi.org/10.2307/1914122	https://doi.org/10.2307/1914122	X
easat-9787	527	3	https://doi.org/10.1111/j.1467-8454.1978.tb00635.x	https://doi.org/10.1111/j.1467-8454.1978.tb00635.x	PROPN
easat-9787	527	4	https://doi.org/10.2307/1913829	https://doi.org/10.2307/1913829	ADJ
easat-9787	527	5	https://doi.org/10.1093/biomet/65.2.297	https://doi.org/10.1093/biomet/65.2.297	PROPN
easat-9787	527	6	https://doi.org/10.1093/biomet/76.2.297	https://doi.org/10.1093/biomet/76.2.297	NUM