id	sid	tid	token	lemma	pos
dem-1067	1	1	microsoft	microsoft	PROPN
dem-1067	1	2	word	word	NOUN
dem-1067	1	3	10_bruzda_j.doc	10_bruzda_j.doc	NUM
dem-1067	1	4	dynamic	dynamic	ADJ
dem-1067	1	5	econometric	econometric	ADJ
dem-1067	1	6	models	model	NOUN
dem-1067	1	7	vol	vol	NOUN
dem-1067	1	8	.	.	PROPN
dem-1067	1	9	11	11	NUM
dem-1067	1	10	–	–	PUNCT
dem-1067	1	11	nicolaus	nicolaus	PROPN
dem-1067	1	12	copernicus	copernicus	PROPN
dem-1067	1	13	university	university	PROPN
dem-1067	1	14	–	–	PUNCT
dem-1067	1	15	toruń	toruń	NOUN
dem-1067	1	16	–	–	PUNCT
dem-1067	1	17	2011	2011	NUM
dem-1067	1	18	joanna	joanna	PROPN
dem-1067	1	19	bruzda	bruzda	PROPN
dem-1067	1	20	nicolaus	nicolaus	PROPN
dem-1067	1	21	copernicus	copernicus	PROPN
dem-1067	1	22	university	university	PROPN
dem-1067	1	23	in	in	ADP
dem-1067	1	24	toruń	toruń	PROPN
dem-1067	1	25	the	the	DET
dem-1067	1	26	haar	haar	PROPN
dem-1067	1	27	wavelet	wavelet	NOUN
dem-1067	1	28	transfer	transfer	NOUN
dem-1067	1	29	function	function	NOUN
dem-1067	1	30	model	model	NOUN
dem-1067	1	31	and	and	CCONJ
dem-1067	1	32	its	its	PRON
dem-1067	1	33	applications†	applications†	NOUN
dem-1067	1	34	a	a	DET
dem-1067	1	35	b	b	PROPN
dem-1067	1	36	s	s	ADP
dem-1067	1	37	t	t	PROPN
dem-1067	1	38	r	r	NOUN
dem-1067	1	39	a	a	DET
dem-1067	1	40	c	c	NOUN
dem-1067	1	41	t.	t.	NOUN
dem-1067	1	42	in	in	ADP
dem-1067	1	43	the	the	DET
dem-1067	1	44	paper	paper	NOUN
dem-1067	1	45	the	the	DET
dem-1067	1	46	haar	haar	PROPN
dem-1067	1	47	wavelet	wavelet	NOUN
dem-1067	1	48	transfer	transfer	NOUN
dem-1067	1	49	function	function	NOUN
dem-1067	1	50	models	model	NOUN
dem-1067	1	51	are	be	AUX
dem-1067	1	52	suggested	suggest	VERB
dem-1067	1	53	as	as	ADP
dem-1067	1	54	a	a	DET
dem-1067	1	55	way	way	NOUN
dem-1067	1	56	to	to	AUX
dem-1067	1	57	parsimoniously	parsimoniously	ADV
dem-1067	1	58	parametrise	parametrise	VERB
dem-1067	1	59	the	the	DET
dem-1067	1	60	impulse	impulse	ADJ
dem-1067	1	61	responses	response	NOUN
dem-1067	1	62	and	and	CCONJ
dem-1067	1	63	construct	construct	VERB
dem-1067	1	64	models	model	NOUN
dem-1067	1	65	with	with	ADP
dem-1067	1	66	parameters	parameter	NOUN
dem-1067	1	67	providing	provide	VERB
dem-1067	1	68	an	an	DET
dem-1067	1	69	insight	insight	NOUN
dem-1067	1	70	into	into	ADP
dem-1067	1	71	the	the	DET
dem-1067	1	72	frequency	frequency	NOUN
dem-1067	1	73	content	content	NOUN
dem-1067	1	74	of	of	ADP
dem-1067	1	75	the	the	DET
dem-1067	1	76	relationships	relationship	NOUN
dem-1067	1	77	under	under	ADP
dem-1067	1	78	scrutiny	scrutiny	NOUN
dem-1067	1	79	.	.	PUNCT
dem-1067	2	1	besides	besides	SCONJ
dem-1067	2	2	,	,	PUNCT
dem-1067	2	3	the	the	DET
dem-1067	2	4	models	model	NOUN
dem-1067	2	5	enable	enable	VERB
dem-1067	2	6	to	to	PART
dem-1067	2	7	verify	verify	VERB
dem-1067	2	8	hypotheses	hypothesis	NOUN
dem-1067	2	9	concerning	concern	VERB
dem-1067	2	10	changes	change	NOUN
dem-1067	2	11	of	of	ADP
dem-1067	2	12	the	the	DET
dem-1067	2	13	regression	regression	NOUN
dem-1067	2	14	parameters	parameter	NOUN
dem-1067	2	15	across	across	ADP
dem-1067	2	16	dyadic	dyadic	ADJ
dem-1067	2	17	scales	scale	NOUN
dem-1067	2	18	(	(	PUNCT
dem-1067	2	19	octave	octave	NOUN
dem-1067	2	20	frequency	frequency	NOUN
dem-1067	2	21	bands	band	NOUN
dem-1067	2	22	)	)	PUNCT
dem-1067	2	23	.	.	PUNCT
dem-1067	3	1	in	in	ADP
dem-1067	3	2	the	the	DET
dem-1067	3	3	paper	paper	NOUN
dem-1067	3	4	some	some	DET
dem-1067	3	5	theoretical	theoretical	ADJ
dem-1067	3	6	properties	property	NOUN
dem-1067	3	7	of	of	ADP
dem-1067	3	8	the	the	DET
dem-1067	3	9	models	model	NOUN
dem-1067	3	10	are	be	AUX
dem-1067	3	11	investigated	investigate	VERB
dem-1067	3	12	and	and	CCONJ
dem-1067	3	13	an	an	DET
dem-1067	3	14	empirical	empirical	ADJ
dem-1067	3	15	illustration	illustration	NOUN
dem-1067	3	16	is	be	AUX
dem-1067	3	17	provided	provide	VERB
dem-1067	3	18	.	.	PUNCT
dem-1067	4	1	in	in	ADP
dem-1067	4	2	the	the	DET
dem-1067	4	3	empirical	empirical	ADJ
dem-1067	4	4	study	study	NOUN
dem-1067	4	5	returns	return	NOUN
dem-1067	4	6	on	on	ADP
dem-1067	4	7	wig	wig	NOUN
dem-1067	4	8	are	be	AUX
dem-1067	4	9	modelled	model	VERB
dem-1067	4	10	with	with	ADP
dem-1067	4	11	the	the	DET
dem-1067	4	12	help	help	NOUN
dem-1067	4	13	of	of	ADP
dem-1067	4	14	returns	return	NOUN
dem-1067	4	15	on	on	ADP
dem-1067	4	16	s&p	s&p	PROPN
dem-1067	4	17	500	500	NUM
dem-1067	4	18	.	.	PUNCT
dem-1067	5	1	interestingly	interestingly	ADV
dem-1067	5	2	,	,	PUNCT
dem-1067	5	3	besides	besides	SCONJ
dem-1067	5	4	the	the	DET
dem-1067	5	5	insight	insight	NOUN
dem-1067	5	6	into	into	ADP
dem-1067	5	7	the	the	DET
dem-1067	5	8	frequency	frequency	NOUN
dem-1067	5	9	content	content	NOUN
dem-1067	5	10	of	of	ADP
dem-1067	5	11	the	the	DET
dem-1067	5	12	relationship	relationship	NOUN
dem-1067	5	13	,	,	PUNCT
dem-1067	5	14	the	the	DET
dem-1067	5	15	empirical	empirical	ADJ
dem-1067	5	16	wavelet	wavelet	NOUN
dem-1067	5	17	transfer	transfer	NOUN
dem-1067	5	18	function	function	NOUN
dem-1067	5	19	models	model	NOUN
dem-1067	5	20	also	also	ADV
dem-1067	5	21	provided	provide	VERB
dem-1067	5	22	good	good	ADJ
dem-1067	5	23	forecasts	forecast	NOUN
dem-1067	5	24	.	.	PUNCT
dem-1067	6	1	k	k	PROPN
dem-1067	6	2	e	e	PROPN
dem-1067	6	3	y	y	PROPN
dem-1067	6	4	w	w	NOUN
dem-1067	6	5	o	o	NOUN
dem-1067	6	6	r	r	NOUN
dem-1067	6	7	d	d	PROPN
dem-1067	6	8	s	s	X
dem-1067	6	9	:	:	PUNCT
dem-1067	6	10	wavelet	wavelet	NOUN
dem-1067	6	11	transfer	transfer	NOUN
dem-1067	6	12	function	function	NOUN
dem-1067	6	13	model	model	NOUN
dem-1067	6	14	,	,	PUNCT
dem-1067	6	15	haar	haar	PROPN
dem-1067	6	16	wavelet	wavelet	PROPN
dem-1067	6	17	,	,	PUNCT
dem-1067	6	18	maximal	maximal	ADJ
dem-1067	6	19	overlap	overlap	NOUN
dem-1067	6	20	discrete	discrete	ADJ
dem-1067	6	21	wavelet	wavelet	NOUN
dem-1067	6	22	transform	transform	NOUN
dem-1067	6	23	.	.	PUNCT
dem-1067	7	1	introduction	introduction	NOUN
dem-1067	7	2	there	there	PRON
dem-1067	7	3	are	be	VERB
dem-1067	7	4	two	two	NUM
dem-1067	7	5	approaches	approach	NOUN
dem-1067	7	6	to	to	PART
dem-1067	7	7	examine	examine	VERB
dem-1067	7	8	economic	economic	ADJ
dem-1067	7	9	relationships	relationship	NOUN
dem-1067	7	10	with	with	ADP
dem-1067	7	11	wavelets	wavelet	NOUN
dem-1067	7	12	.	.	PUNCT
dem-1067	8	1	in	in	ADP
dem-1067	8	2	the	the	DET
dem-1067	8	3	first	first	ADJ
dem-1067	8	4	case	case	NOUN
dem-1067	8	5	,	,	PUNCT
dem-1067	8	6	the	the	DET
dem-1067	8	7	processes	process	NOUN
dem-1067	8	8	under	under	ADP
dem-1067	8	9	scrutiny	scrutiny	NOUN
dem-1067	8	10	are	be	AUX
dem-1067	8	11	decomposed	decompose	VERB
dem-1067	8	12	according	accord	VERB
dem-1067	8	13	to	to	ADP
dem-1067	8	14	dyadic	dyadic	ADJ
dem-1067	8	15	scales	scale	NOUN
dem-1067	8	16	and	and	CCONJ
dem-1067	8	17	the	the	DET
dem-1067	8	18	economic	economic	ADJ
dem-1067	8	19	relationship	relationship	NOUN
dem-1067	8	20	is	be	AUX
dem-1067	8	21	investigated	investigate	VERB
dem-1067	8	22	for	for	ADP
dem-1067	8	23	the	the	DET
dem-1067	8	24	separate	separate	ADJ
dem-1067	8	25	octave	octave	NOUN
dem-1067	8	26	frequency	frequency	NOUN
dem-1067	8	27	bands	band	NOUN
dem-1067	8	28	relying	rely	VERB
dem-1067	8	29	on	on	ADP
dem-1067	8	30	dwtor	dwtor	NOUN
dem-1067	8	31	modwt	modwt	NOUN
dem-1067	8	32	-	-	PUNCT
dem-1067	8	33	based1	based1	NOUN
dem-1067	8	34	wavelet	wavelet	NOUN
dem-1067	8	35	and	and	CCONJ
dem-1067	8	36	scaling	scale	VERB
dem-1067	8	37	coefficient	coefficient	NOUN
dem-1067	8	38	or	or	CCONJ
dem-1067	8	39	,	,	PUNCT
dem-1067	8	40	alternatively	alternatively	ADV
dem-1067	8	41	,	,	PUNCT
dem-1067	8	42	dwtor	dwtor	NOUN
dem-1067	8	43	modwt	modwt	NOUN
dem-1067	8	44	-	-	PUNCT
dem-1067	8	45	based	base	VERB
dem-1067	8	46	details	detail	NOUN
dem-1067	8	47	and	and	CCONJ
dem-1067	8	48	approximations	approximation	NOUN
dem-1067	8	49	(	(	PUNCT
dem-1067	8	50	smooths	smooth	NOUN
dem-1067	8	51	)	)	PUNCT
dem-1067	8	52	.	.	PUNCT
dem-1067	9	1	the	the	DET
dem-1067	9	2	second	second	ADJ
dem-1067	9	3	approach	approach	NOUN
dem-1067	9	4	is	be	AUX
dem-1067	9	5	more	more	ADJ
dem-1067	9	6	prediction	prediction	NOUN
dem-1067	9	7	-	-	PUNCT
dem-1067	9	8	oriented	orient	VERB
dem-1067	9	9	and	and	CCONJ
dem-1067	9	10	consists	consist	VERB
dem-1067	9	11	in	in	ADP
dem-1067	9	12	replacing	replace	VERB
dem-1067	9	13	some	some	PRON
dem-1067	9	14	or	or	CCONJ
dem-1067	9	15	all	all	PRON
dem-1067	9	16	of	of	ADP
dem-1067	9	17	explanatory	explanatory	ADJ
dem-1067	9	18	variables	variable	NOUN
dem-1067	9	19	with	with	ADP
dem-1067	9	20	their	their	PRON
dem-1067	9	21	wavelet	wavelet	NOUN
dem-1067	9	22	packet	packet	NOUN
dem-1067	9	23	coefficients	coefficient	NOUN
dem-1067	9	24	.	.	PUNCT
dem-1067	10	1	the	the	DET
dem-1067	10	2	method	method	NOUN
dem-1067	10	3	was	be	AUX
dem-1067	10	4	introduced	introduce	VERB
dem-1067	10	5	in	in	ADP
dem-1067	10	6	nason	nason	PROPN
dem-1067	10	7	and	and	CCONJ
dem-1067	10	8	sapatinas	sapatina	NOUN
dem-1067	10	9	(	(	PUNCT
dem-1067	10	10	2002	2002	NUM
dem-1067	10	11	)	)	PUNCT
dem-1067	10	12	and	and	CCONJ
dem-1067	10	13	applied	apply	VERB
dem-1067	10	14	to	to	ADP
dem-1067	10	15	such	such	ADJ
dem-1067	10	16	problems	problem	NOUN
dem-1067	10	17	as	as	ADP
dem-1067	10	18	wind	wind	NOUN
dem-1067	10	19	speed	speed	NOUN
dem-1067	10	20	prediction	prediction	NOUN
dem-1067	10	21	(	(	PUNCT
dem-1067	10	22	hunt	hunt	NOUN
dem-1067	10	23	,	,	PUNCT
dem-1067	10	24	nason	nason	PROPN
dem-1067	10	25	,	,	PUNCT
dem-1067	10	26	2001	2001	NUM
dem-1067	10	27	;	;	PUNCT
dem-1067	10	28	nason	nason	PROPN
dem-1067	10	29	,	,	PUNCT
dem-1067	10	30	sapatinas	sapatina	NOUN
dem-1067	10	31	,	,	PUNCT
dem-1067	10	32	2002	2002	NUM
dem-1067	10	33	)	)	PUNCT
dem-1067	10	34	,	,	PUNCT
dem-1067	11	1	data	datum	NOUN
dem-1067	11	2	segmentation	segmentation	NOUN
dem-1067	11	3	(	(	PUNCT
dem-1067	11	4	nason	nason	PROPN
dem-1067	11	5	et	et	PROPN
dem-1067	11	6	al	al	PROPN
dem-1067	11	7	.	.	PROPN
dem-1067	11	8	,	,	PUNCT
dem-1067	11	9	2001	2001	NUM
dem-1067	11	10	)	)	PUNCT
dem-1067	11	11	,	,	PUNCT
dem-1067	11	12	modelling	model	VERB
dem-1067	11	13	market	market	NOUN
dem-1067	11	14	shares	share	NOUN
dem-1067	11	15	of	of	ADP
dem-1067	11	16	†	†	PROPN
dem-1067	11	17	the	the	DET
dem-1067	11	18	author	author	NOUN
dem-1067	11	19	acknowledges	acknowledge	VERB
dem-1067	11	20	the	the	DET
dem-1067	11	21	financial	financial	ADJ
dem-1067	11	22	support	support	NOUN
dem-1067	11	23	from	from	ADP
dem-1067	11	24	the	the	DET
dem-1067	11	25	polish	polish	PROPN
dem-1067	11	26	ministry	ministry	PROPN
dem-1067	11	27	of	of	ADP
dem-1067	11	28	science	science	PROPN
dem-1067	11	29	and	and	CCONJ
dem-1067	11	30	higher	high	ADJ
dem-1067	11	31	education	education	NOUN
dem-1067	11	32	under	under	ADP
dem-1067	11	33	the	the	DET
dem-1067	11	34	grant	grant	NOUN
dem-1067	11	35	no	no	INTJ
dem-1067	11	36	.	.	PUNCT
dem-1067	12	1	n	n	PROPN
dem-1067	12	2	n111	n111	PROPN
dem-1067	12	3	285135	285135	NUM
dem-1067	12	4	.	.	PUNCT
dem-1067	13	1	1	1	NUM
dem-1067	13	2	the	the	DET
dem-1067	13	3	abbreviations	abbreviation	NOUN
dem-1067	13	4	dwt	dwt	NOUN
dem-1067	13	5	and	and	CCONJ
dem-1067	13	6	modwt	modwt	NOUN
dem-1067	13	7	refer	refer	VERB
dem-1067	13	8	to	to	ADP
dem-1067	13	9	the	the	DET
dem-1067	13	10	discrete	discrete	ADJ
dem-1067	13	11	wavelet	wavelet	NOUN
dem-1067	13	12	transform	transform	NOUN
dem-1067	13	13	and	and	CCONJ
dem-1067	13	14	the	the	DET
dem-1067	13	15	maximal	maximal	ADJ
dem-1067	13	16	overlap	overlap	NOUN
dem-1067	13	17	(	(	PUNCT
dem-1067	13	18	non	non	ADJ
dem-1067	13	19	-	-	ADJ
dem-1067	13	20	decimated	decimated	ADJ
dem-1067	13	21	)	)	PUNCT
dem-1067	13	22	discrete	discrete	ADJ
dem-1067	13	23	wavelet	wavelet	NOUN
dem-1067	13	24	transform	transform	NOUN
dem-1067	13	25	accordingly	accordingly	ADV
dem-1067	13	26	.	.	PUNCT
dem-1067	14	1	further	far	ADV
dem-1067	14	2	we	we	PRON
dem-1067	14	3	use	use	VERB
dem-1067	14	4	also	also	ADV
dem-1067	14	5	the	the	DET
dem-1067	14	6	acronym	acronym	NOUN
dem-1067	14	7	modwpt	modwpt	NOUN
dem-1067	14	8	,	,	PUNCT
dem-1067	14	9	which	which	PRON
dem-1067	14	10	stands	stand	VERB
dem-1067	14	11	for	for	ADP
dem-1067	14	12	the	the	DET
dem-1067	14	13	maximal	maximal	ADJ
dem-1067	14	14	overlap	overlap	NOUN
dem-1067	14	15	discrete	discrete	ADJ
dem-1067	14	16	wavelet	wavelet	NOUN
dem-1067	14	17	packet	packet	NOUN
dem-1067	14	18	transform	transform	NOUN
dem-1067	14	19	.	.	PUNCT
dem-1067	15	1	joanna	joanna	PROPN
dem-1067	15	2	bruzda	bruzda	VERB
dem-1067	15	3	142	142	NUM
dem-1067	15	4	products	product	NOUN
dem-1067	15	5	with	with	ADP
dem-1067	15	6	their	their	PRON
dem-1067	15	7	relative	relative	ADJ
dem-1067	15	8	prices	price	NOUN
dem-1067	15	9	(	(	PUNCT
dem-1067	15	10	hunt	hunt	NOUN
dem-1067	15	11	,	,	PUNCT
dem-1067	15	12	2002	2002	NUM
dem-1067	15	13	)	)	PUNCT
dem-1067	15	14	and	and	CCONJ
dem-1067	15	15	constructing	construct	VERB
dem-1067	15	16	marketing	marketing	NOUN
dem-1067	15	17	mix	mix	NOUN
dem-1067	15	18	models	model	NOUN
dem-1067	15	19	(	(	PUNCT
dem-1067	15	20	michis	michis	NOUN
dem-1067	15	21	,	,	PUNCT
dem-1067	15	22	2006	2006	NUM
dem-1067	15	23	)	)	PUNCT
dem-1067	15	24	.	.	PUNCT
dem-1067	16	1	to	to	PART
dem-1067	16	2	overcome	overcome	VERB
dem-1067	16	3	the	the	DET
dem-1067	16	4	problem	problem	NOUN
dem-1067	16	5	of	of	ADP
dem-1067	16	6	multicollinearity	multicollinearity	NOUN
dem-1067	16	7	of	of	ADP
dem-1067	16	8	wavelet	wavelet	NOUN
dem-1067	16	9	packet	packet	NOUN
dem-1067	16	10	coefficients	coefficient	NOUN
dem-1067	16	11	form	form	VERB
dem-1067	16	12	different	different	ADJ
dem-1067	16	13	decomposition	decomposition	NOUN
dem-1067	16	14	levels	level	NOUN
dem-1067	16	15	,	,	PUNCT
dem-1067	16	16	the	the	DET
dem-1067	16	17	coefficient	coefficient	NOUN
dem-1067	16	18	vectors	vector	NOUN
dem-1067	16	19	that	that	PRON
dem-1067	16	20	show	show	VERB
dem-1067	16	21	the	the	DET
dem-1067	16	22	maximum	maximum	ADJ
dem-1067	16	23	correlation	correlation	NOUN
dem-1067	16	24	with	with	ADP
dem-1067	16	25	the	the	DET
dem-1067	16	26	dependent	dependent	ADJ
dem-1067	16	27	variable	variable	NOUN
dem-1067	16	28	are	be	AUX
dem-1067	16	29	usually	usually	ADV
dem-1067	16	30	used	use	VERB
dem-1067	16	31	(	(	PUNCT
dem-1067	16	32	nason	nason	PROPN
dem-1067	16	33	,	,	PUNCT
dem-1067	16	34	sapatinas	sapatina	NOUN
dem-1067	16	35	,	,	PUNCT
dem-1067	16	36	2002	2002	NUM
dem-1067	16	37	)	)	PUNCT
dem-1067	16	38	or	or	CCONJ
dem-1067	16	39	the	the	DET
dem-1067	16	40	packet	packet	NOUN
dem-1067	16	41	coefficients	coefficient	NOUN
dem-1067	16	42	are	be	AUX
dem-1067	16	43	replaced	replace	VERB
dem-1067	16	44	with	with	ADP
dem-1067	16	45	their	their	PRON
dem-1067	16	46	principal	principal	ADJ
dem-1067	16	47	components	component	NOUN
dem-1067	16	48	(	(	PUNCT
dem-1067	16	49	hunt	hunt	NOUN
dem-1067	16	50	,	,	PUNCT
dem-1067	16	51	nason	nason	PROPN
dem-1067	16	52	,	,	PUNCT
dem-1067	16	53	2001	2001	NUM
dem-1067	16	54	;	;	PUNCT
dem-1067	16	55	hunt	hunt	NOUN
dem-1067	16	56	,	,	PUNCT
dem-1067	16	57	2002	2002	NUM
dem-1067	16	58	;	;	PUNCT
dem-1067	16	59	michis	michis	PRON
dem-1067	16	60	,	,	PUNCT
dem-1067	16	61	2006	2006	NUM
dem-1067	16	62	)	)	PUNCT
dem-1067	16	63	.	.	PUNCT
dem-1067	17	1	the	the	DET
dem-1067	17	2	approach	approach	NOUN
dem-1067	17	3	suggested	suggest	VERB
dem-1067	17	4	here	here	ADV
dem-1067	17	5	resembles	resemble	VERB
dem-1067	17	6	that	that	PRON
dem-1067	17	7	of	of	ADP
dem-1067	17	8	nason	nason	PROPN
dem-1067	17	9	and	and	CCONJ
dem-1067	17	10	sapatinas	sapatina	NOUN
dem-1067	17	11	(	(	PUNCT
dem-1067	17	12	2002	2002	NUM
dem-1067	17	13	)	)	PUNCT
dem-1067	17	14	,	,	PUNCT
dem-1067	17	15	although	although	SCONJ
dem-1067	17	16	in	in	ADP
dem-1067	17	17	the	the	DET
dem-1067	17	18	construction	construction	NOUN
dem-1067	17	19	of	of	ADP
dem-1067	17	20	our	our	PRON
dem-1067	17	21	wavelet	wavelet	NOUN
dem-1067	17	22	transfer	transfer	NOUN
dem-1067	17	23	function	function	NOUN
dem-1067	17	24	model	model	NOUN
dem-1067	17	25	we	we	PRON
dem-1067	17	26	put	put	VERB
dem-1067	17	27	more	more	ADJ
dem-1067	17	28	emphasis	emphasis	NOUN
dem-1067	17	29	on	on	ADP
dem-1067	17	30	the	the	DET
dem-1067	17	31	interpretation	interpretation	NOUN
dem-1067	17	32	of	of	ADP
dem-1067	17	33	parameters	parameter	NOUN
dem-1067	17	34	and	and	CCONJ
dem-1067	17	35	make	make	VERB
dem-1067	17	36	use	use	NOUN
dem-1067	17	37	of	of	ADP
dem-1067	17	38	the	the	DET
dem-1067	17	39	notion	notion	NOUN
dem-1067	17	40	of	of	ADP
dem-1067	17	41	the	the	DET
dem-1067	17	42	wavelet	wavelet	NOUN
dem-1067	17	43	best	good	ADJ
dem-1067	17	44	basis	basis	NOUN
dem-1067	17	45	.	.	PUNCT
dem-1067	18	1	in	in	ADP
dem-1067	18	2	what	what	PRON
dem-1067	18	3	follows	follow	VERB
dem-1067	18	4	some	some	DET
dem-1067	18	5	theoretical	theoretical	ADJ
dem-1067	18	6	properties	property	NOUN
dem-1067	18	7	of	of	ADP
dem-1067	18	8	the	the	DET
dem-1067	18	9	suggested	suggest	VERB
dem-1067	18	10	model	model	NOUN
dem-1067	18	11	are	be	AUX
dem-1067	18	12	investigated	investigate	VERB
dem-1067	18	13	and	and	CCONJ
dem-1067	18	14	an	an	DET
dem-1067	18	15	empirical	empirical	ADJ
dem-1067	18	16	illustration	illustration	NOUN
dem-1067	18	17	is	be	AUX
dem-1067	18	18	provided	provide	VERB
dem-1067	18	19	.	.	PUNCT
dem-1067	19	1	in	in	ADP
dem-1067	19	2	section	section	NOUN
dem-1067	19	3	1	1	NUM
dem-1067	19	4	we	we	PRON
dem-1067	19	5	introduce	introduce	VERB
dem-1067	19	6	our	our	PRON
dem-1067	19	7	haar	haar	NOUN
dem-1067	19	8	wavelet	wavelet	NOUN
dem-1067	19	9	transfer	transfer	NOUN
dem-1067	19	10	function	function	NOUN
dem-1067	19	11	model	model	NOUN
dem-1067	19	12	and	and	CCONJ
dem-1067	19	13	examine	examine	VERB
dem-1067	19	14	spectral	spectral	ADJ
dem-1067	19	15	characteristics	characteristic	NOUN
dem-1067	19	16	of	of	ADP
dem-1067	19	17	the	the	DET
dem-1067	19	18	underlying	underlying	ADJ
dem-1067	19	19	bivariate	bivariate	ADJ
dem-1067	19	20	process	process	NOUN
dem-1067	19	21	,	,	PUNCT
dem-1067	19	22	while	while	SCONJ
dem-1067	19	23	in	in	ADP
dem-1067	19	24	section	section	NOUN
dem-1067	19	25	2	2	NUM
dem-1067	19	26	the	the	DET
dem-1067	19	27	concept	concept	NOUN
dem-1067	19	28	is	be	AUX
dem-1067	19	29	confronted	confront	VERB
dem-1067	19	30	with	with	ADP
dem-1067	19	31	some	some	DET
dem-1067	19	32	empirical	empirical	ADJ
dem-1067	19	33	data	datum	NOUN
dem-1067	19	34	.	.	PUNCT
dem-1067	20	1	in	in	ADP
dem-1067	20	2	the	the	DET
dem-1067	20	3	empirical	empirical	ADJ
dem-1067	20	4	study	study	NOUN
dem-1067	20	5	returns	return	NOUN
dem-1067	20	6	on	on	ADP
dem-1067	20	7	wig	wig	NOUN
dem-1067	20	8	are	be	AUX
dem-1067	20	9	modelled	model	VERB
dem-1067	20	10	with	with	ADP
dem-1067	20	11	the	the	DET
dem-1067	20	12	help	help	NOUN
dem-1067	20	13	of	of	ADP
dem-1067	20	14	returns	return	NOUN
dem-1067	20	15	on	on	ADP
dem-1067	20	16	s&p	s&p	PROPN
dem-1067	20	17	500	500	NUM
dem-1067	20	18	and	and	CCONJ
dem-1067	20	19	the	the	DET
dem-1067	20	20	wavelet	wavelet	NOUN
dem-1067	20	21	as	as	ADV
dem-1067	20	22	well	well	ADV
dem-1067	20	23	as	as	ADP
dem-1067	20	24	conventional	conventional	ADJ
dem-1067	20	25	transfer	transfer	NOUN
dem-1067	20	26	function	function	NOUN
dem-1067	20	27	models	model	NOUN
dem-1067	20	28	are	be	AUX
dem-1067	20	29	used	use	VERB
dem-1067	20	30	further	far	ADV
dem-1067	20	31	for	for	ADP
dem-1067	20	32	forecasting	forecasting	NOUN
dem-1067	20	33	purposes	purpose	NOUN
dem-1067	20	34	.	.	PUNCT
dem-1067	21	1	the	the	DET
dem-1067	21	2	last	last	ADJ
dem-1067	21	3	section	section	NOUN
dem-1067	21	4	offers	offer	VERB
dem-1067	21	5	brief	brief	ADJ
dem-1067	21	6	conclusions	conclusion	NOUN
dem-1067	21	7	.	.	PUNCT
dem-1067	22	1	1	1	X
dem-1067	22	2	.	.	X
dem-1067	22	3	the	the	DET
dem-1067	22	4	haar	haar	PROPN
dem-1067	22	5	wavelet	wavelet	NOUN
dem-1067	22	6	transfer	transfer	NOUN
dem-1067	22	7	function	function	NOUN
dem-1067	22	8	model	model	NOUN
dem-1067	22	9	let	let	VERB
dem-1067	22	10	us	we	PRON
dem-1067	22	11	consider	consider	VERB
dem-1067	22	12	modelling	model	VERB
dem-1067	22	13	a	a	DET
dem-1067	22	14	response	response	NOUN
dem-1067	22	15	variable	variable	NOUN
dem-1067	22	16	ty	ty	NOUN
dem-1067	22	17	in	in	ADP
dem-1067	22	18	terms	term	NOUN
dem-1067	22	19	of	of	ADP
dem-1067	22	20	the	the	DET
dem-1067	22	21	present	present	ADJ
dem-1067	22	22	and	and	CCONJ
dem-1067	22	23	previous	previous	ADJ
dem-1067	22	24	values	value	NOUN
dem-1067	22	25	of	of	ADP
dem-1067	22	26	an	an	DET
dem-1067	22	27	explanatory	explanatory	ADJ
dem-1067	22	28	variable	variable	NOUN
dem-1067	22	29	tx	tx	PROPN
dem-1067	22	30	.	.	PUNCT
dem-1067	23	1	we	we	PRON
dem-1067	23	2	assume	assume	VERB
dem-1067	23	3	for	for	ADP
dem-1067	23	4	the	the	DET
dem-1067	23	5	moment	moment	NOUN
dem-1067	23	6	that	that	SCONJ
dem-1067	23	7	the	the	DET
dem-1067	23	8	processes	process	NOUN
dem-1067	23	9	have	have	AUX
dem-1067	23	10	the	the	DET
dem-1067	23	11	mean	mean	ADJ
dem-1067	23	12	values	value	NOUN
dem-1067	23	13	of	of	ADP
dem-1067	23	14	zero	zero	NUM
dem-1067	23	15	.	.	PUNCT
dem-1067	24	1	we	we	PRON
dem-1067	24	2	start	start	VERB
dem-1067	24	3	with	with	ADP
dem-1067	24	4	a	a	DET
dem-1067	24	5	construction	construction	NOUN
dem-1067	24	6	utilising	utilise	VERB
dem-1067	24	7	the	the	DET
dem-1067	24	8	haar	haar	NOUN
dem-1067	24	9	wavelet	wavelet	NOUN
dem-1067	24	10	and	and	CCONJ
dem-1067	24	11	scaling	scale	VERB
dem-1067	24	12	coefficients	coefficient	NOUN
dem-1067	24	13	and	and	CCONJ
dem-1067	24	14	comment	comment	VERB
dem-1067	24	15	further	far	ADV
dem-1067	24	16	on	on	ADP
dem-1067	24	17	possible	possible	ADJ
dem-1067	24	18	generalisations	generalisation	NOUN
dem-1067	24	19	including	include	VERB
dem-1067	24	20	the	the	DET
dem-1067	24	21	wavelet	wavelet	NOUN
dem-1067	24	22	packet	packet	NOUN
dem-1067	24	23	transfer	transfer	NOUN
dem-1067	24	24	function	function	NOUN
dem-1067	24	25	modelling	modelling	NOUN
dem-1067	24	26	.	.	PUNCT
dem-1067	25	1	using	use	VERB
dem-1067	25	2	the	the	DET
dem-1067	25	3	haar	haar	NOUN
dem-1067	25	4	scaling	scaling	NOUN
dem-1067	25	5	and	and	CCONJ
dem-1067	25	6	wavelet	wavelet	NOUN
dem-1067	25	7	filters	filter	NOUN
dem-1067	25	8	we	we	PRON
dem-1067	25	9	have2	have2	VERB
dem-1067	25	10	:	:	PUNCT
dem-1067	25	11	1	1	NUM
dem-1067	25	12	2	2	NUM
dem-1067	25	13	x	x	SYM
dem-1067	25	14	x	x	PUNCT
dem-1067	25	15	x	x	PUNCT
dem-1067	25	16	x	x	SYM
dem-1067	25	17	t	t	NOUN
dem-1067	25	18	kt	kt	PROPN
dem-1067	25	19	t	t	PROPN
dem-1067	25	20	t	t	PROPN
dem-1067	25	21	ktx	ktx	PROPN
dem-1067	25	22	v	v	PROPN
dem-1067	25	23	w	w	PROPN
dem-1067	25	24	w	w	PROPN
dem-1067	25	25	w	w	PROPN
dem-1067	25	26			ADV
dem-1067	25	27			VERB
dem-1067	25	28			PUNCT
dem-1067	25	29			NOUN
dem-1067	25	30			PROPN
dem-1067	25	31			PROPN
dem-1067	25	32			PROPN
dem-1067	25	33	,	,	PUNCT
dem-1067	25	34	where	where	SCONJ
dem-1067	25	35	]	]	PUNCT
dem-1067	25	36	[	[	X
dem-1067	25	37	log	log	NOUN
dem-1067	25	38	2	2	NUM
dem-1067	25	39	nk	nk	PROPN
dem-1067	25	40			PROPN
dem-1067	25	41	and	and	CCONJ
dem-1067	25	42	the	the	DET
dem-1067	25	43	modwt	modwt	NOUN
dem-1067	25	44	scaling	scale	VERB
dem-1067	25	45	and	and	CCONJ
dem-1067	25	46	wavelet	wavelet	NOUN
dem-1067	25	47	coefficients	coefficient	NOUN
dem-1067	25	48	are	be	AUX
dem-1067	25	49	obtained	obtain	VERB
dem-1067	25	50	via	via	ADP
dem-1067	25	51	the	the	DET
dem-1067	25	52	following	follow	VERB
dem-1067	25	53	recursive	recursive	ADJ
dem-1067	25	54	formulas	formula	NOUN
dem-1067	25	55	:	:	PUNCT
dem-1067	25	56	1	1	NUM
dem-1067	25	57	1	1	NUM
dem-1067	25	58	1	1	NUM
dem-1067	25	59	1	1	NUM
dem-1067	25	60	1	1	NUM
dem-1067	25	61	1	1	NUM
dem-1067	25	62	2	2	NUM
dem-1067	25	63	1	1	NUM
dem-1067	25	64	1	1	NUM
dem-1067	25	65	,	,	PUNCT
dem-1067	25	66	2	2	NUM
dem-1067	25	67	2	2	NUM
dem-1067	25	68	1	1	NUM
dem-1067	25	69	1	1	NUM
dem-1067	25	70	,	,	PUNCT
dem-1067	25	71	2	2	NUM
dem-1067	25	72	1	1	NUM
dem-1067	25	73	,	,	PUNCT
dem-1067	25	74	1,1	1,1	NUM
dem-1067	25	75	,	,	PUNCT
dem-1067	25	76	2	2	NUM
dem-1067	25	77	1	1	NUM
dem-1067	25	78	,	,	PUNCT
dem-1067	25	79	2	2	NUM
dem-1067	25	80	0.5	0.5	NUM
dem-1067	25	81	(	(	PUNCT
dem-1067	25	82	)	)	PUNCT
dem-1067	25	83	;	;	PUNCT
dem-1067	25	84	0.5	0.5	NUM
dem-1067	25	85	(	(	PUNCT
dem-1067	25	86	)	)	PUNCT
dem-1067	25	87	;	;	PUNCT
dem-1067	25	88	0.5	0.5	NUM
dem-1067	25	89	(	(	PUNCT
dem-1067	25	90	)	)	PUNCT
dem-1067	25	91	;	;	PUNCT
dem-1067	25	92	0.5	0.5	NUM
dem-1067	25	93	(	(	PUNCT
dem-1067	25	94	)	)	PUNCT
dem-1067	25	95	;	;	PUNCT
dem-1067	25	96	0.5	0.5	NUM
dem-1067	25	97	(	(	PUNCT
dem-1067	25	98	)	)	PUNCT
dem-1067	25	99	;	;	PUNCT
dem-1067	25	100	0.5	0.5	NUM
dem-1067	25	101	(	(	PUNCT
dem-1067	25	102	)	)	PUNCT
dem-1067	25	103	.k	.k	PROPN
dem-1067	26	1	k	k	X
dem-1067	27	1	x	x	PUNCT
dem-1067	27	2	x	x	SYM
dem-1067	27	3	t	t	NOUN
dem-1067	27	4	t	t	PROPN
dem-1067	27	5	t	t	PROPN
dem-1067	27	6	t	t	PROPN
dem-1067	27	7	t	t	PROPN
dem-1067	27	8	t	t	NOUN
dem-1067	27	9	x	x	PUNCT
dem-1067	27	10	x	x	PUNCT
dem-1067	27	11	x	x	PUNCT
dem-1067	27	12	x	x	PUNCT
dem-1067	27	13	x	x	SYM
dem-1067	27	14	x	x	SYM
dem-1067	27	15	t	t	NOUN
dem-1067	27	16	t	t	PROPN
dem-1067	27	17	t	t	PROPN
dem-1067	27	18	t	t	PROPN
dem-1067	27	19	t	t	PROPN
dem-1067	27	20	t	t	NOUN
dem-1067	27	21	x	x	PUNCT
dem-1067	27	22	x	x	PUNCT
dem-1067	27	23	x	x	PUNCT
dem-1067	27	24	x	x	PUNCT
dem-1067	27	25	x	x	PUNCT
dem-1067	27	26	x	x	X
dem-1067	27	27	kt	kt	PROPN
dem-1067	27	28	k	k	PROPN
dem-1067	27	29	t	t	PROPN
dem-1067	27	30	kt	kt	PROPN
dem-1067	27	31	k	k	PROPN
dem-1067	27	32	tk	tk	PROPN
dem-1067	28	1	t	t	PROPN
dem-1067	28	2	k	k	PROPN
dem-1067	29	1	t	t	PROPN
dem-1067	29	2	v	v	NOUN
dem-1067	29	3	x	x	X
dem-1067	29	4	x	x	X
dem-1067	29	5	w	w	NOUN
dem-1067	29	6	x	x	SYM
dem-1067	29	7	x	x	SYM
dem-1067	29	8	v	v	ADP
dem-1067	29	9	v	v	NUM
dem-1067	29	10	v	v	NOUN
dem-1067	29	11	w	w	NOUN
dem-1067	29	12	v	v	ADP
dem-1067	29	13	v	v	NUM
dem-1067	29	14	v	v	NUM
dem-1067	29	15	v	v	NUM
dem-1067	29	16	v	v	NOUN
dem-1067	29	17	w	w	NOUN
dem-1067	29	18	v	v	NOUN
dem-1067	29	19	v	v	NOUN
dem-1067	29	20			PROPN
dem-1067	29	21			PROPN
dem-1067	29	22			PROPN
dem-1067	29	23			PROPN
dem-1067	29	24			PROPN
dem-1067	29	25			NOUN
dem-1067	29	26			PUNCT
dem-1067	29	27			PROPN
dem-1067	29	28			PROPN
dem-1067	29	29			PROPN
dem-1067	29	30			PRON
dem-1067	29	31			PUNCT
dem-1067	29	32			NUM
dem-1067	29	33			PROPN
dem-1067	29	34			PRON
dem-1067	29	35			PUNCT
dem-1067	29	36			NUM
dem-1067	29	37			PROPN
dem-1067	29	38			PRON
dem-1067	29	39			PUNCT
dem-1067	29	40			NUM
dem-1067	29	41			PROPN
dem-1067	29	42			PROPN
dem-1067	29	43			PROPN
dem-1067	29	44			PROPN
dem-1067	29	45			PROPN
dem-1067	29	46			PROPN
dem-1067	29	47			PROPN
dem-1067	29	48			PROPN
dem-1067	29	49			PROPN
dem-1067	29	50			NOUN
dem-1067	29	51			NOUN
dem-1067	29	52			NOUN
dem-1067	29	53			PROPN
dem-1067	29	54			PROPN
dem-1067	29	55			PROPN
dem-1067	29	56			X
dem-1067	29	57	2	2	NUM
dem-1067	29	58	the	the	DET
dem-1067	29	59	level	level	NOUN
dem-1067	29	60	j	j	PROPN
dem-1067	29	61	haar	haar	VERB
dem-1067	29	62	scaling	scaling	NOUN
dem-1067	29	63	and	and	CCONJ
dem-1067	29	64	wavelet	wavelet	NOUN
dem-1067	29	65	filters	filter	NOUN
dem-1067	29	66	are	be	AUX
dem-1067	29	67	obtained	obtain	VERB
dem-1067	29	68	via	via	ADP
dem-1067	29	69	the	the	DET
dem-1067	29	70	formulas	formula	NOUN
dem-1067	29	71	:	:	PUNCT
dem-1067	29	72			NOUN
dem-1067	29	73	jj	jj	VERB
dem-1067	29	74	l	l	NOUN
dem-1067	29	75	jlg	jlg	NOUN
dem-1067	29	76	22	22	NUM
dem-1067	29	77	1~	1~	NUM
dem-1067	29	78			NOUN
dem-1067	29	79	,	,	PUNCT
dem-1067	29	80			NOUN
dem-1067	29	81	jj	jj	VERB
dem-1067	29	82	l	l	NOUN
dem-1067	29	83	jlh	jlh	PROPN
dem-1067	29	84	22	22	NUM
dem-1067	29	85	1~	1~	NUM
dem-1067	29	86			NOUN
dem-1067	29	87	,	,	PUNCT
dem-1067	29	88	12	12	NUM
dem-1067	29	89	...	...	PUNCT
dem-1067	29	90	,,0	,,0	PUNCT
dem-1067	29	91			ADJ
dem-1067	29	92	jl	jl	NOUN
dem-1067	29	93	,	,	PUNCT
dem-1067	29	94	where	where	SCONJ
dem-1067	29	95	)	)	PUNCT
dem-1067	29	96	(	(	PUNCT
dem-1067	29	97			PROPN
dem-1067	29	98	and	and	CCONJ
dem-1067	29	99	)	)	PUNCT
dem-1067	29	100	(	(	PUNCT
dem-1067	29	101			NUM
dem-1067	29	102	are	be	AUX
dem-1067	29	103	the	the	DET
dem-1067	29	104	haar	haar	NOUN
dem-1067	29	105	scaling	scaling	NOUN
dem-1067	29	106	and	and	CCONJ
dem-1067	29	107	wavelet	wavelet	NOUN
dem-1067	29	108	functions	function	NOUN
dem-1067	29	109	defined	define	VERB
dem-1067	29	110	as	as	ADP
dem-1067	29	111	)	)	PUNCT
dem-1067	29	112	(	(	PUNCT
dem-1067	29	113	)	)	PUNCT
dem-1067	29	114	(	(	PUNCT
dem-1067	29	115	)	)	PUNCT
dem-1067	29	116	1,0	1,0	NUM
dem-1067	29	117	xx	xx	NUM
dem-1067	29	118			NUM
dem-1067	29	119	1	1	NUM
dem-1067	29	120	and	and	CCONJ
dem-1067	29	121	)	)	PUNCT
dem-1067	29	122	(	(	PUNCT
dem-1067	29	123	)	)	PUNCT
dem-1067	29	124	(	(	PUNCT
dem-1067	29	125	)	)	PUNCT
dem-1067	29	126	(	(	PUNCT
dem-1067	29	127	)	)	PUNCT
dem-1067	29	128	1,2/1)2/1,0	1,2/1)2/1,0	NUM
dem-1067	29	129	xxx	xxx	X
dem-1067	29	130			NUM
dem-1067	29	131			ADJ
dem-1067	29	132	11	11	PROPN
dem-1067	29	133	,	,	PUNCT
dem-1067	29	134	respectively	respectively	ADV
dem-1067	29	135	.	.	PUNCT
dem-1067	30	1	the	the	DET
dem-1067	30	2	haar	haar	PROPN
dem-1067	30	3	wavelet	wavelet	NOUN
dem-1067	30	4	transfer	transfer	NOUN
dem-1067	30	5	function	function	NOUN
dem-1067	30	6	model	model	NOUN
dem-1067	30	7	and	and	CCONJ
dem-1067	30	8	its	its	PRON
dem-1067	30	9	applications	application	NOUN
dem-1067	30	10	143	143	VERB
dem-1067	30	11	our	our	PRON
dem-1067	30	12	proposal	proposal	NOUN
dem-1067	30	13	consists	consist	VERB
dem-1067	30	14	in	in	ADP
dem-1067	30	15	using	use	VERB
dem-1067	30	16	the	the	DET
dem-1067	30	17	following	follow	VERB
dem-1067	30	18	model	model	NOUN
dem-1067	30	19	to	to	ADP
dem-1067	30	20	describing	describe	VERB
dem-1067	30	21	ty	ty	PRON
dem-1067	30	22	in	in	ADP
dem-1067	30	23	terms	term	NOUN
dem-1067	30	24	of	of	ADP
dem-1067	30	25	tx	tx	PROPN
dem-1067	30	26	:	:	PUNCT
dem-1067	30	27	0	0	NUM
dem-1067	30	28	1	1	NUM
dem-1067	30	29	20	20	NUM
dem-1067	30	30	,	,	PUNCT
dem-1067	30	31	1	1	NUM
dem-1067	30	32	1	1	NUM
dem-1067	30	33	,	,	PUNCT
dem-1067	30	34	2	2	NUM
dem-1067	30	35	2	2	NUM
dem-1067	30	36	,	,	PUNCT
dem-1067	30	37	,	,	PUNCT
dem-1067	30	38	k	k	PROPN
dem-1067	30	39	x	x	PUNCT
dem-1067	30	40	x	x	PUNCT
dem-1067	30	41	x	x	PUNCT
dem-1067	30	42	x	x	SYM
dem-1067	30	43	t	t	X
dem-1067	30	44	k	k	PROPN
dem-1067	30	45	t	t	PROPN
dem-1067	30	46	t	t	PROPN
dem-1067	30	47	t	t	PROPN
dem-1067	30	48	k	k	PROPN
dem-1067	30	49	k	k	PROPN
dem-1067	30	50	t	t	PROPN
dem-1067	31	1	ty	ty	INTJ
dem-1067	31	2	v	v	PROPN
dem-1067	31	3	w	w	PROPN
dem-1067	31	4	w	w	PROPN
dem-1067	31	5	w	w	PROPN
dem-1067	31	6			NOUN
dem-1067	31	7			NOUN
dem-1067	31	8			ADJ
dem-1067	31	9			PROPN
dem-1067	31	10			PROPN
dem-1067	31	11			PROPN
dem-1067	31	12			ADP
dem-1067	31	13			PROPN
dem-1067	31	14			PROPN
dem-1067	31	15			PROPN
dem-1067	31	16			PUNCT
dem-1067	31	17			PROPN
dem-1067	31	18			PUNCT
dem-1067	31	19			NOUN
dem-1067	31	20			PROPN
dem-1067	31	21			PROPN
dem-1067	31	22			PROPN
dem-1067	31	23	,	,	PUNCT
dem-1067	31	24	(	(	PUNCT
dem-1067	31	25	1	1	X
dem-1067	31	26	)	)	PUNCT
dem-1067	31	27	where	where	SCONJ
dem-1067	31	28	k	k	PROPN
dem-1067	31	29	,	,	PUNCT
dem-1067	31	30	,	,	PUNCT
dem-1067	31	31	,	,	PUNCT
dem-1067	31	32	10	10	NUM
dem-1067	31	33			NUM
dem-1067	31	34	are	be	AUX
dem-1067	31	35	nonnegative	nonnegative	ADJ
dem-1067	31	36	integers	integer	NOUN
dem-1067	31	37	and	and	CCONJ
dem-1067	31	38	it	it	PRON
dem-1067	31	39	is	be	AUX
dem-1067	31	40	assumed	assume	VERB
dem-1067	31	41	that	that	SCONJ
dem-1067	31	42	t	t	PRON
dem-1067	31	43	is	be	AUX
dem-1067	31	44	strictly	strictly	ADV
dem-1067	31	45	exogenous	exogenous	ADJ
dem-1067	31	46	for	for	ADP
dem-1067	31	47	the	the	DET
dem-1067	31	48	regressors	regressor	NOUN
dem-1067	31	49	in	in	ADP
dem-1067	31	50	(	(	PUNCT
dem-1067	31	51	1	1	NUM
dem-1067	31	52	)	)	PUNCT
dem-1067	31	53	.	.	PUNCT
dem-1067	32	1	the	the	DET
dem-1067	32	2	model	model	NOUN
dem-1067	32	3	enables	enable	VERB
dem-1067	32	4	to	to	PART
dem-1067	32	5	possibly	possibly	ADV
dem-1067	32	6	parsimoniously	parsimoniously	ADV
dem-1067	32	7	parametrise	parametrise	VERB
dem-1067	32	8	an	an	DET
dem-1067	32	9	autoregressive	autoregressive	ADJ
dem-1067	32	10	distributed	distribute	VERB
dem-1067	32	11	lag	lag	NOUN
dem-1067	32	12	(	(	PUNCT
dem-1067	32	13	adl	adl	NOUN
dem-1067	32	14	)	)	PUNCT
dem-1067	32	15	model	model	NOUN
dem-1067	32	16	,	,	PUNCT
dem-1067	32	17	when	when	SCONJ
dem-1067	32	18	the	the	DET
dem-1067	32	19	regression	regression	NOUN
dem-1067	32	20	parameter	parameter	NOUN
dem-1067	32	21	and	and	CCONJ
dem-1067	32	22	(	(	PUNCT
dem-1067	32	23	or	or	CCONJ
dem-1067	32	24	)	)	PUNCT
dem-1067	32	25	the	the	DET
dem-1067	32	26	time	time	NOUN
dem-1067	32	27	delay	delay	NOUN
dem-1067	32	28	is	be	AUX
dem-1067	32	29	scale	scale	NOUN
dem-1067	32	30	-	-	PUNCT
dem-1067	32	31	dependent	dependent	ADJ
dem-1067	32	32	.	.	PUNCT
dem-1067	33	1	furthermore	furthermore	ADV
dem-1067	33	2	,	,	PUNCT
dem-1067	33	3	the	the	DET
dem-1067	33	4	model	model	NOUN
dem-1067	33	5	provides	provide	VERB
dem-1067	33	6	an	an	DET
dem-1067	33	7	insight	insight	NOUN
dem-1067	33	8	into	into	ADP
dem-1067	33	9	the	the	DET
dem-1067	33	10	frequency	frequency	NOUN
dem-1067	33	11	character	character	NOUN
dem-1067	33	12	of	of	ADP
dem-1067	33	13	the	the	DET
dem-1067	33	14	relationship	relationship	NOUN
dem-1067	33	15	between	between	ADP
dem-1067	33	16	tx	tx	PROPN
dem-1067	33	17	and	and	CCONJ
dem-1067	33	18	ty	ty	INTJ
dem-1067	33	19	,	,	PUNCT
dem-1067	33	20	being	be	AUX
dem-1067	33	21	at	at	ADP
dem-1067	33	22	the	the	DET
dem-1067	33	23	same	same	ADJ
dem-1067	33	24	time	time	NOUN
dem-1067	33	25	a	a	DET
dem-1067	33	26	simple	simple	ADJ
dem-1067	33	27	forecasting	forecasting	NOUN
dem-1067	33	28	instrument3	instrument3	PROPN
dem-1067	33	29	.	.	PUNCT
dem-1067	34	1	let	let	VERB
dem-1067	34	2	the	the	DET
dem-1067	34	3	bivariate	bivariate	ADJ
dem-1067	34	4	process	process	NOUN
dem-1067	34	5	)	)	PUNCT
dem-1067	34	6	,	,	PUNCT
dem-1067	34	7	(	(	PUNCT
dem-1067	34	8	tt	tt	PROPN
dem-1067	34	9	yx	yx	PROPN
dem-1067	34	10	defined	define	VERB
dem-1067	34	11	via	via	ADP
dem-1067	34	12	equation	equation	NOUN
dem-1067	34	13	(	(	PUNCT
dem-1067	34	14	1	1	X
dem-1067	34	15	)	)	PUNCT
dem-1067	34	16	be	be	AUX
dem-1067	34	17	covariance	covariance	NOUN
dem-1067	34	18	stationary	stationary	ADJ
dem-1067	34	19	with	with	ADP
dem-1067	34	20	an	an	DET
dem-1067	34	21	absolute	absolute	ADJ
dem-1067	34	22	summable	summable	ADJ
dem-1067	34	23	autocovariance	autocovariance	NOUN
dem-1067	34	24	matrix	matrix	NOUN
dem-1067	34	25	.	.	PUNCT
dem-1067	35	1	then	then	ADV
dem-1067	35	2	,	,	PUNCT
dem-1067	35	3	its	its	PRON
dem-1067	35	4	crosscovariance	crosscovariance	NOUN
dem-1067	35	5	function	function	NOUN
dem-1067	35	6	has	have	VERB
dem-1067	35	7	the	the	DET
dem-1067	35	8	form	form	NOUN
dem-1067	35	9	:	:	PUNCT
dem-1067	35	10			NOUN
dem-1067	35	11			NOUN
dem-1067	35	12			PROPN
dem-1067	35	13	0	0	NUM
dem-1067	35	14	1	1	NUM
dem-1067	35	15	1	1	NUM
dem-1067	35	16	2	2	NUM
dem-1067	35	17	2	2	NUM
dem-1067	35	18	1	1	NUM
dem-1067	35	19	1	1	NUM
dem-1067	35	20	2	2	NUM
dem-1067	35	21	1	1	NUM
dem-1067	35	22	0	0	NUM
dem-1067	35	23	0	0	NUM
dem-1067	35	24	1	1	NUM
dem-1067	35	25	3	3	NUM
dem-1067	35	26	1	1	NUM
dem-1067	35	27	1	1	NUM
dem-1067	35	28	2	2	NUM
dem-1067	35	29	0	0	NUM
dem-1067	35	30	2	2	NUM
dem-1067	35	31	2	2	NUM
dem-1067	35	32	1	1	NUM
dem-1067	35	33	2	2	NUM
dem-1067	35	34	1	1	NUM
dem-1067	35	35	0	0	NUM
dem-1067	35	36	2	2	NUM
dem-1067	35	37	(	(	PUNCT
dem-1067	35	38	)	)	PUNCT
dem-1067	35	39	1	1	NUM
dem-1067	35	40	2	2	NUM
dem-1067	35	41	1	1	NUM
dem-1067	35	42	2	2	NUM
dem-1067	35	43	1	1	NUM
dem-1067	35	44	4	4	NUM
dem-1067	35	45	1	1	NUM
dem-1067	35	46	2	2	NUM
dem-1067	36	1	k	k	NOUN
dem-1067	36	2	k	k	PROPN
dem-1067	37	1	k	k	PROPN
dem-1067	38	1	k	k	PROPN
dem-1067	39	1	k	k	PROPN
dem-1067	40	1	k	k	PROPN
dem-1067	40	2	k	k	PROPN
dem-1067	41	1	xy	xy	PROPN
dem-1067	41	2	t	t	PROPN
dem-1067	41	3	t	t	PROPN
dem-1067	41	4	t	t	PROPN
dem-1067	41	5	t	t	PROPN
dem-1067	42	1	j	j	PROPN
dem-1067	42	2	j	j	PROPN
dem-1067	42	3	t	t	PROPN
dem-1067	42	4	t	t	PROPN
dem-1067	42	5	t	t	PROPN
dem-1067	42	6	t	t	PROPN
dem-1067	42	7	t	t	PROPN
dem-1067	42	8	j	j	PROPN
dem-1067	42	9	t	t	PROPN
dem-1067	42	10	j	j	PROPN
dem-1067	43	1	j	j	PROPN
dem-1067	43	2	j	j	PROPN
dem-1067	44	1	k	k	PROPN
dem-1067	44	2	k	k	PROPN
dem-1067	44	3	t	t	PROPN
dem-1067	44	4	t	t	PROPN
dem-1067	45	1	j	j	PROPN
dem-1067	45	2	t	t	PROPN
dem-1067	45	3	j	j	PROPN
dem-1067	46	1	j	j	PROPN
dem-1067	46	2	j	j	PROPN
dem-1067	46	3	ex	ex	X
dem-1067	46	4	y	y	PROPN
dem-1067	46	5	e	e	NOUN
dem-1067	46	6	x	x	PUNCT
dem-1067	46	7	x	x	X
dem-1067	46	8	e	e	X
dem-1067	46	9	x	x	PUNCT
dem-1067	46	10	x	x	PUNCT
dem-1067	46	11	x	x	PUNCT
dem-1067	46	12	e	e	NOUN
dem-1067	46	13	x	x	PUNCT
dem-1067	46	14	x	x	PUNCT
dem-1067	46	15	x	x	PUNCT
dem-1067	46	16	e	e	NOUN
dem-1067	46	17	x	x	PUNCT
dem-1067	46	18	x	x	X
dem-1067	46	19	x	x	PRON
dem-1067	46	20			NOUN
dem-1067	46	21			NOUN
dem-1067	46	22			NOUN
dem-1067	46	23			NOUN
dem-1067	46	24			NOUN
dem-1067	46	25			NOUN
dem-1067	46	26			NOUN
dem-1067	46	27			NOUN
dem-1067	46	28			NOUN
dem-1067	46	29			NOUN
dem-1067	46	30			NOUN
dem-1067	46	31			NOUN
dem-1067	46	32			NOUN
dem-1067	46	33			NOUN
dem-1067	46	34			NOUN
dem-1067	46	35			PROPN
dem-1067	46	36			PROPN
dem-1067	46	37			PROPN
dem-1067	46	38			PROPN
dem-1067	46	39			PROPN
dem-1067	46	40			PROPN
dem-1067	46	41			PROPN
dem-1067	46	42			PROPN
dem-1067	46	43			PROPN
dem-1067	46	44			PUNCT
dem-1067	46	45			PROPN
dem-1067	46	46			VERB
dem-1067	46	47			PROPN
dem-1067	46	48			PROPN
dem-1067	46	49			PROPN
dem-1067	46	50			ADV
dem-1067	46	51			PROPN
dem-1067	46	52			PUNCT
dem-1067	46	53			PROPN
dem-1067	46	54			PROPN
dem-1067	46	55			PUNCT
dem-1067	46	56			PROPN
dem-1067	46	57			PROPN
dem-1067	46	58			VERB
dem-1067	46	59			PROPN
dem-1067	46	60			PROPN
dem-1067	46	61			PROPN
dem-1067	46	62			PROPN
dem-1067	46	63			PROPN
dem-1067	46	64			PROPN
dem-1067	46	65			PUNCT
dem-1067	46	66			PROPN
dem-1067	46	67			PROPN
dem-1067	46	68			VERB
dem-1067	46	69			VERB
dem-1067	46	70			ADV
dem-1067	46	71			NOUN
dem-1067	46	72			ADP
dem-1067	46	73			PROPN
dem-1067	46	74			PROPN
dem-1067	46	75			PRON
dem-1067	46	76			NOUN
dem-1067	46	77			PROPN
dem-1067	46	78			NUM
dem-1067	46	79			PROPN
dem-1067	46	80			PROPN
dem-1067	46	81			ADP
dem-1067	46	82			NOUN
dem-1067	46	83			NOUN
dem-1067	46	84			VERB
dem-1067	46	85			PROPN
dem-1067	46	86			SYM
dem-1067	46	87			NOUN
dem-1067	46	88			NOUN
dem-1067	47	1			PROPN
dem-1067	47	2			NUM
dem-1067	47	3			PROPN
dem-1067	47	4			PROPN
dem-1067	47	5			X
dem-1067	47	6			ADP
dem-1067	47	7			NOUN
dem-1067	47	8			VERB
dem-1067	47	9			VERB
dem-1067	47	10			ADJ
dem-1067	47	11			NOUN
dem-1067	47	12			CCONJ
dem-1067	47	13			PROPN
dem-1067	47	14			PUNCT
dem-1067	47	15			SYM
dem-1067	47	16			NOUN
dem-1067	47	17			PROPN
dem-1067	47	18			PROPN
dem-1067	47	19			PRON
dem-1067	47	20			X
dem-1067	47	21			X
dem-1067	47	22			X
dem-1067	47	23			X
dem-1067	47	24			X
dem-1067	47	25			PROPN
dem-1067	47	26			PROPN
dem-1067	47	27	1	1	NUM
dem-1067	47	28	1	1	NUM
dem-1067	47	29	2	2	NUM
dem-1067	47	30	1	1	NUM
dem-1067	47	31	0	0	NUM
dem-1067	47	32	0	0	NUM
dem-1067	47	33	1	1	NUM
dem-1067	47	34	1	1	NUM
dem-1067	47	35	1	1	NUM
dem-1067	47	36	0	0	NUM
dem-1067	47	37	1	1	NUM
dem-1067	47	38	3	3	NUM
dem-1067	47	39	2	2	NUM
dem-1067	47	40	2	2	NUM
dem-1067	47	41	2	2	NUM
dem-1067	47	42	0	0	NUM
dem-1067	47	43	2	2	NUM
dem-1067	47	44	2	2	NUM
dem-1067	47	45	1	1	NUM
dem-1067	47	46	2	2	NUM
dem-1067	47	47	1	1	NUM
dem-1067	47	48	0	0	NUM
dem-1067	47	49	2	2	NUM
dem-1067	47	50	2	2	NUM
dem-1067	47	51	(	(	PUNCT
dem-1067	47	52	)	)	PUNCT
dem-1067	47	53	2	2	NUM
dem-1067	47	54	(	(	PUNCT
dem-1067	47	55	)	)	PUNCT
dem-1067	47	56	(	(	PUNCT
dem-1067	47	57	1	1	X
dem-1067	47	58	)	)	PUNCT
dem-1067	47	59	4	4	NUM
dem-1067	47	60	(	(	PUNCT
dem-1067	47	61	)	)	PUNCT
dem-1067	47	62	(	(	PUNCT
dem-1067	47	63	)	)	PUNCT
dem-1067	47	64	2	2	NUM
dem-1067	47	65	(	(	PUNCT
dem-1067	47	66	)	)	PUNCT
dem-1067	47	67	(	(	PUNCT
dem-1067	47	68	)	)	PUNCT
dem-1067	47	69	,	,	PUNCT
dem-1067	48	1	k	k	PROPN
dem-1067	49	1	k	k	PROPN
dem-1067	50	1	k	k	PROPN
dem-1067	51	1	k	k	PROPN
dem-1067	51	2	k	k	PUNCT
dem-1067	52	1	x	x	PUNCT
dem-1067	52	2	x	x	PUNCT
dem-1067	52	3	x	x	X
dem-1067	52	4	j	j	NOUN
dem-1067	52	5	x	x	X
dem-1067	52	6	x	x	X
dem-1067	53	1	j	j	PROPN
dem-1067	53	2	j	j	PROPN
dem-1067	53	3	k	k	PROPN
dem-1067	54	1	k	k	PROPN
dem-1067	55	1	x	x	PUNCT
dem-1067	55	2	k	k	NOUN
dem-1067	55	3	x	x	X
dem-1067	56	1	k	k	PROPN
dem-1067	56	2	j	j	PROPN
dem-1067	56	3	j	j	PROPN
dem-1067	56	4	j	j	PROPN
dem-1067	56	5	j	j	PROPN
dem-1067	56	6	j	j	PROPN
dem-1067	56	7	j	j	PROPN
dem-1067	56	8	j	j	PROPN
dem-1067	56	9			PROPN
dem-1067	56	10			NUM
dem-1067	56	11			PROPN
dem-1067	56	12			PROPN
dem-1067	56	13			PROPN
dem-1067	56	14			NUM
dem-1067	56	15			PROPN
dem-1067	56	16			PROPN
dem-1067	56	17			PROPN
dem-1067	56	18			PROPN
dem-1067	56	19			PROPN
dem-1067	56	20			PROPN
dem-1067	56	21			NUM
dem-1067	56	22			PROPN
dem-1067	56	23			PROPN
dem-1067	56	24			PROPN
dem-1067	56	25			PROPN
dem-1067	56	26			PROPN
dem-1067	56	27			PROPN
dem-1067	56	28			NUM
dem-1067	56	29			PROPN
dem-1067	56	30			PROPN
dem-1067	56	31			PROPN
dem-1067	56	32			PROPN
dem-1067	56	33			PROPN
dem-1067	56	34			PROPN
dem-1067	56	35			PROPN
dem-1067	56	36			VERB
dem-1067	56	37			NUM
dem-1067	56	38			NUM
dem-1067	56	39			PROPN
dem-1067	56	40			PROPN
dem-1067	56	41			PROPN
dem-1067	56	42			PROPN
dem-1067	56	43			NUM
dem-1067	56	44			PROPN
dem-1067	56	45			PROPN
dem-1067	56	46			PUNCT
dem-1067	56	47			PROPN
dem-1067	56	48			PROPN
dem-1067	56	49			PROPN
dem-1067	56	50			PROPN
dem-1067	56	51			VERB
dem-1067	56	52			ADP
dem-1067	56	53			PROPN
dem-1067	56	54			PUNCT
dem-1067	56	55			PROPN
dem-1067	56	56			PROPN
dem-1067	56	57			PROPN
dem-1067	56	58			PROPN
dem-1067	56	59			PROPN
dem-1067	56	60			NOUN
dem-1067	56	61			ADJ
dem-1067	56	62			PROPN
dem-1067	56	63			NOUN
dem-1067	56	64			ADV
dem-1067	56	65			PROPN
dem-1067	56	66			VERB
dem-1067	56	67			PROPN
dem-1067	56	68			PROPN
dem-1067	56	69			PROPN
dem-1067	56	70			PROPN
dem-1067	56	71			NOUN
dem-1067	56	72			PROPN
dem-1067	56	73			NUM
dem-1067	56	74			PROPN
dem-1067	56	75			PROPN
dem-1067	56	76			X
dem-1067	56	77			X
dem-1067	56	78			X
dem-1067	56	79			X
dem-1067	56	80			X
dem-1067	56	81			NUM
dem-1067	56	82	while	while	SCONJ
dem-1067	56	83	the	the	DET
dem-1067	56	84	cross	cross	ADJ
dem-1067	56	85	-	-	ADJ
dem-1067	56	86	spectral	spectral	ADJ
dem-1067	56	87	density	density	NOUN
dem-1067	56	88	function	function	NOUN
dem-1067	56	89	is	be	AUX
dem-1067	56	90	as	as	SCONJ
dem-1067	56	91	follows	follow	VERB
dem-1067	56	92	:	:	PUNCT
dem-1067	56	93	3	3	NUM
dem-1067	56	94	applications	application	NOUN
dem-1067	56	95	of	of	ADP
dem-1067	56	96	other	other	ADJ
dem-1067	56	97	types	type	NOUN
dem-1067	56	98	of	of	ADP
dem-1067	56	99	causal	causal	ADJ
dem-1067	56	100	filters	filter	NOUN
dem-1067	56	101	to	to	PART
dem-1067	56	102	examine	examine	VERB
dem-1067	56	103	economic	economic	ADJ
dem-1067	56	104	dependencies	dependency	NOUN
dem-1067	56	105	across	across	ADP
dem-1067	56	106	frequency	frequency	NOUN
dem-1067	56	107	bands	band	NOUN
dem-1067	56	108	can	can	AUX
dem-1067	56	109	be	be	AUX
dem-1067	56	110	found	find	VERB
dem-1067	56	111	in	in	ADP
dem-1067	56	112	stawicki	stawicki	NOUN
dem-1067	56	113	(	(	PUNCT
dem-1067	56	114	1993	1993	NUM
dem-1067	56	115	)	)	PUNCT
dem-1067	56	116	and	and	CCONJ
dem-1067	56	117	ashley	ashley	PROPN
dem-1067	56	118	and	and	CCONJ
dem-1067	56	119	verbrugge	verbrugge	ADV
dem-1067	56	120	(	(	PUNCT
dem-1067	56	121	2008	2008	NUM
dem-1067	56	122	)	)	PUNCT
dem-1067	56	123	.	.	PUNCT
dem-1067	57	1	joanna	joanna	PROPN
dem-1067	57	2	bruzda	bruzda	VERB
dem-1067	57	3	144	144	NUM
dem-1067	57	4	0	0	NUM
dem-1067	57	5	1	1	NUM
dem-1067	57	6	1	1	NUM
dem-1067	57	7	2	2	NUM
dem-1067	57	8	2	2	NUM
dem-1067	57	9	1	1	NUM
dem-1067	57	10	1	1	NUM
dem-1067	57	11	2	2	NUM
dem-1067	57	12	1	1	NUM
dem-1067	57	13	2	2	NUM
dem-1067	57	14	(	(	PUNCT
dem-1067	57	15	)	)	PUNCT
dem-1067	57	16	2	2	NUM
dem-1067	57	17	2	2	NUM
dem-1067	57	18	(	(	PUNCT
dem-1067	57	19	1	1	NUM
dem-1067	57	20	)	)	PUNCT
dem-1067	57	21	0	0	NUM
dem-1067	57	22	1	1	NUM
dem-1067	57	23	0	0	NUM
dem-1067	57	24	1	1	NUM
dem-1067	57	25	3	3	NUM
dem-1067	57	26	2	2	NUM
dem-1067	57	27	(	(	PUNCT
dem-1067	57	28	)	)	PUNCT
dem-1067	57	29	2	2	NUM
dem-1067	57	30	(	(	PUNCT
dem-1067	57	31	)	)	PUNCT
dem-1067	57	32	2	2	NUM
dem-1067	57	33	0	0	NUM
dem-1067	57	34	2	2	NUM
dem-1067	57	35	2	2	NUM
dem-1067	57	36	1	1	NUM
dem-1067	57	37	2	2	NUM
dem-1067	57	38	1	1	NUM
dem-1067	57	39	2	2	NUM
dem-1067	57	40	(	(	PUNCT
dem-1067	57	41	)	)	PUNCT
dem-1067	57	42	2	2	NUM
dem-1067	57	43	(	(	PUNCT
dem-1067	57	44	)	)	PUNCT
dem-1067	57	45	0	0	NUM
dem-1067	57	46	2	2	NUM
dem-1067	57	47	(	(	PUNCT
dem-1067	57	48	)	)	PUNCT
dem-1067	57	49	(	(	PUNCT
dem-1067	57	50	)	)	PUNCT
dem-1067	57	51	2	2	NUM
dem-1067	57	52	2	2	NUM
dem-1067	57	53	4	4	NUM
dem-1067	57	54	2	2	NUM
dem-1067	57	55	.	.	PUNCT
dem-1067	58	1	k	k	PROPN
dem-1067	59	1	k	k	PROPN
dem-1067	60	1	k	k	PROPN
dem-1067	61	1	k	k	PROPN
dem-1067	61	2	k	k	PROPN
dem-1067	62	1	k	k	PROPN
dem-1067	63	1	i	i	PRON
dem-1067	63	2	f	f	PROPN
dem-1067	64	1	j	j	PROPN
dem-1067	65	1	i	i	PRON
dem-1067	65	2	f	f	VERB
dem-1067	66	1	i	i	PRON
dem-1067	66	2	fk	fk	INTJ
dem-1067	66	3	xy	xy	INTJ
dem-1067	67	1	x	x	PUNCT
dem-1067	68	1	j	j	NOUN
dem-1067	69	1	i	i	PRON
dem-1067	69	2	f	f	PROPN
dem-1067	70	1	j	j	PROPN
dem-1067	71	1	i	i	PRON
dem-1067	71	2	f	f	PROPN
dem-1067	72	1	j	j	PROPN
dem-1067	73	1	j	j	PROPN
dem-1067	73	2	j	j	PROPN
dem-1067	74	1	i	i	PRON
dem-1067	74	2	f	f	PROPN
dem-1067	75	1	j	j	PROPN
dem-1067	76	1	i	i	PRON
dem-1067	77	1	f	f	PROPN
dem-1067	77	2	jk	jk	PROPN
dem-1067	77	3	k	k	PROPN
dem-1067	78	1	j	j	PROPN
dem-1067	78	2	j	j	PROPN
dem-1067	78	3	s	s	PROPN
dem-1067	78	4	f	f	PROPN
dem-1067	78	5	s	s	X
dem-1067	78	6	f	f	X
dem-1067	78	7	e	e	X
dem-1067	78	8	e	e	X
dem-1067	78	9	e	e	X
dem-1067	78	10	e	e	X
dem-1067	78	11	e	e	X
dem-1067	78	12	e	e	X
dem-1067	78	13	e	e	PROPN
dem-1067	78	14			PROPN
dem-1067	78	15			NOUN
dem-1067	78	16			ADJ
dem-1067	78	17			NOUN
dem-1067	78	18			ADJ
dem-1067	78	19			NOUN
dem-1067	78	20			ADJ
dem-1067	78	21			NOUN
dem-1067	78	22			ADJ
dem-1067	78	23			NOUN
dem-1067	78	24			ADJ
dem-1067	78	25			NOUN
dem-1067	78	26			NOUN
dem-1067	78	27			NOUN
dem-1067	78	28			PROPN
dem-1067	78	29			PROPN
dem-1067	78	30			PROPN
dem-1067	78	31			PROPN
dem-1067	78	32			PROPN
dem-1067	78	33			PROPN
dem-1067	78	34			PROPN
dem-1067	78	35			PROPN
dem-1067	78	36			PUNCT
dem-1067	78	37			PROPN
dem-1067	78	38			PROPN
dem-1067	78	39			PART
dem-1067	78	40			PROPN
dem-1067	78	41			PROPN
dem-1067	78	42			VERB
dem-1067	78	43			PROPN
dem-1067	78	44			VERB
dem-1067	78	45			PROPN
dem-1067	78	46			PROPN
dem-1067	78	47			PROPN
dem-1067	78	48			PROPN
dem-1067	78	49			PROPN
dem-1067	78	50			PUNCT
dem-1067	78	51			PROPN
dem-1067	78	52			VERB
dem-1067	78	53			PROPN
dem-1067	79	1			ADJ
dem-1067	79	2			PRON
dem-1067	79	3			PROPN
dem-1067	80	1			PROPN
dem-1067	80	2			X
dem-1067	80	3			X
dem-1067	80	4			VERB
dem-1067	80	5			PROPN
dem-1067	80	6			PROPN
dem-1067	80	7			NOUN
dem-1067	80	8			X
dem-1067	80	9			VERB
dem-1067	80	10			PROPN
dem-1067	80	11			NOUN
dem-1067	80	12			PROPN
dem-1067	80	13			PROPN
dem-1067	80	14			PART
dem-1067	80	15			NOUN
dem-1067	80	16			NOUN
dem-1067	80	17			X
dem-1067	80	18			NOUN
dem-1067	80	19			NOUN
dem-1067	80	20			NUM
dem-1067	80	21			X
dem-1067	80	22			X
dem-1067	80	23			X
dem-1067	80	24			X
dem-1067	80	25			X
dem-1067	80	26			NUM
dem-1067	80	27	(	(	PUNCT
dem-1067	80	28	2	2	NUM
dem-1067	80	29	)	)	PUNCT
dem-1067	80	30	alternatively	alternatively	ADV
dem-1067	80	31	,	,	PUNCT
dem-1067	80	32	(	(	PUNCT
dem-1067	80	33	2	2	X
dem-1067	80	34	)	)	PUNCT
dem-1067	80	35	can	can	AUX
dem-1067	80	36	be	be	AUX
dem-1067	80	37	expressed	express	VERB
dem-1067	80	38	as	as	ADP
dem-1067	80	39	:	:	PUNCT
dem-1067	80	40			NOUN
dem-1067	80	41	0	0	VERB
dem-1067	80	42	12	12	NUM
dem-1067	80	43	2	2	NUM
dem-1067	80	44	2	2	NUM
dem-1067	80	45	0	0	NUM
dem-1067	80	46	1	1	NUM
dem-1067	80	47	1	1	NUM
dem-1067	80	48	(	(	PUNCT
dem-1067	80	49	)	)	PUNCT
dem-1067	80	50	(	(	PUNCT
dem-1067	80	51	)	)	PUNCT
dem-1067	80	52	(	(	PUNCT
dem-1067	80	53	)	)	PUNCT
dem-1067	80	54	(	(	PUNCT
dem-1067	80	55	)	)	PUNCT
dem-1067	81	1	(	(	PUNCT
dem-1067	81	2	)	)	PUNCT
dem-1067	81	3	ki	ki	PROPN
dem-1067	81	4	f	f	PROPN
dem-1067	82	1	i	i	PRON
dem-1067	82	2	f	f	PROPN
dem-1067	83	1	i	i	PRON
dem-1067	83	2	f	f	PROPN
dem-1067	84	1	xy	xy	INTJ
dem-1067	85	1	k	k	PROPN
dem-1067	86	1	k	k	PROPN
dem-1067	86	2	k	k	PROPN
dem-1067	87	1	xs	xs	PROPN
dem-1067	87	2	f	f	PROPN
dem-1067	88	1	e	e	PROPN
dem-1067	88	2	g	g	PROPN
dem-1067	88	3	f	f	PROPN
dem-1067	88	4	e	e	PROPN
dem-1067	88	5	h	h	NOUN
dem-1067	89	1	f	f	PROPN
dem-1067	89	2	e	e	PROPN
dem-1067	89	3	h	h	NOUN
dem-1067	89	4	f	f	PROPN
dem-1067	89	5	s	s	PART
dem-1067	89	6	f	f	ADJ
dem-1067	89	7			NOUN
dem-1067	89	8			ADJ
dem-1067	89	9			NOUN
dem-1067	89	10			PROPN
dem-1067	89	11			ADJ
dem-1067	89	12			PROPN
dem-1067	89	13			PROPN
dem-1067	89	14			PROPN
dem-1067	89	15			PROPN
dem-1067	89	16			PUNCT
dem-1067	89	17			X
dem-1067	89	18			NOUN
dem-1067	89	19			NOUN
dem-1067	89	20			PROPN
dem-1067	89	21	,	,	PUNCT
dem-1067	89	22	where	where	SCONJ
dem-1067	89	23	)	)	PUNCT
dem-1067	89	24	(	(	PUNCT
dem-1067	89	25	~	~	PUNCT
dem-1067	89	26	fg	fg	PROPN
dem-1067	89	27	j	j	PROPN
dem-1067	89	28	and	and	CCONJ
dem-1067	89	29	)	)	PUNCT
dem-1067	89	30	(	(	PUNCT
dem-1067	89	31	~	~	PUNCT
dem-1067	89	32	fh	fh	INTJ
dem-1067	89	33	j	j	PROPN
dem-1067	89	34	denote	denote	VERB
dem-1067	89	35	the	the	DET
dem-1067	89	36	transfer	transfer	NOUN
dem-1067	89	37	functions	function	NOUN
dem-1067	89	38	of	of	ADP
dem-1067	89	39	the	the	DET
dem-1067	89	40	level	level	NOUN
dem-1067	89	41	j	j	NOUN
dem-1067	89	42	scaling	scaling	NOUN
dem-1067	89	43	and	and	CCONJ
dem-1067	89	44	wavelet	wavelet	NOUN
dem-1067	89	45	filters	filter	NOUN
dem-1067	89	46	.	.	PUNCT
dem-1067	90	1	to	to	PART
dem-1067	90	2	see	see	VERB
dem-1067	90	3	how	how	SCONJ
dem-1067	90	4	the	the	DET
dem-1067	90	5	frequency	frequency	NOUN
dem-1067	90	6	characteristics	characteristic	NOUN
dem-1067	90	7	of	of	ADP
dem-1067	90	8	the	the	DET
dem-1067	90	9	bivariate	bivariate	ADJ
dem-1067	90	10	process	process	NOUN
dem-1067	90	11	defined	define	VERB
dem-1067	90	12	via	via	ADP
dem-1067	90	13	(	(	PUNCT
dem-1067	90	14	1	1	X
dem-1067	90	15	)	)	PUNCT
dem-1067	90	16	look	look	VERB
dem-1067	90	17	like	like	ADP
dem-1067	90	18	,	,	PUNCT
dem-1067	90	19	let	let	VERB
dem-1067	90	20	us	we	PRON
dem-1067	90	21	start	start	VERB
dem-1067	90	22	with	with	ADP
dem-1067	90	23	the	the	DET
dem-1067	90	24	simple	simple	ADJ
dem-1067	90	25	case	case	NOUN
dem-1067	90	26	of	of	ADP
dem-1067	90	27	the	the	DET
dem-1067	90	28	first	first	ADJ
dem-1067	90	29	level	level	NOUN
dem-1067	90	30	decomposition	decomposition	NOUN
dem-1067	90	31	:	:	PUNCT
dem-1067	90	32	t	t	NOUN
dem-1067	90	33	x	x	SYM
dem-1067	90	34	t	t	PROPN
dem-1067	90	35	x	x	X
dem-1067	90	36	tt	tt	PROPN
dem-1067	90	37	wvy	wvy	NOUN
dem-1067	90	38			NUM
dem-1067	90	39			X
dem-1067	90	40			PUNCT
dem-1067	90	41			NUM
dem-1067	90	42	10	10	NUM
dem-1067	90	43	,	,	PUNCT
dem-1067	90	44	11,10	11,10	NOUN
dem-1067	90	45	~~	~~	NUM
dem-1067	90	46	.	.	PUNCT
dem-1067	91	1	(	(	PUNCT
dem-1067	91	2	3	3	X
dem-1067	91	3	)	)	PUNCT
dem-1067	91	4	then	then	ADV
dem-1067	91	5	,	,	PUNCT
dem-1067	91	6	the	the	DET
dem-1067	91	7	cross	cross	ADJ
dem-1067	91	8	-	-	ADJ
dem-1067	91	9	spectrum	spectrum	ADJ
dem-1067	91	10	reduces	reduce	VERB
dem-1067	91	11	to	to	PART
dem-1067	91	12	:	:	PUNCT
dem-1067	91	13			PROPN
dem-1067	91	14	][][)(5,0	][][)(5,0	PROPN
dem-1067	91	15	)	)	PUNCT
dem-1067	91	16	(	(	PUNCT
dem-1067	91	17	)	)	PUNCT
dem-1067	91	18	1(22	1(22	NUM
dem-1067	91	19	1	1	NUM
dem-1067	91	20	)	)	PUNCT
dem-1067	91	21	1(22	1(22	NUM
dem-1067	91	22	0	0	NUM
dem-1067	91	23	1100	1100	NUM
dem-1067	91	24			PROPN
dem-1067	91	25			PROPN
dem-1067	91	26			NOUN
dem-1067	91	27			ADJ
dem-1067	91	28	fifififi	fifififi	PROPN
dem-1067	91	29	xxy	xxy	PROPN
dem-1067	91	30	eeeefsfs	eeeefsfs	PROPN
dem-1067	91	31	and	and	CCONJ
dem-1067	91	32	the	the	DET
dem-1067	91	33	amplitude	amplitude	NOUN
dem-1067	91	34	spectrum	spectrum	NOUN
dem-1067	91	35	is	be	AUX
dem-1067	91	36	:	:	PUNCT
dem-1067	91	37	.)2sin()](2sin[)2cos	.)2sin()](2sin[)2cos	PUNCT
dem-1067	91	38	(	(	PUNCT
dem-1067	91	39	22	22	NUM
dem-1067	91	40	)	)	PUNCT
dem-1067	91	41	(	(	PUNCT
dem-1067	91	42	)	)	PUNCT
dem-1067	91	43	(	(	PUNCT
dem-1067	91	44	5,0	5,0	NUM
dem-1067	91	45	1010	1010	NUM
dem-1067	91	46	2	2	NUM
dem-1067	91	47	1	1	NUM
dem-1067	91	48	2	2	NUM
dem-1067	91	49	0	0	NUM
dem-1067	91	50	2	2	NUM
dem-1067	91	51	1	1	NUM
dem-1067	91	52	2	2	NUM
dem-1067	91	53	0	0	NUM
dem-1067	91	54			NUM
dem-1067	91	55			NUM
dem-1067	91	56			PROPN
dem-1067	91	57			PROPN
dem-1067	91	58			NOUN
dem-1067	91	59			NUM
dem-1067	91	60			NUM
dem-1067	91	61			ADV
dem-1067	92	1			NOUN
dem-1067	92	2			PROPN
dem-1067	92	3			VERB
dem-1067	92	4			PUNCT
dem-1067	92	5			PROPN
dem-1067	92	6	ffffsfa	ffffsfa	PROPN
dem-1067	92	7	xxy	xxy	PROPN
dem-1067	92	8			NOUN
dem-1067	92	9			NOUN
dem-1067	92	10	in	in	ADP
dem-1067	92	11	the	the	DET
dem-1067	92	12	case	case	NOUN
dem-1067	92	13	10	10	NUM
dem-1067	92	14			NOUN
dem-1067	92	15			PRON
dem-1067	92	16	the	the	DET
dem-1067	92	17	gain	gain	NOUN
dem-1067	92	18	(	(	PUNCT
dem-1067	92	19	)	)	PUNCT
dem-1067	92	20	(	(	PUNCT
dem-1067	92	21	)	)	PUNCT
dem-1067	92	22	0	0	NUM
dem-1067	93	1	(	(	PUNCT
dem-1067	93	2	)	)	PUNCT
dem-1067	93	3	xy	xy	INTJ
dem-1067	94	1	xy	xy	NOUN
dem-1067	95	1	x	x	PUNCT
dem-1067	96	1	a	a	DET
dem-1067	96	2	f	f	NOUN
dem-1067	96	3	g	g	PROPN
dem-1067	96	4	f	f	PROPN
dem-1067	96	5	s	s	PROPN
dem-1067	96	6	f	f	NOUN
dem-1067	96	7			PROPN
dem-1067	96	8			NUM
dem-1067	96	9	is	be	AUX
dem-1067	96	10	a	a	DET
dem-1067	96	11	monotonic	monotonic	ADJ
dem-1067	96	12	function	function	NOUN
dem-1067	96	13	with	with	ADP
dem-1067	96	14	values	value	NOUN
dem-1067	96	15	between	between	ADP
dem-1067	96	16	||	||	NOUN
dem-1067	97	1	0	0	NOUN
dem-1067	98	1	and	and	CCONJ
dem-1067	98	2	||	||	NUM
dem-1067	98	3	1	1	NUM
dem-1067	98	4	.	.	PUNCT
dem-1067	99	1	it	it	PRON
dem-1067	99	2	is	be	AUX
dem-1067	99	3	easy	easy	ADJ
dem-1067	99	4	to	to	PART
dem-1067	99	5	see	see	VERB
dem-1067	99	6	that	that	PRON
dem-1067	99	7	for	for	ADP
dem-1067	99	8	all	all	DET
dem-1067	99	9	0	0	NUM
dem-1067	99	10	and	and	CCONJ
dem-1067	99	11	1	1	NUM
dem-1067	99	12	the	the	DET
dem-1067	99	13	gain	gain	NOUN
dem-1067	99	14	does	do	AUX
dem-1067	99	15	not	not	PART
dem-1067	99	16	exceed	exceed	VERB
dem-1067	99	17			ADJ
dem-1067	99	18	0,5	0,5	NOUN
dem-1067	99	19	0	0	NUM
dem-1067	99	20	1	1	NUM
dem-1067	99	21	0	0	NUM
dem-1067	99	22	1max{|	1max{|	NUM
dem-1067	99	23	|,|	|,|	NUM
dem-1067	99	24	|	|	NOUN
dem-1067	99	25	}	}	PUNCT
dem-1067	99	26	(	(	PUNCT
dem-1067	100	1	|	|	ADV
dem-1067	100	2	|	|	ADV
dem-1067	100	3	|	|	INTJ
dem-1067	100	4	|)	|)	NOUN
dem-1067	100	5			PROPN
dem-1067	100	6			PROPN
dem-1067	100	7			PROPN
dem-1067	100	8			PUNCT
dem-1067	100	9	and	and	CCONJ
dem-1067	100	10	its	its	PRON
dem-1067	100	11	values	value	NOUN
dem-1067	100	12	at	at	ADP
dem-1067	100	13	0	0	NUM
dem-1067	100	14	,	,	PUNCT
dem-1067	100	15	41	41	NUM
dem-1067	100	16	and	and	CCONJ
dem-1067	100	17	21	21	NUM
dem-1067	100	18	equal	equal	ADJ
dem-1067	100	19	||	||	NOUN
dem-1067	101	1	0	0	NOUN
dem-1067	101	2	,	,	PUNCT
dem-1067	101	3			NOUN
dem-1067	101	4	0,52	0,52	VERB
dem-1067	101	5	2	2	NUM
dem-1067	101	6	0	0	NUM
dem-1067	101	7	1	1	NUM
dem-1067	101	8	0	0	NUM
dem-1067	101	9	1	1	NUM
dem-1067	101	10	0	0	NUM
dem-1067	101	11	1	1	NUM
dem-1067	101	12	(	(	PUNCT
dem-1067	101	13	)	)	PUNCT
dem-1067	101	14	2	2	NUM
dem-1067	101	15	sin	sin	NOUN
dem-1067	101	16	[	[	PUNCT
dem-1067	101	17	2	2	NUM
dem-1067	101	18	(	(	PUNCT
dem-1067	101	19	)	)	PUNCT
dem-1067	101	20			PROPN
dem-1067	101	21			PROPN
dem-1067	101	22			PROPN
dem-1067	101	23			PROPN
dem-1067	101	24			PROPN
dem-1067	101	25			NOUN
dem-1067	101	26			ADJ
dem-1067	101	27			PROPN
dem-1067	101	28			PROPN
dem-1067	101	29	and	and	CCONJ
dem-1067	101	30	||	||	NUM
dem-1067	101	31	1	1	NUM
dem-1067	101	32	,	,	PUNCT
dem-1067	101	33	respectively	respectively	ADV
dem-1067	101	34	.	.	PUNCT
dem-1067	102	1	the	the	DET
dem-1067	102	2	possibility	possibility	NOUN
dem-1067	102	3	to	to	PART
dem-1067	102	4	parsimoniously	parsimoniously	ADV
dem-1067	102	5	parametrise	parametrise	VERB
dem-1067	102	6	the	the	DET
dem-1067	102	7	impulse	impulse	ADJ
dem-1067	102	8	response	response	NOUN
dem-1067	102	9	function	function	NOUN
dem-1067	102	10	becomes	become	VERB
dem-1067	102	11	more	more	ADV
dem-1067	102	12	apparent	apparent	ADJ
dem-1067	102	13	,	,	PUNCT
dem-1067	102	14	when	when	SCONJ
dem-1067	102	15	further	further	ADJ
dem-1067	102	16	decomposition	decomposition	NOUN
dem-1067	102	17	levels	level	NOUN
dem-1067	102	18	are	be	AUX
dem-1067	102	19	considered	consider	VERB
dem-1067	102	20	,	,	PUNCT
dem-1067	102	21	though	though	SCONJ
dem-1067	102	22	the	the	DET
dem-1067	102	23	form	form	NOUN
dem-1067	102	24	of	of	ADP
dem-1067	102	25	the	the	DET
dem-1067	102	26	theoretical	theoretical	ADJ
dem-1067	102	27	amplitude	amplitude	NOUN
dem-1067	102	28	spectrum	spectrum	NOUN
dem-1067	102	29	of	of	ADP
dem-1067	102	30	(	(	PUNCT
dem-1067	102	31	1	1	NUM
dem-1067	102	32	)	)	PUNCT
dem-1067	102	33	is	be	AUX
dem-1067	102	34	then	then	ADV
dem-1067	102	35	fairly	fairly	ADV
dem-1067	102	36	complicated	complicated	ADJ
dem-1067	102	37	,	,	PUNCT
dem-1067	102	38	even	even	ADV
dem-1067	102	39	in	in	ADP
dem-1067	102	40	the	the	DET
dem-1067	102	41	‘	'	PUNCT
dem-1067	102	42	equal	equal	ADJ
dem-1067	102	43	lag	lag	NOUN
dem-1067	102	44	’	'	PUNCT
dem-1067	102	45	case	case	NOUN
dem-1067	102	46	.	.	PUNCT
dem-1067	103	1	however	however	ADV
dem-1067	103	2	,	,	PUNCT
dem-1067	103	3	the	the	DET
dem-1067	103	4	values	value	NOUN
dem-1067	103	5	of	of	ADP
dem-1067	103	6	the	the	DET
dem-1067	103	7	gain	gain	NOUN
dem-1067	103	8	at	at	ADP
dem-1067	103	9	0	0	NUM
dem-1067	103	10	,	,	PUNCT
dem-1067	103	11	41	41	NUM
dem-1067	103	12	and	and	CCONJ
dem-1067	103	13	21	21	NUM
dem-1067	103	14	always	always	ADV
dem-1067	103	15	equal	equal	ADJ
dem-1067	103	16	||	||	PUNCT
dem-1067	104	1	0	0	NOUN
dem-1067	104	2	,	,	PUNCT
dem-1067	104	3			NOUN
dem-1067	104	4	0,52	0,52	PUNCT
dem-1067	104	5	2	2	NUM
dem-1067	104	6	1	1	NUM
dem-1067	104	7	2	2	NUM
dem-1067	104	8	1	1	NUM
dem-1067	104	9	2	2	NUM
dem-1067	104	10	2	2	NUM
dem-1067	104	11	1	1	NUM
dem-1067	104	12	(	(	PUNCT
dem-1067	104	13	)	)	PUNCT
dem-1067	104	14	2	2	NUM
dem-1067	104	15	sin	sin	NOUN
dem-1067	104	16	[	[	PUNCT
dem-1067	104	17	2	2	NUM
dem-1067	104	18	(	(	PUNCT
dem-1067	104	19	)	)	PUNCT
dem-1067	104	20			PROPN
dem-1067	104	21			PROPN
dem-1067	104	22			PROPN
dem-1067	104	23			PROPN
dem-1067	104	24			PROPN
dem-1067	104	25			NOUN
dem-1067	104	26			ADJ
dem-1067	104	27			PROPN
dem-1067	104	28			PROPN
dem-1067	104	29	and	and	CCONJ
dem-1067	104	30	||	||	NUM
dem-1067	104	31	1	1	NUM
dem-1067	104	32	,	,	PUNCT
dem-1067	104	33	respectively	respectively	ADV
dem-1067	104	34	,	,	PUNCT
dem-1067	104	35	and	and	CCONJ
dem-1067	104	36	to	to	ADP
dem-1067	104	37	a	a	DET
dem-1067	104	38	great	great	ADJ
dem-1067	104	39	extent	extent	NOUN
dem-1067	104	40	,	,	PUNCT
dem-1067	104	41	the	the	DET
dem-1067	104	42	beta	beta	ADJ
dem-1067	104	43	coefficients	coefficient	NOUN
dem-1067	104	44	in	in	ADP
dem-1067	104	45	(	(	PUNCT
dem-1067	104	46	6.1	6.1	NUM
dem-1067	104	47	)	)	PUNCT
dem-1067	104	48	reveal	reveal	VERB
dem-1067	104	49	the	the	DET
dem-1067	104	50	shape	shape	NOUN
dem-1067	104	51	of	of	ADP
dem-1067	104	52	the	the	DET
dem-1067	104	53	gain	gain	NOUN
dem-1067	104	54	function	function	NOUN
dem-1067	104	55	,	,	PUNCT
dem-1067	104	56	especially	especially	ADV
dem-1067	104	57	in	in	ADP
dem-1067	104	58	the	the	DET
dem-1067	104	59	case	case	NOUN
dem-1067	104	60	of	of	ADP
dem-1067	104	61	identical	identical	ADJ
dem-1067	104	62	lags	lag	NOUN
dem-1067	104	63	.	.	PUNCT
dem-1067	105	1	there	there	PRON
dem-1067	105	2	are	be	VERB
dem-1067	105	3	basically	basically	ADV
dem-1067	105	4	two	two	NUM
dem-1067	105	5	problems	problem	NOUN
dem-1067	105	6	with	with	ADP
dem-1067	105	7	interpreting	interpret	VERB
dem-1067	105	8	the	the	DET
dem-1067	105	9	beta	beta	ADJ
dem-1067	105	10	coefficients	coefficient	NOUN
dem-1067	105	11	in	in	ADP
dem-1067	105	12	terms	term	NOUN
dem-1067	105	13	of	of	ADP
dem-1067	105	14	the	the	DET
dem-1067	105	15	gain	gain	NOUN
dem-1067	105	16	.	.	PUNCT
dem-1067	106	1	first	first	ADV
dem-1067	106	2	,	,	PUNCT
dem-1067	106	3	the	the	DET
dem-1067	106	4	haar	haar	PROPN
dem-1067	106	5	wavelet	wavelet	NOUN
dem-1067	106	6	transfer	transfer	NOUN
dem-1067	106	7	function	function	NOUN
dem-1067	106	8	model	model	NOUN
dem-1067	106	9	and	and	CCONJ
dem-1067	106	10	its	its	PRON
dem-1067	106	11	applications	application	NOUN
dem-1067	106	12	145	145	NUM
dem-1067	106	13	there	there	PRON
dem-1067	106	14	is	be	VERB
dem-1067	106	15	a	a	DET
dem-1067	106	16	substantial	substantial	ADJ
dem-1067	106	17	leakage	leakage	NOUN
dem-1067	106	18	associated	associate	VERB
dem-1067	106	19	with	with	ADP
dem-1067	106	20	the	the	DET
dem-1067	106	21	haar	haar	X
dem-1067	106	22	wavelet	wavelet	NOUN
dem-1067	106	23	and	and	CCONJ
dem-1067	106	24	scaling	scale	VERB
dem-1067	106	25	filters	filter	NOUN
dem-1067	106	26	.	.	PUNCT
dem-1067	107	1	furthermore	furthermore	ADV
dem-1067	107	2	,	,	PUNCT
dem-1067	107	3	if	if	SCONJ
dem-1067	107	4	the	the	DET
dem-1067	107	5	lag	lag	NOUN
dem-1067	107	6	parameters	parameter	NOUN
dem-1067	107	7	differ	differ	VERB
dem-1067	107	8	significantly	significantly	ADV
dem-1067	107	9	across	across	ADP
dem-1067	107	10	scales	scale	NOUN
dem-1067	107	11	,	,	PUNCT
dem-1067	107	12	the	the	DET
dem-1067	107	13	function	function	NOUN
dem-1067	107	14	becomes	become	VERB
dem-1067	107	15	highly	highly	ADV
dem-1067	107	16	variable	variable	ADJ
dem-1067	107	17	.	.	PUNCT
dem-1067	108	1	figure	figure	NOUN
dem-1067	108	2	1	1	NUM
dem-1067	108	3	presents	present	VERB
dem-1067	108	4	spectral	spectral	ADJ
dem-1067	108	5	characteristics	characteristic	NOUN
dem-1067	108	6	of	of	ADP
dem-1067	108	7	example	example	NOUN
dem-1067	108	8	bivariate	bivariate	ADJ
dem-1067	108	9	processes	process	NOUN
dem-1067	108	10	defined	define	VERB
dem-1067	108	11	via	via	ADP
dem-1067	108	12	:	:	PUNCT
dem-1067	108	13	t	t	NOUN
dem-1067	108	14	x	x	SYM
dem-1067	108	15	t	t	PROPN
dem-1067	108	16	x	x	SYM
dem-1067	108	17	t	t	PROPN
dem-1067	108	18	x	x	PUNCT
dem-1067	108	19	tt	tt	PROPN
dem-1067	108	20	wwvy	wwvy	NOUN
dem-1067	108	21			ADV
dem-1067	108	22			PUNCT
dem-1067	108	23			VERB
dem-1067	108	24			NOUN
dem-1067	108	25	210	210	NUM
dem-1067	108	26	,	,	PUNCT
dem-1067	108	27	22,11,20	22,11,20	NUM
dem-1067	108	28	~~~	~~~	PUNCT
dem-1067	108	29	.	.	PUNCT
dem-1067	109	1	(	(	PUNCT
dem-1067	109	2	4	4	NUM
dem-1067	109	3	)	)	PUNCT
dem-1067	109	4	0	0	NUM
dem-1067	110	1	0.5	0.5	NUM
dem-1067	110	2	1	1	NUM
dem-1067	110	3	2	2	NUM
dem-1067	110	4	3	3	NUM
dem-1067	110	5	4	4	NUM
dem-1067	110	6	g	g	NOUN
dem-1067	110	7	;	;	PUNCT
dem-1067	110	8	(	(	PUNCT
dem-1067	110	9	a	a	X
dem-1067	110	10	)	)	PUNCT
dem-1067	110	11	0	0	NUM
dem-1067	110	12	0.5	0.5	NUM
dem-1067	110	13	-10	-10	PUNCT
dem-1067	110	14	-5	-5	NOUN
dem-1067	110	15	0	0	PUNCT
dem-1067	110	16			NOUN
dem-1067	110	17	;	;	PUNCT
dem-1067	110	18	(	(	PUNCT
dem-1067	110	19	a	a	X
dem-1067	110	20	)	)	PUNCT
dem-1067	110	21	0	0	NUM
dem-1067	110	22	0.5	0.5	NUM
dem-1067	110	23	-4	-4	NUM
dem-1067	110	24	-2	-2	NOUN
dem-1067	110	25	0	0	NUM
dem-1067	110	26	2	2	NUM
dem-1067	110	27	4	4	NUM
dem-1067	110	28			NOUN
dem-1067	110	29	;	;	PUNCT
dem-1067	110	30	(	(	PUNCT
dem-1067	110	31	a	a	X
dem-1067	110	32	)	)	PUNCT
dem-1067	110	33	0	0	NUM
dem-1067	110	34	0.5	0.5	NUM
dem-1067	110	35	1	1	NUM
dem-1067	110	36	2	2	NUM
dem-1067	110	37	3	3	NUM
dem-1067	110	38	4	4	NUM
dem-1067	110	39	g	g	NOUN
dem-1067	110	40	;	;	PUNCT
dem-1067	110	41	(	(	PUNCT
dem-1067	110	42	b	b	X
dem-1067	110	43	)	)	PUNCT
dem-1067	110	44	0	0	NUM
dem-1067	110	45	0.5	0.5	NUM
dem-1067	110	46	-0.5	-0.5	NUM
dem-1067	110	47	0	0	NUM
dem-1067	110	48	0.5	0.5	NUM
dem-1067	110	49			NOUN
dem-1067	110	50	;	;	PUNCT
dem-1067	110	51	(	(	PUNCT
dem-1067	110	52	b	b	X
dem-1067	110	53	)	)	PUNCT
dem-1067	110	54	0	0	NUM
dem-1067	110	55	0.5	0.5	NUM
dem-1067	110	56	-4	-4	NUM
dem-1067	110	57	-2	-2	NOUN
dem-1067	110	58	0	0	NUM
dem-1067	110	59	2	2	NUM
dem-1067	110	60	4	4	NUM
dem-1067	110	61			NOUN
dem-1067	110	62	;	;	PUNCT
dem-1067	110	63	(	(	PUNCT
dem-1067	110	64	b	b	X
dem-1067	110	65	)	)	PUNCT
dem-1067	110	66	0	0	NUM
dem-1067	110	67	0.5	0.5	NUM
dem-1067	110	68	0	0	NUM
dem-1067	110	69	2	2	NUM
dem-1067	110	70	4	4	NUM
dem-1067	110	71	g	g	NOUN
dem-1067	110	72	;	;	PUNCT
dem-1067	110	73	(	(	PUNCT
dem-1067	110	74	c	c	X
dem-1067	110	75	)	)	PUNCT
dem-1067	110	76	0	0	NUM
dem-1067	110	77	0.5	0.5	NUM
dem-1067	110	78	-2	-2	NOUN
dem-1067	110	79	0	0	NUM
dem-1067	110	80	2	2	NUM
dem-1067	110	81			NOUN
dem-1067	110	82	;	;	PUNCT
dem-1067	110	83	(	(	PUNCT
dem-1067	110	84	c	c	X
dem-1067	110	85	)	)	PUNCT
dem-1067	110	86	0	0	NUM
dem-1067	110	87	0.5	0.5	NUM
dem-1067	110	88	-4	-4	NUM
dem-1067	110	89	-2	-2	NOUN
dem-1067	110	90	0	0	NUM
dem-1067	110	91	2	2	NUM
dem-1067	110	92	4	4	NUM
dem-1067	110	93			NOUN
dem-1067	110	94	;	;	PUNCT
dem-1067	110	95	(	(	PUNCT
dem-1067	110	96	c	c	X
dem-1067	110	97	)	)	PUNCT
dem-1067	110	98	0	0	NUM
dem-1067	110	99	0.5	0.5	NUM
dem-1067	110	100	0	0	NUM
dem-1067	110	101	2	2	NUM
dem-1067	110	102	4	4	NUM
dem-1067	110	103	g	g	NOUN
dem-1067	110	104	;	;	PUNCT
dem-1067	110	105	(	(	PUNCT
dem-1067	110	106	d	d	X
dem-1067	110	107	)	)	PUNCT
dem-1067	110	108	0	0	NUM
dem-1067	110	109	0.5	0.5	NUM
dem-1067	110	110	-10	-10	SYM
dem-1067	110	111	0	0	NUM
dem-1067	110	112	10	10	NUM
dem-1067	110	113			NOUN
dem-1067	110	114	;	;	PUNCT
dem-1067	110	115	(	(	PUNCT
dem-1067	110	116	d	d	X
dem-1067	110	117	)	)	PUNCT
dem-1067	110	118	0	0	NUM
dem-1067	110	119	0.5	0.5	NUM
dem-1067	110	120	-4	-4	NUM
dem-1067	110	121	-2	-2	NOUN
dem-1067	110	122	0	0	NUM
dem-1067	110	123	2	2	NUM
dem-1067	110	124	4	4	NUM
dem-1067	110	125			NOUN
dem-1067	110	126	;	;	PUNCT
dem-1067	110	127	(	(	PUNCT
dem-1067	110	128	d	d	X
dem-1067	110	129	)	)	PUNCT
dem-1067	110	130	figure	figure	NOUN
dem-1067	110	131	1	1	NUM
dem-1067	110	132	.	.	PUNCT
dem-1067	110	133	spectral	spectral	ADJ
dem-1067	110	134	characteristics	characteristic	NOUN
dem-1067	110	135	of	of	ADP
dem-1067	110	136	the	the	DET
dem-1067	110	137	bivariate	bivariate	ADJ
dem-1067	110	138	process	process	NOUN
dem-1067	110	139	(	(	PUNCT
dem-1067	110	140	4	4	NUM
dem-1067	110	141	)	)	PUNCT
dem-1067	110	142	.	.	PUNCT
dem-1067	111	1	figure	figure	NOUN
dem-1067	111	2	presents	present	NOUN
dem-1067	111	3	gains	gain	NOUN
dem-1067	111	4	(	(	PUNCT
dem-1067	111	5	left	leave	VERB
dem-1067	111	6	-	-	PUNCT
dem-1067	111	7	hand	hand	NOUN
dem-1067	111	8	column	column	NOUN
dem-1067	111	9	)	)	PUNCT
dem-1067	111	10	,	,	PUNCT
dem-1067	111	11	phase	phase	NOUN
dem-1067	111	12	spectra	spectra	NOUN
dem-1067	111	13	(	(	PUNCT
dem-1067	111	14	middle	middle	ADJ
dem-1067	111	15	)	)	PUNCT
dem-1067	111	16	and	and	CCONJ
dem-1067	111	17	time	time	NOUN
dem-1067	111	18	delays	delay	NOUN
dem-1067	111	19	defined	define	VERB
dem-1067	111	20	as	as	ADP
dem-1067	111	21	f	f	PROPN
dem-1067	111	22	ff	ff	NUM
dem-1067	111	23			PROPN
dem-1067	111	24			PROPN
dem-1067	111	25	2	2	NUM
dem-1067	111	26	)	)	PUNCT
dem-1067	111	27	(	(	PUNCT
dem-1067	111	28	)	)	PUNCT
dem-1067	111	29	(	(	PUNCT
dem-1067	111	30			ADJ
dem-1067	111	31	(	(	PUNCT
dem-1067	111	32	right	right	ADJ
dem-1067	111	33	-	-	PUNCT
dem-1067	111	34	hand	hand	NOUN
dem-1067	111	35	column	column	NOUN
dem-1067	111	36	)	)	PUNCT
dem-1067	111	37	,	,	PUNCT
dem-1067	111	38	for	for	ADP
dem-1067	111	39	the	the	DET
dem-1067	111	40	following	follow	VERB
dem-1067	111	41	four	four	NUM
dem-1067	111	42	cases	case	NOUN
dem-1067	111	43	:	:	PUNCT
dem-1067	111	44	(	(	PUNCT
dem-1067	111	45	a	a	X
dem-1067	111	46	)	)	PUNCT
dem-1067	111	47	,	,	PUNCT
dem-1067	111	48	40	40	NUM
dem-1067	111	49			PROPN
dem-1067	111	50	,	,	PUNCT
dem-1067	111	51	21	21	NUM
dem-1067	111	52			PROPN
dem-1067	111	53	,	,	PUNCT
dem-1067	111	54	32	32	NUM
dem-1067	111	55			PROPN
dem-1067	111	56	,	,	PUNCT
dem-1067	111	57	20	20	NUM
dem-1067	111	58			NUM
dem-1067	111	59	,	,	PUNCT
dem-1067	111	60	21	21	NUM
dem-1067	111	61			NOUN
dem-1067	111	62	,	,	PUNCT
dem-1067	111	63	22	22	NUM
dem-1067	111	64			NOUN
dem-1067	111	65	(	(	PUNCT
dem-1067	111	66	b	b	NOUN
dem-1067	111	67	)	)	PUNCT
dem-1067	111	68	,	,	PUNCT
dem-1067	111	69	20	20	NUM
dem-1067	111	70			PROPN
dem-1067	111	71	,	,	PUNCT
dem-1067	111	72	31	31	NUM
dem-1067	111	73			PROPN
dem-1067	111	74	,	,	PUNCT
dem-1067	111	75	42	42	NUM
dem-1067	111	76			PROPN
dem-1067	111	77	,	,	PUNCT
dem-1067	111	78	00	00	NUM
dem-1067	111	79			NUM
dem-1067	111	80	,	,	PUNCT
dem-1067	111	81	01	01	NUM
dem-1067	111	82			NUM
dem-1067	111	83	,	,	PUNCT
dem-1067	111	84	02	02	NUM
dem-1067	111	85			NOUN
dem-1067	111	86	(	(	PUNCT
dem-1067	111	87	c	c	NOUN
dem-1067	111	88	)	)	PUNCT
dem-1067	111	89	,	,	PUNCT
dem-1067	111	90	20	20	NUM
dem-1067	111	91			PROPN
dem-1067	111	92	,	,	PUNCT
dem-1067	111	93	21	21	NUM
dem-1067	111	94			PROPN
dem-1067	111	95	,	,	PUNCT
dem-1067	111	96	22	22	NUM
dem-1067	111	97			PROPN
dem-1067	111	98	,	,	PUNCT
dem-1067	111	99	20	20	NUM
dem-1067	111	100			NOUN
dem-1067	111	101	,	,	PUNCT
dem-1067	111	102	01	01	NUM
dem-1067	111	103			NUM
dem-1067	111	104	,	,	PUNCT
dem-1067	111	105	02	02	NUM
dem-1067	111	106			NOUN
dem-1067	111	107	(	(	PUNCT
dem-1067	111	108	d	d	NOUN
dem-1067	111	109	)	)	PUNCT
dem-1067	111	110	,	,	PUNCT
dem-1067	111	111	20	20	NUM
dem-1067	111	112			PROPN
dem-1067	111	113	,	,	PUNCT
dem-1067	111	114	21	21	NUM
dem-1067	111	115			PROPN
dem-1067	111	116	,	,	PUNCT
dem-1067	111	117	42	42	NUM
dem-1067	111	118			PROPN
dem-1067	111	119	,	,	PUNCT
dem-1067	111	120	00	00	NUM
dem-1067	111	121			NUM
dem-1067	111	122	,	,	PUNCT
dem-1067	111	123	21	21	NUM
dem-1067	111	124			NUM
dem-1067	111	125	02	02	NUM
dem-1067	111	126			NOUN
dem-1067	111	127	.	.	PUNCT
dem-1067	112	1	to	to	PART
dem-1067	112	2	draw	draw	VERB
dem-1067	112	3	the	the	DET
dem-1067	112	4	phase	phase	NOUN
dem-1067	112	5	spectrum	spectrum	NOUN
dem-1067	112	6	we	we	PRON
dem-1067	112	7	used	use	VERB
dem-1067	112	8	the	the	DET
dem-1067	112	9	unwrap	unwrap	NOUN
dem-1067	112	10	matlab	matlab	PROPN
dem-1067	112	11	function	function	NOUN
dem-1067	112	12	,	,	PUNCT
dem-1067	112	13	which	which	PRON
dem-1067	112	14	converts	convert	VERB
dem-1067	112	15	increments	increment	NOUN
dem-1067	112	16	greater	great	ADJ
dem-1067	112	17	in	in	ADP
dem-1067	112	18	magnitude	magnitude	NOUN
dem-1067	112	19	than	than	ADP
dem-1067	112	20	or	or	CCONJ
dem-1067	112	21	equal	equal	ADJ
dem-1067	112	22	to	to	ADP
dem-1067	112	23			PROPN
dem-1067	112	24	to	to	ADP
dem-1067	112	25	their	their	PRON
dem-1067	112	26	2	2	NUM
dem-1067	112	27	complements	complement	NOUN
dem-1067	112	28	.	.	PUNCT
dem-1067	113	1	one	one	NUM
dem-1067	113	2	generalisation	generalisation	NOUN
dem-1067	113	3	of	of	ADP
dem-1067	113	4	the	the	DET
dem-1067	113	5	approach	approach	NOUN
dem-1067	113	6	presented	present	VERB
dem-1067	113	7	here	here	ADV
dem-1067	113	8	utilises	utilise	VERB
dem-1067	113	9	the	the	DET
dem-1067	113	10	nondecimated	nondecimate	VERB
dem-1067	113	11	haar	haar	PROPN
dem-1067	113	12	wavelet	wavelet	NOUN
dem-1067	113	13	packet	packet	NOUN
dem-1067	113	14	transform	transform	NOUN
dem-1067	113	15	coefficients	coefficient	NOUN
dem-1067	113	16	.	.	PUNCT
dem-1067	114	1	in	in	ADP
dem-1067	114	2	order	order	NOUN
dem-1067	114	3	to	to	PART
dem-1067	114	4	better	well	ADV
dem-1067	114	5	reflect	reflect	VERB
dem-1067	114	6	the	the	DET
dem-1067	114	7	frequency	frequency	NOUN
dem-1067	114	8	character	character	NOUN
dem-1067	114	9	of	of	ADP
dem-1067	114	10	the	the	DET
dem-1067	114	11	relationships	relationship	NOUN
dem-1067	114	12	under	under	ADP
dem-1067	114	13	scrutiny	scrutiny	NOUN
dem-1067	114	14	we	we	PRON
dem-1067	114	15	suggest	suggest	VERB
dem-1067	114	16	to	to	PART
dem-1067	114	17	replace	replace	VERB
dem-1067	114	18	the	the	DET
dem-1067	114	19	lower	low	ADJ
dem-1067	114	20	level	level	NOUN
dem-1067	114	21	wavelet	wavelet	NOUN
dem-1067	114	22	coefficients	coefficient	NOUN
dem-1067	114	23	with	with	ADP
dem-1067	114	24	the	the	DET
dem-1067	114	25	appropriate	appropriate	ADJ
dem-1067	114	26	modwpt	modwpt	NOUN
dem-1067	114	27	coefficients	coefficient	NOUN
dem-1067	114	28	from	from	ADP
dem-1067	114	29	a	a	DET
dem-1067	114	30	chosen	choose	VERB
dem-1067	114	31	decomposition	decomposition	NOUN
dem-1067	114	32	level	level	NOUN
dem-1067	114	33	.	.	PUNCT
dem-1067	115	1	the	the	DET
dem-1067	115	2	modwpt	modwpt	NOUN
dem-1067	115	3	-	-	PUNCT
dem-1067	115	4	enhanced	enhance	VERB
dem-1067	115	5	model	model	NOUN
dem-1067	115	6	should	should	AUX
dem-1067	115	7	joanna	joanna	PROPN
dem-1067	115	8	bruzda	bruzda	VERB
dem-1067	115	9	146	146	NUM
dem-1067	115	10	enable	enable	ADJ
dem-1067	115	11	to	to	PART
dem-1067	115	12	choose	choose	VERB
dem-1067	115	13	the	the	DET
dem-1067	115	14	best	good	ADJ
dem-1067	115	15	filters	filter	NOUN
dem-1067	115	16	(	(	PUNCT
dem-1067	115	17	as	as	SCONJ
dem-1067	115	18	for	for	ADP
dem-1067	115	19	their	their	PRON
dem-1067	115	20	length	length	NOUN
dem-1067	115	21	and	and	CCONJ
dem-1067	115	22	the	the	DET
dem-1067	115	23	frequency	frequency	NOUN
dem-1067	115	24	of	of	ADP
dem-1067	115	25	oscillations	oscillation	NOUN
dem-1067	115	26	captured	capture	VERB
dem-1067	115	27	)	)	PUNCT
dem-1067	115	28	to	to	PART
dem-1067	115	29	describe	describe	VERB
dem-1067	115	30	the	the	DET
dem-1067	115	31	short	short	ADJ
dem-1067	115	32	term	term	NOUN
dem-1067	115	33	fluctuations	fluctuation	NOUN
dem-1067	115	34	.	.	PUNCT
dem-1067	116	1	the	the	DET
dem-1067	116	2	best	good	ADJ
dem-1067	116	3	basis	basis	NOUN
dem-1067	116	4	for	for	ADP
dem-1067	116	5	the	the	DET
dem-1067	116	6	transform	transform	NOUN
dem-1067	116	7	and	and	CCONJ
dem-1067	116	8	the	the	DET
dem-1067	116	9	final	final	ADJ
dem-1067	116	10	variables	variable	NOUN
dem-1067	116	11	left	leave	VERB
dem-1067	116	12	in	in	ADP
dem-1067	116	13	the	the	DET
dem-1067	116	14	model	model	NOUN
dem-1067	116	15	can	can	AUX
dem-1067	116	16	be	be	AUX
dem-1067	116	17	chosen	choose	VERB
dem-1067	116	18	as	as	ADP
dem-1067	116	19	to	to	PART
dem-1067	116	20	optimise	optimise	VERB
dem-1067	116	21	the	the	DET
dem-1067	116	22	empirical	empirical	ADJ
dem-1067	116	23	model	model	NOUN
dem-1067	116	24	in	in	ADP
dem-1067	116	25	terms	term	NOUN
dem-1067	116	26	of	of	ADP
dem-1067	116	27	its	its	PRON
dem-1067	116	28	parsimony	parsimony	NOUN
dem-1067	116	29	(	(	PUNCT
dem-1067	116	30	tests	test	NOUN
dem-1067	116	31	for	for	ADP
dem-1067	116	32	equality	equality	NOUN
dem-1067	116	33	and	and	CCONJ
dem-1067	116	34	significance	significance	NOUN
dem-1067	116	35	of	of	ADP
dem-1067	116	36	parameters	parameter	NOUN
dem-1067	116	37	will	will	AUX
dem-1067	116	38	be	be	AUX
dem-1067	116	39	helpful	helpful	ADJ
dem-1067	116	40	)	)	PUNCT
dem-1067	116	41	,	,	PUNCT
dem-1067	116	42	some	some	DET
dem-1067	116	43	goodness	goodness	NOUN
dem-1067	116	44	of	of	ADP
dem-1067	116	45	fit	fit	ADJ
dem-1067	116	46	measures	measure	NOUN
dem-1067	116	47	and	and	CCONJ
dem-1067	116	48	diagnostic	diagnostic	ADJ
dem-1067	116	49	tests	test	NOUN
dem-1067	116	50	.	.	PUNCT
dem-1067	117	1	the	the	DET
dem-1067	117	2	haar	haar	PROPN
dem-1067	117	3	wavelet	wavelet	NOUN
dem-1067	117	4	packet	packet	NOUN
dem-1067	117	5	filters	filter	NOUN
dem-1067	117	6	,	,	PUNCT
dem-1067	117	7	which	which	PRON
dem-1067	117	8	produce	produce	VERB
dem-1067	117	9	the	the	DET
dem-1067	117	10	j	j	PROPN
dem-1067	117	11	-	-	PUNCT
dem-1067	117	12	th	th	VERB
dem-1067	117	13	level	level	NOUN
dem-1067	117	14	wavelet	wavelet	NOUN
dem-1067	117	15	packet	packet	NOUN
dem-1067	117	16	decomposition	decomposition	NOUN
dem-1067	117	17	,	,	PUNCT
dem-1067	117	18	are	be	AUX
dem-1067	117	19	defined	define	VERB
dem-1067	117	20	via	via	ADP
dem-1067	117	21	lag	lag	NOUN
dem-1067	117	22	polynomials	polynomial	NOUN
dem-1067	117	23	of	of	ADP
dem-1067	117	24	order	order	NOUN
dem-1067	117	25	j	j	PROPN
dem-1067	117	26	,	,	PUNCT
dem-1067	117	27	whose	whose	DET
dem-1067	117	28	all	all	DET
dem-1067	117	29	complex	complex	ADJ
dem-1067	117	30	roots	root	NOUN
dem-1067	117	31	lie	lie	VERB
dem-1067	117	32	on	on	ADP
dem-1067	117	33	the	the	DET
dem-1067	117	34	unit	unit	NOUN
dem-1067	117	35	circle	circle	NOUN
dem-1067	117	36	.	.	PUNCT
dem-1067	118	1	for	for	ADP
dem-1067	118	2	example	example	NOUN
dem-1067	118	3	,	,	PUNCT
dem-1067	118	4	for	for	ADP
dem-1067	118	5	j	j	PROPN
dem-1067	118	6	=	=	SYM
dem-1067	118	7	3	3	NUM
dem-1067	118	8	the	the	DET
dem-1067	118	9	non	non	ADJ
dem-1067	118	10	-	-	ADJ
dem-1067	118	11	decimated	decimated	ADJ
dem-1067	118	12	versions	version	NOUN
dem-1067	118	13	of	of	ADP
dem-1067	118	14	the	the	DET
dem-1067	118	15	wavelet	wavelet	NOUN
dem-1067	118	16	packet	packet	NOUN
dem-1067	118	17	coefficients	coefficient	NOUN
dem-1067	118	18	tnjw	tnjw	VERB
dem-1067	118	19	,	,	PUNCT
dem-1067	118	20	,	,	PUNCT
dem-1067	118	21	~	~	PUNCT
dem-1067	118	22	are	be	AUX
dem-1067	118	23	obtained	obtain	VERB
dem-1067	118	24	in	in	ADP
dem-1067	118	25	the	the	DET
dem-1067	118	26	following	following	ADJ
dem-1067	118	27	way	way	NOUN
dem-1067	118	28	:	:	PUNCT
dem-1067	118	29	2	2	NUM
dem-1067	118	30	4	4	NUM
dem-1067	118	31	2	2	NUM
dem-1067	118	32	41	41	NUM
dem-1067	118	33	1	1	NUM
dem-1067	118	34	3,0	3,0	NUM
dem-1067	118	35	,	,	PUNCT
dem-1067	118	36	3,1,8	3,1,8	NUM
dem-1067	118	37	8	8	NUM
dem-1067	118	38	2	2	NUM
dem-1067	118	39	4	4	NUM
dem-1067	118	40	2	2	NUM
dem-1067	118	41	41	41	NUM
dem-1067	118	42	1	1	NUM
dem-1067	118	43	3,2	3,2	NUM
dem-1067	118	44	,	,	PUNCT
dem-1067	118	45	3,3,8	3,3,8	NUM
dem-1067	118	46	8	8	NUM
dem-1067	118	47	2	2	NUM
dem-1067	118	48	4	4	NUM
dem-1067	118	49	2	2	NUM
dem-1067	118	50	41	41	NUM
dem-1067	118	51	1	1	NUM
dem-1067	118	52	3,4	3,4	NUM
dem-1067	118	53	,	,	PUNCT
dem-1067	118	54	3,5,8	3,5,8	NUM
dem-1067	118	55	8	8	NUM
dem-1067	118	56	21	21	NUM
dem-1067	118	57	3,6	3,6	NUM
dem-1067	118	58	,	,	PUNCT
dem-1067	118	59	8	8	NUM
dem-1067	118	60	(	(	PUNCT
dem-1067	118	61	1	1	NUM
dem-1067	118	62	)	)	PUNCT
dem-1067	118	63	(	(	PUNCT
dem-1067	118	64	1	1	X
dem-1067	118	65	)	)	PUNCT
dem-1067	118	66	(	(	PUNCT
dem-1067	118	67	1	1	NUM
dem-1067	118	68	)	)	PUNCT
dem-1067	118	69	,	,	PUNCT
dem-1067	118	70	(	(	PUNCT
dem-1067	118	71	1	1	X
dem-1067	118	72	)	)	PUNCT
dem-1067	118	73	(	(	PUNCT
dem-1067	118	74	1	1	X
dem-1067	118	75	)	)	PUNCT
dem-1067	118	76	(	(	PUNCT
dem-1067	118	77	1	1	NUM
dem-1067	118	78	)	)	PUNCT
dem-1067	118	79	,	,	PUNCT
dem-1067	118	80	(	(	PUNCT
dem-1067	118	81	1	1	X
dem-1067	118	82	)	)	PUNCT
dem-1067	118	83	(	(	PUNCT
dem-1067	118	84	1	1	X
dem-1067	118	85	)	)	PUNCT
dem-1067	118	86	(	(	PUNCT
dem-1067	118	87	1	1	NUM
dem-1067	118	88	)	)	PUNCT
dem-1067	118	89	,	,	PUNCT
dem-1067	118	90	(	(	PUNCT
dem-1067	118	91	1	1	X
dem-1067	118	92	)	)	PUNCT
dem-1067	118	93	(	(	PUNCT
dem-1067	118	94	1	1	X
dem-1067	118	95	)	)	PUNCT
dem-1067	118	96	(	(	PUNCT
dem-1067	118	97	1	1	NUM
dem-1067	118	98	)	)	PUNCT
dem-1067	118	99	,	,	PUNCT
dem-1067	118	100	(	(	PUNCT
dem-1067	118	101	1	1	X
dem-1067	118	102	)	)	PUNCT
dem-1067	118	103	(	(	PUNCT
dem-1067	118	104	1	1	X
dem-1067	118	105	)	)	PUNCT
dem-1067	118	106	(	(	PUNCT
dem-1067	118	107	1	1	NUM
dem-1067	118	108	)	)	PUNCT
dem-1067	118	109	,	,	PUNCT
dem-1067	118	110	(	(	PUNCT
dem-1067	118	111	1	1	X
dem-1067	118	112	)	)	PUNCT
dem-1067	118	113	(	(	PUNCT
dem-1067	118	114	1	1	X
dem-1067	118	115	)	)	PUNCT
dem-1067	118	116	(	(	PUNCT
dem-1067	118	117	1	1	NUM
dem-1067	118	118	)	)	PUNCT
dem-1067	118	119	,	,	PUNCT
dem-1067	118	120	(	(	PUNCT
dem-1067	118	121	1	1	X
dem-1067	118	122	)	)	PUNCT
dem-1067	118	123	(	(	PUNCT
dem-1067	118	124	1	1	NUM
dem-1067	118	125	t	t	NOUN
dem-1067	118	126	t	t	NOUN
dem-1067	118	127	t	t	PROPN
dem-1067	118	128	t	t	PROPN
dem-1067	118	129	t	t	PROPN
dem-1067	118	130	t	t	PROPN
dem-1067	118	131	t	t	PROPN
dem-1067	118	132	t	t	PROPN
dem-1067	118	133	t	t	PROPN
dem-1067	118	134	t	t	PROPN
dem-1067	118	135	t	t	PROPN
dem-1067	119	1	t	t	PROPN
dem-1067	119	2	t	t	PROPN
dem-1067	119	3	w	w	PROPN
dem-1067	119	4	l	l	PROPN
dem-1067	119	5	l	l	NOUN
dem-1067	119	6	l	l	NOUN
dem-1067	119	7	x	x	X
dem-1067	120	1	w	w	NOUN
dem-1067	120	2	l	l	NOUN
dem-1067	120	3	l	l	NOUN
dem-1067	120	4	l	l	NOUN
dem-1067	120	5	x	x	X
dem-1067	120	6	w	w	NOUN
dem-1067	120	7	l	l	NOUN
dem-1067	120	8	l	l	NOUN
dem-1067	120	9	l	l	NOUN
dem-1067	120	10	x	x	X
dem-1067	120	11	w	w	NOUN
dem-1067	120	12	l	l	NOUN
dem-1067	120	13	l	l	NOUN
dem-1067	120	14	l	l	NOUN
dem-1067	120	15	x	x	X
dem-1067	120	16	w	w	NOUN
dem-1067	120	17	l	l	NOUN
dem-1067	120	18	l	l	NOUN
dem-1067	120	19	l	l	NOUN
dem-1067	120	20	x	x	X
dem-1067	120	21	w	w	NOUN
dem-1067	120	22	l	l	NOUN
dem-1067	120	23	l	l	NOUN
dem-1067	120	24	l	l	NOUN
dem-1067	120	25	x	x	X
dem-1067	120	26	w	w	NOUN
dem-1067	120	27	l	l	NOUN
dem-1067	120	28	l	l	NOUN
dem-1067	120	29			PROPN
dem-1067	120	30			PROPN
dem-1067	120	31			PUNCT
dem-1067	120	32			PROPN
dem-1067	120	33			PROPN
dem-1067	120	34			ADV
dem-1067	120	35			VERB
dem-1067	120	36			PROPN
dem-1067	120	37			PROPN
dem-1067	120	38			PUNCT
dem-1067	120	39			PROPN
dem-1067	120	40			PROPN
dem-1067	120	41			NUM
dem-1067	120	42			ADV
dem-1067	120	43			PROPN
dem-1067	120	44			VERB
dem-1067	120	45			PROPN
dem-1067	120	46			PROPN
dem-1067	120	47			PROPN
dem-1067	120	48			PART
dem-1067	120	49			PROPN
dem-1067	120	50			PROPN
dem-1067	120	51			PROPN
dem-1067	120	52			PROPN
dem-1067	120	53			PROPN
dem-1067	120	54			PROPN
dem-1067	120	55			ADJ
dem-1067	120	56			X
dem-1067	120	57			PROPN
dem-1067	120	58			PROPN
dem-1067	120	59			PROPN
dem-1067	120	60			PROPN
dem-1067	120	61			PROPN
dem-1067	120	62			NOUN
dem-1067	120	63	4	4	NUM
dem-1067	120	64	2	2	NUM
dem-1067	120	65	41	41	NUM
dem-1067	120	66	3,7	3,7	NUM
dem-1067	120	67	,	,	PUNCT
dem-1067	120	68	8)(1	8)(1	NUM
dem-1067	120	69	)	)	PUNCT
dem-1067	120	70	,	,	PUNCT
dem-1067	120	71	(	(	PUNCT
dem-1067	120	72	1	1	X
dem-1067	120	73	)	)	PUNCT
dem-1067	120	74	(	(	PUNCT
dem-1067	120	75	1	1	X
dem-1067	120	76	)	)	PUNCT
dem-1067	120	77	(	(	PUNCT
dem-1067	120	78	1	1	X
dem-1067	120	79	)	)	PUNCT
dem-1067	120	80	.t	.t	PROPN
dem-1067	121	1	t	t	AUX
dem-1067	121	2	tl	tl	PROPN
dem-1067	121	3	x	x	PROPN
dem-1067	121	4	w	w	PROPN
dem-1067	121	5	l	l	PROPN
dem-1067	121	6	l	l	NOUN
dem-1067	121	7	l	l	NOUN
dem-1067	121	8	x	x	PROPN
dem-1067	121	9			PROPN
dem-1067	121	10			PROPN
dem-1067	121	11			SYM
dem-1067	121	12			NOUN
dem-1067	121	13	the	the	DET
dem-1067	121	14	so	so	ADV
dem-1067	121	15	-	-	PUNCT
dem-1067	121	16	called	call	VERB
dem-1067	121	17	sequency	sequency	NOUN
dem-1067	121	18	ordering	ordering	NOUN
dem-1067	121	19	instead	instead	ADV
dem-1067	121	20	of	of	ADP
dem-1067	121	21	the	the	DET
dem-1067	121	22	natural	natural	ADJ
dem-1067	121	23	ordering	ordering	NOUN
dem-1067	121	24	is	be	AUX
dem-1067	121	25	applied	apply	VERB
dem-1067	121	26	to	to	ADP
dem-1067	121	27	the	the	DET
dem-1067	121	28	coefficients	coefficient	NOUN
dem-1067	121	29	above	above	ADV
dem-1067	121	30	,	,	PUNCT
dem-1067	121	31	i.e.	i.e.	X
dem-1067	121	32	the	the	DET
dem-1067	121	33	index	index	NOUN
dem-1067	121	34	n	n	PART
dem-1067	121	35	is	be	AUX
dem-1067	121	36	associated	associate	VERB
dem-1067	121	37	with	with	ADP
dem-1067	121	38	the	the	DET
dem-1067	121	39	frequency	frequency	NOUN
dem-1067	121	40	interval	interval	NOUN
dem-1067	121	41			NOUN
dem-1067	121	42			NOUN
dem-1067	121	43			PROPN
dem-1067	121	44			PROPN
dem-1067	121	45			NOUN
dem-1067	121	46			ADV
dem-1067	121	47			PROPN
dem-1067	121	48	11	11	NUM
dem-1067	121	49	2	2	NUM
dem-1067	121	50	1	1	NUM
dem-1067	121	51	,	,	PUNCT
dem-1067	121	52	2	2	NUM
dem-1067	121	53	jj	jj	PROPN
dem-1067	121	54	nn	nn	PROPN
dem-1067	121	55	.	.	PUNCT
dem-1067	122	1	in	in	ADP
dem-1067	122	2	the	the	DET
dem-1067	122	3	case	case	NOUN
dem-1067	122	4	of	of	ADP
dem-1067	122	5	the	the	DET
dem-1067	122	6	usual	usual	ADJ
dem-1067	122	7	wavelet	wavelet	NOUN
dem-1067	122	8	decomposition	decomposition	NOUN
dem-1067	122	9	at	at	ADP
dem-1067	122	10	level	level	NOUN
dem-1067	122	11	j	j	NOUN
dem-1067	122	12	=	=	SYM
dem-1067	122	13	3	3	NUM
dem-1067	122	14	we	we	PRON
dem-1067	122	15	would	would	AUX
dem-1067	122	16	have	have	VERB
dem-1067	122	17	four	four	NUM
dem-1067	122	18	coefficients	coefficient	NOUN
dem-1067	122	19	of	of	ADP
dem-1067	122	20	the	the	DET
dem-1067	122	21	form	form	NOUN
dem-1067	122	22	:	:	PUNCT
dem-1067	122	23	tw	tw	NOUN
dem-1067	122	24	,	,	PUNCT
dem-1067	122	25	0,3	0,3	NOUN
dem-1067	122	26	~	~	PUNCT
dem-1067	122	27	,	,	PUNCT
dem-1067	122	28	tw	tw	INTJ
dem-1067	122	29	,	,	PUNCT
dem-1067	122	30	1,3	1,3	NUM
dem-1067	122	31	~	~	PUNCT
dem-1067	122	32	,	,	PUNCT
dem-1067	122	33	tt	tt	PROPN
dem-1067	122	34	ww	ww	PROPN
dem-1067	122	35	,	,	PUNCT
dem-1067	122	36	3,3,2,3	3,3,2,3	NUM
dem-1067	122	37	~~	~~	NUM
dem-1067	122	38			ADV
dem-1067	122	39	and	and	CCONJ
dem-1067	122	40	tttt	tttt	PROPN
dem-1067	122	41	wwww	wwww	PROPN
dem-1067	122	42	,	,	PUNCT
dem-1067	122	43	7,3,6,3,5,3,4,3	7,3,6,3,5,3,4,3	NUM
dem-1067	122	44	~~~~	~~~~	PUNCT
dem-1067	122	45			ADV
dem-1067	122	46	.	.	PUNCT
dem-1067	123	1	as	as	SCONJ
dem-1067	123	2	we	we	PRON
dem-1067	123	3	can	can	AUX
dem-1067	123	4	see	see	VERB
dem-1067	123	5	,	,	PUNCT
dem-1067	123	6	within	within	ADP
dem-1067	123	7	the	the	DET
dem-1067	123	8	modwpt	modwpt	PROPN
dem-1067	123	9	framework	framework	NOUN
dem-1067	123	10	the	the	DET
dem-1067	123	11	hypothesis	hypothesis	NOUN
dem-1067	123	12	about	about	ADP
dem-1067	123	13	scale	scale	NOUN
dem-1067	123	14	dependence	dependence	NOUN
dem-1067	123	15	of	of	ADP
dem-1067	123	16	the	the	DET
dem-1067	123	17	regression	regression	NOUN
dem-1067	123	18	coefficient	coefficient	NOUN
dem-1067	123	19	is	be	AUX
dem-1067	123	20	just	just	ADV
dem-1067	123	21	one	one	NUM
dem-1067	123	22	that	that	PRON
dem-1067	123	23	can	can	AUX
dem-1067	123	24	be	be	AUX
dem-1067	123	25	tested	test	VERB
dem-1067	123	26	.	.	PUNCT
dem-1067	124	1	building	build	VERB
dem-1067	124	2	the	the	DET
dem-1067	124	3	haar	haar	PROPN
dem-1067	124	4	wavelet	wavelet	NOUN
dem-1067	124	5	packet	packet	NOUN
dem-1067	124	6	regression	regression	NOUN
dem-1067	124	7	model	model	NOUN
dem-1067	124	8	for	for	ADP
dem-1067	124	9	forecasting	forecasting	NOUN
dem-1067	124	10	purposes	purpose	NOUN
dem-1067	124	11	we	we	PRON
dem-1067	124	12	expect	expect	VERB
dem-1067	124	13	that	that	SCONJ
dem-1067	124	14	the	the	DET
dem-1067	124	15	best	good	ADJ
dem-1067	124	16	basis	basis	NOUN
dem-1067	124	17	will	will	AUX
dem-1067	124	18	be	be	AUX
dem-1067	124	19	different	different	ADJ
dem-1067	124	20	from	from	ADP
dem-1067	124	21	that	that	PRON
dem-1067	124	22	including	include	VERB
dem-1067	124	23	all	all	DET
dem-1067	124	24	the	the	DET
dem-1067	124	25	k	k	ADJ
dem-1067	124	26	-	-	PUNCT
dem-1067	124	27	level	level	ADJ
dem-1067	124	28	modwpt	modwpt	NOUN
dem-1067	124	29	coefficients	coefficient	NOUN
dem-1067	124	30	or	or	CCONJ
dem-1067	124	31	that	that	SCONJ
dem-1067	124	32	quite	quite	DET
dem-1067	124	33	a	a	DET
dem-1067	124	34	big	big	ADJ
dem-1067	124	35	number	number	NOUN
dem-1067	124	36	of	of	ADP
dem-1067	124	37	them	they	PRON
dem-1067	124	38	will	will	AUX
dem-1067	124	39	turn	turn	VERB
dem-1067	124	40	out	out	ADP
dem-1067	124	41	to	to	PART
dem-1067	124	42	be	be	AUX
dem-1067	124	43	insignificant	insignificant	ADJ
dem-1067	124	44	.	.	PUNCT
dem-1067	125	1	however	however	ADV
dem-1067	125	2	,	,	PUNCT
dem-1067	125	3	even	even	ADV
dem-1067	125	4	if	if	SCONJ
dem-1067	125	5	no	no	DET
dem-1067	125	6	reduction	reduction	NOUN
dem-1067	125	7	is	be	AUX
dem-1067	125	8	possible	possible	ADJ
dem-1067	125	9	,	,	PUNCT
dem-1067	125	10	we	we	PRON
dem-1067	125	11	still	still	ADV
dem-1067	125	12	gain	gain	VERB
dem-1067	125	13	an	an	DET
dem-1067	125	14	interesting	interesting	ADJ
dem-1067	125	15	interpretation	interpretation	NOUN
dem-1067	125	16	of	of	ADP
dem-1067	125	17	the	the	DET
dem-1067	125	18	coefficients	coefficient	NOUN
dem-1067	125	19	.	.	PUNCT
dem-1067	126	1	turning	turn	VERB
dem-1067	126	2	to	to	ADP
dem-1067	126	3	the	the	DET
dem-1067	126	4	specification	specification	NOUN
dem-1067	126	5	step	step	NOUN
dem-1067	126	6	in	in	ADP
dem-1067	126	7	building	build	VERB
dem-1067	126	8	the	the	DET
dem-1067	126	9	haar	haar	NOUN
dem-1067	126	10	wavelet	wavelet	NOUN
dem-1067	126	11	transfer	transfer	NOUN
dem-1067	126	12	function	function	NOUN
dem-1067	126	13	models	model	NOUN
dem-1067	126	14	several	several	ADJ
dem-1067	126	15	remarks	remark	NOUN
dem-1067	126	16	are	be	AUX
dem-1067	126	17	at	at	ADP
dem-1067	126	18	place	place	NOUN
dem-1067	126	19	.	.	PUNCT
dem-1067	127	1	first	first	ADV
dem-1067	127	2	,	,	PUNCT
dem-1067	127	3	let	let	VERB
dem-1067	127	4	us	we	PRON
dem-1067	127	5	note	note	VERB
dem-1067	127	6	that	that	SCONJ
dem-1067	127	7	the	the	DET
dem-1067	127	8	regressors	regressor	NOUN
dem-1067	127	9	in	in	ADP
dem-1067	127	10	model	model	NOUN
dem-1067	127	11	(	(	PUNCT
dem-1067	127	12	1	1	X
dem-1067	127	13	)	)	PUNCT
dem-1067	127	14	are	be	AUX
dem-1067	127	15	generally	generally	ADV
dem-1067	127	16	not	not	PART
dem-1067	127	17	pairwise	pairwise	NOUN
dem-1067	127	18	orthogonal	orthogonal	NOUN
dem-1067	127	19	.	.	PUNCT
dem-1067	128	1	though	though	SCONJ
dem-1067	128	2	for	for	ADP
dem-1067	128	3	the	the	DET
dem-1067	128	4	haar	haar	X
dem-1067	128	5	wavelet	wavelet	NOUN
dem-1067	128	6	and	and	CCONJ
dem-1067	128	7	scaling	scale	VERB
dem-1067	128	8	filters	filter	NOUN
dem-1067	128	9	both	both	CCONJ
dem-1067	128	10	the	the	DET
dem-1067	128	11	additive	additive	ADJ
dem-1067	128	12	decomposition	decomposition	NOUN
dem-1067	128	13	and	and	CCONJ
dem-1067	128	14	the	the	DET
dem-1067	128	15	decomposition	decomposition	NOUN
dem-1067	128	16	of	of	ADP
dem-1067	128	17	variance	variance	NOUN
dem-1067	128	18	hold	hold	NOUN
dem-1067	128	19	,	,	PUNCT
dem-1067	128	20	i.e.	i.e.	X
dem-1067	128	21	for	for	ADP
dem-1067	128	22	the	the	DET
dem-1067	128	23	wavelet	wavelet	NOUN
dem-1067	128	24	basis	basis	NOUN
dem-1067	128	25	,	,	PUNCT
dem-1067	128	26	for	for	ADP
dem-1067	128	27	example	example	NOUN
dem-1067	128	28	,	,	PUNCT
dem-1067	128	29	we	we	PRON
dem-1067	128	30	have	have	VERB
dem-1067	128	31	:	:	PUNCT
dem-1067	128	32	x	x	PUNCT
dem-1067	128	33	kt	kt	PROPN
dem-1067	128	34	x	x	SYM
dem-1067	128	35	t	t	PROPN
dem-1067	128	36	x	x	SYM
dem-1067	128	37	ktt	ktt	PROPN
dem-1067	128	38	wwvx	wwvx	PROPN
dem-1067	128	39	~~~	~~~	PUNCT
dem-1067	128	40	1	1	NUM
dem-1067	128	41			NOUN
dem-1067	128	42			NUM
dem-1067	128	43	,	,	PUNCT
dem-1067	128	44	1var	1var	PROPN
dem-1067	128	45	(	(	PUNCT
dem-1067	128	46	)	)	PUNCT
dem-1067	128	47	var	var	NOUN
dem-1067	128	48	(	(	PUNCT
dem-1067	128	49	)	)	PUNCT
dem-1067	128	50	var	var	NOUN
dem-1067	128	51	(	(	PUNCT
dem-1067	128	52	)	)	PUNCT
dem-1067	128	53	var	var	NOUN
dem-1067	128	54	(	(	PUNCT
dem-1067	128	55	)	)	PUNCT
dem-1067	128	56	x	x	SYM
dem-1067	129	1	x	x	PUNCT
dem-1067	129	2	x	x	SYM
dem-1067	129	3	t	t	NOUN
dem-1067	129	4	kt	kt	PROPN
dem-1067	129	5	t	t	PROPN
dem-1067	129	6	ktx	ktx	PROPN
dem-1067	129	7	v	v	PROPN
dem-1067	129	8	w	w	PROPN
dem-1067	129	9	w	w	PROPN
dem-1067	129	10			PROPN
dem-1067	129	11			PUNCT
dem-1067	129	12			NOUN
dem-1067	129	13			NOUN
dem-1067	129	14			PROPN
dem-1067	129	15	,	,	PUNCT
dem-1067	129	16	what	what	PRON
dem-1067	129	17	implies	imply	VERB
dem-1067	129	18	also	also	ADV
dem-1067	129	19	that	that	SCONJ
dem-1067	129	20	for	for	ADP
dem-1067	129	21	all	all	DET
dem-1067	129	22	decomposition	decomposition	NOUN
dem-1067	129	23	levels	level	NOUN
dem-1067	129	24	j	j	PROPN
dem-1067	130	1	it	it	PRON
dem-1067	130	2	holds	hold	VERB
dem-1067	130	3	:	:	PUNCT
dem-1067	130	4	cov	cov	PROPN
dem-1067	130	5	(	(	PUNCT
dem-1067	130	6	,	,	PUNCT
dem-1067	130	7	)	)	PUNCT
dem-1067	130	8	0x	0x	NOUN
dem-1067	130	9	x	x	PROPN
dem-1067	130	10	jt	jt	PROPN
dem-1067	130	11	jtv	jtv	PROPN
dem-1067	131	1	w	w	PROPN
dem-1067	131	2			PROPN
dem-1067	131	3			NOUN
dem-1067	131	4	,	,	PUNCT
dem-1067	131	5	the	the	DET
dem-1067	131	6	wavelet	wavelet	NOUN
dem-1067	131	7	coefficients	coefficient	VERB
dem-1067	131	8	themselves	themselves	PRON
dem-1067	131	9	will	will	AUX
dem-1067	131	10	be	be	AUX
dem-1067	131	11	generally	generally	ADV
dem-1067	131	12	correlated	correlate	VERB
dem-1067	131	13	.	.	PUNCT
dem-1067	132	1	for	for	ADP
dem-1067	132	2	example	example	NOUN
dem-1067	132	3	,	,	PUNCT
dem-1067	132	4	it	it	PRON
dem-1067	132	5	is	be	AUX
dem-1067	132	6	easy	easy	ADJ
dem-1067	132	7	to	to	PART
dem-1067	132	8	check	check	VERB
dem-1067	132	9	that	that	PRON
dem-1067	132	10	:	:	PUNCT
dem-1067	132	11	the	the	DET
dem-1067	132	12	haar	haar	PROPN
dem-1067	132	13	wavelet	wavelet	NOUN
dem-1067	132	14	transfer	transfer	NOUN
dem-1067	132	15	function	function	NOUN
dem-1067	132	16	model	model	NOUN
dem-1067	132	17	and	and	CCONJ
dem-1067	132	18	its	its	PRON
dem-1067	132	19	applications	application	NOUN
dem-1067	132	20	147	147	NUM
dem-1067	132	21	1	1	NUM
dem-1067	132	22	2	2	NUM
dem-1067	132	23	1	1	NUM
dem-1067	132	24	2cov	2cov	NUM
dem-1067	132	25	(	(	PUNCT
dem-1067	132	26	,	,	PUNCT
dem-1067	132	27	)	)	PUNCT
dem-1067	132	28	1	1	NUM
dem-1067	132	29	8	8	NUM
dem-1067	132	30	[	[	PUNCT
dem-1067	132	31	(	(	PUNCT
dem-1067	132	32	1	1	NUM
dem-1067	132	33	)	)	PUNCT
dem-1067	132	34	(	(	PUNCT
dem-1067	132	35	3	3	NUM
dem-1067	132	36	)	)	PUNCT
dem-1067	132	37	]	]	PUNCT
dem-1067	132	38	cov	cov	PROPN
dem-1067	132	39	(	(	PUNCT
dem-1067	132	40	,	,	PUNCT
dem-1067	132	41	)	)	PUNCT
dem-1067	133	1	t	t	NOUN
dem-1067	133	2	t	t	NOUN
dem-1067	133	3	x	x	PUNCT
dem-1067	133	4	x	x	SYM
dem-1067	133	5	t	t	NOUN
dem-1067	133	6	tw	tw	PROPN
dem-1067	133	7	w	w	PROPN
dem-1067	133	8	k	k	PROPN
dem-1067	133	9	k	k	PROPN
dem-1067	133	10	w	w	PROPN
dem-1067	133	11	v	v	ADJ
dem-1067	133	12			PROPN
dem-1067	133	13			PROPN
dem-1067	133	14			PROPN
dem-1067	133	15			X
dem-1067	133	16			PROPN
dem-1067	133	17			NOUN
dem-1067	133	18	,	,	PUNCT
dem-1067	133	19	where	where	SCONJ
dem-1067	133	20	)	)	PUNCT
dem-1067	133	21	(	(	PUNCT
dem-1067	133	22	xk	xk	ADV
dem-1067	133	23	denotes	denote	VERB
dem-1067	133	24	the	the	DET
dem-1067	133	25	autocovariance	autocovariance	NOUN
dem-1067	133	26	function	function	NOUN
dem-1067	133	27	of	of	ADP
dem-1067	133	28	tx	tx	PROPN
dem-1067	133	29	.	.	PUNCT
dem-1067	134	1	the	the	DET
dem-1067	134	2	crosscovariances	crosscovariance	NOUN
dem-1067	134	3	can	can	AUX
dem-1067	134	4	be	be	AUX
dem-1067	134	5	even	even	ADV
dem-1067	134	6	larger	large	ADJ
dem-1067	134	7	.	.	PUNCT
dem-1067	135	1	this	this	PRON
dem-1067	135	2	makes	make	VERB
dem-1067	135	3	the	the	DET
dem-1067	135	4	identification	identification	NOUN
dem-1067	135	5	of	of	ADP
dem-1067	135	6	the	the	DET
dem-1067	135	7	model	model	NOUN
dem-1067	135	8	slightly	slightly	ADV
dem-1067	135	9	more	more	ADV
dem-1067	135	10	complicated	complicated	ADJ
dem-1067	135	11	.	.	PUNCT
dem-1067	136	1	a	a	DET
dem-1067	136	2	good	good	ADJ
dem-1067	136	3	starting	starting	NOUN
dem-1067	136	4	point	point	NOUN
dem-1067	136	5	in	in	ADP
dem-1067	136	6	the	the	DET
dem-1067	136	7	procedure	procedure	NOUN
dem-1067	136	8	of	of	ADP
dem-1067	136	9	building	build	VERB
dem-1067	136	10	the	the	DET
dem-1067	136	11	haar	haar	PROPN
dem-1067	136	12	wavelet	wavelet	NOUN
dem-1067	136	13	model	model	NOUN
dem-1067	136	14	is	be	AUX
dem-1067	136	15	as	as	ADP
dem-1067	136	16	in	in	ADP
dem-1067	136	17	the	the	DET
dem-1067	136	18	case	case	NOUN
dem-1067	136	19	of	of	ADP
dem-1067	136	20	an	an	DET
dem-1067	136	21	ordinary	ordinary	ADJ
dem-1067	136	22	transfer	transfer	NOUN
dem-1067	136	23	function	function	NOUN
dem-1067	136	24	model	model	NOUN
dem-1067	136	25	(	(	PUNCT
dem-1067	136	26	see	see	VERB
dem-1067	136	27	box	box	PROPN
dem-1067	136	28	et	et	PROPN
dem-1067	136	29	al	al	PROPN
dem-1067	136	30	.	.	PROPN
dem-1067	136	31	,	,	PUNCT
dem-1067	136	32	2008	2008	NUM
dem-1067	136	33	,	,	PUNCT
dem-1067	136	34	chapter	chapter	NOUN
dem-1067	136	35	xii	xii	PROPN
dem-1067	136	36	)	)	PUNCT
dem-1067	136	37	,	,	PUNCT
dem-1067	136	38	i.e.	i.e.	X
dem-1067	136	39	after	after	ADP
dem-1067	136	40	differencing	difference	VERB
dem-1067	136	41	the	the	DET
dem-1067	136	42	series	series	NOUN
dem-1067	136	43	to	to	PART
dem-1067	136	44	achieve	achieve	VERB
dem-1067	136	45	stationarity	stationarity	NOUN
dem-1067	136	46	they	they	PRON
dem-1067	136	47	are	be	AUX
dem-1067	136	48	filtered	filter	VERB
dem-1067	136	49	with	with	ADP
dem-1067	136	50	a	a	DET
dem-1067	136	51	prewhitening	prewhitene	VERB
dem-1067	136	52	arma	arma	NOUN
dem-1067	136	53	filter	filter	NOUN
dem-1067	136	54	for	for	ADP
dem-1067	136	55	the	the	DET
dem-1067	136	56	exogenous	exogenous	ADJ
dem-1067	136	57	process	process	NOUN
dem-1067	136	58	.	.	PUNCT
dem-1067	137	1	then	then	ADV
dem-1067	137	2	,	,	PUNCT
dem-1067	137	3	the	the	DET
dem-1067	137	4	cross	cross	ADJ
dem-1067	137	5	-	-	ADJ
dem-1067	137	6	correlation	correlation	ADJ
dem-1067	137	7	function	function	NOUN
dem-1067	137	8	for	for	ADP
dem-1067	137	9	the	the	DET
dem-1067	137	10	filtered	filter	VERB
dem-1067	137	11	series	series	NOUN
dem-1067	137	12	is	be	AUX
dem-1067	137	13	computed	compute	VERB
dem-1067	137	14	.	.	PUNCT
dem-1067	138	1	the	the	DET
dem-1067	138	2	shape	shape	NOUN
dem-1067	138	3	of	of	ADP
dem-1067	138	4	this	this	DET
dem-1067	138	5	function	function	NOUN
dem-1067	138	6	and	and	CCONJ
dem-1067	138	7	results	result	NOUN
dem-1067	138	8	of	of	ADP
dem-1067	138	9	significance	significance	NOUN
dem-1067	138	10	tests	test	NOUN
dem-1067	138	11	of	of	ADP
dem-1067	138	12	the	the	DET
dem-1067	138	13	cross	cross	ADJ
dem-1067	138	14	-	-	ADJ
dem-1067	138	15	correlation	correlation	ADJ
dem-1067	138	16	coefficients	coefficient	NOUN
dem-1067	138	17	will	will	AUX
dem-1067	138	18	suggest	suggest	VERB
dem-1067	138	19	orders	order	NOUN
dem-1067	138	20	of	of	ADP
dem-1067	138	21	lag	lag	NOUN
dem-1067	138	22	polynomials	polynomial	NOUN
dem-1067	138	23	for	for	ADP
dem-1067	138	24	a	a	DET
dem-1067	138	25	transfer	transfer	NOUN
dem-1067	138	26	function	function	NOUN
dem-1067	138	27	model	model	NOUN
dem-1067	138	28	and	and	CCONJ
dem-1067	138	29	inform	inform	VERB
dem-1067	138	30	whether	whether	SCONJ
dem-1067	138	31	a	a	DET
dem-1067	138	32	haar	haar	PROPN
dem-1067	138	33	wavelet	wavelet	NOUN
dem-1067	138	34	model	model	NOUN
dem-1067	138	35	can	can	AUX
dem-1067	138	36	be	be	AUX
dem-1067	138	37	successful	successful	ADJ
dem-1067	138	38	.	.	PUNCT
dem-1067	139	1	the	the	DET
dem-1067	139	2	wavelet	wavelet	NOUN
dem-1067	139	3	model	model	NOUN
dem-1067	139	4	offers	offer	VERB
dem-1067	139	5	a	a	DET
dem-1067	139	6	specific	specific	ADJ
dem-1067	139	7	approach	approach	NOUN
dem-1067	139	8	to	to	ADP
dem-1067	139	9	a	a	DET
dem-1067	139	10	(	(	PUNCT
dem-1067	139	11	relatively	relatively	ADV
dem-1067	139	12	)	)	PUNCT
dem-1067	139	13	parsimonious	parsimonious	ADJ
dem-1067	139	14	parametrisation	parametrisation	NOUN
dem-1067	139	15	of	of	ADP
dem-1067	139	16	the	the	DET
dem-1067	139	17	impulse	impulse	ADJ
dem-1067	139	18	response	response	NOUN
dem-1067	139	19	function	function	NOUN
dem-1067	139	20	that	that	PRON
dem-1067	139	21	can	can	AUX
dem-1067	139	22	be	be	AUX
dem-1067	139	23	applied	apply	VERB
dem-1067	139	24	instead	instead	ADV
dem-1067	139	25	of	of	ADP
dem-1067	139	26	or	or	CCONJ
dem-1067	139	27	next	next	ADV
dem-1067	139	28	to	to	ADP
dem-1067	139	29	the	the	DET
dem-1067	139	30	standard	standard	ADJ
dem-1067	139	31	autoregressive	autoregressive	ADJ
dem-1067	139	32	structures	structure	NOUN
dem-1067	139	33	.	.	PUNCT
dem-1067	140	1	furthermore	furthermore	ADV
dem-1067	140	2	,	,	PUNCT
dem-1067	140	3	the	the	DET
dem-1067	140	4	identification	identification	NOUN
dem-1067	140	5	stage	stage	NOUN
dem-1067	140	6	will	will	AUX
dem-1067	140	7	give	give	VERB
dem-1067	140	8	also	also	ADV
dem-1067	140	9	the	the	DET
dem-1067	140	10	minimal	minimal	ADJ
dem-1067	140	11	time	time	NOUN
dem-1067	140	12	delay	delay	NOUN
dem-1067	140	13	for	for	ADP
dem-1067	140	14	the	the	DET
dem-1067	140	15	component	component	NOUN
dem-1067	140	16	series	series	NOUN
dem-1067	140	17	and	and	CCONJ
dem-1067	140	18	will	will	AUX
dem-1067	140	19	suggest	suggest	VERB
dem-1067	140	20	the	the	DET
dem-1067	140	21	number	number	NOUN
dem-1067	140	22	of	of	ADP
dem-1067	140	23	decomposition	decomposition	NOUN
dem-1067	140	24	levels	level	NOUN
dem-1067	140	25	for	for	ADP
dem-1067	140	26	the	the	DET
dem-1067	140	27	additive	additive	ADJ
dem-1067	140	28	decomposition	decomposition	NOUN
dem-1067	140	29	.	.	PUNCT
dem-1067	141	1	however	however	ADV
dem-1067	141	2	,	,	PUNCT
dem-1067	141	3	it	it	PRON
dem-1067	141	4	seems	seem	VERB
dem-1067	141	5	sensible	sensible	ADJ
dem-1067	141	6	to	to	PART
dem-1067	141	7	start	start	VERB
dem-1067	141	8	with	with	ADP
dem-1067	141	9	specifying	specify	VERB
dem-1067	141	10	the	the	DET
dem-1067	141	11	same	same	ADJ
dem-1067	141	12	time	time	NOUN
dem-1067	141	13	delays	delay	NOUN
dem-1067	141	14	for	for	ADP
dem-1067	141	15	all	all	DET
dem-1067	141	16	component	component	NOUN
dem-1067	141	17	series	series	NOUN
dem-1067	141	18	and	and	CCONJ
dem-1067	141	19	then	then	ADV
dem-1067	141	20	consider	consider	VERB
dem-1067	141	21	also	also	ADV
dem-1067	141	22	other	other	ADJ
dem-1067	141	23	models	model	NOUN
dem-1067	141	24	,	,	PUNCT
dem-1067	141	25	especially	especially	ADV
dem-1067	141	26	if	if	SCONJ
dem-1067	141	27	the	the	DET
dem-1067	141	28	maximal	maximal	ADJ
dem-1067	141	29	values	value	NOUN
dem-1067	141	30	of	of	ADP
dem-1067	141	31	crosscorrelations	crosscorrelation	NOUN
dem-1067	141	32	for	for	ADP
dem-1067	141	33	component	component	NOUN
dem-1067	141	34	processes	process	NOUN
dem-1067	141	35	or	or	CCONJ
dem-1067	141	36	an	an	DET
dem-1067	141	37	estimate	estimate	NOUN
dem-1067	141	38	of	of	ADP
dem-1067	141	39	the	the	DET
dem-1067	141	40	phase	phase	NOUN
dem-1067	141	41	spectrum	spectrum	NOUN
dem-1067	141	42	point	point	NOUN
dem-1067	141	43	to	to	ADP
dem-1067	141	44	the	the	DET
dem-1067	141	45	need	need	NOUN
dem-1067	141	46	to	to	PART
dem-1067	141	47	diversify	diversify	VERB
dem-1067	141	48	these	these	DET
dem-1067	141	49	parameters	parameter	NOUN
dem-1067	141	50	.	.	PUNCT
dem-1067	142	1	several	several	ADJ
dem-1067	142	2	tentative	tentative	ADJ
dem-1067	142	3	models	model	NOUN
dem-1067	142	4	can	can	AUX
dem-1067	142	5	then	then	ADV
dem-1067	142	6	be	be	AUX
dem-1067	142	7	considered	consider	VERB
dem-1067	142	8	in	in	ADP
dem-1067	142	9	further	further	ADJ
dem-1067	142	10	steps	step	NOUN
dem-1067	142	11	of	of	ADP
dem-1067	142	12	the	the	DET
dem-1067	142	13	haar	haar	PROPN
dem-1067	142	14	model	model	PROPN
dem-1067	142	15	building	building	PROPN
dem-1067	142	16	,	,	PUNCT
dem-1067	142	17	which	which	PRON
dem-1067	142	18	are	be	AUX
dem-1067	142	19	exactly	exactly	ADV
dem-1067	142	20	the	the	DET
dem-1067	142	21	same	same	ADJ
dem-1067	142	22	as	as	ADP
dem-1067	142	23	in	in	ADP
dem-1067	142	24	the	the	DET
dem-1067	142	25	case	case	NOUN
dem-1067	142	26	of	of	ADP
dem-1067	142	27	standard	standard	ADJ
dem-1067	142	28	transfer	transfer	NOUN
dem-1067	142	29	function	function	NOUN
dem-1067	142	30	models	model	NOUN
dem-1067	142	31	.	.	PUNCT
dem-1067	143	1	in	in	ADP
dem-1067	143	2	particular	particular	ADJ
dem-1067	143	3	,	,	PUNCT
dem-1067	143	4	the	the	DET
dem-1067	143	5	diagnostic	diagnostic	ADJ
dem-1067	143	6	checking	checking	NOUN
dem-1067	143	7	stage	stage	NOUN
dem-1067	143	8	includes	include	VERB
dem-1067	143	9	also	also	ADV
dem-1067	143	10	the	the	DET
dem-1067	143	11	inspection	inspection	NOUN
dem-1067	143	12	of	of	ADP
dem-1067	143	13	the	the	DET
dem-1067	143	14	autocorrelation	autocorrelation	NOUN
dem-1067	143	15	function	function	NOUN
dem-1067	143	16	of	of	ADP
dem-1067	143	17	the	the	DET
dem-1067	143	18	residuals	residual	NOUN
dem-1067	143	19	and	and	CCONJ
dem-1067	143	20	the	the	DET
dem-1067	143	21	cross	cross	ADJ
dem-1067	143	22	-	-	ADJ
dem-1067	143	23	correlation	correlation	ADJ
dem-1067	143	24	function	function	NOUN
dem-1067	143	25	involving	involve	VERB
dem-1067	143	26	the	the	DET
dem-1067	143	27	residuals	residual	NOUN
dem-1067	143	28	and	and	CCONJ
dem-1067	143	29	the	the	DET
dem-1067	143	30	input	input	NOUN
dem-1067	143	31	variable	variable	NOUN
dem-1067	143	32	or	or	CCONJ
dem-1067	143	33	its	its	PRON
dem-1067	143	34	prewhitened	prewhitene	VERB
dem-1067	143	35	version	version	NOUN
dem-1067	143	36	(	(	PUNCT
dem-1067	143	37	see	see	VERB
dem-1067	143	38	for	for	ADP
dem-1067	143	39	details	detail	NOUN
dem-1067	143	40	box	box	PROPN
dem-1067	143	41	et	et	PROPN
dem-1067	143	42	al	al	PROPN
dem-1067	143	43	.	.	PROPN
dem-1067	143	44	,	,	PUNCT
dem-1067	143	45	2008	2008	NUM
dem-1067	143	46	,	,	PUNCT
dem-1067	143	47	pp	pp	ADP
dem-1067	143	48	.	.	PUNCT
dem-1067	144	1	498–501	498–501	NUM
dem-1067	144	2	)	)	PUNCT
dem-1067	144	3	.	.	PUNCT
dem-1067	145	1	2	2	X
dem-1067	145	2	.	.	X
dem-1067	145	3	an	an	DET
dem-1067	145	4	empirical	empirical	ADJ
dem-1067	145	5	example	example	NOUN
dem-1067	145	6	as	as	ADP
dem-1067	145	7	an	an	DET
dem-1067	145	8	empirical	empirical	ADJ
dem-1067	145	9	illustration	illustration	NOUN
dem-1067	145	10	daily	daily	ADJ
dem-1067	145	11	logarithmic	logarithmic	ADJ
dem-1067	145	12	returns	return	NOUN
dem-1067	145	13	on	on	ADP
dem-1067	145	14	wig	wig	NOUN
dem-1067	145	15	were	be	AUX
dem-1067	145	16	modelled	model	VERB
dem-1067	145	17	with	with	ADP
dem-1067	145	18	the	the	DET
dem-1067	145	19	help	help	NOUN
dem-1067	145	20	of	of	ADP
dem-1067	145	21	the	the	DET
dem-1067	145	22	returns	return	NOUN
dem-1067	145	23	on	on	ADP
dem-1067	145	24	s&p	s&p	PROPN
dem-1067	145	25	500	500	NUM
dem-1067	145	26	.	.	PUNCT
dem-1067	146	1	in	in	ADP
dem-1067	146	2	this	this	DET
dem-1067	146	3	case	case	NOUN
dem-1067	146	4	the	the	DET
dem-1067	146	5	level	level	NOUN
dem-1067	146	6	j	j	NOUN
dem-1067	146	7	scaling	scaling	NOUN
dem-1067	146	8	and	and	CCONJ
dem-1067	146	9	wavelet	wavelet	NOUN
dem-1067	146	10	coefficient	coefficient	NOUN
dem-1067	146	11	based	base	VERB
dem-1067	146	12	on	on	ADP
dem-1067	146	13	the	the	DET
dem-1067	146	14	haar	haar	PROPN
dem-1067	146	15	wavelet	wavelet	NOUN
dem-1067	146	16	are	be	AUX
dem-1067	146	17	associated	associate	VERB
dem-1067	146	18	with	with	ADP
dem-1067	146	19	j2	j2	PROPN
dem-1067	146	20	-day	-day	NOUN
dem-1067	146	21	returns	return	NOUN
dem-1067	146	22	and	and	CCONJ
dem-1067	146	23	daily	daily	ADJ
dem-1067	146	24	increments	increment	NOUN
dem-1067	146	25	of	of	ADP
dem-1067	146	26	j	j	PROPN
dem-1067	146	27	-day	-day	NUM
dem-1067	146	28	returns	return	NOUN
dem-1067	146	29	,	,	PUNCT
dem-1067	146	30	accordingly	accordingly	ADV
dem-1067	146	31	.	.	PUNCT
dem-1067	147	1	the	the	DET
dem-1067	147	2	estimation	estimation	NOUN
dem-1067	147	3	period	period	NOUN
dem-1067	147	4	was	be	AUX
dem-1067	147	5	2008.04.01–2010.04.16	2008.04.01–2010.04.16	NUM
dem-1067	147	6	and	and	CCONJ
dem-1067	147	7	included	include	VERB
dem-1067	147	8	534	534	NUM
dem-1067	147	9	daily	daily	ADJ
dem-1067	147	10	quotations	quotation	NOUN
dem-1067	147	11	.	.	PUNCT
dem-1067	148	1	both	both	CCONJ
dem-1067	148	2	the	the	DET
dem-1067	148	3	johansen	johansen	PROPN
dem-1067	148	4	and	and	CCONJ
dem-1067	148	5	engle	engle	PROPN
dem-1067	148	6	-	-	PUNCT
dem-1067	148	7	granger	granger	PROPN
dem-1067	148	8	approaches	approach	VERB
dem-1067	148	9	to	to	ADP
dem-1067	148	10	cointegration	cointegration	NOUN
dem-1067	148	11	pointed	point	VERB
dem-1067	148	12	to	to	ADP
dem-1067	148	13	the	the	DET
dem-1067	148	14	lack	lack	NOUN
dem-1067	148	15	of	of	ADP
dem-1067	148	16	long	long	ADJ
dem-1067	148	17	-	-	PUNCT
dem-1067	148	18	term	term	NOUN
dem-1067	148	19	relationships	relationship	NOUN
dem-1067	148	20	between	between	ADP
dem-1067	148	21	logarithms	logarithm	NOUN
dem-1067	148	22	of	of	ADP
dem-1067	148	23	prices	price	NOUN
dem-1067	148	24	,	,	PUNCT
dem-1067	148	25	so	so	ADV
dem-1067	148	26	we	we	PRON
dem-1067	148	27	turned	turn	VERB
dem-1067	148	28	to	to	ADP
dem-1067	148	29	examining	examine	VERB
dem-1067	148	30	the	the	DET
dem-1067	148	31	daily	daily	ADJ
dem-1067	148	32	logarithmic	logarithmic	ADJ
dem-1067	148	33	returns	return	NOUN
dem-1067	148	34	.	.	PUNCT
dem-1067	149	1	as	as	SCONJ
dem-1067	149	2	the	the	DET
dem-1067	149	3	returns	return	NOUN
dem-1067	149	4	on	on	ADP
dem-1067	149	5	s&p	s&p	PROPN
dem-1067	149	6	500	500	NUM
dem-1067	149	7	,	,	PUNCT
dem-1067	149	8	when	when	SCONJ
dem-1067	149	9	accounting	account	VERB
dem-1067	149	10	for	for	ADP
dem-1067	149	11	the	the	DET
dem-1067	149	12	garch	garch	NOUN
dem-1067	149	13	effect	effect	NOUN
dem-1067	149	14	,	,	PUNCT
dem-1067	149	15	did	do	AUX
dem-1067	149	16	not	not	PART
dem-1067	149	17	show	show	VERB
dem-1067	149	18	any	any	DET
dem-1067	149	19	signs	sign	NOUN
dem-1067	149	20	of	of	ADP
dem-1067	149	21	autocorrelation	autocorrelation	NOUN
dem-1067	149	22	,	,	PUNCT
dem-1067	149	23	before	before	ADP
dem-1067	149	24	examining	examine	VERB
dem-1067	149	25	cross	cross	ADJ
dem-1067	149	26	-	-	NOUN
dem-1067	149	27	correlation	correlation	NOUN
dem-1067	149	28	patterns	pattern	NOUN
dem-1067	149	29	the	the	DET
dem-1067	149	30	two	two	NUM
dem-1067	149	31	series	series	NOUN
dem-1067	149	32	were	be	AUX
dem-1067	149	33	only	only	ADV
dem-1067	149	34	corrected	correct	VERB
dem-1067	149	35	for	for	ADP
dem-1067	149	36	volatility	volatility	NOUN
dem-1067	149	37	clustering	clustering	NOUN
dem-1067	149	38	.	.	PUNCT
dem-1067	150	1	garch	garch	NOUN
dem-1067	150	2	models	model	NOUN
dem-1067	150	3	with	with	ADP
dem-1067	150	4	student	student	NOUN
dem-1067	150	5	’s	’s	PART
dem-1067	150	6	t	t	PROPN
dem-1067	150	7	conditional	conditional	ADJ
dem-1067	150	8	distribution	distribution	NOUN
dem-1067	150	9	were	be	AUX
dem-1067	150	10	estijoanna	estijoanna	ADJ
dem-1067	150	11	bruzda	bruzda	X
dem-1067	150	12	148	148	NUM
dem-1067	150	13	mated	mate	VERB
dem-1067	150	14	and	and	CCONJ
dem-1067	150	15	the	the	DET
dem-1067	150	16	standardised	standardised	ADJ
dem-1067	150	17	residuals	residual	NOUN
dem-1067	150	18	were	be	AUX
dem-1067	150	19	used	use	VERB
dem-1067	150	20	in	in	ADP
dem-1067	150	21	the	the	DET
dem-1067	150	22	first	first	ADJ
dem-1067	150	23	step	step	NOUN
dem-1067	150	24	of	of	ADP
dem-1067	150	25	the	the	DET
dem-1067	150	26	procedure	procedure	NOUN
dem-1067	150	27	of	of	ADP
dem-1067	150	28	building	build	VERB
dem-1067	150	29	the	the	DET
dem-1067	150	30	haar	haar	NOUN
dem-1067	150	31	wavelet	wavelet	NOUN
dem-1067	150	32	transfer	transfer	NOUN
dem-1067	150	33	function	function	NOUN
dem-1067	150	34	models	model	NOUN
dem-1067	150	35	.	.	PUNCT
dem-1067	151	1	figure	figure	NOUN
dem-1067	151	2	2	2	NUM
dem-1067	151	3	.	.	PUNCT
dem-1067	151	4	estimated	estimate	VERB
dem-1067	151	5	cross	cross	ADJ
dem-1067	151	6	-	-	ADJ
dem-1067	151	7	correlation	correlation	ADJ
dem-1067	151	8	function	function	NOUN
dem-1067	151	9	for	for	ADP
dem-1067	151	10	garch	garch	NOUN
dem-1067	151	11	-	-	PUNCT
dem-1067	151	12	filtered	filter	VERB
dem-1067	151	13	returns	return	NOUN
dem-1067	151	14	on	on	ADP
dem-1067	151	15	wig	wig	NOUN
dem-1067	151	16	and	and	CCONJ
dem-1067	151	17	s&p	s&p	PROPN
dem-1067	151	18	with	with	ADP
dem-1067	151	19	approximate	approximate	ADJ
dem-1067	151	20	two	two	NUM
dem-1067	151	21	standard	standard	ADJ
dem-1067	151	22	error	error	NOUN
dem-1067	151	23	bounds	bound	NOUN
dem-1067	151	24	computed	compute	VERB
dem-1067	151	25	as	as	ADP
dem-1067	151	26	n2	n2	PROPN
dem-1067	151	27	(	(	PUNCT
dem-1067	151	28	xf	xf	PROPN
dem-1067	151	29	and	and	CCONJ
dem-1067	151	30	yf	yf	PROPN
dem-1067	151	31	denote	denote	NOUN
dem-1067	151	32	garch	garch	NOUN
dem-1067	151	33	-	-	PUNCT
dem-1067	151	34	filtered	filter	VERB
dem-1067	151	35	s&p	s&p	PROPN
dem-1067	151	36	and	and	CCONJ
dem-1067	151	37	wig	wig	NOUN
dem-1067	151	38	,	,	PUNCT
dem-1067	151	39	accordingly	accordingly	ADV
dem-1067	151	40	)	)	PUNCT
dem-1067	151	41	figure	figure	NOUN
dem-1067	151	42	2	2	NUM
dem-1067	151	43	presents	present	NOUN
dem-1067	151	44	the	the	DET
dem-1067	151	45	estimated	estimate	VERB
dem-1067	151	46	cross	cross	ADJ
dem-1067	151	47	-	-	ADJ
dem-1067	151	48	correlation	correlation	ADJ
dem-1067	151	49	function	function	NOUN
dem-1067	151	50	for	for	ADP
dem-1067	151	51	the	the	DET
dem-1067	151	52	garch	garch	NOUN
dem-1067	151	53	-	-	PUNCT
dem-1067	151	54	adjusted	adjust	VERB
dem-1067	151	55	returns	return	NOUN
dem-1067	151	56	,	,	PUNCT
dem-1067	151	57	which	which	PRON
dem-1067	151	58	shows	show	VERB
dem-1067	151	59	a	a	DET
dem-1067	151	60	unidirectional	unidirectional	ADJ
dem-1067	151	61	character	character	NOUN
dem-1067	151	62	of	of	ADP
dem-1067	151	63	the	the	DET
dem-1067	151	64	causal	causal	ADJ
dem-1067	151	65	relationship	relationship	NOUN
dem-1067	151	66	and	and	CCONJ
dem-1067	151	67	provides	provide	VERB
dem-1067	151	68	also	also	ADV
dem-1067	151	69	a	a	DET
dem-1067	151	70	slight	slight	ADJ
dem-1067	151	71	evidence	evidence	NOUN
dem-1067	151	72	for	for	ADP
dem-1067	151	73	the	the	DET
dem-1067	151	74	presence	presence	NOUN
dem-1067	151	75	of	of	ADP
dem-1067	151	76	a	a	DET
dem-1067	151	77	longer	long	ADJ
dem-1067	151	78	lag	lag	NOUN
dem-1067	151	79	distribution	distribution	NOUN
dem-1067	151	80	.	.	PUNCT
dem-1067	152	1	initially	initially	ADV
dem-1067	152	2	,	,	PUNCT
dem-1067	152	3	we	we	PRON
dem-1067	152	4	considered	consider	VERB
dem-1067	152	5	up	up	ADP
dem-1067	152	6	to	to	PART
dem-1067	152	7	seven	seven	NUM
dem-1067	152	8	decomposition	decomposition	NOUN
dem-1067	152	9	levels	level	NOUN
dem-1067	152	10	and	and	CCONJ
dem-1067	152	11	then	then	ADV
dem-1067	152	12	used	use	VERB
dem-1067	152	13	wald	wald	NOUN
dem-1067	152	14	tests	test	NOUN
dem-1067	152	15	to	to	PART
dem-1067	152	16	examine	examine	VERB
dem-1067	152	17	equality	equality	NOUN
dem-1067	152	18	of	of	ADP
dem-1067	152	19	parameters	parameter	NOUN
dem-1067	152	20	in	in	ADP
dem-1067	152	21	the	the	DET
dem-1067	152	22	wavelet	wavelet	NOUN
dem-1067	152	23	models	model	NOUN
dem-1067	152	24	.	.	PUNCT
dem-1067	153	1	in	in	ADP
dem-1067	153	2	each	each	DET
dem-1067	153	3	case	case	NOUN
dem-1067	153	4	strict	strict	ADJ
dem-1067	153	5	exogeneity	exogeneity	NOUN
dem-1067	153	6	of	of	ADP
dem-1067	153	7	regressors	regressor	NOUN
dem-1067	153	8	was	be	AUX
dem-1067	153	9	carefully	carefully	ADV
dem-1067	153	10	investigated	investigate	VERB
dem-1067	153	11	in	in	ADP
dem-1067	153	12	order	order	NOUN
dem-1067	153	13	to	to	PART
dem-1067	153	14	enable	enable	VERB
dem-1067	153	15	a	a	DET
dem-1067	153	16	frequency	frequency	NOUN
dem-1067	153	17	characterisation	characterisation	NOUN
dem-1067	153	18	of	of	ADP
dem-1067	153	19	the	the	DET
dem-1067	153	20	relationship	relationship	NOUN
dem-1067	153	21	under	under	ADP
dem-1067	153	22	scrutiny	scrutiny	NOUN
dem-1067	153	23	.	.	PUNCT
dem-1067	154	1	however	however	ADV
dem-1067	154	2	,	,	PUNCT
dem-1067	154	3	for	for	ADP
dem-1067	154	4	some	some	PRON
dem-1067	154	5	of	of	ADP
dem-1067	154	6	the	the	DET
dem-1067	154	7	most	most	ADV
dem-1067	154	8	parsimonious	parsimonious	ADJ
dem-1067	154	9	representations	representation	NOUN
dem-1067	154	10	of	of	ADP
dem-1067	154	11	the	the	DET
dem-1067	154	12	data	datum	NOUN
dem-1067	154	13	the	the	DET
dem-1067	154	14	p	p	NOUN
dem-1067	154	15	-	-	PUNCT
dem-1067	154	16	values	value	NOUN
dem-1067	154	17	are	be	AUX
dem-1067	154	18	sometimes	sometimes	ADV
dem-1067	154	19	still	still	ADV
dem-1067	154	20	only	only	ADV
dem-1067	154	21	slightly	slightly	ADV
dem-1067	154	22	above	above	ADP
dem-1067	154	23	5	5	NUM
dem-1067	154	24	%	%	NOUN
dem-1067	154	25	.	.	PUNCT
dem-1067	155	1	several	several	ADJ
dem-1067	155	2	transfer	transfer	NOUN
dem-1067	155	3	function	function	NOUN
dem-1067	155	4	models	model	NOUN
dem-1067	155	5	were	be	AUX
dem-1067	155	6	finally	finally	ADV
dem-1067	155	7	chosen	choose	VERB
dem-1067	155	8	.	.	PUNCT
dem-1067	156	1	in	in	ADP
dem-1067	156	2	each	each	DET
dem-1067	156	3	case	case	NOUN
dem-1067	156	4	the	the	DET
dem-1067	156	5	noise	noise	NOUN
dem-1067	156	6	process	process	NOUN
dem-1067	156	7	was	be	AUX
dem-1067	156	8	parametrised	parametrise	VERB
dem-1067	156	9	as	as	ADP
dem-1067	156	10	a	a	DET
dem-1067	156	11	moving	move	VERB
dem-1067	156	12	average	average	NOUN
dem-1067	156	13	with	with	ADP
dem-1067	156	14	the	the	DET
dem-1067	156	15	least	least	ADJ
dem-1067	156	16	possible	possible	ADJ
dem-1067	156	17	number	number	NOUN
dem-1067	156	18	of	of	ADP
dem-1067	156	19	parameters	parameter	NOUN
dem-1067	156	20	.	.	PUNCT
dem-1067	157	1	according	accord	VERB
dem-1067	157	2	to	to	ADP
dem-1067	157	3	diagnostic	diagnostic	ADJ
dem-1067	157	4	checks	check	NOUN
dem-1067	157	5	the	the	DET
dem-1067	157	6	conditional	conditional	ADJ
dem-1067	157	7	normal	normal	ADJ
dem-1067	157	8	distribution	distribution	NOUN
dem-1067	157	9	of	of	ADP
dem-1067	157	10	innovations	innovation	NOUN
dem-1067	157	11	was	be	AUX
dem-1067	157	12	eventually	eventually	ADV
dem-1067	157	13	assumed	assume	VERB
dem-1067	157	14	.	.	PUNCT
dem-1067	158	1	also	also	ADV
dem-1067	158	2	some	some	DET
dem-1067	158	3	autoregressive	autoregressive	ADJ
dem-1067	158	4	specifications	specification	NOUN
dem-1067	158	5	were	be	AUX
dem-1067	158	6	examined	examine	VERB
dem-1067	158	7	,	,	PUNCT
dem-1067	158	8	but	but	CCONJ
dem-1067	158	9	the	the	DET
dem-1067	158	10	autoregressive	autoregressive	ADJ
dem-1067	158	11	terms	term	NOUN
dem-1067	158	12	turned	turn	VERB
dem-1067	158	13	out	out	ADP
dem-1067	158	14	insignificant	insignificant	ADJ
dem-1067	158	15	or	or	CCONJ
dem-1067	158	16	produced	produce	VERB
dem-1067	158	17	worse	bad	ADJ
dem-1067	158	18	models	model	NOUN
dem-1067	158	19	and	and	CCONJ
dem-1067	158	20	forecasts	forecast	NOUN
dem-1067	158	21	.	.	PUNCT
dem-1067	159	1	estimation	estimation	NOUN
dem-1067	159	2	outputs	output	NOUN
dem-1067	159	3	for	for	ADP
dem-1067	159	4	the	the	DET
dem-1067	159	5	most	most	ADV
dem-1067	159	6	interesting	interesting	ADJ
dem-1067	159	7	models	model	NOUN
dem-1067	159	8	are	be	AUX
dem-1067	159	9	presented	present	VERB
dem-1067	159	10	in	in	ADP
dem-1067	159	11	tables	table	NOUN
dem-1067	159	12	1–2	1–2	NUM
dem-1067	159	13	.	.	PUNCT
dem-1067	160	1	the	the	DET
dem-1067	160	2	tables	table	NOUN
dem-1067	160	3	include	include	VERB
dem-1067	160	4	also	also	ADV
dem-1067	160	5	the	the	DET
dem-1067	160	6	summary	summary	NOUN
dem-1067	160	7	of	of	ADP
dem-1067	160	8	goodness	goodness	NOUN
dem-1067	160	9	-	-	PUNCT
dem-1067	160	10	of	of	ADP
dem-1067	160	11	-	-	PUNCT
dem-1067	160	12	fit	fit	NOUN
dem-1067	160	13	evaluation	evaluation	NOUN
dem-1067	160	14	and	and	CCONJ
dem-1067	160	15	some	some	PRON
dem-1067	160	16	of	of	ADP
dem-1067	160	17	the	the	DET
dem-1067	160	18	diagnostic	diagnostic	ADJ
dem-1067	160	19	checks	check	NOUN
dem-1067	160	20	.	.	PUNCT
dem-1067	161	1	the	the	DET
dem-1067	161	2	frequency	frequency	NOUN
dem-1067	161	3	characteristics	characteristic	NOUN
dem-1067	161	4	themselves	themselves	PRON
dem-1067	161	5	are	be	AUX
dem-1067	161	6	presented	present	VERB
dem-1067	161	7	in	in	ADP
dem-1067	161	8	figure	figure	NOUN
dem-1067	161	9	3	3	NUM
dem-1067	161	10	.	.	PUNCT
dem-1067	162	1	for	for	ADP
dem-1067	162	2	the	the	DET
dem-1067	162	3	high	high	ADJ
dem-1067	162	4	frequency	frequency	NOUN
dem-1067	162	5	components	component	NOUN
dem-1067	162	6	of	of	ADP
dem-1067	162	7	the	the	DET
dem-1067	162	8	processes	process	NOUN
dem-1067	162	9	the	the	DET
dem-1067	162	10	cross	cross	ADJ
dem-1067	162	11	-	-	ADJ
dem-1067	162	12	spectral	spectral	ADJ
dem-1067	162	13	measures	measure	NOUN
dem-1067	162	14	for	for	ADP
dem-1067	162	15	garch	garch	NOUN
dem-1067	162	16	-	-	PUNCT
dem-1067	162	17	filtered	filter	VERB
dem-1067	162	18	series	series	NOUN
dem-1067	162	19	gave	give	VERB
dem-1067	162	20	somewhat	somewhat	ADV
dem-1067	162	21	better	well	ADJ
dem-1067	162	22	correspondence	correspondence	NOUN
dem-1067	162	23	with	with	ADP
dem-1067	162	24	the	the	DET
dem-1067	162	25	estimates	estimate	NOUN
dem-1067	162	26	in	in	ADP
dem-1067	162	27	tables	table	NOUN
dem-1067	162	28	1–2	1–2	NUM
dem-1067	162	29	than	than	ADP
dem-1067	162	30	that	that	PRON
dem-1067	162	31	for	for	ADP
dem-1067	162	32	the	the	DET
dem-1067	162	33	original	original	ADJ
dem-1067	162	34	series	series	NOUN
dem-1067	162	35	.	.	PUNCT
dem-1067	163	1	nevertheless	nevertheless	ADV
dem-1067	163	2	,	,	PUNCT
dem-1067	163	3	we	we	PRON
dem-1067	163	4	decided	decide	VERB
dem-1067	163	5	to	to	PART
dem-1067	163	6	present	present	VERB
dem-1067	163	7	estimates	estimate	NOUN
dem-1067	163	8	of	of	ADP
dem-1067	163	9	the	the	DET
dem-1067	163	10	spectral	spectral	ADJ
dem-1067	163	11	characteristics	characteristic	NOUN
dem-1067	163	12	for	for	ADP
dem-1067	163	13	the	the	DET
dem-1067	163	14	original	original	ADJ
dem-1067	163	15	data	datum	NOUN
dem-1067	163	16	as	as	SCONJ
dem-1067	163	17	we	we	PRON
dem-1067	163	18	noted	note	VERB
dem-1067	163	19	that	that	SCONJ
dem-1067	163	20	they	they	PRON
dem-1067	163	21	correspond	correspond	VERB
dem-1067	163	22	somewhat	somewhat	ADV
dem-1067	163	23	closer	close	ADV
dem-1067	163	24	to	to	ADP
dem-1067	163	25	the	the	DET
dem-1067	163	26	estimates	estimate	NOUN
dem-1067	163	27	of	of	ADP
dem-1067	163	28	the	the	DET
dem-1067	163	29	long	long	ADJ
dem-1067	163	30	-	-	PUNCT
dem-1067	163	31	term	term	NOUN
dem-1067	163	32	parameters	parameter	NOUN
dem-1067	163	33	in	in	ADP
dem-1067	163	34	tables	table	NOUN
dem-1067	163	35	1–2	1–2	NUM
dem-1067	163	36	.	.	PUNCT
dem-1067	164	1	finally	finally	ADV
dem-1067	164	2	,	,	PUNCT
dem-1067	164	3	table	table	NOUN
dem-1067	164	4	3	3	NUM
dem-1067	164	5	includes	include	VERB
dem-1067	164	6	the	the	DET
dem-1067	164	7	haar	haar	PROPN
dem-1067	164	8	wavelet	wavelet	NOUN
dem-1067	164	9	transfer	transfer	NOUN
dem-1067	164	10	function	function	NOUN
dem-1067	164	11	model	model	NOUN
dem-1067	164	12	and	and	CCONJ
dem-1067	164	13	its	its	PRON
dem-1067	164	14	applications	application	NOUN
dem-1067	164	15	149	149	NUM
dem-1067	164	16	a	a	DET
dem-1067	164	17	comparison	comparison	NOUN
dem-1067	164	18	of	of	ADP
dem-1067	164	19	forecast	forecast	NOUN
dem-1067	164	20	accuracy	accuracy	NOUN
dem-1067	164	21	of	of	ADP
dem-1067	164	22	our	our	PRON
dem-1067	164	23	models	model	NOUN
dem-1067	164	24	.	.	PUNCT
dem-1067	165	1	predictions	prediction	NOUN
dem-1067	165	2	were	be	AUX
dem-1067	165	3	made	make	VERB
dem-1067	165	4	for	for	ADP
dem-1067	165	5	the	the	DET
dem-1067	165	6	next	next	ADJ
dem-1067	165	7	five	five	NUM
dem-1067	165	8	days	day	NOUN
dem-1067	165	9	using	use	VERB
dem-1067	165	10	forecasts	forecast	NOUN
dem-1067	165	11	of	of	ADP
dem-1067	165	12	the	the	DET
dem-1067	165	13	out	out	NOUN
dem-1067	165	14	-	-	PUNCT
dem-1067	165	15	of	of	ADP
dem-1067	165	16	-	-	PUNCT
dem-1067	165	17	sample	sample	NOUN
dem-1067	165	18	values	value	NOUN
dem-1067	165	19	of	of	ADP
dem-1067	165	20	the	the	DET
dem-1067	165	21	regressors4	regressors4	NOUN
dem-1067	165	22	.	.	PUNCT
dem-1067	166	1	table	table	NOUN
dem-1067	166	2	1	1	NUM
dem-1067	166	3	.	.	PUNCT
dem-1067	167	1	estimation	estimation	NOUN
dem-1067	167	2	results	result	NOUN
dem-1067	167	3	of	of	ADP
dem-1067	167	4	transfer	transfer	NOUN
dem-1067	167	5	function	function	NOUN
dem-1067	167	6	models	model	NOUN
dem-1067	167	7	for	for	ADP
dem-1067	167	8	logarithmic	logarithmic	ADJ
dem-1067	167	9	returns	return	NOUN
dem-1067	167	10	on	on	ADP
dem-1067	167	11	wig	wig	NOUN
dem-1067	167	12	variable	variable	ADJ
dem-1067	167	13	coefficient	coefficient	NOUN
dem-1067	167	14	standard	standard	ADJ
dem-1067	167	15	error	error	NOUN
dem-1067	167	16	z	z	NOUN
dem-1067	167	17	-	-	PUNCT
dem-1067	167	18	statistic	statistic	ADJ
dem-1067	167	19	p	p	ADJ
dem-1067	167	20	-	-	PUNCT
dem-1067	167	21	value	value	NOUN
dem-1067	167	22	model	model	NOUN
dem-1067	167	23	i	i	PRON
dem-1067	167	24	equation	equation	NOUN
dem-1067	167	25	for	for	ADP
dem-1067	167	26	the	the	DET
dem-1067	167	27	conditional	conditional	ADJ
dem-1067	167	28	mean	mean	NOUN
dem-1067	167	29	s&p	s&p	PROPN
dem-1067	167	30	0.312	0.312	NUM
dem-1067	167	31	0.019	0.019	NUM
dem-1067	167	32	16.49	16.49	NUM
dem-1067	167	33	0.0000	0.0000	NUM
dem-1067	167	34	s&p(-1	s&p(-1	NUM
dem-1067	167	35	)	)	PUNCT
dem-1067	167	36	0.235	0.235	NUM
dem-1067	167	37	0.020	0.020	NUM
dem-1067	167	38	11.65	11.65	NUM
dem-1067	167	39	0.0000	0.0000	NUM
dem-1067	167	40	s&p(-2	s&p(-2	NUM
dem-1067	167	41	)	)	PUNCT
dem-1067	167	42	0.073	0.073	NUM
dem-1067	167	43	0.020	0.020	NUM
dem-1067	167	44	3.640	3.640	NUM
dem-1067	167	45	0.0003	0.0003	NUM
dem-1067	167	46	ma(2	ma(2	NOUN
dem-1067	167	47	)	)	PUNCT
dem-1067	167	48	-0.091	-0.091	NUM
dem-1067	167	49	0.049	0.049	NUM
dem-1067	167	50	-1.846	-1.846	NUM
dem-1067	167	51	0.0649	0.0649	NUM
dem-1067	167	52	ma(6	ma(6	PROPN
dem-1067	167	53	)	)	PUNCT
dem-1067	167	54	-0.124	-0.124	PROPN
dem-1067	168	1	0.044	0.044	NUM
dem-1067	168	2	-2.807	-2.807	SYM
dem-1067	168	3	0.0050	0.0050	NUM
dem-1067	168	4	equation	equation	NOUN
dem-1067	168	5	for	for	ADP
dem-1067	168	6	the	the	DET
dem-1067	168	7	conditional	conditional	ADJ
dem-1067	168	8	variance	variance	NOUN
dem-1067	168	9	c	c	PROPN
dem-1067	168	10	1.49e-06	1.49e-06	NUM
dem-1067	168	11	1.25e-06	1.25e-06	NUM
dem-1067	168	12	1.195	1.195	NUM
dem-1067	168	13	0.2320	0.2320	NUM
dem-1067	168	14	resid(-1)^2	resid(-1)^2	PROPN
dem-1067	168	15	0.068	0.068	NUM
dem-1067	168	16	0.019	0.019	NUM
dem-1067	168	17	3.671	3.671	NUM
dem-1067	168	18	0.0002	0.0002	NUM
dem-1067	168	19	garch(-1	garch(-1	NOUN
dem-1067	168	20	)	)	PUNCT
dem-1067	168	21	0.926	0.926	NUM
dem-1067	168	22	0.019	0.019	NUM
dem-1067	168	23	48.08	48.08	NUM
dem-1067	168	24	0.0000	0.0000	NUM
dem-1067	168	25	adj	adj	X
dem-1067	168	26	.	.	PUNCT
dem-1067	168	27	r2	r2	PROPN
dem-1067	168	28	=	=	PROPN
dem-1067	169	1	30.74	30.74	NUM
dem-1067	169	2	%	%	NOUN
dem-1067	169	3	;	;	PUNCT
dem-1067	169	4	aic	aic	PROPN
dem-1067	169	5	=	=	PROPN
dem-1067	169	6	-5.7620	-5.7620	PROPN
dem-1067	169	7	;	;	PUNCT
dem-1067	169	8	sc	sc	PROPN
dem-1067	169	9	=	=	PUNCT
dem-1067	169	10	-5.6976	-5.6976	NOUN
dem-1067	169	11	;	;	PUNCT
dem-1067	169	12	q	q	X
dem-1067	169	13	=	=	NUM
dem-1067	169	14	2.79	2.79	NUM
dem-1067	169	15	(	(	PUNCT
dem-1067	169	16	0.43	0.43	NUM
dem-1067	169	17	)	)	PUNCT
dem-1067	169	18	;	;	PUNCT
dem-1067	169	19	arch	arch	NOUN
dem-1067	169	20	=	=	SYM
dem-1067	169	21	1.71	1.71	NUM
dem-1067	169	22	(	(	PUNCT
dem-1067	169	23	0.42	0.42	NUM
dem-1067	169	24	)	)	PUNCT
dem-1067	169	25	;	;	PUNCT
dem-1067	169	26	jb	jb	PROPN
dem-1067	169	27	=	=	SYM
dem-1067	169	28	2.78	2.78	NUM
dem-1067	169	29	(	(	PUNCT
dem-1067	169	30	0.25	0.25	NUM
dem-1067	169	31	)	)	PUNCT
dem-1067	169	32	model	model	NOUN
dem-1067	169	33	ii	ii	PROPN
dem-1067	169	34	equation	equation	NOUN
dem-1067	169	35	for	for	ADP
dem-1067	169	36	the	the	DET
dem-1067	169	37	conditional	conditional	ADJ
dem-1067	169	38	mean	mean	NOUN
dem-1067	169	39	s&p	s&p	PROPN
dem-1067	169	40	0.309	0.309	NUM
dem-1067	169	41	0.020	0.020	NUM
dem-1067	169	42	15.45	15.45	NUM
dem-1067	169	43	0.0000	0.0000	NUM
dem-1067	169	44	s&p(-1	s&p(-1	NUM
dem-1067	169	45	)	)	PUNCT
dem-1067	169	46	0.229	0.229	NUM
dem-1067	169	47	0.020	0.020	NUM
dem-1067	169	48	11.52	11.52	NUM
dem-1067	169	49	0.0000	0.0000	NUM
dem-1067	169	50	s&p(-2	s&p(-2	NUM
dem-1067	169	51	)	)	PUNCT
dem-1067	169	52	0.070	0.070	NUM
dem-1067	169	53	0.021	0.021	NUM
dem-1067	169	54	3.290	3.290	NUM
dem-1067	169	55	0.0010	0.0010	NUM
dem-1067	169	56	s&p(-5	s&p(-5	NOUN
dem-1067	169	57	)	)	PUNCT
dem-1067	169	58	0.043	0.043	NUM
dem-1067	169	59	0.020	0.020	NUM
dem-1067	169	60	2.128	2.128	NUM
dem-1067	169	61	0.0333	0.0333	NUM
dem-1067	169	62	s&p(-9	s&p(-9	X
dem-1067	169	63	)	)	PUNCT
dem-1067	169	64	0.061	0.061	NUM
dem-1067	169	65	0.021	0.021	NUM
dem-1067	169	66	2.951	2.951	NUM
dem-1067	169	67	0.0032	0.0032	NUM
dem-1067	169	68	ma(2	ma(2	NOUN
dem-1067	169	69	)	)	PUNCT
dem-1067	169	70	-0.088	-0.088	NUM
dem-1067	169	71	0.050	0.050	NUM
dem-1067	169	72	-1.768	-1.768	NUM
dem-1067	169	73	0.0770	0.0770	NUM
dem-1067	169	74	ma(6	ma(6	NOUN
dem-1067	169	75	)	)	PUNCT
dem-1067	169	76	-0.137	-0.137	NOUN
dem-1067	169	77	0.045	0.045	NUM
dem-1067	169	78	-3.066	-3.066	NUM
dem-1067	169	79	0.0022	0.0022	NUM
dem-1067	169	80	equation	equation	NOUN
dem-1067	169	81	for	for	ADP
dem-1067	169	82	the	the	DET
dem-1067	169	83	conditional	conditional	ADJ
dem-1067	169	84	variance	variance	NOUN
dem-1067	169	85	c	c	PROPN
dem-1067	169	86	1.33e-06	1.33e-06	NUM
dem-1067	169	87	1.28e-06	1.28e-06	NUM
dem-1067	169	88	1.041	1.041	NUM
dem-1067	169	89	0.2979	0.2979	NUM
dem-1067	169	90	resid(-1)^2	resid(-1)^2	PROPN
dem-1067	169	91	0.069	0.069	NUM
dem-1067	169	92	0.021	0.021	NUM
dem-1067	169	93	3.272	3.272	NUM
dem-1067	169	94	0.0011	0.0011	NUM
dem-1067	169	95	garch(-1	garch(-1	NOUN
dem-1067	169	96	)	)	PUNCT
dem-1067	169	97	0.926	0.926	NUM
dem-1067	169	98	0.022	0.022	NUM
dem-1067	169	99	42.02	42.02	NUM
dem-1067	169	100	0.0000	0.0000	NUM
dem-1067	169	101	adj	adj	X
dem-1067	169	102	.	.	PUNCT
dem-1067	170	1	r2	r2	PROPN
dem-1067	170	2	=	=	PUNCT
dem-1067	171	1	32.25	32.25	NUM
dem-1067	171	2	%	%	NOUN
dem-1067	171	3	;	;	PUNCT
dem-1067	171	4	aic	aic	PROPN
dem-1067	171	5	=	=	SYM
dem-1067	171	6	-5.7659	-5.7659	PROPN
dem-1067	171	7	;	;	PUNCT
dem-1067	171	8	sc	sc	PROPN
dem-1067	171	9	=	=	PROPN
dem-1067	171	10	-5.6846	-5.6846	NOUN
dem-1067	171	11	;	;	PUNCT
dem-1067	171	12	q	q	X
dem-1067	171	13	=	=	SYM
dem-1067	171	14	3.74	3.74	NUM
dem-1067	171	15	(	(	PUNCT
dem-1067	171	16	0.29	0.29	NUM
dem-1067	171	17	)	)	PUNCT
dem-1067	171	18	;	;	PUNCT
dem-1067	171	19	arch	arch	NOUN
dem-1067	171	20	=	=	SYM
dem-1067	171	21	2.45	2.45	NUM
dem-1067	171	22	(	(	PUNCT
dem-1067	171	23	0.29	0.29	NUM
dem-1067	171	24	)	)	PUNCT
dem-1067	171	25	;	;	PUNCT
dem-1067	172	1	jb	jb	PROPN
dem-1067	172	2	=	=	SYM
dem-1067	172	3	1.99	1.99	NUM
dem-1067	172	4	(	(	PUNCT
dem-1067	172	5	0.37	0.37	NUM
dem-1067	172	6	)	)	PUNCT
dem-1067	172	7	model	model	NOUN
dem-1067	172	8	iii	iii	NUM
dem-1067	172	9	equation	equation	NOUN
dem-1067	172	10	for	for	ADP
dem-1067	172	11	the	the	DET
dem-1067	172	12	conditional	conditional	ADJ
dem-1067	172	13	mean	mean	NOUN
dem-1067	172	14	w1	w1	PROPN
dem-1067	172	15	0.077	0.077	NUM
dem-1067	172	16	0.026	0.026	NUM
dem-1067	172	17	2.914	2.914	NUM
dem-1067	172	18	0.0036	0.0036	NUM
dem-1067	172	19	w2+w3+w4	w2+w3+w4	PROPN
dem-1067	172	20	0.488	0.488	NUM
dem-1067	172	21	0.034	0.034	NUM
dem-1067	172	22	14.36	14.36	NUM
dem-1067	172	23	0.0000	0.0000	NUM
dem-1067	172	24	v4	v4	VERB
dem-1067	172	25	0.890	0.890	NUM
dem-1067	172	26	0.074	0.074	NUM
dem-1067	172	27	11.97	11.97	NUM
dem-1067	172	28	0.0000	0.0000	NUM
dem-1067	172	29	ma(2	ma(2	NOUN
dem-1067	172	30	)	)	PUNCT
dem-1067	172	31	-0.130	-0.130	ADP
dem-1067	173	1	0.049	0.049	NUM
dem-1067	173	2	-2.623	-2.623	NUM
dem-1067	173	3	0.0087	0.0087	NUM
dem-1067	173	4	ma(6	ma(6	PROPN
dem-1067	173	5	)	)	PUNCT
dem-1067	173	6	-0.154	-0.154	VERB
dem-1067	173	7	0.045	0.045	NUM
dem-1067	173	8	-3.459	-3.459	NOUN
dem-1067	173	9	0.0005	0.0005	NUM
dem-1067	173	10	equation	equation	NOUN
dem-1067	173	11	for	for	ADP
dem-1067	173	12	the	the	DET
dem-1067	173	13	conditional	conditional	ADJ
dem-1067	173	14	variance	variance	NOUN
dem-1067	173	15	c	c	PROPN
dem-1067	173	16	1.27e-06	1.27e-06	NUM
dem-1067	173	17	1.23e-06	1.23e-06	NUM
dem-1067	173	18	1.029	1.029	NUM
dem-1067	173	19	0.3036	0.3036	NUM
dem-1067	174	1	resid(-1)^2	resid(-1)^2	PROPN
dem-1067	174	2	0.070	0.070	NUM
dem-1067	174	3	0.019	0.019	NUM
dem-1067	174	4	3.593	3.593	NUM
dem-1067	174	5	0.0003	0.0003	NUM
dem-1067	174	6	garch(-1	garch(-1	NOUN
dem-1067	174	7	)	)	PUNCT
dem-1067	174	8	0.926	0.926	NUM
dem-1067	175	1	0.020	0.020	NUM
dem-1067	175	2	45.50	45.50	NUM
dem-1067	175	3	0.0000	0.0000	NUM
dem-1067	175	4	adj	adj	X
dem-1067	175	5	.	.	PUNCT
dem-1067	175	6	r2	r2	PROPN
dem-1067	175	7	=	=	PUNCT
dem-1067	175	8	31.35	31.35	NUM
dem-1067	175	9	%	%	NOUN
dem-1067	175	10	;	;	PUNCT
dem-1067	176	1	aic	aic	PROPN
dem-1067	176	2	=	=	PROPN
dem-1067	176	3	-5.7622	-5.7622	PROPN
dem-1067	176	4	;	;	PUNCT
dem-1067	176	5	sc	sc	PROPN
dem-1067	176	6	=	=	PUNCT
dem-1067	176	7	-5.6966	-5.6966	NOUN
dem-1067	176	8	;	;	PUNCT
dem-1067	176	9	q	q	NOUN
dem-1067	176	10	=	=	SYM
dem-1067	176	11	5.18	5.18	NUM
dem-1067	176	12	(	(	PUNCT
dem-1067	176	13	0.16	0.16	NUM
dem-1067	176	14	)	)	PUNCT
dem-1067	176	15	;	;	PUNCT
dem-1067	176	16	arch	arch	NOUN
dem-1067	176	17	=	=	SYM
dem-1067	176	18	2.75	2.75	NUM
dem-1067	176	19	(	(	PUNCT
dem-1067	176	20	0.25	0.25	NUM
dem-1067	176	21	)	)	PUNCT
dem-1067	176	22	;	;	PUNCT
dem-1067	176	23	jb	jb	PROPN
dem-1067	176	24	=	=	SYM
dem-1067	176	25	2.42	2.42	NUM
dem-1067	176	26	(	(	PUNCT
dem-1067	176	27	0.30	0.30	NUM
dem-1067	176	28	)	)	PUNCT
dem-1067	176	29	4	4	NUM
dem-1067	176	30	a	a	DET
dem-1067	176	31	more	more	ADV
dem-1067	176	32	precise	precise	ADJ
dem-1067	176	33	evaluation	evaluation	NOUN
dem-1067	176	34	of	of	ADP
dem-1067	176	35	the	the	DET
dem-1067	176	36	forecast	forecast	NOUN
dem-1067	176	37	ability	ability	NOUN
dem-1067	176	38	of	of	ADP
dem-1067	176	39	our	our	PRON
dem-1067	176	40	haar	haar	NOUN
dem-1067	176	41	wavelet	wavelet	NOUN
dem-1067	176	42	transfer	transfer	NOUN
dem-1067	176	43	function	function	NOUN
dem-1067	176	44	models	model	NOUN
dem-1067	176	45	for	for	ADP
dem-1067	176	46	wig	wig	NOUN
dem-1067	176	47	(	(	PUNCT
dem-1067	176	48	as	as	ADV
dem-1067	176	49	well	well	ADV
dem-1067	176	50	as	as	ADP
dem-1067	176	51	some	some	DET
dem-1067	176	52	other	other	ADJ
dem-1067	176	53	variables	variable	NOUN
dem-1067	176	54	)	)	PUNCT
dem-1067	176	55	can	can	AUX
dem-1067	176	56	be	be	AUX
dem-1067	176	57	found	find	VERB
dem-1067	176	58	in	in	ADP
dem-1067	176	59	bruzda	bruzda	PROPN
dem-1067	176	60	(	(	PUNCT
dem-1067	176	61	2011	2011	NUM
dem-1067	176	62	)	)	PUNCT
dem-1067	176	63	.	.	PUNCT
dem-1067	177	1	joanna	joanna	PROPN
dem-1067	177	2	bruzda	bruzda	VERB
dem-1067	177	3	150	150	NUM
dem-1067	177	4	table	table	NOUN
dem-1067	177	5	1	1	NUM
dem-1067	177	6	.	.	PUNCT
dem-1067	177	7	continued	continue	VERB
dem-1067	177	8	variable	variable	ADJ
dem-1067	177	9	coefficient	coefficient	NOUN
dem-1067	177	10	standard	standard	ADJ
dem-1067	177	11	error	error	NOUN
dem-1067	177	12	z	z	NOUN
dem-1067	177	13	-	-	PUNCT
dem-1067	177	14	statistic	statistic	ADJ
dem-1067	177	15	p	p	ADJ
dem-1067	177	16	-	-	PUNCT
dem-1067	177	17	value	value	NOUN
dem-1067	177	18	model	model	NOUN
dem-1067	177	19	iv	iv	NUM
dem-1067	177	20	equation	equation	NOUN
dem-1067	177	21	for	for	ADP
dem-1067	177	22	the	the	DET
dem-1067	177	23	conditional	conditional	ADJ
dem-1067	177	24	mean	mean	NOUN
dem-1067	177	25	w1	w1	NOUN
dem-1067	177	26	0.084	0.084	NUM
dem-1067	177	27	0.027	0.027	NUM
dem-1067	177	28	3.140	3.140	NUM
dem-1067	177	29	0.0017	0.0017	NUM
dem-1067	177	30	w2+w3	w2+w3	NOUN
dem-1067	177	31	0.471	0.471	NUM
dem-1067	177	32	0.041	0.041	NUM
dem-1067	177	33	11.36	11.36	NUM
dem-1067	177	34	0.0000	0.0000	NUM
dem-1067	177	35	v3	v3	PROPN
dem-1067	177	36	0.724	0.724	NUM
dem-1067	177	37	0.058	0.058	NUM
dem-1067	177	38	12.43	12.43	NUM
dem-1067	177	39	0.0000	0.0000	NUM
dem-1067	177	40	ma(2	ma(2	NOUN
dem-1067	177	41	)	)	PUNCT
dem-1067	177	42	-0.111	-0.111	PUNCT
dem-1067	178	1	0.049	0.049	NUM
dem-1067	178	2	-2.252	-2.252	NUM
dem-1067	178	3	0.0243	0.0243	NUM
dem-1067	178	4	ma(6	ma(6	PROPN
dem-1067	178	5	)	)	PUNCT
dem-1067	178	6	-0.142	-0.142	PUNCT
dem-1067	179	1	0.044	0.044	NUM
dem-1067	179	2	-3.220	-3.220	SYM
dem-1067	179	3	0.0013	0.0013	NUM
dem-1067	179	4	equation	equation	NOUN
dem-1067	179	5	for	for	ADP
dem-1067	179	6	the	the	DET
dem-1067	179	7	conditional	conditional	ADJ
dem-1067	179	8	variance	variance	NOUN
dem-1067	179	9	c	c	PROPN
dem-1067	179	10	1.60e-06	1.60e-06	NUM
dem-1067	179	11	1.35e-06	1.35e-06	NUM
dem-1067	179	12	1.182	1.182	NUM
dem-1067	179	13	0.2372	0.2372	NUM
dem-1067	179	14	resid(-1)^2	resid(-1)^2	PROPN
dem-1067	179	15	0.071	0.071	NUM
dem-1067	179	16	0.020	0.020	NUM
dem-1067	179	17	3.596	3.596	NUM
dem-1067	179	18	0.0003	0.0003	NUM
dem-1067	179	19	garch(-1	garch(-1	NOUN
dem-1067	179	20	)	)	PUNCT
dem-1067	179	21	0.922	0.922	NUM
dem-1067	179	22	0.021	0.021	NUM
dem-1067	179	23	43.16	43.16	NUM
dem-1067	179	24	0.0000	0.0000	NUM
dem-1067	179	25	adj	adj	X
dem-1067	179	26	.	.	PUNCT
dem-1067	179	27	r2	r2	PROPN
dem-1067	179	28	=	=	PUNCT
dem-1067	179	29	30.49	30.49	NUM
dem-1067	179	30	%	%	NOUN
dem-1067	179	31	;	;	PUNCT
dem-1067	179	32	aic	aic	PROPN
dem-1067	179	33	=	=	PROPN
dem-1067	179	34	-5.7527	-5.7527	PROPN
dem-1067	179	35	;	;	PUNCT
dem-1067	179	36	sc	sc	PROPN
dem-1067	179	37	=	=	PUNCT
dem-1067	179	38	-5.6878	-5.6878	PROPN
dem-1067	179	39	;	;	PUNCT
dem-1067	179	40	q	q	SYM
dem-1067	179	41	=	=	SYM
dem-1067	179	42	3.56	3.56	NUM
dem-1067	179	43	(	(	PUNCT
dem-1067	179	44	0.31	0.31	NUM
dem-1067	179	45	)	)	PUNCT
dem-1067	179	46	;	;	PUNCT
dem-1067	179	47	arch	arch	NOUN
dem-1067	179	48	=	=	SYM
dem-1067	179	49	2.18	2.18	NUM
dem-1067	179	50	(	(	PUNCT
dem-1067	179	51	0.34	0.34	NUM
dem-1067	179	52	)	)	PUNCT
dem-1067	179	53	;	;	PUNCT
dem-1067	180	1	jb	jb	PROPN
dem-1067	180	2	=	=	SYM
dem-1067	180	3	3.14	3.14	NUM
dem-1067	180	4	(	(	PUNCT
dem-1067	180	5	0.21	0.21	NUM
dem-1067	180	6	)	)	PUNCT
dem-1067	180	7	model	model	NOUN
dem-1067	180	8	v	v	NUM
dem-1067	180	9	equation	equation	NOUN
dem-1067	180	10	for	for	ADP
dem-1067	180	11	the	the	DET
dem-1067	180	12	conditional	conditional	ADJ
dem-1067	180	13	mean	mean	NOUN
dem-1067	180	14	v3	v3	PROPN
dem-1067	180	15	0.720	0.720	NUM
dem-1067	180	16	0.058	0.058	NUM
dem-1067	180	17	12.51	12.51	NUM
dem-1067	180	18	0.0000	0.0000	NUM
dem-1067	180	19	w2+w3	w2+w3	NOUN
dem-1067	180	20	0.480	0.480	NUM
dem-1067	180	21	0.040	0.040	NUM
dem-1067	180	22	11.86	11.86	NUM
dem-1067	180	23	0.0000	0.0000	NUM
dem-1067	180	24	p6+p7	p6+p7	PROPN
dem-1067	180	25	0.161	0.161	NUM
dem-1067	180	26	0.039	0.039	NUM
dem-1067	180	27	4.176	4.176	NUM
dem-1067	180	28	0.0000	0.0000	NUM
dem-1067	180	29	ma(2	ma(2	NOUN
dem-1067	180	30	)	)	PUNCT
dem-1067	180	31	-0.135	-0.135	NUM
dem-1067	180	32	0.044	0.044	NUM
dem-1067	180	33	-3.084	-3.084	PROPN
dem-1067	180	34	0.0020	0.0020	NUM
dem-1067	180	35	ma(6	ma(6	PROPN
dem-1067	180	36	)	)	PUNCT
dem-1067	180	37	-0.104	-0.104	NOUN
dem-1067	180	38	0.049	0.049	NUM
dem-1067	180	39	-2.127	-2.127	NOUN
dem-1067	180	40	0.0334	0.0334	NUM
dem-1067	180	41	equation	equation	NOUN
dem-1067	180	42	for	for	ADP
dem-1067	180	43	the	the	DET
dem-1067	180	44	conditional	conditional	ADJ
dem-1067	180	45	variance	variance	NOUN
dem-1067	180	46	c	c	PROPN
dem-1067	180	47	1.53e-06	1.53e-06	NUM
dem-1067	180	48	1.34e-06	1.34e-06	NUM
dem-1067	180	49	1.143	1.143	NUM
dem-1067	180	50	0.2532	0.2532	NUM
dem-1067	181	1	resid(-1)^2	resid(-1)^2	PROPN
dem-1067	181	2	0.072	0.072	NUM
dem-1067	181	3	0.019	0.019	NUM
dem-1067	181	4	3.711	3.711	NUM
dem-1067	181	5	0.0002	0.0002	NUM
dem-1067	181	6	garch(-1	garch(-1	NOUN
dem-1067	181	7	)	)	PUNCT
dem-1067	181	8	0.922	0.922	NUM
dem-1067	181	9	0.021	0.021	NUM
dem-1067	181	10	44.10	44.10	NUM
dem-1067	181	11	0.0000	0.0000	NUM
dem-1067	181	12	adj	adj	NOUN
dem-1067	181	13	.	.	PUNCT
dem-1067	182	1	r2	r2	PROPN
dem-1067	182	2	=	=	PUNCT
dem-1067	183	1	31.22	31.22	NUM
dem-1067	183	2	%	%	NOUN
dem-1067	183	3	;	;	PUNCT
dem-1067	183	4	aic	aic	PROPN
dem-1067	183	5	=	=	SYM
dem-1067	183	6	-5.7648	-5.7648	PROPN
dem-1067	183	7	;	;	PUNCT
dem-1067	183	8	sc	sc	PROPN
dem-1067	183	9	=	=	PUNCT
dem-1067	183	10	-5.6999	-5.6999	PROPN
dem-1067	183	11	;	;	PUNCT
dem-1067	183	12	q	q	X
dem-1067	183	13	=	=	SYM
dem-1067	183	14	3.50	3.50	NUM
dem-1067	183	15	(	(	PUNCT
dem-1067	183	16	0.32	0.32	NUM
dem-1067	183	17	)	)	PUNCT
dem-1067	183	18	;	;	PUNCT
dem-1067	183	19	arch	arch	NOUN
dem-1067	183	20	=	=	NOUN
dem-1067	183	21	1.89	1.89	NUM
dem-1067	183	22	(	(	PUNCT
dem-1067	183	23	0.39	0.39	NUM
dem-1067	183	24	)	)	PUNCT
dem-1067	183	25	;	;	PUNCT
dem-1067	183	26	jb	jb	PROPN
dem-1067	183	27	=	=	SYM
dem-1067	183	28	1.94	1.94	NUM
dem-1067	183	29	(	(	PUNCT
dem-1067	183	30	0.38	0.38	NUM
dem-1067	183	31	)	)	PUNCT
dem-1067	183	32	note	note	NOUN
dem-1067	183	33	:	:	PUNCT
dem-1067	183	34	q	q	X
dem-1067	183	35	–	–	PUNCT
dem-1067	183	36	ljung	ljung	ADJ
dem-1067	183	37	-	-	PUNCT
dem-1067	183	38	box	box	NOUN
dem-1067	183	39	statistic	statistic	NOUN
dem-1067	183	40	for	for	ADP
dem-1067	183	41	standardised	standardised	ADJ
dem-1067	183	42	residuals	residual	NOUN
dem-1067	183	43	and	and	CCONJ
dem-1067	183	44	5	5	NUM
dem-1067	183	45	lags	lag	NOUN
dem-1067	183	46	;	;	PUNCT
dem-1067	183	47	arch	arch	ADJ
dem-1067	183	48	–	–	PUNCT
dem-1067	183	49	arch	arch	ADJ
dem-1067	183	50	lm	lm	INTJ
dem-1067	183	51	test	test	NOUN
dem-1067	183	52	statistic	statistic	NOUN
dem-1067	183	53	for	for	ADP
dem-1067	183	54	2	2	NUM
dem-1067	183	55	lags	lag	NOUN
dem-1067	183	56	;	;	PUNCT
dem-1067	183	57	jb	jb	PROPN
dem-1067	183	58	–	–	PUNCT
dem-1067	183	59	jarque	jarque	NOUN
dem-1067	183	60	-	-	PUNCT
dem-1067	183	61	bera	bera	NOUN
dem-1067	183	62	normality	normality	NOUN
dem-1067	183	63	test	test	NOUN
dem-1067	183	64	;	;	PUNCT
dem-1067	183	65	p	p	X
dem-1067	183	66	-	-	PUNCT
dem-1067	183	67	values	value	NOUN
dem-1067	183	68	in	in	ADP
dem-1067	183	69	brackets	bracket	NOUN
dem-1067	183	70	;	;	PUNCT
dem-1067	183	71	two	two	NUM
dem-1067	183	72	best	good	ADJ
dem-1067	183	73	values	value	NOUN
dem-1067	183	74	of	of	ADP
dem-1067	183	75	the	the	DET
dem-1067	183	76	adjusted	adjust	VERB
dem-1067	183	77	r2	r2	NOUN
dem-1067	183	78	coefficient	coefficient	NOUN
dem-1067	183	79	and	and	CCONJ
dem-1067	183	80	the	the	DET
dem-1067	183	81	information	information	NOUN
dem-1067	183	82	criteria	criterion	NOUN
dem-1067	183	83	are	be	AUX
dem-1067	183	84	in	in	ADP
dem-1067	183	85	bold	bold	ADJ
dem-1067	183	86	;	;	PUNCT
dem-1067	183	87	v	v	X
dem-1067	183	88	–	–	PUNCT
dem-1067	183	89	scaling	scale	VERB
dem-1067	183	90	coefficients	coefficient	NOUN
dem-1067	183	91	,	,	PUNCT
dem-1067	183	92	w	w	NOUN
dem-1067	183	93	–	–	PUNCT
dem-1067	183	94	wavelet	wavelet	NOUN
dem-1067	183	95	coefficients	coefficient	NOUN
dem-1067	183	96	,	,	PUNCT
dem-1067	183	97	p	p	NOUN
dem-1067	183	98	–	–	PUNCT
dem-1067	183	99	wavelet	wavelet	NOUN
dem-1067	183	100	packet	packet	NOUN
dem-1067	183	101	coefficients	coefficient	NOUN
dem-1067	183	102	in	in	ADP
dem-1067	183	103	sequency	sequency	NOUN
dem-1067	183	104	ordering	order	VERB
dem-1067	183	105	neither	neither	CCONJ
dem-1067	183	106	the	the	DET
dem-1067	183	107	ordinary	ordinary	ADJ
dem-1067	183	108	transfer	transfer	NOUN
dem-1067	183	109	function	function	NOUN
dem-1067	183	110	models	model	NOUN
dem-1067	183	111	nor	nor	CCONJ
dem-1067	183	112	the	the	DET
dem-1067	183	113	haar	haar	PROPN
dem-1067	183	114	wavelet	wavelet	NOUN
dem-1067	183	115	models	model	NOUN
dem-1067	183	116	uniformly	uniformly	ADV
dem-1067	183	117	dominated	dominate	VERB
dem-1067	183	118	in	in	ADP
dem-1067	183	119	the	the	DET
dem-1067	183	120	model	model	NOUN
dem-1067	183	121	building	build	VERB
dem-1067	183	122	part	part	NOUN
dem-1067	183	123	of	of	ADP
dem-1067	183	124	our	our	PRON
dem-1067	183	125	analysis	analysis	NOUN
dem-1067	183	126	.	.	PUNCT
dem-1067	184	1	however	however	ADV
dem-1067	184	2	,	,	PUNCT
dem-1067	184	3	the	the	DET
dem-1067	184	4	wavelet	wavelet	NOUN
dem-1067	184	5	models	model	NOUN
dem-1067	184	6	produced	produce	VERB
dem-1067	184	7	the	the	DET
dem-1067	184	8	best	good	ADJ
dem-1067	184	9	forecasts	forecast	NOUN
dem-1067	184	10	of	of	ADP
dem-1067	184	11	wig	wig	NOUN
dem-1067	184	12	and	and	CCONJ
dem-1067	184	13	have	have	VERB
dem-1067	184	14	comparable	comparable	ADJ
dem-1067	184	15	properties	property	NOUN
dem-1067	184	16	to	to	ADP
dem-1067	184	17	the	the	DET
dem-1067	184	18	former	former	ADJ
dem-1067	184	19	models	model	NOUN
dem-1067	184	20	in	in	ADP
dem-1067	184	21	terms	term	NOUN
dem-1067	184	22	of	of	ADP
dem-1067	184	23	the	the	DET
dem-1067	184	24	fit	fit	ADJ
dem-1067	184	25	and	and	CCONJ
dem-1067	184	26	diagnostic	diagnostic	ADJ
dem-1067	184	27	checking	checking	NOUN
dem-1067	184	28	.	.	PUNCT
dem-1067	185	1	the	the	DET
dem-1067	185	2	best	good	ADJ
dem-1067	185	3	wavelet	wavelet	NOUN
dem-1067	185	4	forecasts	forecast	NOUN
dem-1067	185	5	were	be	AUX
dem-1067	185	6	obtained	obtain	VERB
dem-1067	185	7	with	with	ADP
dem-1067	185	8	the	the	DET
dem-1067	185	9	simplest	simple	ADJ
dem-1067	185	10	wavelet	wavelet	NOUN
dem-1067	185	11	models	model	NOUN
dem-1067	185	12	,	,	PUNCT
dem-1067	185	13	while	while	SCONJ
dem-1067	185	14	the	the	DET
dem-1067	185	15	wavelet	wavelet	NOUN
dem-1067	185	16	packet	packet	NOUN
dem-1067	185	17	-	-	PUNCT
dem-1067	185	18	enhanced	enhance	VERB
dem-1067	185	19	specifications	specification	NOUN
dem-1067	185	20	resulted	result	VERB
dem-1067	185	21	in	in	ADP
dem-1067	185	22	a	a	DET
dem-1067	185	23	lower	low	ADJ
dem-1067	185	24	aic	aic	PROPN
dem-1067	185	25	criterion	criterion	NOUN
dem-1067	185	26	,	,	PUNCT
dem-1067	185	27	while	while	SCONJ
dem-1067	185	28	still	still	ADV
dem-1067	185	29	providing	provide	VERB
dem-1067	185	30	good	good	ADJ
dem-1067	185	31	forecasts	forecast	NOUN
dem-1067	185	32	in	in	ADP
dem-1067	185	33	terms	term	NOUN
dem-1067	185	34	of	of	ADP
dem-1067	185	35	the	the	DET
dem-1067	185	36	rmse	rmse	NOUN
dem-1067	185	37	.	.	PUNCT
dem-1067	186	1	gain	gain	VERB
dem-1067	186	2	x	x	NOUN
dem-1067	186	3	:	:	PUNCT
dem-1067	186	4	s&p	s&p	PROPN
dem-1067	186	5	y	y	PROPN
dem-1067	186	6	:	:	PUNCT
dem-1067	186	7	wig	wig	NOUN
dem-1067	187	1	f	f	NOUN
dem-1067	187	2	g	g	NOUN
dem-1067	187	3	ai	ai	VERB
dem-1067	187	4	n	n	ADV
dem-1067	187	5	0,0	0,0	NUM
dem-1067	187	6	0,1	0,1	NUM
dem-1067	187	7	0,2	0,2	NUM
dem-1067	187	8	0,3	0,3	NUM
dem-1067	187	9	0,4	0,4	NUM
dem-1067	187	10	0,5	0,5	NUM
dem-1067	187	11	0,6	0,6	NUM
dem-1067	187	12	0,7	0,7	NUM
dem-1067	187	13	0,0	0,0	NUM
dem-1067	187	14	0,1	0,1	NUM
dem-1067	187	15	0,2	0,2	NUM
dem-1067	187	16	0,3	0,3	NUM
dem-1067	187	17	0,4	0,4	NUM
dem-1067	187	18	0,5	0,5	NUM
dem-1067	187	19	0,6	0,6	NUM
dem-1067	187	20	0,7	0,7	NUM
dem-1067	187	21	0,00	0,00	X
dem-1067	187	22	0,05	0,05	NOUN
dem-1067	187	23	0,10	0,10	NOUN
dem-1067	188	1	0,15	0,15	NUM
dem-1067	188	2	0,20	0,20	NUM
dem-1067	188	3	0,25	0,25	NUM
dem-1067	189	1	0,30	0,30	NOUN
dem-1067	190	1	0,35	0,35	NOUN
dem-1067	190	2	0,40	0,40	NUM
dem-1067	191	1	0,45	0,45	NUM
dem-1067	191	2	0,50	0,50	PROPN
dem-1067	191	3	coherence	coherence	NOUN
dem-1067	191	4	x	x	NOUN
dem-1067	191	5	:	:	PUNCT
dem-1067	191	6	s&p	s&p	PROPN
dem-1067	191	7	y	y	PROPN
dem-1067	191	8	:	:	PUNCT
dem-1067	191	9	wig	wig	NOUN
dem-1067	192	1	f	f	NOUN
dem-1067	192	2	c	c	NOUN
dem-1067	193	1	oh	oh	INTJ
dem-1067	193	2	er	er	INTJ
dem-1067	193	3	en	en	ADP
dem-1067	193	4	ce	ce	PROPN
dem-1067	193	5	0,0	0,0	NUM
dem-1067	193	6	0,1	0,1	NUM
dem-1067	193	7	0,2	0,2	NUM
dem-1067	193	8	0,3	0,3	NUM
dem-1067	193	9	0,4	0,4	NUM
dem-1067	193	10	0,5	0,5	NUM
dem-1067	193	11	0,6	0,6	NUM
dem-1067	193	12	0,7	0,7	NUM
dem-1067	193	13	0,0	0,0	NUM
dem-1067	193	14	0,1	0,1	NUM
dem-1067	193	15	0,2	0,2	NUM
dem-1067	193	16	0,3	0,3	NUM
dem-1067	193	17	0,4	0,4	NUM
dem-1067	193	18	0,5	0,5	NUM
dem-1067	193	19	0,6	0,6	NUM
dem-1067	193	20	0,7	0,7	NUM
dem-1067	193	21	0,00	0,00	X
dem-1067	193	22	0,05	0,05	NOUN
dem-1067	193	23	0,10	0,10	NOUN
dem-1067	194	1	0,15	0,15	NUM
dem-1067	194	2	0,20	0,20	NUM
dem-1067	194	3	0,25	0,25	NUM
dem-1067	195	1	0,30	0,30	NOUN
dem-1067	196	1	0,35	0,35	NOUN
dem-1067	196	2	0,40	0,40	NUM
dem-1067	197	1	0,45	0,45	NUM
dem-1067	197	2	0,50	0,50	PROPN
dem-1067	197	3	phase	phase	NOUN
dem-1067	197	4	spectrum	spectrum	NOUN
dem-1067	197	5	x	x	NOUN
dem-1067	197	6	:	:	PUNCT
dem-1067	197	7	s&p	s&p	PROPN
dem-1067	197	8	y	y	PROPN
dem-1067	197	9	:	:	PUNCT
dem-1067	197	10	wig	wig	NOUN
dem-1067	198	1	f	f	PROPN
dem-1067	198	2	p	p	X
dem-1067	198	3	ha	ha	INTJ
dem-1067	198	4	se	se	PROPN
dem-1067	198	5	s	s	PROPN
dem-1067	198	6	pe	pe	PROPN
dem-1067	198	7	ct	ct	PROPN
dem-1067	198	8	ru	ru	PROPN
dem-1067	199	1	m	m	PROPN
dem-1067	199	2	-1,2	-1,2	PROPN
dem-1067	200	1	-1,0	-1,0	PROPN
dem-1067	200	2	-0,8	-0,8	INTJ
dem-1067	200	3	-0,6	-0,6	PROPN
dem-1067	200	4	-0,4	-0,4	PUNCT
dem-1067	200	5	-0,2	-0,2	PROPN
dem-1067	200	6	0,0	0,0	NUM
dem-1067	200	7	-1,2	-1,2	PUNCT
dem-1067	201	1	-1,0	-1,0	NUM
dem-1067	201	2	-0,8	-0,8	INTJ
dem-1067	201	3	-0,6	-0,6	PROPN
dem-1067	201	4	-0,4	-0,4	PUNCT
dem-1067	201	5	-0,2	-0,2	PROPN
dem-1067	201	6	0,0	0,0	NUM
dem-1067	201	7	0,00	0,00	NUM
dem-1067	201	8	0,05	0,05	NUM
dem-1067	201	9	0,10	0,10	NOUN
dem-1067	202	1	0,15	0,15	NUM
dem-1067	202	2	0,20	0,20	NUM
dem-1067	202	3	0,25	0,25	NUM
dem-1067	203	1	0,30	0,30	NOUN
dem-1067	204	1	0,35	0,35	NOUN
dem-1067	204	2	0,40	0,40	NUM
dem-1067	205	1	0,45	0,45	NUM
dem-1067	205	2	0,50	0,50	PROPN
dem-1067	205	3	figure	figure	NOUN
dem-1067	205	4	3	3	NUM
dem-1067	205	5	.	.	PUNCT
dem-1067	206	1	gain	gain	NOUN
dem-1067	206	2	,	,	PUNCT
dem-1067	206	3	coherence	coherence	NOUN
dem-1067	206	4	and	and	CCONJ
dem-1067	206	5	phase	phase	NOUN
dem-1067	206	6	spectrum	spectrum	NOUN
dem-1067	206	7	for	for	ADP
dem-1067	206	8	wig	wig	NOUN
dem-1067	206	9	and	and	CCONJ
dem-1067	206	10	s&p	s&p	PROPN
dem-1067	206	11	;	;	PUNCT
dem-1067	206	12	estimates	estimate	NOUN
dem-1067	206	13	obtained	obtain	VERB
dem-1067	206	14	via	via	ADP
dem-1067	206	15	smoothing	smooth	VERB
dem-1067	206	16	the	the	DET
dem-1067	206	17	cross	cross	ADJ
dem-1067	206	18	-	-	ADJ
dem-1067	206	19	periodogram	periodogram	ADJ
dem-1067	206	20	table	table	NOUN
dem-1067	206	21	2	2	NUM
dem-1067	206	22	.	.	X
dem-1067	206	23	estimation	estimation	NOUN
dem-1067	206	24	results	result	NOUN
dem-1067	206	25	of	of	ADP
dem-1067	206	26	the	the	DET
dem-1067	206	27	unreduced	unreduced	ADJ
dem-1067	206	28	wavelet	wavelet	NOUN
dem-1067	206	29	transfer	transfer	NOUN
dem-1067	206	30	function	function	NOUN
dem-1067	206	31	model	model	NOUN
dem-1067	206	32	for	for	ADP
dem-1067	206	33	logarithmic	logarithmic	ADJ
dem-1067	206	34	returns	return	NOUN
dem-1067	206	35	on	on	ADP
dem-1067	206	36	wig	wig	NOUN
dem-1067	206	37	variable	variable	ADJ
dem-1067	206	38	coefficient	coefficient	NOUN
dem-1067	206	39	standard	standard	ADJ
dem-1067	206	40	error	error	NOUN
dem-1067	206	41	z	z	NOUN
dem-1067	206	42	-	-	PUNCT
dem-1067	206	43	statistic	statistic	ADJ
dem-1067	206	44	p	p	ADJ
dem-1067	206	45	-	-	PUNCT
dem-1067	206	46	value	value	NOUN
dem-1067	206	47	equation	equation	NOUN
dem-1067	206	48	for	for	ADP
dem-1067	206	49	the	the	DET
dem-1067	206	50	conditional	conditional	ADJ
dem-1067	206	51	mean	mean	NOUN
dem-1067	206	52	w1	w1	NOUN
dem-1067	206	53	0.101	0.101	NUM
dem-1067	206	54	0.028	0.028	NUM
dem-1067	206	55	3.570	3.570	NUM
dem-1067	206	56	0.0004	0.0004	NUM
dem-1067	206	57	w2	w2	NOUN
dem-1067	206	58	0.496	0.496	NUM
dem-1067	206	59	0.054	0.054	NUM
dem-1067	206	60	9.235	9.235	NUM
dem-1067	206	61	0.0000	0.0000	NUM
dem-1067	206	62	w3	w3	NOUN
dem-1067	206	63	0.505	0.505	NUM
dem-1067	206	64	0.082	0.082	NUM
dem-1067	206	65	6.194	6.194	NUM
dem-1067	206	66	0.0000	0.0000	NUM
dem-1067	206	67	w4	w4	NOUN
dem-1067	206	68	0.459	0.459	NUM
dem-1067	206	69	0.101	0.101	NUM
dem-1067	206	70	4.540	4.540	NUM
dem-1067	206	71	0.0000	0.0000	NUM
dem-1067	206	72	w5	w5	X
dem-1067	206	73	0.981	0.981	NUM
dem-1067	206	74	0.121	0.121	NUM
dem-1067	206	75	8.122	8.122	NUM
dem-1067	206	76	0.0000	0.0000	NUM
dem-1067	206	77	w6	w6	PROPN
dem-1067	206	78	0.862	0.862	NUM
dem-1067	206	79	0.171	0.171	NUM
dem-1067	206	80	5.034	5.034	NUM
dem-1067	206	81	0.0000	0.0000	NUM
dem-1067	206	82	w7	w7	VERB
dem-1067	206	83	0.993	0.993	NUM
dem-1067	206	84	0.256	0.256	NUM
dem-1067	206	85	3.888	3.888	NUM
dem-1067	206	86	0.0001	0.0001	NUM
dem-1067	206	87	v7	v7	VERB
dem-1067	206	88	0.850	0.850	NUM
dem-1067	206	89	0.174	0.174	NUM
dem-1067	206	90	4.886	4.886	NUM
dem-1067	206	91	0.0000	0.0000	NUM
dem-1067	206	92	ma(2	ma(2	NOUN
dem-1067	206	93	)	)	PUNCT
dem-1067	206	94	-0.188	-0.188	NOUN
dem-1067	206	95	0.058	0.058	NUM
dem-1067	206	96	-3.219	-3.219	NUM
dem-1067	206	97	0.0013	0.0013	NUM
dem-1067	206	98	ma(6	ma(6	PROPN
dem-1067	206	99	)	)	PUNCT
dem-1067	206	100	-0.128	-0.128	PUNCT
dem-1067	207	1	0.052	0.052	NUM
dem-1067	207	2	-2.464	-2.464	NOUN
dem-1067	207	3	0.0137	0.0137	NUM
dem-1067	207	4	equation	equation	NOUN
dem-1067	207	5	for	for	ADP
dem-1067	207	6	the	the	DET
dem-1067	207	7	conditional	conditional	ADJ
dem-1067	207	8	variance	variance	NOUN
dem-1067	207	9	c	c	NOUN
dem-1067	207	10	9.11e-07	9.11e-07	NUM
dem-1067	207	11	1.34e-06	1.34e-06	NUM
dem-1067	207	12	0.679	0.679	NUM
dem-1067	207	13	0.4973	0.4973	NUM
dem-1067	208	1	resid(-1)^2	resid(-1)^2	PROPN
dem-1067	208	2	0.080	0.080	NUM
dem-1067	208	3	0.024	0.024	NUM
dem-1067	208	4	3.320	3.320	NUM
dem-1067	208	5	0.0009	0.0009	NUM
dem-1067	208	6	garch(-1	garch(-1	NOUN
dem-1067	208	7	)	)	PUNCT
dem-1067	208	8	0.917	0.917	NUM
dem-1067	208	9	0.024	0.024	NUM
dem-1067	208	10	38.73	38.73	NUM
dem-1067	208	11	0.0000	0.0000	NUM
dem-1067	208	12	adj	adj	X
dem-1067	208	13	.	.	PUNCT
dem-1067	208	14	r2	r2	PROPN
dem-1067	208	15	=	=	PUNCT
dem-1067	209	1	29.81	29.81	NUM
dem-1067	209	2	%	%	NOUN
dem-1067	209	3	;	;	PUNCT
dem-1067	209	4	aic	aic	PROPN
dem-1067	209	5	=	=	SYM
dem-1067	209	6	-5.6382	-5.6382	PROPN
dem-1067	209	7	;	;	PUNCT
dem-1067	209	8	sc	sc	PROPN
dem-1067	209	9	=	=	PUNCT
dem-1067	209	10	-5.5100	-5.5100	PROPN
dem-1067	209	11	;	;	PUNCT
dem-1067	209	12	q	q	NOUN
dem-1067	209	13	=	=	NOUN
dem-1067	209	14	3.87	3.87	NUM
dem-1067	209	15	(	(	PUNCT
dem-1067	209	16	0.42	0.42	NUM
dem-1067	209	17	)	)	PUNCT
dem-1067	209	18	;	;	PUNCT
dem-1067	209	19	arch	arch	NOUN
dem-1067	209	20	=	=	SYM
dem-1067	209	21	2.25	2.25	NUM
dem-1067	209	22	(	(	PUNCT
dem-1067	209	23	0.33	0.33	NUM
dem-1067	209	24	)	)	PUNCT
dem-1067	209	25	;	;	PUNCT
dem-1067	210	1	jb	jb	PROPN
dem-1067	210	2	=	=	SYM
dem-1067	210	3	4.05	4.05	NUM
dem-1067	210	4	(	(	PUNCT
dem-1067	210	5	0.13	0.13	NUM
dem-1067	210	6	)	)	PUNCT
dem-1067	210	7	note	note	NOUN
dem-1067	210	8	:	:	PUNCT
dem-1067	210	9	see	see	VERB
dem-1067	210	10	note	note	NOUN
dem-1067	210	11	below	below	ADP
dem-1067	210	12	table	table	NOUN
dem-1067	210	13	1	1	NUM
dem-1067	210	14	.	.	PUNCT
dem-1067	210	15	table	table	NOUN
dem-1067	210	16	3	3	NUM
dem-1067	210	17	.	.	PUNCT
dem-1067	210	18	evaluation	evaluation	NOUN
dem-1067	210	19	of	of	ADP
dem-1067	210	20	forecast	forecast	NOUN
dem-1067	210	21	accuracy	accuracy	NOUN
dem-1067	210	22	i	i	PRON
dem-1067	210	23	ii	ii	VERB
dem-1067	210	24	iii	iii	NUM
dem-1067	210	25	iv	iv	NUM
dem-1067	210	26	v	v	NOUN
dem-1067	210	27	models	model	NOUN
dem-1067	210	28	for	for	ADP
dem-1067	210	29	wig	wig	NOUN
dem-1067	210	30	rmse	rmse	NOUN
dem-1067	211	1	14.512	14.512	NUM
dem-1067	211	2	15.002	15.002	NUM
dem-1067	211	3	14.543	14.543	NUM
dem-1067	211	4	14.397	14.397	NUM
dem-1067	211	5	14.451	14.451	NUM
dem-1067	211	6	mae	mae	PROPN
dem-1067	211	7	13.546	13.546	NUM
dem-1067	211	8	14.133	14.133	NUM
dem-1067	211	9	13.449	13.449	NUM
dem-1067	211	10	13.363	13.363	NUM
dem-1067	211	11	13.588	13.588	NUM
dem-1067	211	12	note	note	NOUN
dem-1067	211	13	:	:	PUNCT
dem-1067	211	14	rmse	rmse	ADJ
dem-1067	211	15	–	–	PUNCT
dem-1067	211	16	root	root	NOUN
dem-1067	211	17	mean	mean	VERB
dem-1067	211	18	squared	square	VERB
dem-1067	211	19	error	error	NOUN
dem-1067	211	20	;	;	PUNCT
dem-1067	211	21	mae	mae	PROPN
dem-1067	211	22	–	–	PUNCT
dem-1067	211	23	mean	mean	VERB
dem-1067	211	24	absolute	absolute	ADJ
dem-1067	211	25	error	error	NOUN
dem-1067	211	26	;	;	PUNCT
dem-1067	211	27	the	the	DET
dem-1067	211	28	mean	mean	ADJ
dem-1067	211	29	forecast	forecast	NOUN
dem-1067	211	30	errors	error	NOUN
dem-1067	211	31	are	be	AUX
dem-1067	211	32	multiplied	multiply	VERB
dem-1067	211	33	by	by	ADP
dem-1067	211	34	10000	10000	NUM
dem-1067	211	35	;	;	PUNCT
dem-1067	211	36	two	two	NUM
dem-1067	211	37	best	good	ADJ
dem-1067	211	38	results	result	NOUN
dem-1067	211	39	according	accord	VERB
dem-1067	211	40	to	to	ADP
dem-1067	211	41	each	each	DET
dem-1067	211	42	criterion	criterion	NOUN
dem-1067	211	43	are	be	AUX
dem-1067	211	44	in	in	ADP
dem-1067	211	45	bold	bold	ADJ
dem-1067	211	46	.	.	PUNCT
dem-1067	212	1	joanna	joanna	PROPN
dem-1067	212	2	bruzda	bruzda	VERB
dem-1067	212	3	152	152	NUM
dem-1067	212	4	conclusions	conclusion	NOUN
dem-1067	212	5	one	one	NUM
dem-1067	212	6	of	of	ADP
dem-1067	212	7	the	the	DET
dem-1067	212	8	most	most	ADV
dem-1067	212	9	interesting	interesting	ADJ
dem-1067	212	10	feature	feature	NOUN
dem-1067	212	11	of	of	ADP
dem-1067	212	12	the	the	DET
dem-1067	212	13	haar	haar	PROPN
dem-1067	212	14	wavelet	wavelet	NOUN
dem-1067	212	15	transfer	transfer	NOUN
dem-1067	212	16	function	function	NOUN
dem-1067	212	17	models	model	NOUN
dem-1067	212	18	suggested	suggest	VERB
dem-1067	212	19	here	here	ADV
dem-1067	212	20	is	be	AUX
dem-1067	212	21	the	the	DET
dem-1067	212	22	interpretation	interpretation	NOUN
dem-1067	212	23	of	of	ADP
dem-1067	212	24	their	their	PRON
dem-1067	212	25	parameters	parameter	NOUN
dem-1067	212	26	.	.	PUNCT
dem-1067	213	1	estimates	estimate	NOUN
dem-1067	213	2	of	of	ADP
dem-1067	213	3	parameters	parameter	NOUN
dem-1067	213	4	in	in	ADP
dem-1067	213	5	the	the	DET
dem-1067	213	6	haar	haar	NOUN
dem-1067	213	7	regressions	regression	NOUN
dem-1067	213	8	correspond	correspond	VERB
dem-1067	213	9	to	to	ADP
dem-1067	213	10	the	the	DET
dem-1067	213	11	absolute	absolute	ADJ
dem-1067	213	12	values	value	NOUN
dem-1067	213	13	of	of	ADP
dem-1067	213	14	the	the	DET
dem-1067	213	15	gain	gain	NOUN
dem-1067	213	16	function	function	NOUN
dem-1067	213	17	.	.	PUNCT
dem-1067	214	1	although	although	SCONJ
dem-1067	214	2	they	they	PRON
dem-1067	214	3	do	do	AUX
dem-1067	214	4	not	not	PART
dem-1067	214	5	provide	provide	VERB
dem-1067	214	6	precise	precise	ADJ
dem-1067	214	7	values	value	NOUN
dem-1067	214	8	of	of	ADP
dem-1067	214	9	the	the	DET
dem-1067	214	10	gain	gain	NOUN
dem-1067	214	11	,	,	PUNCT
dem-1067	214	12	they	they	PRON
dem-1067	214	13	are	be	AUX
dem-1067	214	14	able	able	ADJ
dem-1067	214	15	to	to	PART
dem-1067	214	16	recapture	recapture	VERB
dem-1067	214	17	the	the	DET
dem-1067	214	18	shape	shape	NOUN
dem-1067	214	19	of	of	ADP
dem-1067	214	20	this	this	DET
dem-1067	214	21	function	function	NOUN
dem-1067	214	22	and	and	CCONJ
dem-1067	214	23	to	to	PART
dem-1067	214	24	characterise	characterise	VERB
dem-1067	214	25	the	the	DET
dem-1067	214	26	frequency	frequency	NOUN
dem-1067	214	27	content	content	NOUN
dem-1067	214	28	of	of	ADP
dem-1067	214	29	a	a	DET
dem-1067	214	30	bivariate	bivariate	ADJ
dem-1067	214	31	relationship	relationship	NOUN
dem-1067	214	32	.	.	PUNCT
dem-1067	215	1	this	this	DET
dem-1067	215	2	interesting	interesting	ADJ
dem-1067	215	3	information	information	NOUN
dem-1067	215	4	is	be	AUX
dem-1067	215	5	provided	provide	VERB
dem-1067	215	6	at	at	ADP
dem-1067	215	7	a	a	DET
dem-1067	215	8	relatively	relatively	ADV
dem-1067	215	9	low	low	ADJ
dem-1067	215	10	computational	computational	ADJ
dem-1067	215	11	cost	cost	NOUN
dem-1067	215	12	,	,	PUNCT
dem-1067	215	13	as	as	SCONJ
dem-1067	215	14	the	the	DET
dem-1067	215	15	computational	computational	ADJ
dem-1067	215	16	complexity	complexity	NOUN
dem-1067	215	17	of	of	ADP
dem-1067	215	18	the	the	DET
dem-1067	215	19	modwt	modwt	NOUN
dem-1067	215	20	is	be	AUX
dem-1067	215	21	the	the	DET
dem-1067	215	22	same	same	ADJ
dem-1067	215	23	as	as	ADP
dem-1067	215	24	that	that	PRON
dem-1067	215	25	of	of	ADP
dem-1067	215	26	the	the	DET
dem-1067	215	27	well	well	ADV
dem-1067	215	28	known	know	VERB
dem-1067	215	29	fast	fast	ADJ
dem-1067	215	30	fourier	fourier	NOUN
dem-1067	215	31	transform	transform	NOUN
dem-1067	215	32	.	.	PUNCT
dem-1067	216	1	besides	besides	SCONJ
dem-1067	216	2	,	,	PUNCT
dem-1067	216	3	the	the	DET
dem-1067	216	4	models	model	NOUN
dem-1067	216	5	can	can	AUX
dem-1067	216	6	easily	easily	ADV
dem-1067	216	7	be	be	AUX
dem-1067	216	8	used	use	VERB
dem-1067	216	9	to	to	PART
dem-1067	216	10	verify	verify	VERB
dem-1067	216	11	hypothesis	hypothesis	NOUN
dem-1067	216	12	about	about	ADP
dem-1067	216	13	changes	change	NOUN
dem-1067	216	14	of	of	ADP
dem-1067	216	15	regression	regression	NOUN
dem-1067	216	16	coefficients	coefficient	NOUN
dem-1067	216	17	across	across	ADP
dem-1067	216	18	scales	scale	NOUN
dem-1067	216	19	.	.	PUNCT
dem-1067	217	1	it	it	PRON
dem-1067	217	2	is	be	AUX
dem-1067	217	3	also	also	ADV
dem-1067	217	4	worth	worth	ADJ
dem-1067	217	5	emphasizing	emphasize	VERB
dem-1067	217	6	that	that	SCONJ
dem-1067	217	7	forecasting	forecasting	NOUN
dem-1067	217	8	with	with	ADP
dem-1067	217	9	the	the	DET
dem-1067	217	10	haar	haar	PROPN
dem-1067	217	11	wavelet	wavelet	NOUN
dem-1067	217	12	transfer	transfer	NOUN
dem-1067	217	13	function	function	NOUN
dem-1067	217	14	models	model	NOUN
dem-1067	217	15	is	be	AUX
dem-1067	217	16	no	no	PRON
dem-1067	217	17	more	more	ADV
dem-1067	217	18	complicated	complicated	ADJ
dem-1067	217	19	than	than	ADP
dem-1067	217	20	in	in	ADP
dem-1067	217	21	the	the	DET
dem-1067	217	22	case	case	NOUN
dem-1067	217	23	of	of	ADP
dem-1067	217	24	standard	standard	ADJ
dem-1067	217	25	transfer	transfer	NOUN
dem-1067	217	26	function	function	NOUN
dem-1067	217	27	models	model	NOUN
dem-1067	217	28	.	.	PUNCT
dem-1067	218	1	furthermore	furthermore	ADV
dem-1067	218	2	,	,	PUNCT
dem-1067	218	3	they	they	PRON
dem-1067	218	4	do	do	AUX
dem-1067	218	5	not	not	PART
dem-1067	218	6	require	require	VERB
dem-1067	218	7	long	long	ADJ
dem-1067	218	8	time	time	NOUN
dem-1067	218	9	series	series	NOUN
dem-1067	218	10	and	and	CCONJ
dem-1067	218	11	can	can	AUX
dem-1067	218	12	be	be	AUX
dem-1067	218	13	easily	easily	ADV
dem-1067	218	14	generalised	generalise	VERB
dem-1067	218	15	to	to	PART
dem-1067	218	16	include	include	VERB
dem-1067	218	17	deterministic	deterministic	ADJ
dem-1067	218	18	components	component	NOUN
dem-1067	218	19	and	and	CCONJ
dem-1067	218	20	multiple	multiple	ADJ
dem-1067	218	21	exogenous	exogenous	ADJ
dem-1067	218	22	variables	variable	NOUN
dem-1067	218	23	.	.	PUNCT
dem-1067	219	1	the	the	DET
dem-1067	219	2	empirical	empirical	ADJ
dem-1067	219	3	analysis	analysis	NOUN
dem-1067	219	4	presented	present	VERB
dem-1067	219	5	in	in	ADP
dem-1067	219	6	the	the	DET
dem-1067	219	7	paper	paper	NOUN
dem-1067	219	8	confirms	confirm	VERB
dem-1067	219	9	that	that	SCONJ
dem-1067	219	10	the	the	DET
dem-1067	219	11	haar	haar	PROPN
dem-1067	219	12	wavelet	wavelet	NOUN
dem-1067	219	13	transfer	transfer	NOUN
dem-1067	219	14	function	function	NOUN
dem-1067	219	15	model	model	NOUN
dem-1067	219	16	can	can	AUX
dem-1067	219	17	be	be	AUX
dem-1067	219	18	quite	quite	ADV
dem-1067	219	19	successful	successful	ADJ
dem-1067	219	20	in	in	ADP
dem-1067	219	21	describing	describe	VERB
dem-1067	219	22	economic	economic	ADJ
dem-1067	219	23	relationships	relationship	NOUN
dem-1067	219	24	and	and	CCONJ
dem-1067	219	25	in	in	ADP
dem-1067	219	26	forecasting	forecast	VERB
dem-1067	219	27	economic	economic	ADJ
dem-1067	219	28	variables	variable	NOUN
dem-1067	219	29	.	.	PUNCT
dem-1067	220	1	the	the	DET
dem-1067	220	2	approach	approach	NOUN
dem-1067	220	3	provides	provide	VERB
dem-1067	220	4	an	an	DET
dem-1067	220	5	interesting	interesting	ADJ
dem-1067	220	6	insight	insight	NOUN
dem-1067	220	7	into	into	ADP
dem-1067	220	8	the	the	DET
dem-1067	220	9	frequency	frequency	NOUN
dem-1067	220	10	character	character	NOUN
dem-1067	220	11	of	of	ADP
dem-1067	220	12	the	the	DET
dem-1067	220	13	relationships	relationship	NOUN
dem-1067	220	14	under	under	ADP
dem-1067	220	15	scrutiny	scrutiny	NOUN
dem-1067	220	16	,	,	PUNCT
dem-1067	220	17	being	be	AUX
dem-1067	220	18	at	at	ADP
dem-1067	220	19	the	the	DET
dem-1067	220	20	same	same	ADJ
dem-1067	220	21	time	time	NOUN
dem-1067	220	22	simple	simple	ADJ
dem-1067	220	23	and	and	CCONJ
dem-1067	220	24	parsimonious	parsimonious	ADJ
dem-1067	220	25	in	in	ADP
dem-1067	220	26	parameters	parameter	NOUN
dem-1067	220	27	.	.	PUNCT
dem-1067	221	1	the	the	DET
dem-1067	221	2	causal	causal	ADJ
dem-1067	221	3	filters	filter	NOUN
dem-1067	221	4	applied	apply	VERB
dem-1067	221	5	here	here	ADV
dem-1067	221	6	can	can	AUX
dem-1067	221	7	also	also	ADV
dem-1067	221	8	serve	serve	VERB
dem-1067	221	9	the	the	DET
dem-1067	221	10	purpose	purpose	NOUN
dem-1067	221	11	of	of	ADP
dem-1067	221	12	band	band	NOUN
dem-1067	221	13	-	-	PUNCT
dem-1067	221	14	pass	pass	NOUN
dem-1067	221	15	filtering	filtering	ADJ
dem-1067	221	16	exogenous	exogenous	ADJ
dem-1067	221	17	variables	variable	NOUN
dem-1067	221	18	,	,	PUNCT
dem-1067	221	19	when	when	SCONJ
dem-1067	221	20	the	the	DET
dem-1067	221	21	causal	causal	ADJ
dem-1067	221	22	relationship	relationship	NOUN
dem-1067	221	23	takes	take	VERB
dem-1067	221	24	place	place	NOUN
dem-1067	221	25	in	in	ADP
dem-1067	221	26	a	a	DET
dem-1067	221	27	constrained	constrain	VERB
dem-1067	221	28	frequency	frequency	NOUN
dem-1067	221	29	range	range	NOUN
dem-1067	221	30	.	.	PUNCT
dem-1067	222	1	an	an	DET
dem-1067	222	2	example	example	NOUN
dem-1067	222	3	of	of	ADP
dem-1067	222	4	such	such	DET
dem-1067	222	5	an	an	DET
dem-1067	222	6	empirical	empirical	ADJ
dem-1067	222	7	model	model	NOUN
dem-1067	222	8	with	with	ADP
dem-1067	222	9	an	an	DET
dem-1067	222	10	application	application	NOUN
dem-1067	222	11	to	to	ADP
dem-1067	222	12	forecasting	forecasting	NOUN
dem-1067	222	13	can	can	AUX
dem-1067	222	14	be	be	AUX
dem-1067	222	15	found	find	VERB
dem-1067	222	16	in	in	ADP
dem-1067	222	17	bruzda	bruzda	PROPN
dem-1067	222	18	(	(	PUNCT
dem-1067	222	19	2011	2011	NUM
dem-1067	222	20	)	)	PUNCT
dem-1067	222	21	.	.	PUNCT
dem-1067	223	1	references	reference	NOUN
dem-1067	223	2	ashley	ashley	PROPN
dem-1067	223	3	,	,	PUNCT
dem-1067	223	4	r.	r.	PROPN
dem-1067	223	5	,	,	PUNCT
dem-1067	223	6	verbrugge	verbrugge	PROPN
dem-1067	223	7	,	,	PUNCT
dem-1067	223	8	r.	r.	PROPN
dem-1067	223	9	j.	j.	PROPN
dem-1067	223	10	(	(	PUNCT
dem-1067	223	11	2008	2008	NUM
dem-1067	223	12	)	)	PUNCT
dem-1067	223	13	,	,	PUNCT
dem-1067	223	14	frequency	frequency	NOUN
dem-1067	223	15	dependence	dependence	NOUN
dem-1067	223	16	in	in	ADP
dem-1067	223	17	regression	regression	NOUN
dem-1067	223	18	model	model	NOUN
dem-1067	223	19	coefficients	coefficient	NOUN
dem-1067	223	20	:	:	PUNCT
dem-1067	223	21	an	an	DET
dem-1067	223	22	alternative	alternative	ADJ
dem-1067	223	23	approach	approach	NOUN
dem-1067	223	24	for	for	ADP
dem-1067	223	25	modeling	model	VERB
dem-1067	223	26	nonlinear	nonlinear	ADJ
dem-1067	223	27	dynamic	dynamic	ADJ
dem-1067	223	28	relationships	relationship	NOUN
dem-1067	223	29	in	in	ADP
dem-1067	223	30	time	time	NOUN
dem-1067	223	31	series	series	PROPN
dem-1067	223	32	,	,	PUNCT
dem-1067	223	33	econometric	econometric	ADJ
dem-1067	223	34	reviews	review	NOUN
dem-1067	223	35	,	,	PUNCT
dem-1067	223	36	28	28	NUM
dem-1067	223	37	,	,	PUNCT
dem-1067	223	38	4–20	4–20	PROPN
dem-1067	223	39	.	.	PUNCT
dem-1067	223	40	box	box	PROPN
dem-1067	223	41	,	,	PUNCT
dem-1067	223	42	g.	g.	PROPN
dem-1067	223	43	e.	e.	PROPN
dem-1067	223	44	p.	p.	PROPN
dem-1067	223	45	,	,	PUNCT
dem-1067	223	46	jenkins	jenkins	PROPN
dem-1067	223	47	,	,	PUNCT
dem-1067	223	48	g.	g.	PROPN
dem-1067	223	49	m.	m.	PROPN
dem-1067	223	50	,	,	PUNCT
dem-1067	223	51	reinsel	reinsel	NOUN
dem-1067	223	52	,	,	PUNCT
dem-1067	223	53	g.	g.	PROPN
dem-1067	223	54	c.	c.	PROPN
dem-1067	223	55	(	(	PUNCT
dem-1067	223	56	2008	2008	NUM
dem-1067	223	57	)	)	PUNCT
dem-1067	223	58	,	,	PUNCT
dem-1067	223	59	time	time	NOUN
dem-1067	223	60	series	series	PROPN
dem-1067	223	61	analysis	analysis	NOUN
dem-1067	223	62	.	.	PUNCT
dem-1067	224	1	forecasting	forecasting	NOUN
dem-1067	224	2	and	and	CCONJ
dem-1067	224	3	control	control	NOUN
dem-1067	224	4	,	,	PUNCT
dem-1067	224	5	4th	4th	ADJ
dem-1067	224	6	edition	edition	NOUN
dem-1067	224	7	,	,	PUNCT
dem-1067	224	8	wiley	wiley	PROPN
dem-1067	224	9	,	,	PUNCT
dem-1067	224	10	new	new	PROPN
dem-1067	224	11	jersey	jersey	PROPN
dem-1067	224	12	.	.	PUNCT
dem-1067	225	1	bruzda	bruzda	PROPN
dem-1067	225	2	,	,	PUNCT
dem-1067	225	3	j.	j.	PROPN
dem-1067	225	4	(	(	PUNCT
dem-1067	225	5	2011	2011	NUM
dem-1067	225	6	)	)	PUNCT
dem-1067	225	7	,	,	PUNCT
dem-1067	225	8	wavelet	wavelet	NOUN
dem-1067	225	9	analysis	analysis	NOUN
dem-1067	225	10	of	of	ADP
dem-1067	225	11	economic	economic	ADJ
dem-1067	225	12	processes	process	NOUN
dem-1067	225	13	,	,	PUNCT
dem-1067	225	14	monograph	monograph	NOUN
dem-1067	225	15	in	in	ADP
dem-1067	225	16	preparation	preparation	NOUN
dem-1067	225	17	.	.	PUNCT
dem-1067	226	1	hunt	hunt	NOUN
dem-1067	226	2	,	,	PUNCT
dem-1067	226	3	k.	k.	PROPN
dem-1067	226	4	,	,	PUNCT
dem-1067	226	5	nason	nason	PROPN
dem-1067	226	6	,	,	PUNCT
dem-1067	226	7	g.	g.	PROPN
dem-1067	226	8	p.	p.	PROPN
dem-1067	226	9	(	(	PUNCT
dem-1067	226	10	2001	2001	NUM
dem-1067	226	11	)	)	PUNCT
dem-1067	226	12	,	,	PUNCT
dem-1067	226	13	wind	wind	NOUN
dem-1067	226	14	speed	speed	NOUN
dem-1067	226	15	modelling	modelling	NOUN
dem-1067	226	16	and	and	CCONJ
dem-1067	226	17	short	short	ADJ
dem-1067	226	18	-	-	PUNCT
dem-1067	226	19	term	term	NOUN
dem-1067	226	20	prediction	prediction	NOUN
dem-1067	226	21	using	use	VERB
dem-1067	226	22	wavelets	wavelet	NOUN
dem-1067	226	23	,	,	PUNCT
dem-1067	226	24	wind	wind	NOUN
dem-1067	226	25	engineering	engineering	NOUN
dem-1067	226	26	,	,	PUNCT
dem-1067	226	27	25	25	NUM
dem-1067	226	28	,	,	PUNCT
dem-1067	226	29	55–61	55–61	NUM
dem-1067	226	30	.	.	PUNCT
dem-1067	227	1	hunt	hunt	PROPN
dem-1067	227	2	,	,	PUNCT
dem-1067	227	3	k.	k.	PROPN
dem-1067	227	4	(	(	PUNCT
dem-1067	227	5	2002	2002	NUM
dem-1067	227	6	)	)	PUNCT
dem-1067	227	7	,	,	PUNCT
dem-1067	227	8	wavelet	wavelet	NOUN
dem-1067	227	9	methods	method	NOUN
dem-1067	227	10	for	for	ADP
dem-1067	227	11	transfer	transfer	NOUN
dem-1067	227	12	function	function	NOUN
dem-1067	227	13	modelling	modelling	NOUN
dem-1067	227	14	,	,	PUNCT
dem-1067	227	15	phd	phd	NOUN
dem-1067	227	16	thesis	thesis	NOUN
dem-1067	227	17	,	,	PUNCT
dem-1067	227	18	university	university	NOUN
dem-1067	227	19	of	of	ADP
dem-1067	227	20	bristol	bristol	PROPN
dem-1067	227	21	.	.	PUNCT
dem-1067	228	1	michis	michis	PRON
dem-1067	228	2	,	,	PUNCT
dem-1067	228	3	a.	a.	NOUN
dem-1067	228	4	a.	a.	NOUN
dem-1067	228	5	(	(	PUNCT
dem-1067	228	6	2006	2006	NUM
dem-1067	228	7	)	)	PUNCT
dem-1067	228	8	,	,	PUNCT
dem-1067	228	9	increasing	increase	VERB
dem-1067	228	10	marketing	marketing	NOUN
dem-1067	228	11	accuracy	accuracy	NOUN
dem-1067	228	12	.	.	PUNCT
dem-1067	229	1	wavelet	wavelet	NOUN
dem-1067	229	2	based	base	VERB
dem-1067	229	3	forecasting	forecasting	NOUN
dem-1067	229	4	techniques	technique	NOUN
dem-1067	229	5	,	,	PUNCT
dem-1067	229	6	esomar	esomar	PROPN
dem-1067	229	7	congress	congress	PROPN
dem-1067	229	8	2006	2006	NUM
dem-1067	229	9	research	research	NOUN
dem-1067	229	10	paper	paper	NOUN
dem-1067	229	11	.	.	PUNCT
dem-1067	230	1	nason	nason	PROPN
dem-1067	230	2	,	,	PUNCT
dem-1067	230	3	g.	g.	PROPN
dem-1067	230	4	p.	p.	PROPN
dem-1067	230	5	,	,	PUNCT
dem-1067	230	6	sapatinas	sapatina	NOUN
dem-1067	230	7	,	,	PUNCT
dem-1067	230	8	t.	t.	PROPN
dem-1067	230	9	(	(	PUNCT
dem-1067	230	10	2002	2002	NUM
dem-1067	230	11	)	)	PUNCT
dem-1067	230	12	,	,	PUNCT
dem-1067	230	13	wavelet	wavelet	NOUN
dem-1067	230	14	packet	packet	NOUN
dem-1067	230	15	transfer	transfer	NOUN
dem-1067	230	16	function	function	NOUN
dem-1067	230	17	modelling	modelling	NOUN
dem-1067	230	18	of	of	ADP
dem-1067	230	19	nonstationary	nonstationary	ADJ
dem-1067	230	20	time	time	NOUN
dem-1067	230	21	series	series	PROPN
dem-1067	230	22	,	,	PUNCT
dem-1067	230	23	statistics	statistic	NOUN
dem-1067	230	24	and	and	CCONJ
dem-1067	230	25	computing	computing	NOUN
dem-1067	230	26	,	,	PUNCT
dem-1067	230	27	12	12	NUM
dem-1067	230	28	,	,	PUNCT
dem-1067	230	29	45–56	45–56	NUM
dem-1067	230	30	.	.	PUNCT
dem-1067	231	1	nason	nason	PROPN
dem-1067	231	2	,	,	PUNCT
dem-1067	231	3	g.	g.	PROPN
dem-1067	231	4	p.	p.	PROPN
dem-1067	231	5	,	,	PUNCT
dem-1067	231	6	sapatinas	sapatina	NOUN
dem-1067	231	7	,	,	PUNCT
dem-1067	231	8	t.	t.	PROPN
dem-1067	231	9	,	,	PUNCT
dem-1067	231	10	sawczenko	sawczenko	PROPN
dem-1067	231	11	,	,	PUNCT
dem-1067	231	12	a.	a.	NOUN
dem-1067	231	13	(	(	PUNCT
dem-1067	231	14	2001	2001	NUM
dem-1067	231	15	)	)	PUNCT
dem-1067	231	16	,	,	PUNCT
dem-1067	231	17	wavelet	wavelet	NOUN
dem-1067	231	18	packet	packet	NOUN
dem-1067	231	19	modeling	modeling	NOUN
dem-1067	231	20	of	of	ADP
dem-1067	231	21	infant	infant	NOUN
dem-1067	231	22	sleep	sleep	NOUN
dem-1067	231	23	state	state	NOUN
dem-1067	231	24	using	use	VERB
dem-1067	231	25	heart	heart	NOUN
dem-1067	231	26	rate	rate	NOUN
dem-1067	231	27	data	datum	NOUN
dem-1067	231	28	,	,	PUNCT
dem-1067	231	29	sankhyā	sankhyā	PROPN
dem-1067	231	30	b	b	PROPN
dem-1067	231	31	,	,	PUNCT
dem-1067	231	32	63	63	NUM
dem-1067	231	33	,	,	PUNCT
dem-1067	231	34	199–217	199–217	NUM
dem-1067	231	35	.	.	PUNCT
dem-1067	232	1	percival	percival	NOUN
dem-1067	232	2	,	,	PUNCT
dem-1067	232	3	d.	d.	PROPN
dem-1067	232	4	b.	b.	PROPN
dem-1067	232	5	,	,	PUNCT
dem-1067	232	6	walden	walden	PROPN
dem-1067	232	7	,	,	PUNCT
dem-1067	232	8	a.	a.	NOUN
dem-1067	232	9	t.	t.	PROPN
dem-1067	232	10	(	(	PUNCT
dem-1067	232	11	2000	2000	NUM
dem-1067	232	12	)	)	PUNCT
dem-1067	232	13	,	,	PUNCT
dem-1067	232	14	wavelet	wavelet	NOUN
dem-1067	232	15	methods	method	NOUN
dem-1067	232	16	for	for	ADP
dem-1067	232	17	time	time	NOUN
dem-1067	232	18	series	series	PROPN
dem-1067	232	19	analysis	analysis	PROPN
dem-1067	232	20	,	,	PUNCT
dem-1067	232	21	cambridge	cambridge	PROPN
dem-1067	232	22	university	university	PROPN
dem-1067	232	23	press	press	PROPN
dem-1067	232	24	,	,	PUNCT
dem-1067	232	25	cambridge	cambridge	PROPN
dem-1067	232	26	.	.	PUNCT
dem-1067	233	1	the	the	DET
dem-1067	233	2	haar	haar	PROPN
dem-1067	233	3	wavelet	wavelet	NOUN
dem-1067	233	4	transfer	transfer	NOUN
dem-1067	233	5	function	function	NOUN
dem-1067	233	6	model	model	NOUN
dem-1067	233	7	and	and	CCONJ
dem-1067	233	8	its	its	PRON
dem-1067	233	9	applications	application	NOUN
dem-1067	233	10	153	153	NUM
dem-1067	233	11	stawicki	stawicki	NOUN
dem-1067	233	12	,	,	PUNCT
dem-1067	233	13	j.	j.	PROPN
dem-1067	233	14	(	(	PUNCT
dem-1067	233	15	1993	1993	NUM
dem-1067	233	16	)	)	PUNCT
dem-1067	233	17	,	,	PUNCT
dem-1067	233	18	metody	metody	ADJ
dem-1067	233	19	filtracji	filtracji	NOUN
dem-1067	233	20	w	w	PROPN
dem-1067	233	21	modelowaniu	modelowaniu	VERB
dem-1067	233	22	procesów	procesów	PUNCT
dem-1067	233	23	ekonomicznych	ekonomicznych	PROPN
dem-1067	233	24	,	,	PUNCT
dem-1067	233	25	(	(	PUNCT
dem-1067	233	26	filtration	filtration	NOUN
dem-1067	233	27	methods	method	NOUN
dem-1067	233	28	in	in	ADP
dem-1067	233	29	modelling	model	VERB
dem-1067	233	30	economic	economic	ADJ
dem-1067	233	31	processes	process	NOUN
dem-1067	233	32	)	)	PUNCT
dem-1067	233	33	,	,	PUNCT
dem-1067	233	34	wydawnictwo	wydawnictwo	PROPN
dem-1067	233	35	umk	umk	NOUN
dem-1067	233	36	,	,	PUNCT
dem-1067	233	37	toruń	toruń	NOUN
dem-1067	233	38	.	.	PUNCT
dem-1067	234	1	falkowy	falkowy	PROPN
dem-1067	234	2	model	model	PROPN
dem-1067	234	3	funkcji	funkcji	PROPN
dem-1067	234	4	transferowej	transferowej	VERB
dem-1067	234	5	oparty	oparty	NOUN
dem-1067	234	6	na	na	AUX
dem-1067	234	7	falce	falce	PROPN
dem-1067	234	8	haara	haara	PROPN
dem-1067	235	1	i	i	PROPN
dem-1067	235	2	jego	jego	PROPN
dem-1067	235	3	zastosowania	zastosowania	PROPN
dem-1067	235	4	z	z	PROPN
dem-1067	236	1	a	a	DET
dem-1067	236	2	r	r	NOUN
dem-1067	236	3	y	y	PROPN
dem-1067	236	4	s	s	PROPN
dem-1067	236	5	t	t	NOUN
dem-1067	236	6	r	r	NOUN
dem-1067	236	7	e	e	PROPN
dem-1067	236	8	ś	ś	PROPN
dem-1067	236	9	c	c	PROPN
dem-1067	236	10	i.	i.	PROPN
dem-1067	236	11	w	w	PROPN
dem-1067	236	12	artykule	artykule	PROPN
dem-1067	236	13	proponuje	proponuje	ADJ
dem-1067	236	14	się	się	PROPN
dem-1067	236	15	falkowy	falkowy	PROPN
dem-1067	236	16	model	model	PROPN
dem-1067	236	17	funkcji	funkcji	PROPN
dem-1067	236	18	transferowej	transferowej	VERB
dem-1067	236	19	oparty	oparty	NOUN
dem-1067	236	20	na	na	AUX
dem-1067	236	21	falce	falce	PROPN
dem-1067	236	22	haara	haara	PROPN
dem-1067	236	23	jako	jako	PROPN
dem-1067	236	24	metodę	metodę	PROPN
dem-1067	236	25	konstrukcji	konstrukcji	PROPN
dem-1067	237	1	modeli	modeli	PROPN
dem-1067	237	2	funkcji	funkcji	PROPN
dem-1067	237	3	transferowej	transferowej	VERB
dem-1067	237	4	pozwalającą	pozwalającą	VERB
dem-1067	237	5	na	na	AUX
dem-1067	237	6	oszczędną	oszczędną	PROPN
dem-1067	237	7	parametryzację	parametryzację	NOUN
dem-1067	237	8	odpowiedzi	odpowiedzi	PROPN
dem-1067	237	9	impulsowych	impulsowych	PROPN
dem-1067	237	10	oraz	oraz	PROPN
dem-1067	237	11	dostarczającą	dostarczającą	PROPN
dem-1067	237	12	parametrów	parametrów	PROPN
dem-1067	237	13	,	,	PUNCT
dem-1067	237	14	które	które	PROPN
dem-1067	237	15	mają	mają	PROPN
dem-1067	237	16	ciekawą	ciekawą	PROPN
dem-1067	237	17	interpretację	interpretację	PROPN
dem-1067	237	18	częstotliwościową	częstotliwościową	PROPN
dem-1067	237	19	,	,	PUNCT
dem-1067	237	20	dając	dając	PROPN
dem-1067	237	21	wgląd	wgląd	PROPN
dem-1067	237	22	w	w	PROPN
dem-1067	237	23	kształt	kształt	PROPN
dem-1067	237	24	funkcji	funkcji	PROPN
dem-1067	237	25	przyrostu	przyrostu	PROPN
dem-1067	238	1	i	i	PRON
dem-1067	238	2	spektrum	spektrum	PROPN
dem-1067	238	3	fazowego	fazowego	PROPN
dem-1067	238	4	procesu	procesu	PROPN
dem-1067	238	5	dwuwymiarowego	dwuwymiarowego	PROPN
dem-1067	238	6	.	.	PUNCT
dem-1067	239	1	ponadto	ponadto	PROPN
dem-1067	239	2	pozwalają	pozwalają	NOUN
dem-1067	239	3	one	one	NUM
dem-1067	239	4	na	na	ADP
dem-1067	239	5	weryfikację	weryfikację	VERB
dem-1067	239	6	hipotez	hipotez	PROPN
dem-1067	239	7	dotyczących	dotyczących	PROPN
dem-1067	239	8	zmian	zmian	PROPN
dem-1067	239	9	współczynnika	współczynnika	PROPN
dem-1067	239	10	regresji	regresji	VERB
dem-1067	239	11	w	w	PROPN
dem-1067	239	12	zależności	zależności	PROPN
dem-1067	239	13	od	od	PROPN
dem-1067	239	14	diadycznej	diadycznej	PROPN
dem-1067	239	15	skali	skali	PROPN
dem-1067	239	16	czasu	czasu	PROPN
dem-1067	239	17	.	.	PUNCT
dem-1067	240	1	w	w	PROPN
dem-1067	240	2	artykule	artykule	PROPN
dem-1067	240	3	analizuje	analizuje	PROPN
dem-1067	240	4	się	się	PROPN
dem-1067	240	5	teoretyczne	teoretyczne	PROPN
dem-1067	240	6	własności	własności	PROPN
dem-1067	240	7	takich	takich	INTJ
dem-1067	240	8	modeli	modeli	PROPN
dem-1067	240	9	i	i	PRON
dem-1067	240	10	ilustruje	ilustruje	PROPN
dem-1067	240	11	w	w	PROPN
dem-1067	240	12	przykładzie	przykładzie	ADJ
dem-1067	240	13	empirycznym	empirycznym	NOUN
dem-1067	240	14	dotyczącym	dotyczącym	PROPN
dem-1067	240	15	modelowania	modelowania	PROPN
dem-1067	240	16	stóp	stóp	PROPN
dem-1067	240	17	zwrotu	zwrotu	PROPN
dem-1067	240	18	z	z	PROPN
dem-1067	240	19	indeksu	indeksu	PROPN
dem-1067	240	20	wig	wig	PROPN
dem-1067	240	21	w	w	PROPN
dem-1067	240	22	zależności	zależności	PROPN
dem-1067	240	23	od	od	PROPN
dem-1067	240	24	stóp	stóp	PROPN
dem-1067	240	25	zwrotu	zwrotu	PROPN
dem-1067	240	26	z	z	PROPN
dem-1067	240	27	s&p	s&p	PROPN
dem-1067	240	28	500	500	NUM
dem-1067	240	29	.	.	PUNCT
dem-1067	241	1	interesujące	interesujące	PROPN
dem-1067	241	2	jest	jest	PROPN
dem-1067	241	3	,	,	PUNCT
dem-1067	241	4	iż	iż	NOUN
dem-1067	241	5	poza	poza	PROPN
dem-1067	241	6	ciekawymi	ciekawymi	ADJ
dem-1067	241	7	interpretacjami	interpretacjami	PROPN
dem-1067	241	8	parametrów	parametrów	PROPN
dem-1067	241	9	oszacowane	oszacowane	PROPN
dem-1067	241	10	falkowe	falkowe	VERB
dem-1067	241	11	modele	modele	PROPN
dem-1067	241	12	funkcji	funkcji	PROPN
dem-1067	241	13	transferowej	transferowej	VERB
dem-1067	241	14	dostarczyły	dostarczyły	PROPN
dem-1067	241	15	także	także	NOUN
dem-1067	241	16	dobrych	dobrych	NOUN
dem-1067	241	17	prognoz	prognoz	PROPN
dem-1067	241	18	.	.	PUNCT
dem-1067	242	1	s	s	PART
dem-1067	242	2	ł	ł	PROPN
dem-1067	242	3	o	o	X
dem-1067	242	4	w	w	NOUN
dem-1067	242	5	a	a	DET
dem-1067	242	6	k	k	X
dem-1067	242	7	l	l	NOUN
dem-1067	242	8	u	u	NOUN
dem-1067	243	1	c	c	NOUN
dem-1067	243	2	z	z	NOUN
dem-1067	243	3	o	o	X
dem-1067	243	4	w	w	PROPN
dem-1067	243	5	e	e	NOUN
dem-1067	243	6	:	:	PUNCT
dem-1067	243	7	falkowy	falkowy	ADJ
dem-1067	243	8	model	model	PROPN
dem-1067	243	9	funkcji	funkcji	PROPN
dem-1067	243	10	transferowej	transferowej	PROPN
dem-1067	243	11	,	,	PUNCT
dem-1067	243	12	falka	falka	NOUN
dem-1067	243	13	haara	haara	NOUN
dem-1067	243	14	,	,	PUNCT
dem-1067	243	15	niezdziesiątkowana	niezdziesiątkowana	PROPN
dem-1067	243	16	dyskretna	dyskretna	PROPN
dem-1067	243	17	transformata	transformata	PROPN
dem-1067	243	18	falkowa	falkowa	PROPN
dem-1067	243	19	.	.	PUNCT