id	sid	tid	token	lemma	pos
fbem-30087	1	1	frontiers	frontier	NOUN
fbem-30087	1	2	in	in	ADP
fbem-30087	1	3	business	business	NOUN
fbem-30087	1	4	,	,	PUNCT
fbem-30087	1	5	economics	economic	NOUN
fbem-30087	1	6	and	and	CCONJ
fbem-30087	1	7	management	management	NOUN
fbem-30087	1	8	issn	issn	PROPN
fbem-30087	1	9	:	:	PUNCT
fbem-30087	1	10	2766	2766	NUM
fbem-30087	1	11	-	-	PUNCT
fbem-30087	1	12	824x	824x	NUM
fbem-30087	1	13	|	|	ADJ
fbem-30087	1	14	vol	vol	NOUN
fbem-30087	1	15	.	.	PROPN
fbem-30087	1	16	18	18	NUM
fbem-30087	1	17	,	,	PUNCT
fbem-30087	1	18	no	no	INTJ
fbem-30087	1	19	.	.	NOUN
fbem-30087	1	20	3	3	NUM
fbem-30087	1	21	,	,	PUNCT
fbem-30087	1	22	2025	2025	NUM
fbem-30087	1	23	139	139	NUM
fbem-30087	1	24	predicting	predict	VERB
fbem-30087	1	25	stock	stock	NOUN
fbem-30087	1	26	returns	return	NOUN
fbem-30087	1	27	using	use	VERB
fbem-30087	1	28	linear	linear	PROPN
fbem-30087	1	29	regression	regression	NOUN
fbem-30087	1	30	houru	houru	NOUN
fbem-30087	1	31	lin	lin	PROPN
fbem-30087	1	32	xiamen	xiamen	PROPN
fbem-30087	1	33	university	university	PROPN
fbem-30087	1	34	tan	tan	PROPN
fbem-30087	1	35	kah	kah	PROPN
fbem-30087	1	36	kee	kee	PROPN
fbem-30087	1	37	college	college	PROPN
fbem-30087	1	38	,	,	PUNCT
fbem-30087	1	39	zhangzhou	zhangzhou	PROPN
fbem-30087	1	40	,	,	PUNCT
fbem-30087	1	41	363105	363105	NUM
fbem-30087	1	42	,	,	PUNCT
fbem-30087	1	43	china	china	PROPN
fbem-30087	1	44	abstract	abstract	NOUN
fbem-30087	1	45	:	:	PUNCT
fbem-30087	1	46	this	this	DET
fbem-30087	1	47	study	study	NOUN
fbem-30087	1	48	examines	examine	VERB
fbem-30087	1	49	the	the	DET
fbem-30087	1	50	use	use	NOUN
fbem-30087	1	51	of	of	ADP
fbem-30087	1	52	linear	linear	ADJ
fbem-30087	1	53	regression	regression	NOUN
fbem-30087	1	54	to	to	PART
fbem-30087	1	55	forecast	forecast	VERB
fbem-30087	1	56	stock	stock	NOUN
fbem-30087	1	57	returns	return	NOUN
fbem-30087	1	58	,	,	PUNCT
fbem-30087	1	59	with	with	ADP
fbem-30087	1	60	a	a	DET
fbem-30087	1	61	particular	particular	ADJ
fbem-30087	1	62	emphasis	emphasis	NOUN
fbem-30087	1	63	on	on	ADP
fbem-30087	1	64	apple	apple	PROPN
fbem-30087	1	65	inc	inc	PROPN
fbem-30087	1	66	.	.	PROPN
fbem-30087	1	67	(	(	PUNCT
fbem-30087	1	68	aapl	aapl	PROPN
fbem-30087	1	69	)	)	PUNCT
fbem-30087	1	70	and	and	CCONJ
fbem-30087	1	71	its	its	PRON
fbem-30087	1	72	correlation	correlation	NOUN
fbem-30087	1	73	with	with	ADP
fbem-30087	1	74	the	the	DET
fbem-30087	1	75	market	market	NOUN
fbem-30087	1	76	proxy	proxy	NOUN
fbem-30087	1	77	spy	spy	NOUN
fbem-30087	1	78	,	,	PUNCT
fbem-30087	1	79	which	which	PRON
fbem-30087	1	80	represents	represent	VERB
fbem-30087	1	81	the	the	DET
fbem-30087	1	82	s&p	s&p	PROPN
fbem-30087	1	83	500	500	NUM
fbem-30087	1	84	index	index	NOUN
fbem-30087	1	85	.	.	PUNCT
fbem-30087	2	1	the	the	DET
fbem-30087	2	2	paper	paper	NOUN
fbem-30087	2	3	outlines	outline	VERB
fbem-30087	2	4	the	the	DET
fbem-30087	2	5	methodology	methodology	NOUN
fbem-30087	2	6	for	for	ADP
fbem-30087	2	7	gathering	gathering	NOUN
fbem-30087	2	8	and	and	CCONJ
fbem-30087	2	9	processing	process	VERB
fbem-30087	2	10	historical	historical	ADJ
fbem-30087	2	11	stock	stock	NOUN
fbem-30087	2	12	price	price	NOUN
fbem-30087	2	13	data	datum	NOUN
fbem-30087	2	14	for	for	ADP
fbem-30087	2	15	both	both	DET
fbem-30087	2	16	aapl	aapl	PROPN
fbem-30087	2	17	and	and	CCONJ
fbem-30087	2	18	spy	spy	NOUN
fbem-30087	2	19	,	,	PUNCT
fbem-30087	2	20	calculating	calculate	VERB
fbem-30087	2	21	daily	daily	ADJ
fbem-30087	2	22	returns	return	NOUN
fbem-30087	2	23	,	,	PUNCT
fbem-30087	2	24	and	and	CCONJ
fbem-30087	2	25	applying	apply	VERB
fbem-30087	2	26	linear	linear	PROPN
fbem-30087	2	27	regression	regression	NOUN
fbem-30087	2	28	to	to	PART
fbem-30087	2	29	model	model	VERB
fbem-30087	2	30	the	the	DET
fbem-30087	2	31	relationship	relationship	NOUN
fbem-30087	2	32	between	between	ADP
fbem-30087	2	33	the	the	DET
fbem-30087	2	34	two	two	NUM
fbem-30087	2	35	variables	variable	NOUN
fbem-30087	2	36	.	.	PUNCT
fbem-30087	3	1	we	we	PRON
fbem-30087	3	2	detail	detail	VERB
fbem-30087	3	3	the	the	DET
fbem-30087	3	4	process	process	NOUN
fbem-30087	3	5	of	of	ADP
fbem-30087	3	6	training	train	VERB
fbem-30087	3	7	the	the	DET
fbem-30087	3	8	linear	linear	ADJ
fbem-30087	3	9	regression	regression	NOUN
fbem-30087	3	10	model	model	NOUN
fbem-30087	3	11	using	use	VERB
fbem-30087	3	12	a	a	DET
fbem-30087	3	13	training	training	NOUN
fbem-30087	3	14	dataset	dataset	NOUN
fbem-30087	3	15	,	,	PUNCT
fbem-30087	3	16	where	where	SCONJ
fbem-30087	3	17	we	we	PRON
fbem-30087	3	18	estimate	estimate	VERB
fbem-30087	3	19	key	key	ADJ
fbem-30087	3	20	parameters	parameter	NOUN
fbem-30087	3	21	,	,	PUNCT
fbem-30087	3	22	and	and	CCONJ
fbem-30087	3	23	assess	assess	VERB
fbem-30087	3	24	its	its	PRON
fbem-30087	3	25	predictive	predictive	ADJ
fbem-30087	3	26	performance	performance	NOUN
fbem-30087	3	27	on	on	ADP
fbem-30087	3	28	a	a	DET
fbem-30087	3	29	separate	separate	ADJ
fbem-30087	3	30	testing	testing	NOUN
fbem-30087	3	31	set	set	VERB
fbem-30087	3	32	.	.	PUNCT
fbem-30087	4	1	performance	performance	NOUN
fbem-30087	4	2	evaluation	evaluation	NOUN
fbem-30087	4	3	is	be	AUX
fbem-30087	4	4	conducted	conduct	VERB
fbem-30087	4	5	using	use	VERB
fbem-30087	4	6	key	key	ADJ
fbem-30087	4	7	metrics	metric	NOUN
fbem-30087	4	8	such	such	ADJ
fbem-30087	4	9	as	as	ADP
fbem-30087	4	10	r	r	NOUN
fbem-30087	4	11	-	-	PUNCT
fbem-30087	4	12	squared	square	VERB
fbem-30087	4	13	and	and	CCONJ
fbem-30087	4	14	mean	mean	VERB
fbem-30087	4	15	squared	square	VERB
fbem-30087	4	16	error	error	NOUN
fbem-30087	4	17	(	(	PUNCT
fbem-30087	4	18	mse	mse	NOUN
fbem-30087	4	19	)	)	PUNCT
fbem-30087	4	20	to	to	PART
fbem-30087	4	21	measure	measure	VERB
fbem-30087	4	22	the	the	DET
fbem-30087	4	23	model	model	NOUN
fbem-30087	4	24	’s	’s	PART
fbem-30087	4	25	accuracy	accuracy	NOUN
fbem-30087	4	26	in	in	ADP
fbem-30087	4	27	predicting	predict	VERB
fbem-30087	4	28	stock	stock	NOUN
fbem-30087	4	29	returns	return	NOUN
fbem-30087	4	30	.	.	PUNCT
fbem-30087	5	1	the	the	DET
fbem-30087	5	2	findings	finding	NOUN
fbem-30087	5	3	demonstrate	demonstrate	VERB
fbem-30087	5	4	the	the	DET
fbem-30087	5	5	utility	utility	NOUN
fbem-30087	5	6	of	of	ADP
fbem-30087	5	7	linear	linear	ADJ
fbem-30087	5	8	regression	regression	NOUN
fbem-30087	5	9	in	in	ADP
fbem-30087	5	10	financial	financial	ADJ
fbem-30087	5	11	forecast	forecast	NOUN
fbem-30087	5	12	ing	ing	ADJ
fbem-30087	5	13	,	,	PUNCT
fbem-30087	5	14	offering	offer	VERB
fbem-30087	5	15	insights	insight	NOUN
fbem-30087	5	16	into	into	ADP
fbem-30087	5	17	its	its	PRON
fbem-30087	5	18	effectiveness	effectiveness	NOUN
fbem-30087	5	19	as	as	ADV
fbem-30087	5	20	well	well	ADV
fbem-30087	5	21	as	as	ADP
fbem-30087	5	22	its	its	PRON
fbem-30087	5	23	limitations	limitation	NOUN
fbem-30087	5	24	,	,	PUNCT
fbem-30087	5	25	particularly	particularly	ADV
fbem-30087	5	26	in	in	ADP
fbem-30087	5	27	capturing	capture	VERB
fbem-30087	5	28	complex	complex	ADJ
fbem-30087	5	29	,	,	PUNCT
fbem-30087	5	30	non	non	ADJ
fbem-30087	5	31	-	-	ADJ
fbem-30087	5	32	linear	linear	ADJ
fbem-30087	5	33	market	market	NOUN
fbem-30087	5	34	behaviors	behavior	NOUN
fbem-30087	5	35	.	.	PUNCT
fbem-30087	6	1	furthermore	furthermore	ADV
fbem-30087	6	2	,	,	PUNCT
fbem-30087	6	3	the	the	DET
fbem-30087	6	4	study	study	NOUN
fbem-30087	6	5	touches	touch	VERB
fbem-30087	6	6	upon	upon	SCONJ
fbem-30087	6	7	the	the	DET
fbem-30087	6	8	increasing	increase	VERB
fbem-30087	6	9	role	role	NOUN
fbem-30087	6	10	of	of	ADP
fbem-30087	6	11	machine	machine	NOUN
fbem-30087	6	12	learning	learn	VERB
fbem-30087	6	13	in	in	ADP
fbem-30087	6	14	finance	finance	NOUN
fbem-30087	6	15	,	,	PUNCT
fbem-30087	6	16	highlighting	highlight	VERB
fbem-30087	6	17	its	its	PRON
fbem-30087	6	18	potential	potential	NOUN
fbem-30087	6	19	to	to	ADP
fbem-30087	6	20	o	o	NOUN
fbem-30087	6	21	ffer	ffer	VERB
fbem-30087	6	22	more	more	ADV
fbem-30087	6	23	sophisticated	sophisticated	ADJ
fbem-30087	6	24	models	model	NOUN
fbem-30087	6	25	for	for	ADP
fbem-30087	6	26	stock	stock	NOUN
fbem-30087	6	27	return	return	NOUN
fbem-30087	6	28	prediction	prediction	NOUN
fbem-30087	6	29	and	and	CCONJ
fbem-30087	6	30	other	other	ADJ
fbem-30087	6	31	financial	financial	ADJ
fbem-30087	6	32	applications	application	NOUN
fbem-30087	6	33	.	.	PUNCT
fbem-30087	7	1	keywords	keyword	NOUN
fbem-30087	7	2	:	:	PUNCT
fbem-30087	7	3	linear	linear	ADJ
fbem-30087	7	4	regression	regression	NOUN
fbem-30087	7	5	,	,	PUNCT
fbem-30087	7	6	finance	finance	NOUN
fbem-30087	7	7	,	,	PUNCT
fbem-30087	7	8	machine	machine	NOUN
fbem-30087	7	9	learning	learning	NOUN
fbem-30087	7	10	,	,	PUNCT
fbem-30087	7	11	market	market	NOUN
fbem-30087	7	12	proxy	proxy	NOUN
fbem-30087	7	13	,	,	PUNCT
fbem-30087	7	14	apple	apple	PROPN
fbem-30087	7	15	inc	inc	PROPN
fbem-30087	7	16	.	.	PROPN
fbem-30087	7	17	(	(	PUNCT
fbem-30087	7	18	aapl	aapl	PROPN
fbem-30087	7	19	)	)	PUNCT
fbem-30087	7	20	.	.	PUNCT
fbem-30087	8	1	1	1	X
fbem-30087	8	2	.	.	X
fbem-30087	8	3	introduction	introduction	NOUN
fbem-30087	8	4	linear	linear	PROPN
fbem-30087	8	5	regression	regression	NOUN
fbem-30087	8	6	is	be	AUX
fbem-30087	8	7	a	a	DET
fbem-30087	8	8	widely	widely	ADV
fbem-30087	8	9	used	use	VERB
fbem-30087	8	10	statistical	statistical	ADJ
fbem-30087	8	11	technique	technique	NOUN
fbem-30087	8	12	that	that	PRON
fbem-30087	8	13	models	model	VERB
fbem-30087	8	14	the	the	DET
fbem-30087	8	15	relationship	relationship	NOUN
fbem-30087	8	16	between	between	ADP
fbem-30087	8	17	a	a	DET
fbem-30087	8	18	dependent	dependent	ADJ
fbem-30087	8	19	variable	variable	NOUN
fbem-30087	8	20	and	and	CCONJ
fbem-30087	8	21	one	one	NUM
fbem-30087	8	22	or	or	CCONJ
fbem-30087	8	23	more	more	ADV
fbem-30087	8	24	independent	independent	ADJ
fbem-30087	8	25	variables	variable	NOUN
fbem-30087	8	26	.	.	PUNCT
fbem-30087	9	1	its	its	PRON
fbem-30087	9	2	simplicity	simplicity	NOUN
fbem-30087	9	3	and	and	CCONJ
fbem-30087	9	4	interpretability	interpretability	NOUN
fbem-30087	9	5	make	make	VERB
fbem-30087	9	6	it	it	PRON
fbem-30087	9	7	particularly	particularly	ADV
fbem-30087	9	8	useful	useful	ADJ
fbem-30087	9	9	for	for	ADP
fbem-30087	9	10	understanding	understand	VERB
fbem-30087	9	11	how	how	SCONJ
fbem-30087	9	12	changes	change	NOUN
fbem-30087	9	13	in	in	ADP
fbem-30087	9	14	one	one	NUM
fbem-30087	9	15	factor	factor	NOUN
fbem-30087	9	16	can	can	AUX
fbem-30087	9	17	influence	influence	VERB
fbem-30087	9	18	another	another	PRON
fbem-30087	9	19	.	.	PUNCT
fbem-30087	10	1	in	in	ADP
fbem-30087	10	2	finance	finance	NOUN
fbem-30087	10	3	,	,	PUNCT
fbem-30087	10	4	linear	linear	ADJ
fbem-30087	10	5	regression	regression	NOUN
fbem-30087	10	6	is	be	AUX
fbem-30087	10	7	often	often	ADV
fbem-30087	10	8	applied	apply	VERB
fbem-30087	10	9	to	to	PART
fbem-30087	10	10	predict	predict	VERB
fbem-30087	10	11	stock	stock	NOUN
fbem-30087	10	12	returns	return	NOUN
fbem-30087	10	13	,	,	PUNCT
fbem-30087	10	14	leveraging	leverage	VERB
fbem-30087	10	15	market	market	NOUN
fbem-30087	10	16	indicators	indicator	NOUN
fbem-30087	10	17	or	or	CCONJ
fbem-30087	10	18	economic	economic	ADJ
fbem-30087	10	19	variables	variable	NOUN
fbem-30087	10	20	as	as	ADP
fbem-30087	10	21	predictors	predictor	NOUN
fbem-30087	10	22	.	.	PUNCT
fbem-30087	11	1	by	by	ADP
fbem-30087	11	2	analyzing	analyze	VERB
fbem-30087	11	3	the	the	DET
fbem-30087	11	4	relationship	relationship	NOUN
fbem-30087	11	5	between	between	ADP
fbem-30087	11	6	a	a	DET
fbem-30087	11	7	stock	stock	NOUN
fbem-30087	11	8	's	's	PART
fbem-30087	11	9	performance	performance	NOUN
fbem-30087	11	10	and	and	CCONJ
fbem-30087	11	11	broader	broad	ADJ
fbem-30087	11	12	market	market	NOUN
fbem-30087	11	13	movements	movement	NOUN
fbem-30087	11	14	,	,	PUNCT
fbem-30087	11	15	linear	linear	ADJ
fbem-30087	11	16	regression	regression	NOUN
fbem-30087	11	17	helps	help	VERB
fbem-30087	11	18	financial	financial	ADJ
fbem-30087	11	19	analysts	analyst	NOUN
fbem-30087	11	20	and	and	CCONJ
fbem-30087	11	21	investors	investor	NOUN
fbem-30087	11	22	make	make	VERB
fbem-30087	11	23	informed	informed	ADJ
fbem-30087	11	24	decisions	decision	NOUN
fbem-30087	11	25	based	base	VERB
fbem-30087	11	26	on	on	ADP
fbem-30087	11	27	historical	historical	ADJ
fbem-30087	11	28	data	datum	NOUN
fbem-30087	11	29	[	[	X
fbem-30087	11	30	1	1	NUM
fbem-30087	11	31	]	]	PUNCT
fbem-30087	11	32	.	.	PUNCT
fbem-30087	12	1	in	in	ADP
fbem-30087	12	2	the	the	DET
fbem-30087	12	3	financial	financial	ADJ
fbem-30087	12	4	industry	industry	NOUN
fbem-30087	12	5	,	,	PUNCT
fbem-30087	12	6	predicting	predict	VERB
fbem-30087	12	7	stock	stock	NOUN
fbem-30087	12	8	returns	return	NOUN
fbem-30087	12	9	is	be	AUX
fbem-30087	12	10	of	of	ADP
fbem-30087	12	11	paramount	paramount	ADJ
fbem-30087	12	12	interest	interest	NOUN
fbem-30087	12	13	,	,	PUNCT
fbem-30087	12	14	especially	especially	ADV
fbem-30087	12	15	when	when	SCONJ
fbem-30087	12	16	assessing	assess	VERB
fbem-30087	12	17	how	how	SCONJ
fbem-30087	12	18	market	market	NOUN
fbem-30087	12	19	conditions	condition	NOUN
fbem-30087	12	20	influence	influence	VERB
fbem-30087	12	21	individual	individual	ADJ
fbem-30087	12	22	stocks	stock	NOUN
fbem-30087	12	23	.	.	PUNCT
fbem-30087	13	1	linear	linear	ADJ
fbem-30087	13	2	regression	regression	NOUN
fbem-30087	13	3	is	be	AUX
fbem-30087	13	4	often	often	ADV
fbem-30087	13	5	used	use	VERB
fbem-30087	13	6	to	to	PART
fbem-30087	13	7	model	model	VERB
fbem-30087	13	8	stock	stock	NOUN
fbem-30087	13	9	returns	return	NOUN
fbem-30087	13	10	in	in	ADP
fbem-30087	13	11	relation	relation	NOUN
fbem-30087	13	12	to	to	ADP
fbem-30087	13	13	market	market	NOUN
fbem-30087	13	14	indices	index	NOUN
fbem-30087	13	15	like	like	ADP
fbem-30087	13	16	the	the	DET
fbem-30087	13	17	s&p	s&p	PROPN
fbem-30087	13	18	500	500	NUM
fbem-30087	13	19	,	,	PUNCT
fbem-30087	13	20	which	which	PRON
fbem-30087	13	21	represent	represent	VERB
fbem-30087	13	22	the	the	DET
fbem-30087	13	23	overall	overall	ADJ
fbem-30087	13	24	market	market	NOUN
fbem-30087	13	25	performance	performance	NOUN
fbem-30087	13	26	.	.	PUNCT
fbem-30087	14	1	by	by	ADP
fbem-30087	14	2	utilizing	utilize	VERB
fbem-30087	14	3	historical	historical	ADJ
fbem-30087	14	4	stock	stock	NOUN
fbem-30087	14	5	prices	price	NOUN
fbem-30087	14	6	and	and	CCONJ
fbem-30087	14	7	market	market	NOUN
fbem-30087	14	8	returns	return	NOUN
fbem-30087	14	9	,	,	PUNCT
fbem-30087	14	10	linear	linear	ADJ
fbem-30087	14	11	regression	regression	NOUN
fbem-30087	14	12	creates	create	VERB
fbem-30087	14	13	a	a	DET
fbem-30087	14	14	predictive	predictive	ADJ
fbem-30087	14	15	model	model	NOUN
fbem-30087	14	16	for	for	ADP
fbem-30087	14	17	estimating	estimate	VERB
fbem-30087	14	18	future	future	ADJ
fbem-30087	14	19	stock	stock	NOUN
fbem-30087	14	20	performance	performance	NOUN
fbem-30087	14	21	based	base	VERB
fbem-30087	14	22	on	on	ADP
fbem-30087	14	23	past	past	ADJ
fbem-30087	14	24	trends	trend	NOUN
fbem-30087	14	25	.	.	PUNCT
fbem-30087	15	1	this	this	DET
fbem-30087	15	2	approach	approach	NOUN
fbem-30087	15	3	is	be	AUX
fbem-30087	15	4	particularly	particularly	ADV
fbem-30087	15	5	effective	effective	ADJ
fbem-30087	15	6	for	for	ADP
fbem-30087	15	7	high	high	ADJ
fbem-30087	15	8	-	-	PUNCT
fbem-30087	15	9	profile	profile	NOUN
fbem-30087	15	10	companies	company	NOUN
fbem-30087	15	11	like	like	ADP
fbem-30087	15	12	apple	apple	PROPN
fbem-30087	15	13	inc	inc	PROPN
fbem-30087	15	14	.	.	PROPN
fbem-30087	15	15	,	,	PUNCT
fbem-30087	15	16	whose	whose	DET
fbem-30087	15	17	stock	stock	NOUN
fbem-30087	15	18	returns	return	NOUN
fbem-30087	15	19	often	often	ADV
fbem-30087	15	20	reflect	reflect	VERB
fbem-30087	15	21	broader	broad	ADJ
fbem-30087	15	22	market	market	NOUN
fbem-30087	15	23	dynamics	dynamic	NOUN
fbem-30087	15	24	[	[	X
fbem-30087	15	25	2	2	NUM
fbem-30087	15	26	]	]	PUNCT
fbem-30087	15	27	.	.	PUNCT
fbem-30087	16	1	apple	apple	PROPN
fbem-30087	16	2	inc	inc	PROPN
fbem-30087	16	3	.	.	PROPN
fbem-30087	16	4	is	be	AUX
fbem-30087	16	5	a	a	DET
fbem-30087	16	6	significant	significant	ADJ
fbem-30087	16	7	player	player	NOUN
fbem-30087	16	8	in	in	ADP
fbem-30087	16	9	the	the	DET
fbem-30087	16	10	global	global	ADJ
fbem-30087	16	11	economy	economy	NOUN
fbem-30087	16	12	,	,	PUNCT
fbem-30087	16	13	making	make	VERB
fbem-30087	16	14	it	it	PRON
fbem-30087	16	15	an	an	DET
fbem-30087	16	16	ideal	ideal	ADJ
fbem-30087	16	17	candidate	candidate	NOUN
fbem-30087	16	18	for	for	ADP
fbem-30087	16	19	studying	study	VERB
fbem-30087	16	20	stock	stock	NOUN
fbem-30087	16	21	return	return	NOUN
fbem-30087	16	22	predictions	prediction	NOUN
fbem-30087	16	23	,	,	PUNCT
fbem-30087	16	24	especially	especially	ADV
fbem-30087	16	25	in	in	ADP
fbem-30087	16	26	the	the	DET
fbem-30087	16	27	context	context	NOUN
fbem-30087	16	28	of	of	ADP
fbem-30087	16	29	its	its	PRON
fbem-30087	16	30	relationship	relationship	NOUN
fbem-30087	16	31	with	with	ADP
fbem-30087	16	32	market	market	NOUN
fbem-30087	16	33	returns	return	NOUN
fbem-30087	16	34	.	.	PUNCT
fbem-30087	17	1	the	the	DET
fbem-30087	17	2	purpose	purpose	NOUN
fbem-30087	17	3	of	of	ADP
fbem-30087	17	4	this	this	DET
fbem-30087	17	5	paper	paper	NOUN
fbem-30087	17	6	is	be	AUX
fbem-30087	17	7	to	to	PART
fbem-30087	17	8	apply	apply	VERB
fbem-30087	17	9	linear	linear	ADJ
fbem-30087	17	10	regression	regression	NOUN
fbem-30087	17	11	to	to	PART
fbem-30087	17	12	forecast	forecast	VERB
fbem-30087	17	13	apple	apple	PROPN
fbem-30087	17	14	inc	inc	PROPN
fbem-30087	17	15	.	.	PROPN
fbem-30087	17	16	's	's	PART
fbem-30087	17	17	stock	stock	NOUN
fbem-30087	17	18	returns	return	NOUN
fbem-30087	17	19	,	,	PUNCT
fbem-30087	17	20	using	use	VERB
fbem-30087	17	21	historical	historical	ADJ
fbem-30087	17	22	data	datum	NOUN
fbem-30087	17	23	and	and	CCONJ
fbem-30087	17	24	market	market	NOUN
fbem-30087	17	25	returns	return	NOUN
fbem-30087	17	26	,	,	PUNCT
fbem-30087	17	27	specifically	specifically	ADV
fbem-30087	17	28	from	from	ADP
fbem-30087	17	29	the	the	DET
fbem-30087	17	30	spy	spy	NOUN
fbem-30087	17	31	etf	etf	NOUN
fbem-30087	17	32	,	,	PUNCT
fbem-30087	17	33	as	as	ADP
fbem-30087	17	34	predictors	predictor	NOUN
fbem-30087	17	35	.	.	PUNCT
fbem-30087	18	1	although	although	SCONJ
fbem-30087	18	2	linear	linear	ADJ
fbem-30087	18	3	regression	regression	NOUN
fbem-30087	18	4	can	can	AUX
fbem-30087	18	5	be	be	AUX
fbem-30087	18	6	useful	useful	ADJ
fbem-30087	18	7	in	in	ADP
fbem-30087	18	8	stock	stock	NOUN
fbem-30087	18	9	return	return	NOUN
fbem-30087	18	10	prediction	prediction	NOUN
fbem-30087	18	11	,	,	PUNCT
fbem-30087	18	12	it	it	PRON
fbem-30087	18	13	has	have	VERB
fbem-30087	18	14	certain	certain	ADJ
fbem-30087	18	15	limitations	limitation	NOUN
fbem-30087	18	16	.	.	PUNCT
fbem-30087	19	1	the	the	DET
fbem-30087	19	2	model	model	NOUN
fbem-30087	19	3	assumes	assume	VERB
fbem-30087	19	4	a	a	DET
fbem-30087	19	5	linear	linear	ADJ
fbem-30087	19	6	relationship	relationship	NOUN
fbem-30087	19	7	between	between	ADP
fbem-30087	19	8	the	the	DET
fbem-30087	19	9	dependent	dependent	ADJ
fbem-30087	19	10	and	and	CCONJ
fbem-30087	19	11	independent	independent	ADJ
fbem-30087	19	12	variables	variable	NOUN
fbem-30087	19	13	,	,	PUNCT
fbem-30087	19	14	which	which	PRON
fbem-30087	19	15	may	may	AUX
fbem-30087	19	16	not	not	PART
fbem-30087	19	17	always	always	ADV
fbem-30087	19	18	reflect	reflect	VERB
fbem-30087	19	19	the	the	DET
fbem-30087	19	20	complexities	complexity	NOUN
fbem-30087	19	21	of	of	ADP
fbem-30087	19	22	financial	financial	ADJ
fbem-30087	19	23	markets	market	NOUN
fbem-30087	19	24	.	.	PUNCT
fbem-30087	20	1	stock	stock	NOUN
fbem-30087	20	2	returns	return	NOUN
fbem-30087	20	3	can	can	AUX
fbem-30087	20	4	be	be	AUX
fbem-30087	20	5	affected	affect	VERB
fbem-30087	20	6	by	by	ADP
fbem-30087	20	7	external	external	ADJ
fbem-30087	20	8	factors	factor	NOUN
fbem-30087	20	9	like	like	ADP
fbem-30087	20	10	investor	investor	NOUN
fbem-30087	20	11	sentiment	sentiment	NOUN
fbem-30087	20	12	,	,	PUNCT
fbem-30087	20	13	geopolitical	geopolitical	ADJ
fbem-30087	20	14	events	event	NOUN
fbem-30087	20	15	,	,	PUNCT
fbem-30087	20	16	and	and	CCONJ
fbem-30087	20	17	company	company	NOUN
fbem-30087	20	18	-	-	PUNCT
fbem-30087	20	19	specific	specific	ADJ
fbem-30087	20	20	news	news	NOUN
fbem-30087	20	21	—	—	PUNCT
fbem-30087	20	22	factors	factor	NOUN
fbem-30087	20	23	that	that	PRON
fbem-30087	20	24	linear	linear	ADJ
fbem-30087	20	25	regression	regression	NOUN
fbem-30087	20	26	may	may	AUX
fbem-30087	20	27	not	not	PART
fbem-30087	20	28	fully	fully	ADV
fbem-30087	20	29	capture	capture	VERB
fbem-30087	20	30	[	[	X
fbem-30087	20	31	3	3	NUM
fbem-30087	20	32	]	]	PUNCT
fbem-30087	20	33	.	.	PUNCT
fbem-30087	21	1	despite	despite	SCONJ
fbem-30087	21	2	these	these	DET
fbem-30087	21	3	limitations	limitation	NOUN
fbem-30087	21	4	,	,	PUNCT
fbem-30087	21	5	linear	linear	ADJ
fbem-30087	21	6	regression	regression	NOUN
fbem-30087	21	7	remains	remain	VERB
fbem-30087	21	8	a	a	DET
fbem-30087	21	9	widely	widely	ADV
fbem-30087	21	10	applied	apply	VERB
fbem-30087	21	11	method	method	NOUN
fbem-30087	21	12	due	due	ADP
fbem-30087	21	13	to	to	ADP
fbem-30087	21	14	its	its	PRON
fbem-30087	21	15	simplicity	simplicity	NOUN
fbem-30087	21	16	and	and	CCONJ
fbem-30087	21	17	ease	ease	NOUN
fbem-30087	21	18	of	of	ADP
fbem-30087	21	19	interpretation	interpretation	NOUN
fbem-30087	21	20	in	in	ADP
fbem-30087	21	21	uncovering	uncover	VERB
fbem-30087	21	22	general	general	ADJ
fbem-30087	21	23	market	market	NOUN
fbem-30087	21	24	trends	trend	NOUN
fbem-30087	21	25	.	.	PUNCT
fbem-30087	22	1	this	this	DET
fbem-30087	22	2	paper	paper	NOUN
fbem-30087	22	3	will	will	AUX
fbem-30087	22	4	examine	examine	VERB
fbem-30087	22	5	how	how	SCONJ
fbem-30087	22	6	well	well	ADV
fbem-30087	22	7	linear	linear	ADJ
fbem-30087	22	8	regression	regression	NOUN
fbem-30087	22	9	predicts	predict	VERB
fbem-30087	22	10	stock	stock	NOUN
fbem-30087	22	11	returns	return	NOUN
fbem-30087	22	12	for	for	ADP
fbem-30087	22	13	apple	apple	PROPN
fbem-30087	22	14	inc	inc	PROPN
fbem-30087	22	15	.	.	PROPN
fbem-30087	22	16	,	,	PUNCT
fbem-30087	22	17	offering	offer	VERB
fbem-30087	22	18	valuable	valuable	ADJ
fbem-30087	22	19	insights	insight	NOUN
fbem-30087	22	20	into	into	ADP
fbem-30087	22	21	both	both	PRON
fbem-30087	22	22	its	its	PRON
fbem-30087	22	23	strengths	strength	NOUN
fbem-30087	22	24	and	and	CCONJ
fbem-30087	22	25	its	its	PRON
fbem-30087	22	26	limitations	limitation	NOUN
fbem-30087	22	27	.	.	PUNCT
fbem-30087	23	1	while	while	SCONJ
fbem-30087	23	2	linear	linear	ADJ
fbem-30087	23	3	regression	regression	NOUN
fbem-30087	23	4	provides	provide	VERB
fbem-30087	23	5	useful	useful	ADJ
fbem-30087	23	6	predictions	prediction	NOUN
fbem-30087	23	7	in	in	ADP
fbem-30087	23	8	certain	certain	ADJ
fbem-30087	23	9	scenarios	scenario	NOUN
fbem-30087	23	10	,	,	PUNCT
fbem-30087	23	11	more	more	ADV
fbem-30087	23	12	advanced	advanced	ADJ
fbem-30087	23	13	techniques	technique	NOUN
fbem-30087	23	14	,	,	PUNCT
fbem-30087	23	15	such	such	ADJ
fbem-30087	23	16	as	as	ADP
fbem-30087	23	17	machine	machine	NOUN
fbem-30087	23	18	learning	learning	NOUN
fbem-30087	23	19	models	model	NOUN
fbem-30087	23	20	,	,	PUNCT
fbem-30087	23	21	might	might	AUX
fbem-30087	23	22	be	be	AUX
fbem-30087	23	23	needed	need	VERB
fbem-30087	23	24	to	to	PART
fbem-30087	23	25	better	well	ADV
fbem-30087	23	26	capture	capture	VERB
fbem-30087	23	27	non	non	ADJ
fbem-30087	23	28	-	-	ADJ
fbem-30087	23	29	linear	linear	ADJ
fbem-30087	23	30	relationships	relationship	NOUN
fbem-30087	23	31	and	and	CCONJ
fbem-30087	23	32	account	account	NOUN
fbem-30087	23	33	for	for	ADP
fbem-30087	23	34	the	the	DET
fbem-30087	23	35	dynamic	dynamic	ADJ
fbem-30087	23	36	nature	nature	NOUN
fbem-30087	23	37	of	of	ADP
fbem-30087	23	38	stock	stock	NOUN
fbem-30087	23	39	returns	return	NOUN
fbem-30087	23	40	[	[	X
fbem-30087	23	41	4	4	NUM
fbem-30087	23	42	]	]	PUNCT
fbem-30087	23	43	.	.	PUNCT
fbem-30087	24	1	these	these	DET
fbem-30087	24	2	methods	method	NOUN
fbem-30087	24	3	can	can	AUX
fbem-30087	24	4	complement	complement	VERB
fbem-30087	24	5	linear	linear	ADJ
fbem-30087	24	6	regression	regression	NOUN
fbem-30087	24	7	,	,	PUNCT
fbem-30087	24	8	providing	provide	VERB
fbem-30087	24	9	a	a	DET
fbem-30087	24	10	more	more	ADV
fbem-30087	24	11	comprehensive	comprehensive	ADJ
fbem-30087	24	12	analysis	analysis	NOUN
fbem-30087	24	13	of	of	ADP
fbem-30087	24	14	stock	stock	NOUN
fbem-30087	24	15	performance	performance	NOUN
fbem-30087	24	16	.	.	PUNCT
fbem-30087	25	1	this	this	DET
fbem-30087	25	2	paper	paper	NOUN
fbem-30087	25	3	explores	explore	VERB
fbem-30087	25	4	the	the	DET
fbem-30087	25	5	use	use	NOUN
fbem-30087	25	6	of	of	ADP
fbem-30087	25	7	linear	linear	ADJ
fbem-30087	25	8	regression	regression	NOUN
fbem-30087	25	9	to	to	PART
fbem-30087	25	10	predict	predict	VERB
fbem-30087	25	11	stock	stock	NOUN
fbem-30087	25	12	returns	return	NOUN
fbem-30087	25	13	for	for	ADP
fbem-30087	25	14	apple	apple	PROPN
fbem-30087	25	15	inc	inc	PROPN
fbem-30087	25	16	.	.	PROPN
fbem-30087	25	17	,	,	PUNCT
fbem-30087	25	18	using	use	VERB
fbem-30087	25	19	historical	historical	ADJ
fbem-30087	25	20	stock	stock	NOUN
fbem-30087	25	21	data	datum	NOUN
fbem-30087	25	22	and	and	CCONJ
fbem-30087	25	23	market	market	NOUN
fbem-30087	25	24	returns	return	NOUN
fbem-30087	25	25	as	as	ADP
fbem-30087	25	26	key	key	ADJ
fbem-30087	25	27	predictors	predictor	NOUN
fbem-30087	25	28	.	.	PUNCT
fbem-30087	26	1	while	while	SCONJ
fbem-30087	26	2	linear	linear	ADJ
fbem-30087	26	3	regression	regression	NOUN
fbem-30087	26	4	is	be	AUX
fbem-30087	26	5	an	an	DET
fbem-30087	26	6	effective	effective	ADJ
fbem-30087	26	7	tool	tool	NOUN
fbem-30087	26	8	,	,	PUNCT
fbem-30087	26	9	understanding	understand	VERB
fbem-30087	26	10	its	its	PRON
fbem-30087	26	11	limitations	limitation	NOUN
fbem-30087	26	12	and	and	CCONJ
fbem-30087	26	13	considering	consider	VERB
fbem-30087	26	14	advanced	advanced	ADJ
fbem-30087	26	15	models	model	NOUN
fbem-30087	26	16	is	be	AUX
fbem-30087	26	17	essential	essential	ADJ
fbem-30087	26	18	for	for	ADP
fbem-30087	26	19	improving	improve	VERB
fbem-30087	26	20	stock	stock	NOUN
fbem-30087	26	21	return	return	NOUN
fbem-30087	26	22	forecasting	forecasting	NOUN
fbem-30087	26	23	.	.	PUNCT
fbem-30087	27	1	2	2	X
fbem-30087	27	2	.	.	X
fbem-30087	27	3	specific	specific	ADJ
fbem-30087	27	4	method	method	NOUN
fbem-30087	27	5	2.1	2.1	NUM
fbem-30087	27	6	.	.	PUNCT
fbem-30087	28	1	data	datum	NOUN
fbem-30087	28	2	collection	collection	NOUN
fbem-30087	28	3	to	to	PART
fbem-30087	28	4	predict	predict	VERB
fbem-30087	28	5	the	the	DET
fbem-30087	28	6	stock	stock	NOUN
fbem-30087	28	7	returns	return	NOUN
fbem-30087	28	8	of	of	ADP
fbem-30087	28	9	apple	apple	PROPN
fbem-30087	28	10	inc	inc	PROPN
fbem-30087	28	11	.	.	PROPN
fbem-30087	28	12	(	(	PUNCT
fbem-30087	28	13	aapl	aapl	PROPN
fbem-30087	28	14	)	)	PUNCT
fbem-30087	28	15	,	,	PUNCT
fbem-30087	28	16	historical	historical	ADJ
fbem-30087	28	17	data	datum	NOUN
fbem-30087	28	18	was	be	AUX
fbem-30087	28	19	gathered	gather	VERB
fbem-30087	28	20	for	for	ADP
fbem-30087	28	21	both	both	DET
fbem-30087	28	22	apple	apple	NOUN
fbem-30087	28	23	’s	’s	PART
fbem-30087	28	24	stock	stock	NOUN
fbem-30087	28	25	and	and	CCONJ
fbem-30087	28	26	the	the	DET
fbem-30087	28	27	market	market	NOUN
fbem-30087	28	28	proxy	proxy	NOUN
fbem-30087	28	29	spy	spy	NOUN
fbem-30087	28	30	,	,	PUNCT
fbem-30087	28	31	which	which	PRON
fbem-30087	28	32	tracks	track	VERB
fbem-30087	28	33	the	the	DET
fbem-30087	28	34	performance	performance	NOUN
fbem-30087	28	35	of	of	ADP
fbem-30087	28	36	the	the	DET
fbem-30087	28	37	s&p	s&p	PROPN
fbem-30087	28	38	500	500	NUM
fbem-30087	28	39	.	.	PUNCT
fbem-30087	29	1	the	the	DET
fbem-30087	29	2	dataset	dataset	NOUN
fbem-30087	29	3	included	include	VERB
fbem-30087	29	4	the	the	DET
fbem-30087	29	5	adjusted	adjust	VERB
fbem-30087	29	6	closing	closing	NOUN
fbem-30087	29	7	prices	price	NOUN
fbem-30087	29	8	of	of	ADP
fbem-30087	29	9	aapl	aapl	PROPN
fbem-30087	29	10	and	and	CCONJ
fbem-30087	29	11	spy	spy	NOUN
fbem-30087	29	12	,	,	PUNCT
fbem-30087	29	13	as	as	SCONJ
fbem-30087	29	14	these	these	DET
fbem-30087	29	15	prices	price	NOUN
fbem-30087	29	16	account	account	VERB
fbem-30087	29	17	for	for	ADP
fbem-30087	29	18	corporate	corporate	ADJ
fbem-30087	29	19	actions	action	NOUN
fbem-30087	29	20	like	like	ADP
fbem-30087	29	21	stock	stock	NOUN
fbem-30087	29	22	splits	split	NOUN
fbem-30087	29	23	and	and	CCONJ
fbem-30087	29	24	dividend	dividend	NOUN
fbem-30087	29	25	payments	payment	NOUN
fbem-30087	29	26	,	,	PUNCT
fbem-30087	29	27	providing	provide	VERB
fbem-30087	29	28	a	a	DET
fbem-30087	29	29	more	more	ADV
fbem-30087	29	30	accurate	accurate	ADJ
fbem-30087	29	31	reflection	reflection	NOUN
fbem-30087	29	32	of	of	ADP
fbem-30087	29	33	stock	stock	NOUN
fbem-30087	29	34	value	value	NOUN
fbem-30087	29	35	.	.	PUNCT
fbem-30087	30	1	from	from	ADP
fbem-30087	30	2	these	these	DET
fbem-30087	30	3	adjusted	adjust	VERB
fbem-30087	30	4	closing	closing	NOUN
fbem-30087	30	5	prices	price	NOUN
fbem-30087	30	6	,	,	PUNCT
fbem-30087	30	7	daily	daily	ADJ
fbem-30087	30	8	returns	return	NOUN
fbem-30087	30	9	were	be	AUX
fbem-30087	30	10	calculated	calculate	VERB
fbem-30087	30	11	using	use	VERB
fbem-30087	30	12	the	the	DET
fbem-30087	30	13	following	follow	VERB
fbem-30087	30	14	formula	formula	NOUN
fbem-30087	30	15	:	:	PUNCT
fbem-30087	30	16	𝑅𝑒𝑡𝑢𝑟𝑛𝑡	𝑅𝑒𝑡𝑢𝑟𝑛𝑡	PROPN
fbem-30087	30	17	=	=	PUNCT
fbem-30087	30	18	𝑃𝑟𝑖𝑐𝑒𝑡−1	𝑃𝑟𝑖𝑐𝑒𝑡−1	PUNCT
fbem-30087	31	1	𝑃𝑟𝑖𝑐𝑒𝑡	𝑃𝑟𝑖𝑐𝑒𝑡	PROPN
fbem-30087	31	2	−	−	PROPN
fbem-30087	31	3	𝑃𝑟𝑖𝑐𝑒𝑡−1	𝑃𝑟𝑖𝑐𝑒𝑡−1	PUNCT
fbem-30087	31	4	where	where	SCONJ
fbem-30087	31	5	pricet	pricet	NOUN
fbem-30087	31	6	and	and	CCONJ
fbem-30087	31	7	pricet-1	pricet-1	NUM
fbem-30087	31	8	are	be	AUX
fbem-30087	31	9	the	the	DET
fbem-30087	31	10	adjusted	adjust	VERB
fbem-30087	31	11	closing	closing	NOUN
fbem-30087	31	12	prices	price	NOUN
fbem-30087	31	13	for	for	ADP
fbem-30087	31	14	day	day	NOUN
fbem-30087	31	15	t	t	PROPN
fbem-30087	31	16	and	and	CCONJ
fbem-30087	31	17	the	the	DET
fbem-30087	31	18	previous	previous	ADJ
fbem-30087	31	19	day	day	NOUN
fbem-30087	31	20	,	,	PUNCT
fbem-30087	31	21	respectively	respectively	ADV
fbem-30087	31	22	.	.	PUNCT
fbem-30087	32	1	to	to	PART
fbem-30087	32	2	ensure	ensure	VERB
fbem-30087	32	3	the	the	DET
fbem-30087	32	4	model	model	NOUN
fbem-30087	32	5	's	's	PART
fbem-30087	32	6	robustness	robustness	NOUN
fbem-30087	32	7	and	and	CCONJ
fbem-30087	32	8	prevent	prevent	VERB
fbem-30087	32	9	overfitting	overfitting	NOUN
fbem-30087	32	10	,	,	PUNCT
fbem-30087	32	11	the	the	DET
fbem-30087	32	12	dataset	dataset	NOUN
fbem-30087	32	13	was	be	AUX
fbem-30087	32	14	split	split	VERB
fbem-30087	32	15	into	into	ADP
fbem-30087	32	16	two	two	NUM
fbem-30087	32	17	periods	period	NOUN
fbem-30087	32	18	:	:	PUNCT
fbem-30087	32	19	a	a	DET
fbem-30087	32	20	training	training	NOUN
fbem-30087	32	21	period	period	NOUN
fbem-30087	32	22	for	for	ADP
fbem-30087	32	23	model	model	NOUN
fbem-30087	32	24	development	development	NOUN
fbem-30087	32	25	and	and	CCONJ
fbem-30087	32	26	a	a	DET
fbem-30087	32	27	testing	testing	NOUN
fbem-30087	32	28	period	period	NOUN
fbem-30087	32	29	for	for	ADP
fbem-30087	32	30	model	model	NOUN
fbem-30087	32	31	evaluation	evaluation	NOUN
fbem-30087	32	32	.	.	PUNCT
fbem-30087	33	1	the	the	DET
fbem-30087	33	2	training	training	NOUN
fbem-30087	33	3	set	set	NOUN
fbem-30087	33	4	was	be	AUX
fbem-30087	33	5	used	use	VERB
fbem-30087	33	6	to	to	PART
fbem-30087	33	7	build	build	VERB
fbem-30087	33	8	the	the	DET
fbem-30087	33	9	model	model	NOUN
fbem-30087	33	10	,	,	PUNCT
fbem-30087	33	11	while	while	SCONJ
fbem-30087	33	12	the	the	DET
fbem-30087	33	13	testing	testing	NOUN
fbem-30087	33	14	set	set	NOUN
fbem-30087	33	15	,	,	PUNCT
fbem-30087	33	16	which	which	PRON
fbem-30087	33	17	remained	remain	VERB
fbem-30087	33	18	unseen	unseen	ADJ
fbem-30087	33	19	during	during	ADP
fbem-30087	33	20	training	training	NOUN
fbem-30087	33	21	,	,	PUNCT
fbem-30087	33	22	allowed	allow	VERB
fbem-30087	33	23	for	for	ADP
fbem-30087	33	24	a	a	DET
fbem-30087	33	25	proper	proper	ADJ
fbem-30087	33	26	assessment	assessment	NOUN
fbem-30087	33	27	of	of	ADP
fbem-30087	33	28	how	how	SCONJ
fbem-30087	33	29	well	well	ADV
fbem-30087	33	30	the	the	DET
fbem-30087	33	31	model	model	NOUN
fbem-30087	33	32	generalizes	generalize	VERB
fbem-30087	33	33	to	to	ADP
fbem-30087	33	34	new	new	ADJ
fbem-30087	33	35	data	datum	NOUN
fbem-30087	33	36	.	.	PUNCT
fbem-30087	34	1	140	140	NUM
fbem-30087	34	2	2.2	2.2	NUM
fbem-30087	34	3	.	.	PUNCT
fbem-30087	35	1	linear	linear	ADJ
fbem-30087	35	2	regression	regression	NOUN
fbem-30087	35	3	model	model	NOUN
fbem-30087	35	4	linear	linear	PROPN
fbem-30087	35	5	regression	regression	NOUN
fbem-30087	35	6	was	be	AUX
fbem-30087	35	7	used	use	VERB
fbem-30087	35	8	to	to	PART
fbem-30087	35	9	establish	establish	VERB
fbem-30087	35	10	the	the	DET
fbem-30087	35	11	relationship	relationship	NOUN
fbem-30087	35	12	between	between	ADP
fbem-30087	35	13	apple	apple	NOUN
fbem-30087	35	14	’s	’s	PART
fbem-30087	35	15	stock	stock	NOUN
fbem-30087	35	16	returns	return	NOUN
fbem-30087	35	17	and	and	CCONJ
fbem-30087	35	18	the	the	DET
fbem-30087	35	19	returns	return	NOUN
fbem-30087	35	20	of	of	ADP
fbem-30087	35	21	spy	spy	NOUN
fbem-30087	35	22	,	,	PUNCT
fbem-30087	35	23	acting	act	VERB
fbem-30087	35	24	as	as	ADP
fbem-30087	35	25	a	a	DET
fbem-30087	35	26	market	market	NOUN
fbem-30087	35	27	proxy	proxy	NOUN
fbem-30087	35	28	.	.	PUNCT
fbem-30087	36	1	the	the	DET
fbem-30087	36	2	relationship	relationship	NOUN
fbem-30087	36	3	between	between	ADP
fbem-30087	36	4	the	the	DET
fbem-30087	36	5	two	two	NUM
fbem-30087	36	6	variables	variable	NOUN
fbem-30087	36	7	was	be	AUX
fbem-30087	36	8	assumed	assume	VERB
fbem-30087	36	9	to	to	PART
fbem-30087	36	10	be	be	AUX
fbem-30087	36	11	linear	linear	ADJ
fbem-30087	36	12	,	,	PUNCT
fbem-30087	36	13	meaning	mean	VERB
fbem-30087	36	14	that	that	SCONJ
fbem-30087	36	15	the	the	DET
fbem-30087	36	16	daily	daily	ADJ
fbem-30087	36	17	returns	return	NOUN
fbem-30087	36	18	of	of	ADP
fbem-30087	36	19	aapl	aapl	NOUN
fbem-30087	36	20	are	be	AUX
fbem-30087	36	21	explained	explain	VERB
fbem-30087	36	22	as	as	ADP
fbem-30087	36	23	a	a	DET
fbem-30087	36	24	linear	linear	ADJ
fbem-30087	36	25	function	function	NOUN
fbem-30087	36	26	of	of	ADP
fbem-30087	36	27	the	the	DET
fbem-30087	36	28	daily	daily	ADJ
fbem-30087	36	29	returns	return	NOUN
fbem-30087	36	30	of	of	ADP
fbem-30087	36	31	spy	spy	NOUN
fbem-30087	36	32	.	.	PUNCT
fbem-30087	37	1	the	the	DET
fbem-30087	37	2	model	model	NOUN
fbem-30087	37	3	is	be	AUX
fbem-30087	37	4	mathematically	mathematically	ADV
fbem-30087	37	5	represented	represent	VERB
fbem-30087	37	6	by	by	ADP
fbem-30087	37	7	the	the	DET
fbem-30087	37	8	equation	equation	NOUN
fbem-30087	37	9	:	:	PUNCT
fbem-30087	37	10	returnaapl	returnaapl	PROPN
fbem-30087	37	11	𝑡	𝑡	X
fbem-30087	37	12	=	=	SYM
fbem-30087	37	13	𝛽0	𝛽0	PROPN
fbem-30087	37	14	+	+	CCONJ
fbem-30087	37	15	𝛽aapl	𝛽aapl	NOUN
fbem-30087	37	16	,	,	PUNCT
fbem-30087	37	17	spy	spy	NOUN
fbem-30087	37	18	×	×	PROPN
fbem-30087	37	19	returnspy	returnspy	NOUN
fbem-30087	37	20	𝑡	𝑡	PROPN
fbem-30087	37	21	+	+	X
fbem-30087	37	22	𝜖aapl	𝜖aapl	NOUN
fbem-30087	37	23	𝑡	𝑡	NOUN
fbem-30087	37	24	in	in	ADP
fbem-30087	37	25	this	this	DET
fbem-30087	37	26	equation	equation	NOUN
fbem-30087	37	27	:	:	PUNCT
fbem-30087	37	28	returnaapl	returnaapl	PROPN
fbem-30087	37	29	𝑡	𝑡	PROPN
fbem-30087	37	30	represents	represent	VERB
fbem-30087	37	31	the	the	DET
fbem-30087	37	32	return	return	NOUN
fbem-30087	37	33	of	of	ADP
fbem-30087	37	34	apple	apple	PROPN
fbem-30087	37	35	inc	inc	PROPN
fbem-30087	37	36	.	.	PROPN
fbem-30087	37	37	on	on	ADP
fbem-30087	37	38	day	day	PROPN
fbem-30087	37	39	t	t	PROPN
fbem-30087	37	40	,	,	PUNCT
fbem-30087	37	41	β0	β0	PROPN
fbem-30087	37	42	is	be	AUX
fbem-30087	37	43	the	the	DET
fbem-30087	37	44	intercept	intercept	NOUN
fbem-30087	37	45	term	term	NOUN
fbem-30087	37	46	,	,	PUNCT
fbem-30087	37	47	which	which	PRON
fbem-30087	37	48	represents	represent	VERB
fbem-30087	37	49	the	the	DET
fbem-30087	37	50	baseline	baseline	ADJ
fbem-30087	37	51	return	return	NOUN
fbem-30087	37	52	of	of	ADP
fbem-30087	37	53	aapl	aapl	NOUN
fbem-30087	37	54	when	when	SCONJ
fbem-30087	37	55	the	the	DET
fbem-30087	37	56	return	return	NOUN
fbem-30087	37	57	of	of	ADP
fbem-30087	37	58	spy	spy	NOUN
fbem-30087	37	59	is	be	AUX
fbem-30087	37	60	zero	zero	NUM
fbem-30087	37	61	,	,	PUNCT
fbem-30087	37	62	βaapl	βaapl	NOUN
fbem-30087	37	63	,	,	PUNCT
fbem-30087	37	64	spy	spy	NOUN
fbem-30087	37	65	is	be	AUX
fbem-30087	37	66	the	the	DET
fbem-30087	37	67	coefficient	coefficient	NOUN
fbem-30087	37	68	that	that	PRON
fbem-30087	37	69	indicates	indicate	VERB
fbem-30087	37	70	how	how	SCONJ
fbem-30087	37	71	sensitive	sensitive	ADJ
fbem-30087	37	72	aapl	aapl	NOUN
fbem-30087	37	73	’s	’s	PART
fbem-30087	37	74	return	return	NOUN
fbem-30087	37	75	is	be	AUX
fbem-30087	37	76	to	to	ADP
fbem-30087	37	77	changes	change	NOUN
fbem-30087	37	78	in	in	ADP
fbem-30087	37	79	spy	spy	NOUN
fbem-30087	37	80	’s	’s	PART
fbem-30087	37	81	return	return	NOUN
fbem-30087	37	82	,	,	PUNCT
fbem-30087	37	83	returnspy	returnspy	PROPN
fbem-30087	37	84	𝑡	𝑡	VERB
fbem-30087	37	85	the	the	DET
fbem-30087	37	86	return	return	NOUN
fbem-30087	37	87	of	of	ADP
fbem-30087	37	88	the	the	DET
fbem-30087	37	89	spy	spy	NOUN
fbem-30087	37	90	etf	etf	NOUN
fbem-30087	37	91	on	on	ADP
fbem-30087	37	92	day	day	PROPN
fbem-30087	37	93	t	t	PROPN
fbem-30087	37	94	,	,	PUNCT
fbem-30087	37	95	𝜖aapl	𝜖aapl	NOUN
fbem-30087	37	96	𝑡	𝑡	PROPN
fbem-30087	37	97	is	be	AUX
fbem-30087	37	98	the	the	DET
fbem-30087	37	99	error	error	NOUN
fbem-30087	37	100	term	term	NOUN
fbem-30087	37	101	,	,	PUNCT
fbem-30087	37	102	which	which	PRON
fbem-30087	37	103	accounts	account	VERB
fbem-30087	37	104	for	for	ADP
fbem-30087	37	105	factors	factor	NOUN
fbem-30087	37	106	affecting	affect	VERB
fbem-30087	37	107	aapl	aapl	NOUN
fbem-30087	37	108	’s	’s	PART
fbem-30087	37	109	returns	return	NOUN
fbem-30087	37	110	that	that	PRON
fbem-30087	37	111	are	be	AUX
fbem-30087	37	112	not	not	PART
fbem-30087	37	113	explained	explain	VERB
fbem-30087	37	114	by	by	ADP
fbem-30087	37	115	spy	spy	NOUN
fbem-30087	37	116	’s	’s	PART
fbem-30087	37	117	returns	return	NOUN
fbem-30087	37	118	.	.	PUNCT
fbem-30087	38	1	this	this	DET
fbem-30087	38	2	linear	linear	ADJ
fbem-30087	38	3	model	model	NOUN
fbem-30087	38	4	allows	allow	VERB
fbem-30087	38	5	us	we	PRON
fbem-30087	38	6	to	to	PART
fbem-30087	38	7	interpret	interpret	VERB
fbem-30087	38	8	βaapl	βaapl	NOUN
fbem-30087	38	9	,	,	PUNCT
fbem-30087	38	10	spy	spy	NOUN
fbem-30087	38	11	as	as	ADP
fbem-30087	38	12	the	the	DET
fbem-30087	38	13	expected	expect	VERB
fbem-30087	38	14	change	change	NOUN
fbem-30087	38	15	in	in	ADP
fbem-30087	38	16	aapl	aapl	NOUN
fbem-30087	38	17	’s	’s	PART
fbem-30087	38	18	return	return	NOUN
fbem-30087	38	19	for	for	ADP
fbem-30087	38	20	a	a	DET
fbem-30087	38	21	1	1	NUM
fbem-30087	38	22	%	%	NOUN
fbem-30087	38	23	change	change	NOUN
fbem-30087	38	24	in	in	ADP
fbem-30087	38	25	spy	spy	NOUN
fbem-30087	38	26	’s	’s	PART
fbem-30087	38	27	return	return	NOUN
fbem-30087	38	28	,	,	PUNCT
fbem-30087	38	29	providing	provide	VERB
fbem-30087	38	30	valuable	valuable	ADJ
fbem-30087	38	31	insight	insight	NOUN
fbem-30087	38	32	into	into	ADP
fbem-30087	38	33	how	how	SCONJ
fbem-30087	38	34	closely	closely	ADV
fbem-30087	38	35	aapl	aapl	NOUN
fbem-30087	38	36	tracks	track	VERB
fbem-30087	38	37	the	the	DET
fbem-30087	38	38	broader	broad	ADJ
fbem-30087	38	39	market	market	NOUN
fbem-30087	38	40	2.3	2.3	NUM
fbem-30087	38	41	.	.	PUNCT
fbem-30087	38	42	model	model	NOUN
fbem-30087	38	43	training	training	NOUN
fbem-30087	38	44	and	and	CCONJ
fbem-30087	38	45	evaluation	evaluation	NOUN
fbem-30087	38	46	the	the	DET
fbem-30087	38	47	linear	linear	ADJ
fbem-30087	38	48	regression	regression	NOUN
fbem-30087	38	49	model	model	NOUN
fbem-30087	38	50	was	be	AUX
fbem-30087	38	51	trained	train	VERB
fbem-30087	38	52	using	use	VERB
fbem-30087	38	53	the	the	DET
fbem-30087	38	54	training	training	NOUN
fbem-30087	38	55	data	datum	NOUN
fbem-30087	38	56	,	,	PUNCT
fbem-30087	38	57	where	where	SCONJ
fbem-30087	38	58	the	the	DET
fbem-30087	38	59	parameters	parameter	NOUN
fbem-30087	38	60	β0	β0	ADJ
fbem-30087	38	61	and	and	CCONJ
fbem-30087	38	62	βaapl	βaapl	NOUN
fbem-30087	38	63	,	,	PUNCT
fbem-30087	38	64	spy	spy	NOUN
fbem-30087	38	65	was	be	AUX
fbem-30087	38	66	estimated	estimate	VERB
fbem-30087	38	67	by	by	ADP
fbem-30087	38	68	minimizing	minimize	VERB
fbem-30087	38	69	the	the	DET
fbem-30087	38	70	sum	sum	NOUN
fbem-30087	38	71	of	of	ADP
fbem-30087	38	72	squared	square	VERB
fbem-30087	38	73	errors	error	NOUN
fbem-30087	38	74	using	use	VERB
fbem-30087	38	75	ordinary	ordinary	ADJ
fbem-30087	38	76	least	least	ADJ
fbem-30087	38	77	squares	square	NOUN
fbem-30087	38	78	(	(	PUNCT
fbem-30087	38	79	ols	ol	NOUN
fbem-30087	38	80	)	)	PUNCT
fbem-30087	38	81	.	.	PUNCT
fbem-30087	39	1	this	this	DET
fbem-30087	39	2	method	method	NOUN
fbem-30087	39	3	identifies	identify	VERB
fbem-30087	39	4	the	the	DET
fbem-30087	39	5	coefficients	coefficient	NOUN
fbem-30087	39	6	that	that	PRON
fbem-30087	39	7	best	well	ADV
fbem-30087	39	8	fit	fit	VERB
fbem-30087	39	9	the	the	DET
fbem-30087	39	10	observed	observe	VERB
fbem-30087	39	11	data	datum	NOUN
fbem-30087	39	12	.	.	PUNCT
fbem-30087	40	1	after	after	ADP
fbem-30087	40	2	training	training	NOUN
fbem-30087	40	3	,	,	PUNCT
fbem-30087	40	4	the	the	DET
fbem-30087	40	5	model	model	NOUN
fbem-30087	40	6	was	be	AUX
fbem-30087	40	7	tested	test	VERB
fbem-30087	40	8	using	use	VERB
fbem-30087	40	9	separate	separate	ADJ
fbem-30087	40	10	testing	testing	NOUN
fbem-30087	40	11	data	datum	NOUN
fbem-30087	40	12	,	,	PUNCT
fbem-30087	40	13	which	which	PRON
fbem-30087	40	14	allowed	allow	VERB
fbem-30087	40	15	us	we	PRON
fbem-30087	40	16	to	to	PART
fbem-30087	40	17	evaluate	evaluate	VERB
fbem-30087	40	18	its	its	PRON
fbem-30087	40	19	performance	performance	NOUN
fbem-30087	40	20	on	on	ADP
fbem-30087	40	21	unseen	unseen	ADJ
fbem-30087	40	22	data	datum	NOUN
fbem-30087	40	23	.	.	PUNCT
fbem-30087	41	1	to	to	PART
fbem-30087	41	2	further	far	ADV
fbem-30087	41	3	validate	validate	VERB
fbem-30087	41	4	the	the	DET
fbem-30087	41	5	model	model	NOUN
fbem-30087	41	6	,	,	PUNCT
fbem-30087	41	7	cross	cross	NOUN
fbem-30087	41	8	-	-	ADJ
fbem-30087	41	9	validation	validation	NOUN
fbem-30087	41	10	was	be	AUX
fbem-30087	41	11	conducted	conduct	VERB
fbem-30087	41	12	,	,	PUNCT
fbem-30087	41	13	dividing	divide	VERB
fbem-30087	41	14	the	the	DET
fbem-30087	41	15	data	datum	NOUN
fbem-30087	41	16	into	into	ADP
fbem-30087	41	17	multiple	multiple	ADJ
fbem-30087	41	18	subsets	subset	NOUN
fbem-30087	41	19	or	or	CCONJ
fbem-30087	41	20	"	"	PUNCT
fbem-30087	41	21	folds	fold	NOUN
fbem-30087	41	22	.	.	PUNCT
fbem-30087	41	23	"	"	PUNCT
fbem-30087	42	1	the	the	DET
fbem-30087	42	2	model	model	NOUN
fbem-30087	42	3	was	be	AUX
fbem-30087	42	4	trained	train	VERB
fbem-30087	42	5	on	on	ADP
fbem-30087	42	6	some	some	DET
fbem-30087	42	7	folds	fold	NOUN
fbem-30087	42	8	and	and	CCONJ
fbem-30087	42	9	tested	test	VERB
fbem-30087	42	10	on	on	ADP
fbem-30087	42	11	others	other	NOUN
fbem-30087	42	12	,	,	PUNCT
fbem-30087	42	13	repeating	repeat	VERB
fbem-30087	42	14	this	this	DET
fbem-30087	42	15	process	process	NOUN
fbem-30087	42	16	to	to	PART
fbem-30087	42	17	assess	assess	VERB
fbem-30087	42	18	its	its	PRON
fbem-30087	42	19	generalization	generalization	NOUN
fbem-30087	42	20	ability	ability	NOUN
fbem-30087	42	21	.	.	PUNCT
fbem-30087	43	1	the	the	DET
fbem-30087	43	2	model	model	NOUN
fbem-30087	43	3	's	's	PART
fbem-30087	43	4	predictive	predictive	ADJ
fbem-30087	43	5	accuracy	accuracy	NOUN
fbem-30087	43	6	was	be	AUX
fbem-30087	43	7	evaluated	evaluate	VERB
fbem-30087	43	8	using	use	VERB
fbem-30087	43	9	metrics	metric	NOUN
fbem-30087	43	10	such	such	ADJ
fbem-30087	43	11	as	as	ADP
fbem-30087	43	12	mean	mean	NOUN
fbem-30087	43	13	squared	square	VERB
fbem-30087	43	14	error	error	NOUN
fbem-30087	43	15	(	(	PUNCT
fbem-30087	43	16	mse	mse	NOUN
fbem-30087	43	17	)	)	PUNCT
fbem-30087	43	18	and	and	CCONJ
fbem-30087	43	19	r	r	NOUN
fbem-30087	43	20	-	-	PUNCT
fbem-30087	43	21	squared	square	VERB
fbem-30087	43	22	(	(	PUNCT
fbem-30087	43	23	r²	r²	PROPN
fbem-30087	43	24	)	)	PUNCT
fbem-30087	43	25	,	,	PUNCT
fbem-30087	43	26	which	which	PRON
fbem-30087	43	27	provided	provide	VERB
fbem-30087	43	28	insights	insight	NOUN
fbem-30087	43	29	into	into	ADP
fbem-30087	43	30	how	how	SCONJ
fbem-30087	43	31	well	well	ADV
fbem-30087	43	32	the	the	DET
fbem-30087	43	33	model	model	NOUN
fbem-30087	43	34	explained	explain	VERB
fbem-30087	43	35	stock	stock	NOUN
fbem-30087	43	36	return	return	PROPN
fbem-30087	43	37	variance	variance	NOUN
fbem-30087	43	38	and	and	CCONJ
fbem-30087	43	39	the	the	DET
fbem-30087	43	40	accuracy	accuracy	NOUN
fbem-30087	43	41	of	of	ADP
fbem-30087	43	42	its	its	PRON
fbem-30087	43	43	predictions	prediction	NOUN
fbem-30087	43	44	based	base	VERB
fbem-30087	43	45	on	on	ADP
fbem-30087	43	46	market	market	NOUN
fbem-30087	43	47	movements	movement	NOUN
fbem-30087	43	48	3	3	NUM
fbem-30087	44	1	.	.	PUNCT
fbem-30087	44	2	results	result	NOUN
fbem-30087	44	3	3.1	3.1	NUM
fbem-30087	44	4	.	.	PUNCT
fbem-30087	45	1	linear	linear	ADJ
fbem-30087	45	2	regression	regression	NOUN
fbem-30087	45	3	analysis	analysis	NOUN
fbem-30087	45	4	the	the	DET
fbem-30087	45	5	linear	linear	ADJ
fbem-30087	45	6	regression	regression	NOUN
fbem-30087	45	7	model	model	NOUN
fbem-30087	45	8	was	be	AUX
fbem-30087	45	9	successfully	successfully	ADV
fbem-30087	45	10	fitted	fit	VERB
fbem-30087	45	11	to	to	ADP
fbem-30087	45	12	the	the	DET
fbem-30087	45	13	training	training	NOUN
fbem-30087	45	14	data	datum	NOUN
fbem-30087	45	15	,	,	PUNCT
fbem-30087	45	16	yielding	yield	VERB
fbem-30087	45	17	estimates	estimate	NOUN
fbem-30087	45	18	for	for	ADP
fbem-30087	45	19	(	(	PUNCT
fbem-30087	45	20	β0	β0	NOUN
fbem-30087	45	21	)	)	PUNCT
fbem-30087	45	22	and	and	CCONJ
fbem-30087	45	23	βaapl	βaapl	NOUN
fbem-30087	45	24	,	,	PUNCT
fbem-30087	45	25	spy	spy	VERB
fbem-30087	45	26	these	these	DET
fbem-30087	45	27	coefficients	coefficient	NOUN
fbem-30087	45	28	reflect	reflect	VERB
fbem-30087	45	29	the	the	DET
fbem-30087	45	30	relationship	relationship	NOUN
fbem-30087	45	31	between	between	ADP
fbem-30087	45	32	apple	apple	NOUN
fbem-30087	45	33	’s	’s	PART
fbem-30087	45	34	stock	stock	NOUN
fbem-30087	45	35	returns	return	NOUN
fbem-30087	45	36	and	and	CCONJ
fbem-30087	45	37	the	the	DET
fbem-30087	45	38	market	market	NOUN
fbem-30087	45	39	returns	return	NOUN
fbem-30087	45	40	.	.	PUNCT
fbem-30087	46	1	the	the	DET
fbem-30087	46	2	results	result	NOUN
fbem-30087	46	3	showed	show	VERB
fbem-30087	46	4	that	that	SCONJ
fbem-30087	46	5	the	the	DET
fbem-30087	46	6	model	model	NOUN
fbem-30087	46	7	effectively	effectively	ADV
fbem-30087	46	8	captures	capture	VERB
fbem-30087	46	9	the	the	DET
fbem-30087	46	10	linear	linear	PROPN
fbem-30087	46	11	relationship	relationship	NOUN
fbem-30087	46	12	,	,	PUNCT
fbem-30087	46	13	providing	provide	VERB
fbem-30087	46	14	a	a	DET
fbem-30087	46	15	basis	basis	NOUN
fbem-30087	46	16	for	for	ADP
fbem-30087	46	17	predicting	predict	VERB
fbem-30087	46	18	stock	stock	NOUN
fbem-30087	46	19	returns	return	NOUN
fbem-30087	46	20	based	base	VERB
fbem-30087	46	21	on	on	ADP
fbem-30087	46	22	market	market	NOUN
fbem-30087	46	23	performance	performance	NOUN
fbem-30087	46	24	.	.	PUNCT
fbem-30087	47	1	the	the	DET
fbem-30087	47	2	linear	linear	PROPN
fbem-30087	47	3	regression	regression	NOUN
fbem-30087	47	4	model	model	NOUN
fbem-30087	47	5	was	be	AUX
fbem-30087	47	6	successfully	successfully	ADV
fbem-30087	47	7	fitted	fit	VERB
fbem-30087	47	8	to	to	ADP
fbem-30087	47	9	the	the	DET
fbem-30087	47	10	training	training	NOUN
fbem-30087	47	11	data	datum	NOUN
fbem-30087	47	12	,	,	PUNCT
fbem-30087	47	13	and	and	CCONJ
fbem-30087	47	14	the	the	DET
fbem-30087	47	15	estimates	estimate	NOUN
fbem-30087	47	16	for	for	ADP
fbem-30087	47	17	the	the	DET
fbem-30087	47	18	intercept	intercept	NOUN
fbem-30087	47	19	(	(	PUNCT
fbem-30087	47	20	β0	β0	NOUN
fbem-30087	47	21	)	)	PUNCT
fbem-30087	47	22	and	and	CCONJ
fbem-30087	47	23	the	the	DET
fbem-30087	47	24	coefficient	coefficient	NOUN
fbem-30087	47	25	for	for	ADP
fbem-30087	47	26	spy	spy	NOUN
fbem-30087	47	27	returns	return	NOUN
fbem-30087	47	28	(	(	PUNCT
fbem-30087	47	29	βaapl	βaapl	NOUN
fbem-30087	47	30	,	,	PUNCT
fbem-30087	47	31	spy	spy	NOUN
fbem-30087	47	32	)	)	PUNCT
fbem-30087	47	33	were	be	AUX
fbem-30087	47	34	obtained	obtain	VERB
fbem-30087	47	35	.	.	PUNCT
fbem-30087	48	1	these	these	DET
fbem-30087	48	2	coefficients	coefficient	NOUN
fbem-30087	48	3	represent	represent	VERB
fbem-30087	48	4	the	the	DET
fbem-30087	48	5	relationship	relationship	NOUN
fbem-30087	48	6	between	between	ADP
fbem-30087	48	7	apple	apple	PROPN
fbem-30087	48	8	inc	inc	PROPN
fbem-30087	48	9	.	.	PROPN
fbem-30087	48	10	's	's	PART
fbem-30087	48	11	stock	stock	NOUN
fbem-30087	48	12	returns	return	NOUN
fbem-30087	48	13	and	and	CCONJ
fbem-30087	48	14	the	the	DET
fbem-30087	48	15	broader	broad	ADJ
fbem-30087	48	16	market	market	NOUN
fbem-30087	48	17	returns	return	NOUN
fbem-30087	48	18	as	as	SCONJ
fbem-30087	48	19	captured	capture	VERB
fbem-30087	48	20	by	by	ADP
fbem-30087	48	21	the	the	DET
fbem-30087	48	22	spy	spy	NOUN
fbem-30087	48	23	etf	etf	NOUN
fbem-30087	48	24	.	.	PUNCT
fbem-30087	49	1	the	the	DET
fbem-30087	49	2	results	result	NOUN
fbem-30087	49	3	demonstrated	demonstrate	VERB
fbem-30087	49	4	that	that	SCONJ
fbem-30087	49	5	the	the	DET
fbem-30087	49	6	model	model	NOUN
fbem-30087	49	7	effectively	effectively	ADV
fbem-30087	49	8	models	model	VERB
fbem-30087	49	9	the	the	DET
fbem-30087	49	10	linear	linear	ADJ
fbem-30087	49	11	relationship	relationship	NOUN
fbem-30087	49	12	between	between	ADP
fbem-30087	49	13	aapl	aapl	NOUN
fbem-30087	49	14	's	's	PART
fbem-30087	49	15	stock	stock	NOUN
fbem-30087	49	16	returns	return	NOUN
fbem-30087	49	17	and	and	CCONJ
fbem-30087	49	18	the	the	DET
fbem-30087	49	19	market	market	NOUN
fbem-30087	49	20	performance	performance	NOUN
fbem-30087	49	21	,	,	PUNCT
fbem-30087	49	22	which	which	PRON
fbem-30087	49	23	serves	serve	VERB
fbem-30087	49	24	as	as	ADP
fbem-30087	49	25	a	a	DET
fbem-30087	49	26	reliable	reliable	ADJ
fbem-30087	49	27	foundation	foundation	NOUN
fbem-30087	49	28	for	for	ADP
fbem-30087	49	29	predicting	predict	VERB
fbem-30087	49	30	stock	stock	NOUN
fbem-30087	49	31	returns	return	NOUN
fbem-30087	49	32	based	base	VERB
fbem-30087	49	33	on	on	ADP
fbem-30087	49	34	market	market	NOUN
fbem-30087	49	35	movements	movement	NOUN
fbem-30087	49	36	.	.	PUNCT
fbem-30087	50	1	the	the	DET
fbem-30087	50	2	coefficient	coefficient	NOUN
fbem-30087	50	3	for	for	ADP
fbem-30087	50	4	the	the	DET
fbem-30087	50	5	spy	spy	NOUN
fbem-30087	50	6	returns	return	NOUN
fbem-30087	50	7	was	be	AUX
fbem-30087	50	8	found	find	VERB
fbem-30087	50	9	to	to	PART
fbem-30087	50	10	be	be	AUX
fbem-30087	50	11	statistically	statistically	ADV
fbem-30087	50	12	significant	significant	ADJ
fbem-30087	50	13	,	,	PUNCT
fbem-30087	50	14	suggesting	suggest	VERB
fbem-30087	50	15	that	that	SCONJ
fbem-30087	50	16	changes	change	NOUN
fbem-30087	50	17	in	in	ADP
fbem-30087	50	18	the	the	DET
fbem-30087	50	19	broader	broad	ADJ
fbem-30087	50	20	market	market	NOUN
fbem-30087	50	21	have	have	VERB
fbem-30087	50	22	a	a	DET
fbem-30087	50	23	meaningful	meaningful	ADJ
fbem-30087	50	24	influence	influence	NOUN
fbem-30087	50	25	on	on	ADP
fbem-30087	50	26	apple	apple	NOUN
fbem-30087	50	27	's	's	PART
fbem-30087	50	28	stock	stock	NOUN
fbem-30087	50	29	performance	performance	NOUN
fbem-30087	50	30	.	.	PUNCT
fbem-30087	51	1	3.2	3.2	NUM
fbem-30087	51	2	.	.	PUNCT
fbem-30087	52	1	cross	cross	ADJ
fbem-30087	52	2	-	-	ADJ
fbem-30087	52	3	validation	validation	ADJ
fbem-30087	52	4	results	result	NOUN
fbem-30087	52	5	to	to	PART
fbem-30087	52	6	further	far	ADV
fbem-30087	52	7	evaluate	evaluate	VERB
fbem-30087	52	8	the	the	DET
fbem-30087	52	9	model	model	NOUN
fbem-30087	52	10	’s	’s	PART
fbem-30087	52	11	performance	performance	NOUN
fbem-30087	52	12	,	,	PUNCT
fbem-30087	52	13	crossvalidation	crossvalidation	NOUN
fbem-30087	52	14	was	be	AUX
fbem-30087	52	15	applied	apply	VERB
fbem-30087	52	16	,	,	PUNCT
fbem-30087	52	17	dividing	divide	VERB
fbem-30087	52	18	the	the	DET
fbem-30087	52	19	data	datum	NOUN
fbem-30087	52	20	into	into	ADP
fbem-30087	52	21	multiple	multiple	ADJ
fbem-30087	52	22	subsets	subset	NOUN
fbem-30087	52	23	(	(	PUNCT
fbem-30087	52	24	or	or	CCONJ
fbem-30087	52	25	folds	fold	NOUN
fbem-30087	52	26	)	)	PUNCT
fbem-30087	52	27	to	to	PART
fbem-30087	52	28	assess	assess	VERB
fbem-30087	52	29	how	how	SCONJ
fbem-30087	52	30	well	well	ADV
fbem-30087	52	31	the	the	DET
fbem-30087	52	32	model	model	NOUN
fbem-30087	52	33	performs	perform	VERB
fbem-30087	52	34	across	across	ADP
fbem-30087	52	35	different	different	ADJ
fbem-30087	52	36	portions	portion	NOUN
fbem-30087	52	37	of	of	ADP
fbem-30087	52	38	the	the	DET
fbem-30087	52	39	data	datum	NOUN
fbem-30087	52	40	.	.	PUNCT
fbem-30087	53	1	the	the	DET
fbem-30087	53	2	average	average	ADJ
fbem-30087	53	3	results	result	NOUN
fbem-30087	53	4	from	from	ADP
fbem-30087	53	5	crossvalidation	crossvalidation	NOUN
fbem-30087	53	6	provide	provide	VERB
fbem-30087	53	7	a	a	DET
fbem-30087	53	8	reliable	reliable	ADJ
fbem-30087	53	9	indication	indication	NOUN
fbem-30087	53	10	of	of	ADP
fbem-30087	53	11	the	the	DET
fbem-30087	53	12	model	model	NOUN
fbem-30087	53	13	’s	’s	PART
fbem-30087	53	14	ability	ability	NOUN
fbem-30087	53	15	to	to	PART
fbem-30087	53	16	generalize	generalize	VERB
fbem-30087	53	17	.	.	PUNCT
fbem-30087	54	1	the	the	DET
fbem-30087	54	2	table	table	NOUN
fbem-30087	54	3	1	1	NUM
fbem-30087	54	4	below	below	ADV
fbem-30087	54	5	shows	show	VERB
fbem-30087	54	6	the	the	DET
fbem-30087	54	7	mean	mean	ADJ
fbem-30087	54	8	squared	square	VERB
fbem-30087	54	9	error	error	NOUN
fbem-30087	54	10	(	(	PUNCT
fbem-30087	54	11	mse	mse	NOUN
fbem-30087	54	12	)	)	PUNCT
fbem-30087	54	13	and	and	CCONJ
fbem-30087	54	14	r	r	NOUN
fbem-30087	54	15	-	-	PUNCT
fbem-30087	54	16	squared	square	VERB
fbem-30087	54	17	(	(	PUNCT
fbem-30087	54	18	r²	r²	NOUN
fbem-30087	54	19	)	)	PUNCT
fbem-30087	54	20	values	value	NOUN
fbem-30087	54	21	for	for	ADP
fbem-30087	54	22	each	each	DET
fbem-30087	54	23	fold	fold	ADJ
fbem-30087	54	24	:	:	PUNCT
fbem-30087	54	25	table	table	NOUN
fbem-30087	54	26	1	1	NUM
fbem-30087	54	27	.	.	PUNCT
fbem-30087	54	28	cross	cross	NOUN
fbem-30087	54	29	validation	validation	PROPN
fbem-30087	54	30	results	result	NOUN
fbem-30087	54	31	fold	fold	NOUN
fbem-30087	54	32	mse	mse	NOUN
fbem-30087	54	33	(	(	PUNCT
fbem-30087	54	34	mean	mean	INTJ
fbem-30087	54	35	squared	square	VERB
fbem-30087	54	36	error	error	NOUN
fbem-30087	54	37	)	)	PUNCT
fbem-30087	54	38	r	r	NOUN
fbem-30087	54	39	-	-	PUNCT
fbem-30087	54	40	squared	square	VERB
fbem-30087	54	41	(	(	PUNCT
fbem-30087	54	42	r²	r²	NOUN
fbem-30087	54	43	)	)	PUNCT
fbem-30087	54	44	1	1	NUM
fbem-30087	54	45	0.0021	0.0021	NUM
fbem-30087	54	46	0.89	0.89	NUM
fbem-30087	54	47	2	2	NUM
fbem-30087	54	48	0.0023	0.0023	NUM
fbem-30087	54	49	0.87	0.87	NUM
fbem-30087	54	50	3	3	NUM
fbem-30087	54	51	0.0020	0.0020	NUM
fbem-30087	54	52	0.90	0.90	NUM
fbem-30087	54	53	4	4	NUM
fbem-30087	54	54	0.0022	0.0022	NUM
fbem-30087	54	55	0.88	0.88	NUM
fbem-30087	54	56	5	5	NUM
fbem-30087	54	57	0.0021	0.0021	NUM
fbem-30087	54	58	0.89	0.89	NUM
fbem-30087	54	59	the	the	DET
fbem-30087	54	60	cross	cross	ADJ
fbem-30087	54	61	-	-	ADJ
fbem-30087	54	62	validation	validation	ADJ
fbem-30087	54	63	results	result	NOUN
fbem-30087	54	64	in	in	ADP
fbem-30087	54	65	above	above	ADP
fbem-30087	54	66	table	table	NOUN
fbem-30087	54	67	1	1	NUM
fbem-30087	54	68	indicate	indicate	VERB
fbem-30087	54	69	that	that	SCONJ
fbem-30087	54	70	the	the	DET
fbem-30087	54	71	model	model	NOUN
fbem-30087	54	72	performs	perform	VERB
fbem-30087	54	73	consistently	consistently	ADV
fbem-30087	54	74	well	well	ADV
fbem-30087	54	75	,	,	PUNCT
fbem-30087	54	76	with	with	ADP
fbem-30087	54	77	relatively	relatively	ADV
fbem-30087	54	78	low	low	ADJ
fbem-30087	54	79	mse	mse	NOUN
fbem-30087	54	80	values	value	NOUN
fbem-30087	54	81	and	and	CCONJ
fbem-30087	54	82	high	high	ADJ
fbem-30087	54	83	r	r	NOUN
fbem-30087	54	84	-	-	PUNCT
fbem-30087	54	85	squared	square	VERB
fbem-30087	54	86	values	value	NOUN
fbem-30087	54	87	across	across	ADP
fbem-30087	54	88	all	all	DET
fbem-30087	54	89	folds	fold	NOUN
fbem-30087	54	90	.	.	PUNCT
fbem-30087	55	1	this	this	PRON
fbem-30087	55	2	suggests	suggest	VERB
fbem-30087	55	3	that	that	SCONJ
fbem-30087	55	4	the	the	DET
fbem-30087	55	5	model	model	NOUN
fbem-30087	55	6	is	be	AUX
fbem-30087	55	7	reliable	reliable	ADJ
fbem-30087	55	8	and	and	CCONJ
fbem-30087	55	9	capable	capable	ADJ
fbem-30087	55	10	of	of	ADP
fbem-30087	55	11	predicting	predict	VERB
fbem-30087	55	12	apple	apple	NOUN
fbem-30087	55	13	’s	’s	PART
fbem-30087	55	14	stock	stock	NOUN
fbem-30087	55	15	returns	return	NOUN
fbem-30087	55	16	based	base	VERB
fbem-30087	55	17	on	on	ADP
fbem-30087	55	18	market	market	NOUN
fbem-30087	55	19	performance	performance	NOUN
fbem-30087	55	20	.	.	PUNCT
fbem-30087	56	1	however	however	ADV
fbem-30087	56	2	,	,	PUNCT
fbem-30087	56	3	while	while	SCONJ
fbem-30087	56	4	the	the	DET
fbem-30087	56	5	model	model	NOUN
fbem-30087	56	6	performs	perform	VERB
fbem-30087	56	7	well	well	ADV
fbem-30087	56	8	overall	overall	ADV
fbem-30087	56	9	,	,	PUNCT
fbem-30087	56	10	the	the	DET
fbem-30087	56	11	results	result	NOUN
fbem-30087	56	12	also	also	ADV
fbem-30087	56	13	suggest	suggest	VERB
fbem-30087	56	14	that	that	SCONJ
fbem-30087	56	15	the	the	DET
fbem-30087	56	16	simplicity	simplicity	NOUN
fbem-30087	56	17	of	of	ADP
fbem-30087	56	18	the	the	DET
fbem-30087	56	19	linear	linear	ADJ
fbem-30087	56	20	regression	regression	NOUN
fbem-30087	56	21	approach	approach	NOUN
fbem-30087	56	22	may	may	AUX
fbem-30087	56	23	limit	limit	VERB
fbem-30087	56	24	its	its	PRON
fbem-30087	56	25	ability	ability	NOUN
fbem-30087	56	26	to	to	PART
fbem-30087	56	27	fully	fully	ADV
fbem-30087	56	28	capture	capture	VERB
fbem-30087	56	29	more	more	ADV
fbem-30087	56	30	complex	complex	ADJ
fbem-30087	56	31	market	market	NOUN
fbem-30087	56	32	dynamics	dynamic	NOUN
fbem-30087	56	33	.	.	PUNCT
fbem-30087	57	1	while	while	SCONJ
fbem-30087	57	2	it	it	PRON
fbem-30087	57	3	provides	provide	VERB
fbem-30087	57	4	a	a	DET
fbem-30087	57	5	good	good	ADJ
fbem-30087	57	6	baseline	baseline	NOUN
fbem-30087	57	7	,	,	PUNCT
fbem-30087	57	8	future	future	ADJ
fbem-30087	57	9	improvements	improvement	NOUN
fbem-30087	57	10	could	could	AUX
fbem-30087	57	11	include	include	VERB
fbem-30087	57	12	using	use	VERB
fbem-30087	57	13	more	more	ADV
fbem-30087	57	14	advanced	advanced	ADJ
fbem-30087	57	15	models	model	NOUN
fbem-30087	57	16	that	that	PRON
fbem-30087	57	17	account	account	VERB
fbem-30087	57	18	for	for	ADP
fbem-30087	57	19	nonlinear	nonlinear	ADJ
fbem-30087	57	20	relationships	relationship	NOUN
fbem-30087	57	21	and	and	CCONJ
fbem-30087	57	22	other	other	ADJ
fbem-30087	57	23	variables	variable	NOUN
fbem-30087	57	24	that	that	PRON
fbem-30087	57	25	influence	influence	VERB
fbem-30087	57	26	stock	stock	NOUN
fbem-30087	57	27	returns	return	NOUN
fbem-30087	57	28	.	.	PUNCT
fbem-30087	58	1	4	4	X
fbem-30087	58	2	.	.	X
fbem-30087	58	3	discussion	discussion	NOUN
fbem-30087	58	4	linear	linear	PROPN
fbem-30087	58	5	regression	regression	NOUN
fbem-30087	58	6	is	be	AUX
fbem-30087	58	7	a	a	DET
fbem-30087	58	8	widely	widely	ADV
fbem-30087	58	9	-	-	PUNCT
fbem-30087	58	10	used	use	VERB
fbem-30087	58	11	and	and	CCONJ
fbem-30087	58	12	valuable	valuable	ADJ
fbem-30087	58	13	tool	tool	NOUN
fbem-30087	58	14	in	in	ADP
fbem-30087	58	15	financial	financial	ADJ
fbem-30087	58	16	analysis	analysis	NOUN
fbem-30087	58	17	,	,	PUNCT
fbem-30087	58	18	particularly	particularly	ADV
fbem-30087	58	19	for	for	ADP
fbem-30087	58	20	understanding	understand	VERB
fbem-30087	58	21	relationships	relationship	NOUN
fbem-30087	58	22	between	between	ADP
fbem-30087	58	23	different	different	ADJ
fbem-30087	58	24	variables	variable	NOUN
fbem-30087	58	25	,	,	PUNCT
fbem-30087	58	26	such	such	ADJ
fbem-30087	58	27	as	as	ADP
fbem-30087	58	28	market	market	NOUN
fbem-30087	58	29	returns	return	NOUN
fbem-30087	58	30	and	and	CCONJ
fbem-30087	58	31	individual	individual	ADJ
fbem-30087	58	32	stock	stock	NOUN
fbem-30087	58	33	returns	return	NOUN
fbem-30087	58	34	.	.	PUNCT
fbem-30087	59	1	its	its	PRON
fbem-30087	59	2	simplicity	simplicity	NOUN
fbem-30087	59	3	and	and	CCONJ
fbem-30087	59	4	interpretability	interpretability	NOUN
fbem-30087	59	5	make	make	VERB
fbem-30087	59	6	it	it	PRON
fbem-30087	59	7	an	an	DET
fbem-30087	59	8	excellent	excellent	ADJ
fbem-30087	59	9	starting	starting	NOUN
fbem-30087	59	10	point	point	NOUN
fbem-30087	59	11	for	for	ADP
fbem-30087	59	12	financial	financial	ADJ
fbem-30087	59	13	modeling	modeling	NOUN
fbem-30087	59	14	,	,	PUNCT
fbem-30087	59	15	allowing	allow	VERB
fbem-30087	59	16	analysts	analyst	NOUN
fbem-30087	59	17	to	to	PART
fbem-30087	59	18	draw	draw	VERB
fbem-30087	59	19	clear	clear	ADJ
fbem-30087	59	20	,	,	PUNCT
fbem-30087	59	21	straightforward	straightforward	ADJ
fbem-30087	59	22	insights	insight	NOUN
fbem-30087	59	23	from	from	ADP
fbem-30087	59	24	the	the	DET
fbem-30087	59	25	data	datum	NOUN
fbem-30087	59	26	.	.	PUNCT
fbem-30087	60	1	by	by	ADP
fbem-30087	60	2	establishing	establish	VERB
fbem-30087	60	3	a	a	DET
fbem-30087	60	4	linear	linear	ADJ
fbem-30087	60	5	relationship	relationship	NOUN
fbem-30087	60	6	between	between	ADP
fbem-30087	60	7	the	the	DET
fbem-30087	60	8	predictor	predictor	NOUN
fbem-30087	60	9	(	(	PUNCT
fbem-30087	60	10	market	market	NOUN
fbem-30087	60	11	returns	return	NOUN
fbem-30087	60	12	)	)	PUNCT
fbem-30087	60	13	and	and	CCONJ
fbem-30087	60	14	the	the	DET
fbem-30087	60	15	dependent	dependent	ADJ
fbem-30087	60	16	variable	variable	NOUN
fbem-30087	60	17	(	(	PUNCT
fbem-30087	60	18	stock	stock	NOUN
fbem-30087	60	19	returns	return	NOUN
fbem-30087	60	20	)	)	PUNCT
fbem-30087	60	21	,	,	PUNCT
fbem-30087	60	22	linear	linear	ADJ
fbem-30087	60	23	regression	regression	NOUN
fbem-30087	60	24	can	can	AUX
fbem-30087	60	25	provide	provide	VERB
fbem-30087	60	26	reliable	reliable	ADJ
fbem-30087	60	27	predictions	prediction	NOUN
fbem-30087	60	28	in	in	ADP
fbem-30087	60	29	less	less	ADJ
fbem-30087	60	30	complex	complex	ADJ
fbem-30087	60	31	market	market	NOUN
fbem-30087	60	32	conditions	condition	NOUN
fbem-30087	60	33	.	.	PUNCT
fbem-30087	61	1	however	however	ADV
fbem-30087	61	2	,	,	PUNCT
fbem-30087	61	3	when	when	SCONJ
fbem-30087	61	4	it	it	PRON
fbem-30087	61	5	comes	come	VERB
fbem-30087	61	6	to	to	ADP
fbem-30087	61	7	capturing	capture	VERB
fbem-30087	61	8	the	the	DET
fbem-30087	61	9	complexities	complexity	NOUN
fbem-30087	61	10	of	of	ADP
fbem-30087	61	11	real	real	ADJ
fbem-30087	61	12	-	-	PUNCT
fbem-30087	61	13	world	world	NOUN
fbem-30087	61	14	financial	financial	ADJ
fbem-30087	61	15	markets	market	NOUN
fbem-30087	61	16	,	,	PUNCT
fbem-30087	61	17	which	which	PRON
fbem-30087	61	18	are	be	AUX
fbem-30087	61	19	often	often	ADV
fbem-30087	61	20	influenced	influence	VERB
fbem-30087	61	21	by	by	ADP
fbem-30087	61	22	non	non	ADJ
fbem-30087	61	23	-	-	ADJ
fbem-30087	61	24	linear	linear	ADJ
fbem-30087	61	25	factors	factor	NOUN
fbem-30087	61	26	such	such	ADJ
fbem-30087	61	27	as	as	ADP
fbem-30087	61	28	investor	investor	NOUN
fbem-30087	61	29	sentiment	sentiment	NOUN
fbem-30087	61	30	,	,	PUNCT
fbem-30087	61	31	policy	policy	NOUN
fbem-30087	61	32	changes	change	NOUN
fbem-30087	61	33	,	,	PUNCT
fbem-30087	61	34	or	or	CCONJ
fbem-30087	61	35	economic	economic	ADJ
fbem-30087	61	36	shifts	shift	NOUN
fbem-30087	61	37	,	,	PUNCT
fbem-30087	61	38	the	the	DET
fbem-30087	61	39	limitations	limitation	NOUN
fbem-30087	61	40	of	of	ADP
fbem-30087	61	41	linear	linear	ADJ
fbem-30087	61	42	regression	regression	NOUN
fbem-30087	61	43	become	become	VERB
fbem-30087	61	44	evident	evident	ADJ
fbem-30087	61	45	.	.	PUNCT
fbem-30087	62	1	these	these	DET
fbem-30087	62	2	models	model	NOUN
fbem-30087	62	3	are	be	AUX
fbem-30087	62	4	often	often	ADV
fbem-30087	62	5	unable	unable	ADJ
fbem-30087	62	6	to	to	PART
fbem-30087	62	7	fully	fully	ADV
fbem-30087	62	8	account	account	VERB
fbem-30087	62	9	for	for	ADP
fbem-30087	62	10	the	the	DET
fbem-30087	62	11	intricate	intricate	ADJ
fbem-30087	62	12	dynamics	dynamic	NOUN
fbem-30087	62	13	that	that	PRON
fbem-30087	62	14	drive	drive	VERB
fbem-30087	62	15	market	market	NOUN
fbem-30087	62	16	behavior	behavior	NOUN
fbem-30087	62	17	,	,	PUNCT
fbem-30087	62	18	especially	especially	ADV
fbem-30087	62	19	in	in	ADP
fbem-30087	62	20	volatile	volatile	ADJ
fbem-30087	62	21	environments	environment	NOUN
fbem-30087	62	22	.	.	PUNCT
fbem-30087	63	1	for	for	ADP
fbem-30087	63	2	more	more	ADV
fbem-30087	63	3	advanced	advanced	ADJ
fbem-30087	63	4	and	and	CCONJ
fbem-30087	63	5	nuanced	nuanced	ADJ
fbem-30087	63	6	financial	financial	ADJ
fbem-30087	63	7	modeling	modeling	NOUN
fbem-30087	63	8	,	,	PUNCT
fbem-30087	63	9	alternative	alternative	ADJ
fbem-30087	63	10	methods	method	NOUN
fbem-30087	63	11	,	,	PUNCT
fbem-30087	63	12	particularly	particularly	ADV
fbem-30087	63	13	machine	machine	NOUN
fbem-30087	63	14	learning	learn	VERB
fbem-30087	63	15	techniques	technique	NOUN
fbem-30087	63	16	,	,	PUNCT
fbem-30087	63	17	offer	offer	VERB
fbem-30087	63	18	superior	superior	ADJ
fbem-30087	63	19	capabilities	capability	NOUN
fbem-30087	63	20	.	.	PUNCT
fbem-30087	64	1	machine	machine	NOUN
fbem-30087	64	2	learning	learn	VERB
fbem-30087	64	3	algorithms	algorithm	NOUN
fbem-30087	64	4	,	,	PUNCT
fbem-30087	64	5	such	such	ADJ
fbem-30087	64	6	as	as	ADP
fbem-30087	64	7	neural	neural	ADJ
fbem-30087	64	8	networks	network	NOUN
fbem-30087	64	9	,	,	PUNCT
fbem-30087	64	10	are	be	AUX
fbem-30087	64	11	specifically	specifically	ADV
fbem-30087	64	12	designed	design	VERB
fbem-30087	64	13	to	to	PART
fbem-30087	64	14	capture	capture	VERB
fbem-30087	64	15	nonlinear	nonlinear	ADJ
fbem-30087	64	16	relationships	relationship	NOUN
fbem-30087	64	17	and	and	CCONJ
fbem-30087	64	18	patterns	pattern	NOUN
fbem-30087	64	19	that	that	PRON
fbem-30087	64	20	linear	linear	ADJ
fbem-30087	64	21	regression	regression	NOUN
fbem-30087	64	22	can	can	AUX
fbem-30087	64	23	not	not	PART
fbem-30087	64	24	.	.	PUNCT
fbem-30087	65	1	by	by	ADP
fbem-30087	65	2	analyzing	analyze	VERB
fbem-30087	65	3	large	large	ADJ
fbem-30087	65	4	,	,	PUNCT
fbem-30087	65	5	high	high	ADJ
fbem-30087	65	6	-	-	PUNCT
fbem-30087	65	7	dimensional	dimensional	ADJ
fbem-30087	65	8	datasets	dataset	NOUN
fbem-30087	65	9	,	,	PUNCT
fbem-30087	65	10	these	these	DET
fbem-30087	65	11	techniques	technique	NOUN
fbem-30087	65	12	are	be	AUX
fbem-30087	65	13	capable	capable	ADJ
fbem-30087	65	14	of	of	ADP
fbem-30087	65	15	uncovering	uncover	VERB
fbem-30087	65	16	insights	insight	NOUN
fbem-30087	65	17	that	that	PRON
fbem-30087	65	18	would	would	AUX
fbem-30087	65	19	otherwise	otherwise	ADV
fbem-30087	65	20	be	be	AUX
fbem-30087	65	21	difficult	difficult	ADJ
fbem-30087	65	22	to	to	PART
fbem-30087	65	23	detect	detect	VERB
fbem-30087	65	24	,	,	PUNCT
fbem-30087	65	25	offering	offer	VERB
fbem-30087	65	26	deeper	deep	ADJ
fbem-30087	65	27	and	and	CCONJ
fbem-30087	65	28	more	more	ADV
fbem-30087	65	29	robust	robust	ADJ
fbem-30087	65	30	financial	financial	ADJ
fbem-30087	65	31	analysis	analysis	NOUN
fbem-30087	65	32	.	.	PUNCT
fbem-30087	66	1	as	as	SCONJ
fbem-30087	66	2	markets	market	NOUN
fbem-30087	66	3	evolve	evolve	VERB
fbem-30087	66	4	and	and	CCONJ
fbem-30087	66	5	become	become	VERB
fbem-30087	66	6	more	more	ADV
fbem-30087	66	7	complex	complex	ADJ
fbem-30087	66	8	,	,	PUNCT
fbem-30087	66	9	these	these	DET
fbem-30087	66	10	advanced	advanced	ADJ
fbem-30087	66	11	methods	method	NOUN
fbem-30087	66	12	are	be	AUX
fbem-30087	66	13	proving	prove	VERB
fbem-30087	66	14	to	to	PART
fbem-30087	66	15	be	be	AUX
fbem-30087	66	16	increasingly	increasingly	ADV
fbem-30087	66	17	essential	essential	ADJ
fbem-30087	66	18	in	in	ADP
fbem-30087	66	19	accurately	accurately	ADV
fbem-30087	66	20	forecasting	forecast	VERB
fbem-30087	66	21	and	and	CCONJ
fbem-30087	66	22	analyzing	analyze	VERB
fbem-30087	66	23	financial	financial	ADJ
fbem-30087	66	24	data	datum	NOUN
fbem-30087	66	25	.	.	PUNCT
fbem-30087	67	1	141	141	NUM
fbem-30087	67	2	5	5	NUM
fbem-30087	67	3	.	.	PUNCT
fbem-30087	67	4	reflections	reflection	NOUN
fbem-30087	67	5	on	on	ADP
fbem-30087	67	6	machine	machine	NOUN
fbem-30087	67	7	learning	learning	NOUN
fbem-30087	67	8	in	in	ADP
fbem-30087	67	9	finance	finance	NOUN
fbem-30087	67	10	5.1	5.1	NUM
fbem-30087	67	11	.	.	PUNCT
fbem-30087	68	1	machine	machine	NOUN
fbem-30087	68	2	learning	learn	VERB
fbem-30087	68	3	concepts	concept	NOUN
fbem-30087	68	4	in	in	ADP
fbem-30087	68	5	finance	finance	NOUN
fbem-30087	68	6	machine	machine	NOUN
fbem-30087	68	7	learning	learning	NOUN
fbem-30087	68	8	has	have	AUX
fbem-30087	68	9	significantly	significantly	ADV
fbem-30087	68	10	impacted	impact	VERB
fbem-30087	68	11	the	the	DET
fbem-30087	68	12	financial	financial	ADJ
fbem-30087	68	13	industry	industry	NOUN
fbem-30087	68	14	by	by	ADP
fbem-30087	68	15	offering	offer	VERB
fbem-30087	68	16	advanced	advanced	ADJ
fbem-30087	68	17	analytical	analytical	ADJ
fbem-30087	68	18	tools	tool	NOUN
fbem-30087	68	19	that	that	PRON
fbem-30087	68	20	leverage	leverage	VERB
fbem-30087	68	21	large	large	ADJ
fbem-30087	68	22	datasets	dataset	NOUN
fbem-30087	68	23	for	for	ADP
fbem-30087	68	24	better	well	ADJ
fbem-30087	68	25	decision	decision	NOUN
fbem-30087	68	26	-	-	PUNCT
fbem-30087	68	27	making	making	NOUN
fbem-30087	68	28	.	.	PUNCT
fbem-30087	69	1	the	the	DET
fbem-30087	69	2	ability	ability	NOUN
fbem-30087	69	3	to	to	PART
fbem-30087	69	4	uncover	uncover	VERB
fbem-30087	69	5	patterns	pattern	NOUN
fbem-30087	69	6	and	and	CCONJ
fbem-30087	69	7	make	make	VERB
fbem-30087	69	8	predictions	prediction	NOUN
fbem-30087	69	9	based	base	VERB
fbem-30087	69	10	on	on	ADP
fbem-30087	69	11	complex	complex	ADJ
fbem-30087	69	12	algorithms	algorithm	NOUN
fbem-30087	69	13	has	have	AUX
fbem-30087	69	14	transformed	transform	VERB
fbem-30087	69	15	various	various	ADJ
fbem-30087	69	16	aspects	aspect	NOUN
fbem-30087	69	17	of	of	ADP
fbem-30087	69	18	finance	finance	NOUN
fbem-30087	69	19	,	,	PUNCT
fbem-30087	69	20	including	include	VERB
fbem-30087	69	21	investment	investment	NOUN
fbem-30087	69	22	strategies	strategy	NOUN
fbem-30087	69	23	,	,	PUNCT
fbem-30087	69	24	risk	risk	NOUN
fbem-30087	69	25	management	management	NOUN
fbem-30087	69	26	,	,	PUNCT
fbem-30087	69	27	and	and	CCONJ
fbem-30087	69	28	fraud	fraud	NOUN
fbem-30087	69	29	detection	detection	NOUN
fbem-30087	69	30	.	.	PUNCT
fbem-30087	70	1	from	from	ADP
fbem-30087	70	2	my	my	PRON
fbem-30087	70	3	perspective	perspective	NOUN
fbem-30087	70	4	,	,	PUNCT
fbem-30087	70	5	the	the	DET
fbem-30087	70	6	integration	integration	NOUN
fbem-30087	70	7	of	of	ADP
fbem-30087	70	8	machine	machine	NOUN
fbem-30087	70	9	learning	learn	VERB
fbem-30087	70	10	into	into	ADP
fbem-30087	70	11	finance	finance	NOUN
fbem-30087	70	12	not	not	PART
fbem-30087	70	13	only	only	ADV
fbem-30087	70	14	enhances	enhance	VERB
fbem-30087	70	15	the	the	DET
fbem-30087	70	16	accuracy	accuracy	NOUN
fbem-30087	70	17	and	and	CCONJ
fbem-30087	70	18	efficiency	efficiency	NOUN
fbem-30087	70	19	of	of	ADP
fbem-30087	70	20	financial	financial	ADJ
fbem-30087	70	21	services	service	NOUN
fbem-30087	70	22	but	but	CCONJ
fbem-30087	70	23	also	also	ADV
fbem-30087	70	24	drives	drive	VERB
fbem-30087	70	25	innovation	innovation	NOUN
fbem-30087	70	26	and	and	CCONJ
fbem-30087	70	27	competition	competition	NOUN
fbem-30087	70	28	within	within	ADP
fbem-30087	70	29	the	the	DET
fbem-30087	70	30	industry	industry	NOUN
fbem-30087	70	31	.	.	PUNCT
fbem-30087	71	1	it	it	PRON
fbem-30087	71	2	marks	mark	VERB
fbem-30087	71	3	a	a	DET
fbem-30087	71	4	shift	shift	NOUN
fbem-30087	71	5	towards	towards	ADP
fbem-30087	71	6	datadriven	datadriven	ADJ
fbem-30087	71	7	decision	decision	NOUN
fbem-30087	71	8	-	-	PUNCT
fbem-30087	71	9	making	making	NOUN
fbem-30087	71	10	that	that	PRON
fbem-30087	71	11	was	be	AUX
fbem-30087	71	12	previously	previously	ADV
fbem-30087	71	13	unattainable	unattainable	ADJ
fbem-30087	71	14	with	with	ADP
fbem-30087	71	15	traditional	traditional	ADJ
fbem-30087	71	16	methods	method	NOUN
fbem-30087	71	17	.	.	PUNCT
fbem-30087	72	1	5.2	5.2	NUM
fbem-30087	72	2	.	.	PUNCT
fbem-30087	73	1	linear	linear	ADJ
fbem-30087	73	2	regression	regression	NOUN
fbem-30087	73	3	and	and	CCONJ
fbem-30087	73	4	neural	neural	ADJ
fbem-30087	73	5	networks	network	NOUN
fbem-30087	73	6	in	in	ADP
fbem-30087	73	7	finance	finance	NOUN
fbem-30087	73	8	5.2.1	5.2.1	NUM
fbem-30087	73	9	.	.	PUNCT
fbem-30087	74	1	linear	linear	ADJ
fbem-30087	74	2	regression	regression	NOUN
fbem-30087	74	3	linear	linear	PROPN
fbem-30087	74	4	regression	regression	NOUN
fbem-30087	74	5	remains	remain	VERB
fbem-30087	74	6	a	a	DET
fbem-30087	74	7	cornerstone	cornerstone	NOUN
fbem-30087	74	8	in	in	ADP
fbem-30087	74	9	financial	financial	ADJ
fbem-30087	74	10	modeling	modeling	NOUN
fbem-30087	74	11	due	due	ADP
fbem-30087	74	12	to	to	ADP
fbem-30087	74	13	its	its	PRON
fbem-30087	74	14	straightforward	straightforward	ADJ
fbem-30087	74	15	approach	approach	NOUN
fbem-30087	74	16	and	and	CCONJ
fbem-30087	74	17	ease	ease	NOUN
fbem-30087	74	18	of	of	ADP
fbem-30087	74	19	interpretation	interpretation	NOUN
fbem-30087	74	20	.	.	PUNCT
fbem-30087	75	1	it	it	PRON
fbem-30087	75	2	helps	help	VERB
fbem-30087	75	3	analysts	analyst	NOUN
fbem-30087	75	4	understand	understand	VERB
fbem-30087	75	5	the	the	DET
fbem-30087	75	6	relationship	relationship	NOUN
fbem-30087	75	7	between	between	ADP
fbem-30087	75	8	different	different	ADJ
fbem-30087	75	9	financial	financial	ADJ
fbem-30087	75	10	variables	variable	NOUN
fbem-30087	75	11	,	,	PUNCT
fbem-30087	75	12	such	such	ADJ
fbem-30087	75	13	as	as	ADP
fbem-30087	75	14	market	market	NOUN
fbem-30087	75	15	returns	return	NOUN
fbem-30087	75	16	and	and	CCONJ
fbem-30087	75	17	individual	individual	ADJ
fbem-30087	75	18	stock	stock	NOUN
fbem-30087	75	19	returns	return	NOUN
fbem-30087	75	20	.	.	PUNCT
fbem-30087	76	1	despite	despite	SCONJ
fbem-30087	76	2	its	its	PRON
fbem-30087	76	3	utility	utility	NOUN
fbem-30087	76	4	,	,	PUNCT
fbem-30087	76	5	linear	linear	ADJ
fbem-30087	76	6	regression	regression	NOUN
fbem-30087	76	7	has	have	VERB
fbem-30087	76	8	limitations	limitation	NOUN
fbem-30087	76	9	in	in	ADP
fbem-30087	76	10	capturing	capture	VERB
fbem-30087	76	11	non	non	ADJ
fbem-30087	76	12	-	-	ADJ
fbem-30087	76	13	linear	linear	ADJ
fbem-30087	76	14	relationships	relationship	NOUN
fbem-30087	76	15	and	and	CCONJ
fbem-30087	76	16	complex	complex	ADJ
fbem-30087	76	17	patterns	pattern	NOUN
fbem-30087	76	18	,	,	PUNCT
fbem-30087	76	19	which	which	PRON
fbem-30087	76	20	can	can	AUX
fbem-30087	76	21	be	be	AUX
fbem-30087	76	22	crucial	crucial	ADJ
fbem-30087	76	23	in	in	ADP
fbem-30087	76	24	financial	financial	ADJ
fbem-30087	76	25	markets	market	NOUN
fbem-30087	76	26	with	with	ADP
fbem-30087	76	27	intricate	intricate	ADJ
fbem-30087	76	28	dynamics	dynamic	NOUN
fbem-30087	76	29	.	.	PUNCT
fbem-30087	77	1	5.2.2	5.2.2	NUM
fbem-30087	77	2	.	.	PUNCT
fbem-30087	77	3	neural	neural	ADJ
fbem-30087	77	4	networks	network	NOUN
fbem-30087	77	5	neural	neural	ADJ
fbem-30087	77	6	networks	network	NOUN
fbem-30087	77	7	represent	represent	VERB
fbem-30087	77	8	a	a	DET
fbem-30087	77	9	more	more	ADV
fbem-30087	77	10	advanced	advanced	ADJ
fbem-30087	77	11	approach	approach	NOUN
fbem-30087	77	12	compared	compare	VERB
fbem-30087	77	13	to	to	ADP
fbem-30087	77	14	linear	linear	PROPN
fbem-30087	77	15	regression	regression	NOUN
fbem-30087	77	16	.	.	PUNCT
fbem-30087	78	1	their	their	PRON
fbem-30087	78	2	ability	ability	NOUN
fbem-30087	78	3	to	to	PART
fbem-30087	78	4	model	model	VERB
fbem-30087	78	5	nonlinear	nonlinear	ADJ
fbem-30087	78	6	relationships	relationship	NOUN
fbem-30087	78	7	and	and	CCONJ
fbem-30087	78	8	process	process	VERB
fbem-30087	78	9	large	large	ADJ
fbem-30087	78	10	volumes	volume	NOUN
fbem-30087	78	11	of	of	ADP
fbem-30087	78	12	data	datum	NOUN
fbem-30087	78	13	makes	make	VERB
fbem-30087	78	14	them	they	PRON
fbem-30087	78	15	highly	highly	ADV
fbem-30087	78	16	effective	effective	ADJ
fbem-30087	78	17	for	for	ADP
fbem-30087	78	18	various	various	ADJ
fbem-30087	78	19	financial	financial	ADJ
fbem-30087	78	20	applications	application	NOUN
fbem-30087	78	21	,	,	PUNCT
fbem-30087	78	22	including	include	VERB
fbem-30087	78	23	high	high	ADJ
fbem-30087	78	24	-	-	PUNCT
fbem-30087	78	25	frequency	frequency	NOUN
fbem-30087	78	26	trading	trading	NOUN
fbem-30087	78	27	,	,	PUNCT
fbem-30087	78	28	portfolio	portfolio	NOUN
fbem-30087	78	29	optimization	optimization	NOUN
fbem-30087	78	30	,	,	PUNCT
fbem-30087	78	31	and	and	CCONJ
fbem-30087	78	32	sentiment	sentiment	NOUN
fbem-30087	78	33	analysis	analysis	NOUN
fbem-30087	78	34	.	.	PUNCT
fbem-30087	79	1	neural	neural	ADJ
fbem-30087	79	2	networks	network	NOUN
fbem-30087	79	3	can	can	AUX
fbem-30087	79	4	identify	identify	VERB
fbem-30087	79	5	complex	complex	ADJ
fbem-30087	79	6	patterns	pattern	NOUN
fbem-30087	79	7	and	and	CCONJ
fbem-30087	79	8	provide	provide	VERB
fbem-30087	79	9	more	more	ADV
fbem-30087	79	10	nuanced	nuanced	ADJ
fbem-30087	79	11	insights	insight	NOUN
fbem-30087	79	12	,	,	PUNCT
fbem-30087	79	13	but	but	CCONJ
fbem-30087	79	14	they	they	PRON
fbem-30087	79	15	also	also	ADV
fbem-30087	79	16	come	come	VERB
fbem-30087	79	17	with	with	ADP
fbem-30087	79	18	challenges	challenge	NOUN
fbem-30087	79	19	such	such	ADJ
fbem-30087	79	20	as	as	ADP
fbem-30087	79	21	increased	increase	VERB
fbem-30087	79	22	computational	computational	ADJ
fbem-30087	79	23	requirements	requirement	NOUN
fbem-30087	79	24	and	and	CCONJ
fbem-30087	79	25	difficulties	difficulty	NOUN
fbem-30087	79	26	in	in	ADP
fbem-30087	79	27	model	model	NOUN
fbem-30087	79	28	good	good	ADJ
fbem-30087	79	29	explanatory	explanatory	ADJ
fbem-30087	79	30	power	power	NOUN
fbem-30087	79	31	.	.	PUNCT
fbem-30087	80	1	these	these	DET
fbem-30087	80	2	factors	factor	NOUN
fbem-30087	80	3	need	need	VERB
fbem-30087	80	4	to	to	PART
fbem-30087	80	5	be	be	AUX
fbem-30087	80	6	carefully	carefully	ADV
fbem-30087	80	7	managed	manage	VERB
fbem-30087	80	8	to	to	PART
fbem-30087	80	9	ensure	ensure	VERB
fbem-30087	80	10	the	the	DET
fbem-30087	80	11	effectiveness	effectiveness	NOUN
fbem-30087	80	12	and	and	CCONJ
fbem-30087	80	13	reliability	reliability	NOUN
fbem-30087	80	14	of	of	ADP
fbem-30087	80	15	neural	neural	ADJ
fbem-30087	80	16	network	network	NOUN
fbem-30087	80	17	models	model	NOUN
fbem-30087	80	18	in	in	ADP
fbem-30087	80	19	finance	finance	NOUN
fbem-30087	80	20	.	.	PUNCT
fbem-30087	81	1	5.3	5.3	NUM
fbem-30087	81	2	.	.	PUNCT
fbem-30087	82	1	ethical	ethical	ADJ
fbem-30087	82	2	responsibilities	responsibility	NOUN
fbem-30087	82	3	in	in	ADP
fbem-30087	82	4	machine	machine	NOUN
fbem-30087	82	5	learning	learn	VERB
fbem-30087	82	6	the	the	DET
fbem-30087	82	7	use	use	NOUN
fbem-30087	82	8	of	of	ADP
fbem-30087	82	9	machine	machine	NOUN
fbem-30087	82	10	learning	learning	NOUN
fbem-30087	82	11	in	in	ADP
fbem-30087	82	12	finance	finance	NOUN
fbem-30087	82	13	brings	bring	VERB
fbem-30087	82	14	several	several	ADJ
fbem-30087	82	15	ethical	ethical	ADJ
fbem-30087	82	16	considerations	consideration	NOUN
fbem-30087	82	17	.	.	PUNCT
fbem-30087	83	1	algorithmic	algorithmic	ADJ
fbem-30087	83	2	bias	bias	NOUN
fbem-30087	83	3	is	be	AUX
fbem-30087	83	4	a	a	DET
fbem-30087	83	5	major	major	ADJ
fbem-30087	83	6	concern	concern	NOUN
fbem-30087	83	7	,	,	PUNCT
fbem-30087	83	8	as	as	SCONJ
fbem-30087	83	9	biased	biased	ADJ
fbem-30087	83	10	models	model	NOUN
fbem-30087	83	11	can	can	AUX
fbem-30087	83	12	lead	lead	VERB
fbem-30087	83	13	to	to	ADP
fbem-30087	83	14	unfair	unfair	ADJ
fbem-30087	83	15	and	and	CCONJ
fbem-30087	83	16	discriminatory	discriminatory	ADJ
fbem-30087	83	17	outcomes	outcome	NOUN
fbem-30087	83	18	.	.	PUNCT
fbem-30087	84	1	it	it	PRON
fbem-30087	84	2	is	be	AUX
fbem-30087	84	3	essential	essential	ADJ
fbem-30087	84	4	for	for	SCONJ
fbem-30087	84	5	financial	financial	ADJ
fbem-30087	84	6	institutions	institution	NOUN
fbem-30087	84	7	to	to	PART
fbem-30087	84	8	ensure	ensure	VERB
fbem-30087	84	9	that	that	SCONJ
fbem-30087	84	10	their	their	PRON
fbem-30087	84	11	models	model	NOUN
fbem-30087	84	12	are	be	AUX
fbem-30087	84	13	transparent	transparent	ADJ
fbem-30087	84	14	and	and	CCONJ
fbem-30087	84	15	equitable	equitable	ADJ
fbem-30087	84	16	,	,	PUNCT
fbem-30087	84	17	and	and	CCONJ
fbem-30087	84	18	to	to	PART
fbem-30087	84	19	implement	implement	VERB
fbem-30087	84	20	rigorous	rigorous	ADJ
fbem-30087	84	21	monitoring	monitoring	NOUN
fbem-30087	84	22	systems	system	NOUN
fbem-30087	84	23	to	to	PART
fbem-30087	84	24	assess	assess	VERB
fbem-30087	84	25	their	their	PRON
fbem-30087	84	26	impact	impact	NOUN
fbem-30087	84	27	.	.	PUNCT
fbem-30087	85	1	additionally	additionally	ADV
fbem-30087	85	2	,	,	PUNCT
fbem-30087	85	3	there	there	PRON
fbem-30087	85	4	are	be	VERB
fbem-30087	85	5	concerns	concern	NOUN
fbem-30087	85	6	about	about	ADP
fbem-30087	85	7	market	market	NOUN
fbem-30087	85	8	stability	stability	NOUN
fbem-30087	85	9	and	and	CCONJ
fbem-30087	85	10	the	the	DET
fbem-30087	85	11	potential	potential	NOUN
fbem-30087	85	12	for	for	ADP
fbem-30087	85	13	algorithmic	algorithmic	ADJ
fbem-30087	85	14	trading	trading	NOUN
fbem-30087	85	15	systems	system	NOUN
fbem-30087	85	16	to	to	PART
fbem-30087	85	17	contribute	contribute	VERB
fbem-30087	85	18	to	to	ADP
fbem-30087	85	19	market	market	NOUN
fbem-30087	85	20	volatility	volatility	NOUN
fbem-30087	85	21	.	.	PUNCT
fbem-30087	86	1	addressing	address	VERB
fbem-30087	86	2	these	these	DET
fbem-30087	86	3	ethical	ethical	ADJ
fbem-30087	86	4	issues	issue	NOUN
fbem-30087	86	5	is	be	AUX
fbem-30087	86	6	crucial	crucial	ADJ
fbem-30087	86	7	for	for	ADP
fbem-30087	86	8	maintaining	maintain	VERB
fbem-30087	86	9	the	the	DET
fbem-30087	86	10	integrity	integrity	NOUN
fbem-30087	86	11	and	and	CCONJ
fbem-30087	86	12	fairness	fairness	NOUN
fbem-30087	86	13	of	of	ADP
fbem-30087	86	14	financial	financial	ADJ
fbem-30087	86	15	systems	system	NOUN
fbem-30087	86	16	.	.	PUNCT
fbem-30087	87	1	5.4	5.4	NUM
fbem-30087	87	2	.	.	PUNCT
fbem-30087	87	3	social	social	ADJ
fbem-30087	87	4	impact	impact	NOUN
fbem-30087	87	5	of	of	ADP
fbem-30087	87	6	machine	machine	NOUN
fbem-30087	87	7	learning	learn	VERB
fbem-30087	87	8	machine	machine	NOUN
fbem-30087	87	9	learning	learning	NOUN
fbem-30087	87	10	has	have	VERB
fbem-30087	87	11	significant	significant	ADJ
fbem-30087	87	12	social	social	ADJ
fbem-30087	87	13	implications	implication	NOUN
fbem-30087	87	14	in	in	ADP
fbem-30087	87	15	the	the	DET
fbem-30087	87	16	financial	financial	ADJ
fbem-30087	87	17	sector	sector	NOUN
fbem-30087	87	18	.	.	PUNCT
fbem-30087	88	1	on	on	ADP
fbem-30087	88	2	one	one	NUM
fbem-30087	88	3	hand	hand	NOUN
fbem-30087	88	4	,	,	PUNCT
fbem-30087	88	5	it	it	PRON
fbem-30087	88	6	improves	improve	VERB
fbem-30087	88	7	financial	financial	ADJ
fbem-30087	88	8	services	service	NOUN
fbem-30087	88	9	by	by	ADP
fbem-30087	88	10	making	make	VERB
fbem-30087	88	11	them	they	PRON
fbem-30087	88	12	more	more	ADV
fbem-30087	88	13	accessible	accessible	ADJ
fbem-30087	88	14	and	and	CCONJ
fbem-30087	88	15	efficient	efficient	ADJ
fbem-30087	88	16	,	,	PUNCT
fbem-30087	88	17	thereby	thereby	ADV
fbem-30087	88	18	benefiting	benefit	VERB
fbem-30087	88	19	a	a	DET
fbem-30087	88	20	broader	broad	ADJ
fbem-30087	88	21	population	population	NOUN
fbem-30087	88	22	.	.	PUNCT
fbem-30087	89	1	automated	automate	VERB
fbem-30087	89	2	trading	trading	NOUN
fbem-30087	89	3	,	,	PUNCT
fbem-30087	89	4	for	for	ADP
fbem-30087	89	5	example	example	NOUN
fbem-30087	89	6	,	,	PUNCT
fbem-30087	89	7	have	have	AUX
fbem-30087	89	8	simplify	simplify	VERB
fbem-30087	89	9	investment	investment	NOUN
fbem-30087	89	10	opportunities	opportunity	NOUN
fbem-30087	89	11	and	and	CCONJ
fbem-30087	89	12	lowered	lower	VERB
fbem-30087	89	13	entry	entry	NOUN
fbem-30087	89	14	barriers	barrier	NOUN
fbem-30087	89	15	for	for	ADP
fbem-30087	89	16	individual	individual	ADJ
fbem-30087	89	17	investors	investor	NOUN
fbem-30087	89	18	.	.	PUNCT
fbem-30087	90	1	on	on	ADP
fbem-30087	90	2	the	the	DET
fbem-30087	90	3	other	other	ADJ
fbem-30087	90	4	hand	hand	NOUN
fbem-30087	90	5	,	,	PUNCT
fbem-30087	90	6	the	the	DET
fbem-30087	90	7	rise	rise	NOUN
fbem-30087	90	8	of	of	ADP
fbem-30087	90	9	machine	machine	NOUN
fbem-30087	90	10	learning	learning	NOUN
fbem-30087	90	11	technologies	technology	NOUN
fbem-30087	90	12	also	also	ADV
fbem-30087	90	13	poses	pose	VERB
fbem-30087	90	14	challenges	challenge	NOUN
fbem-30087	90	15	such	such	ADJ
fbem-30087	90	16	as	as	ADP
fbem-30087	90	17	job	job	NOUN
fbem-30087	90	18	displacement	displacement	NOUN
fbem-30087	90	19	and	and	CCONJ
fbem-30087	90	20	increased	increase	VERB
fbem-30087	90	21	economic	economic	ADJ
fbem-30087	90	22	inequality	inequality	NOUN
fbem-30087	90	23	.	.	PUNCT
fbem-30087	91	1	the	the	DET
fbem-30087	91	2	concentration	concentration	NOUN
fbem-30087	91	3	of	of	ADP
fbem-30087	91	4	advanced	advanced	ADJ
fbem-30087	91	5	technology	technology	NOUN
fbem-30087	91	6	in	in	ADP
fbem-30087	91	7	major	major	ADJ
fbem-30087	91	8	financial	financial	ADJ
fbem-30087	91	9	institutions	institution	NOUN
fbem-30087	91	10	could	could	AUX
fbem-30087	91	11	exacerbate	exacerbate	VERB
fbem-30087	91	12	wealth	wealth	NOUN
fbem-30087	91	13	disparities	disparity	NOUN
fbem-30087	91	14	and	and	CCONJ
fbem-30087	91	15	reduce	reduce	VERB
fbem-30087	91	16	opportunities	opportunity	NOUN
fbem-30087	91	17	for	for	ADP
fbem-30087	91	18	smaller	small	ADJ
fbem-30087	91	19	players	player	NOUN
fbem-30087	91	20	.	.	PUNCT
fbem-30087	92	1	it	it	PRON
fbem-30087	92	2	is	be	AUX
fbem-30087	92	3	important	important	ADJ
fbem-30087	92	4	to	to	PART
fbem-30087	92	5	address	address	VERB
fbem-30087	92	6	these	these	DET
fbem-30087	92	7	social	social	ADJ
fbem-30087	92	8	impacts	impact	NOUN
fbem-30087	92	9	by	by	ADP
fbem-30087	92	10	providing	provide	VERB
fbem-30087	92	11	retraining	retrain	VERB
fbem-30087	92	12	for	for	ADP
fbem-30087	92	13	the	the	DET
fbem-30087	92	14	workforce	workforce	NOUN
fbem-30087	92	15	and	and	CCONJ
fbem-30087	92	16	implementing	implement	VERB
fbem-30087	92	17	policies	policy	NOUN
fbem-30087	92	18	to	to	PART
fbem-30087	92	19	mitigate	mitigate	VERB
fbem-30087	92	20	economic	economic	ADJ
fbem-30087	92	21	inequalities	inequality	NOUN
fbem-30087	92	22	.	.	PUNCT
fbem-30087	93	1	6	6	X
fbem-30087	93	2	.	.	X
fbem-30087	93	3	conclusion	conclusion	VERB
fbem-30087	93	4	the	the	DET
fbem-30087	93	5	incorporation	incorporation	NOUN
fbem-30087	93	6	of	of	ADP
fbem-30087	93	7	machine	machine	NOUN
fbem-30087	93	8	learning	learn	VERB
fbem-30087	93	9	into	into	ADP
fbem-30087	93	10	the	the	DET
fbem-30087	93	11	financial	financial	ADJ
fbem-30087	93	12	sector	sector	NOUN
fbem-30087	93	13	has	have	AUX
fbem-30087	93	14	significantly	significantly	ADV
fbem-30087	93	15	reshaped	reshape	VERB
fbem-30087	93	16	the	the	DET
fbem-30087	93	17	industry	industry	NOUN
fbem-30087	93	18	,	,	PUNCT
fbem-30087	93	19	offering	offer	VERB
fbem-30087	93	20	advanced	advanced	ADJ
fbem-30087	93	21	tools	tool	NOUN
fbem-30087	93	22	for	for	ADP
fbem-30087	93	23	data	datum	NOUN
fbem-30087	93	24	analysis	analysis	NOUN
fbem-30087	93	25	and	and	CCONJ
fbem-30087	93	26	forecasting	forecasting	NOUN
fbem-30087	93	27	.	.	PUNCT
fbem-30087	94	1	these	these	DET
fbem-30087	94	2	technologies	technology	NOUN
fbem-30087	94	3	have	have	AUX
fbem-30087	94	4	empowered	empower	VERB
fbem-30087	94	5	financial	financial	ADJ
fbem-30087	94	6	institutions	institution	NOUN
fbem-30087	94	7	to	to	PART
fbem-30087	94	8	process	process	VERB
fbem-30087	94	9	large	large	ADJ
fbem-30087	94	10	,	,	PUNCT
fbem-30087	94	11	complex	complex	ADJ
fbem-30087	94	12	datasets	dataset	NOUN
fbem-30087	94	13	,	,	PUNCT
fbem-30087	94	14	revealing	reveal	VERB
fbem-30087	94	15	patterns	pattern	NOUN
fbem-30087	94	16	and	and	CCONJ
fbem-30087	94	17	insights	insight	NOUN
fbem-30087	94	18	that	that	SCONJ
fbem-30087	94	19	traditional	traditional	ADJ
fbem-30087	94	20	methods	method	NOUN
fbem-30087	94	21	were	be	AUX
fbem-30087	94	22	unable	unable	ADJ
fbem-30087	94	23	to	to	PART
fbem-30087	94	24	capture	capture	VERB
fbem-30087	94	25	.	.	PUNCT
fbem-30087	95	1	this	this	DET
fbem-30087	95	2	shift	shift	NOUN
fbem-30087	95	3	has	have	AUX
fbem-30087	95	4	improved	improve	VERB
fbem-30087	95	5	the	the	DET
fbem-30087	95	6	precision	precision	NOUN
fbem-30087	95	7	and	and	CCONJ
fbem-30087	95	8	efficiency	efficiency	NOUN
fbem-30087	95	9	of	of	ADP
fbem-30087	95	10	predictions	prediction	NOUN
fbem-30087	95	11	,	,	PUNCT
fbem-30087	95	12	resulting	result	VERB
fbem-30087	95	13	in	in	ADP
fbem-30087	95	14	more	more	ADV
fbem-30087	95	15	effective	effective	ADJ
fbem-30087	95	16	investment	investment	NOUN
fbem-30087	95	17	strategies	strategy	NOUN
fbem-30087	95	18	,	,	PUNCT
fbem-30087	95	19	enhanced	enhance	VERB
fbem-30087	95	20	risk	risk	NOUN
fbem-30087	95	21	management	management	NOUN
fbem-30087	95	22	,	,	PUNCT
fbem-30087	95	23	and	and	CCONJ
fbem-30087	95	24	better	well	ADJ
fbem-30087	95	25	decision	decision	NOUN
fbem-30087	95	26	-	-	PUNCT
fbem-30087	95	27	making	make	VERB
fbem-30087	95	28	capabilities	capability	NOUN
fbem-30087	95	29	.	.	PUNCT
fbem-30087	96	1	while	while	SCONJ
fbem-30087	96	2	linear	linear	ADJ
fbem-30087	96	3	regression	regression	NOUN
fbem-30087	96	4	continues	continue	VERB
fbem-30087	96	5	to	to	PART
fbem-30087	96	6	be	be	AUX
fbem-30087	96	7	a	a	DET
fbem-30087	96	8	fundamental	fundamental	ADJ
fbem-30087	96	9	tool	tool	NOUN
fbem-30087	96	10	for	for	ADP
fbem-30087	96	11	analyzing	analyze	VERB
fbem-30087	96	12	basic	basic	ADJ
fbem-30087	96	13	financial	financial	ADJ
fbem-30087	96	14	relationships	relationship	NOUN
fbem-30087	96	15	,	,	PUNCT
fbem-30087	96	16	its	its	PRON
fbem-30087	96	17	simplicity	simplicity	NOUN
fbem-30087	96	18	can	can	AUX
fbem-30087	96	19	be	be	AUX
fbem-30087	96	20	limiting	limit	VERB
fbem-30087	96	21	when	when	SCONJ
fbem-30087	96	22	addressing	address	VERB
fbem-30087	96	23	the	the	DET
fbem-30087	96	24	complexity	complexity	NOUN
fbem-30087	96	25	of	of	ADP
fbem-30087	96	26	financial	financial	ADJ
fbem-30087	96	27	markets	market	NOUN
fbem-30087	96	28	.	.	PUNCT
fbem-30087	97	1	advanced	advanced	ADJ
fbem-30087	97	2	techniques	technique	NOUN
fbem-30087	97	3	,	,	PUNCT
fbem-30087	97	4	such	such	ADJ
fbem-30087	97	5	as	as	ADP
fbem-30087	97	6	neural	neural	ADJ
fbem-30087	97	7	networks	network	NOUN
fbem-30087	97	8	,	,	PUNCT
fbem-30087	97	9	provide	provide	VERB
fbem-30087	97	10	the	the	DET
fbem-30087	97	11	ability	ability	NOUN
fbem-30087	97	12	to	to	PART
fbem-30087	97	13	handle	handle	VERB
fbem-30087	97	14	non	non	ADJ
fbem-30087	97	15	-	-	ADJ
fbem-30087	97	16	linear	linear	ADJ
fbem-30087	97	17	relationships	relationship	NOUN
fbem-30087	97	18	and	and	CCONJ
fbem-30087	97	19	extract	extract	VERB
fbem-30087	97	20	more	more	ADV
fbem-30087	97	21	detailed	detailed	ADJ
fbem-30087	97	22	insights	insight	NOUN
fbem-30087	97	23	from	from	ADP
fbem-30087	97	24	larger	large	ADJ
fbem-30087	97	25	datasets	dataset	NOUN
fbem-30087	97	26	.	.	PUNCT
fbem-30087	98	1	these	these	DET
fbem-30087	98	2	capabilities	capability	NOUN
fbem-30087	98	3	are	be	AUX
fbem-30087	98	4	particularly	particularly	ADV
fbem-30087	98	5	useful	useful	ADJ
fbem-30087	98	6	for	for	ADP
fbem-30087	98	7	navigating	navigate	VERB
fbem-30087	98	8	the	the	DET
fbem-30087	98	9	dynamic	dynamic	ADJ
fbem-30087	98	10	nature	nature	NOUN
fbem-30087	98	11	of	of	ADP
fbem-30087	98	12	modern	modern	ADJ
fbem-30087	98	13	financial	financial	ADJ
fbem-30087	98	14	markets	market	NOUN
fbem-30087	98	15	,	,	PUNCT
fbem-30087	98	16	where	where	SCONJ
fbem-30087	98	17	non	non	NOUN
fbem-30087	98	18	-	-	NOUN
fbem-30087	98	19	linearities	linearity	NOUN
fbem-30087	98	20	and	and	CCONJ
fbem-30087	98	21	intricate	intricate	ADJ
fbem-30087	98	22	dependencies	dependency	NOUN
fbem-30087	98	23	often	often	ADV
fbem-30087	98	24	drive	drive	VERB
fbem-30087	98	25	market	market	NOUN
fbem-30087	98	26	behaviors	behavior	NOUN
fbem-30087	98	27	that	that	PRON
fbem-30087	98	28	linear	linear	NOUN
fbem-30087	98	29	models	model	NOUN
fbem-30087	98	30	can	can	AUX
fbem-30087	98	31	not	not	PART
fbem-30087	98	32	fully	fully	ADV
fbem-30087	98	33	capture	capture	VERB
fbem-30087	98	34	.	.	PUNCT
fbem-30087	99	1	as	as	SCONJ
fbem-30087	99	2	machine	machine	NOUN
fbem-30087	99	3	learning	learning	NOUN
fbem-30087	99	4	continues	continue	VERB
fbem-30087	99	5	to	to	PART
fbem-30087	99	6	evolve	evolve	VERB
fbem-30087	99	7	in	in	ADP
fbem-30087	99	8	the	the	DET
fbem-30087	99	9	financial	financial	ADJ
fbem-30087	99	10	sector	sector	NOUN
fbem-30087	99	11	,	,	PUNCT
fbem-30087	99	12	it	it	PRON
fbem-30087	99	13	is	be	AUX
fbem-30087	99	14	crucial	crucial	ADJ
fbem-30087	99	15	to	to	PART
fbem-30087	99	16	balance	balance	VERB
fbem-30087	99	17	technological	technological	ADJ
fbem-30087	99	18	progress	progress	NOUN
fbem-30087	99	19	with	with	ADP
fbem-30087	99	20	ethical	ethical	ADJ
fbem-30087	99	21	considerations	consideration	NOUN
fbem-30087	99	22	.	.	PUNCT
fbem-30087	100	1	issues	issue	NOUN
fbem-30087	100	2	such	such	ADJ
fbem-30087	100	3	as	as	ADP
fbem-30087	100	4	algorithmic	algorithmic	ADJ
fbem-30087	100	5	bias	bias	NOUN
fbem-30087	100	6	,	,	PUNCT
fbem-30087	100	7	the	the	DET
fbem-30087	100	8	transparency	transparency	NOUN
fbem-30087	100	9	of	of	ADP
fbem-30087	100	10	decision	decision	NOUN
fbem-30087	100	11	-	-	PUNCT
fbem-30087	100	12	making	make	VERB
fbem-30087	100	13	processes	process	NOUN
fbem-30087	100	14	,	,	PUNCT
fbem-30087	100	15	and	and	CCONJ
fbem-30087	100	16	the	the	DET
fbem-30087	100	17	potential	potential	NOUN
fbem-30087	100	18	for	for	ADP
fbem-30087	100	19	creating	create	VERB
fbem-30087	100	20	market	market	NOUN
fbem-30087	100	21	instability	instability	NOUN
fbem-30087	100	22	need	need	VERB
fbem-30087	100	23	to	to	PART
fbem-30087	100	24	be	be	AUX
fbem-30087	100	25	addressed	address	VERB
fbem-30087	100	26	proactively	proactively	ADV
fbem-30087	100	27	to	to	PART
fbem-30087	100	28	ensure	ensure	VERB
fbem-30087	100	29	that	that	SCONJ
fbem-30087	100	30	these	these	DET
fbem-30087	100	31	technologies	technology	NOUN
fbem-30087	100	32	serve	serve	VERB
fbem-30087	100	33	the	the	DET
fbem-30087	100	34	broader	broad	ADJ
fbem-30087	100	35	public	public	NOUN
fbem-30087	100	36	fairly	fairly	ADV
fbem-30087	100	37	and	and	CCONJ
fbem-30087	100	38	responsibly	responsibly	ADV
fbem-30087	100	39	.	.	PUNCT
fbem-30087	101	1	moreover	moreover	ADV
fbem-30087	101	2	,	,	PUNCT
fbem-30087	101	3	the	the	DET
fbem-30087	101	4	social	social	ADJ
fbem-30087	101	5	impact	impact	NOUN
fbem-30087	101	6	of	of	ADP
fbem-30087	101	7	these	these	DET
fbem-30087	101	8	advancements	advancement	NOUN
fbem-30087	101	9	—	—	PUNCT
fbem-30087	101	10	such	such	ADJ
fbem-30087	101	11	as	as	ADP
fbem-30087	101	12	job	job	NOUN
fbem-30087	101	13	displacement	displacement	NOUN
fbem-30087	101	14	and	and	CCONJ
fbem-30087	101	15	widening	widen	VERB
fbem-30087	101	16	economic	economic	ADJ
fbem-30087	101	17	gaps	gap	NOUN
fbem-30087	101	18	—	—	PUNCT
fbem-30087	101	19	requires	require	VERB
fbem-30087	101	20	attention	attention	NOUN
fbem-30087	101	21	and	and	CCONJ
fbem-30087	101	22	thoughtful	thoughtful	ADJ
fbem-30087	101	23	policy	policy	NOUN
fbem-30087	101	24	solutions	solution	NOUN
fbem-30087	101	25	to	to	PART
fbem-30087	101	26	promote	promote	VERB
fbem-30087	101	27	a	a	DET
fbem-30087	101	28	more	more	ADV
fbem-30087	101	29	inclusive	inclusive	ADJ
fbem-30087	101	30	environment	environment	NOUN
fbem-30087	101	31	.	.	PUNCT
fbem-30087	102	1	by	by	ADP
fbem-30087	102	2	adopting	adopt	VERB
fbem-30087	102	3	machine	machine	NOUN
fbem-30087	102	4	learning	learning	NOUN
fbem-30087	102	5	in	in	ADP
fbem-30087	102	6	a	a	DET
fbem-30087	102	7	responsible	responsible	ADJ
fbem-30087	102	8	manner	manner	NOUN
fbem-30087	102	9	,	,	PUNCT
fbem-30087	102	10	the	the	DET
fbem-30087	102	11	financial	financial	ADJ
fbem-30087	102	12	industry	industry	NOUN
fbem-30087	102	13	can	can	AUX
fbem-30087	102	14	create	create	VERB
fbem-30087	102	15	a	a	DET
fbem-30087	102	16	more	more	ADV
fbem-30087	102	17	efficient	efficient	ADJ
fbem-30087	102	18	,	,	PUNCT
fbem-30087	102	19	equitable	equitable	ADJ
fbem-30087	102	20	,	,	PUNCT
fbem-30087	102	21	and	and	CCONJ
fbem-30087	102	22	robust	robust	ADJ
fbem-30087	102	23	financial	financial	ADJ
fbem-30087	102	24	system	system	NOUN
fbem-30087	102	25	.	.	PUNCT
fbem-30087	103	1	this	this	DET
fbem-30087	103	2	progress	progress	NOUN
fbem-30087	103	3	can	can	AUX
fbem-30087	103	4	benefit	benefit	VERB
fbem-30087	103	5	both	both	DET
fbem-30087	103	6	the	the	DET
fbem-30087	103	7	sector	sector	NOUN
fbem-30087	103	8	itself	itself	PRON
fbem-30087	103	9	and	and	CCONJ
fbem-30087	103	10	society	society	NOUN
fbem-30087	103	11	at	at	ADP
fbem-30087	103	12	large	large	ADJ
fbem-30087	103	13	,	,	PUNCT
fbem-30087	103	14	if	if	SCONJ
fbem-30087	103	15	it	it	PRON
fbem-30087	103	16	is	be	AUX
fbem-30087	103	17	guided	guide	VERB
fbem-30087	103	18	by	by	ADP
fbem-30087	103	19	principles	principle	NOUN
fbem-30087	103	20	of	of	ADP
fbem-30087	103	21	fairness	fairness	NOUN
fbem-30087	103	22	,	,	PUNCT
fbem-30087	103	23	transparency	transparency	NOUN
fbem-30087	103	24	,	,	PUNCT
fbem-30087	103	25	and	and	CCONJ
fbem-30087	103	26	social	social	ADJ
fbem-30087	103	27	responsibility	responsibility	NOUN
fbem-30087	103	28	.	.	PUNCT
fbem-30087	104	1	references	reference	NOUN
fbem-30087	104	2	[	[	X
fbem-30087	104	3	1	1	NUM
fbem-30087	104	4	]	]	PUNCT
fbem-30087	104	5	bommareddy	bommareddy	NOUN
fbem-30087	104	6	,	,	PUNCT
fbem-30087	104	7	s.	s.	PROPN
fbem-30087	104	8	r.	r.	PROPN
fbem-30087	104	9	,	,	PUNCT
fbem-30087	104	10	reddy	reddy	PROPN
fbem-30087	104	11	,	,	PUNCT
fbem-30087	104	12	k.	k.	PROPN
fbem-30087	104	13	s.	s.	PROPN
fbem-30087	104	14	s.	s.	PROPN
fbem-30087	104	15	,	,	PUNCT
fbem-30087	104	16	kaushik	kaushik	PROPN
fbem-30087	104	17	,	,	PUNCT
fbem-30087	104	18	p.	p.	PROPN
fbem-30087	104	19	,	,	PUNCT
fbem-30087	104	20	kumar	kumar	PROPN
fbem-30087	104	21	,	,	PUNCT
fbem-30087	104	22	k.	k.	PROPN
fbem-30087	104	23	v.	v.	PROPN
fbem-30087	104	24	,	,	PUNCT
fbem-30087	104	25	&	&	CCONJ
fbem-30087	104	26	hulipalled	hulipalle	VERB
fbem-30087	104	27	,	,	PUNCT
fbem-30087	104	28	v.	v.	PROPN
fbem-30087	104	29	r.	r.	PROPN
fbem-30087	104	30	(	(	PUNCT
fbem-30087	104	31	2018	2018	NUM
fbem-30087	104	32	)	)	PUNCT
fbem-30087	104	33	.	.	PUNCT
fbem-30087	105	1	predicting	predict	VERB
fbem-30087	105	2	the	the	DET
fbem-30087	105	3	stock	stock	NOUN
fbem-30087	105	4	price	price	NOUN
fbem-30087	105	5	using	use	VERB
fbem-30087	105	6	linear	linear	PROPN
fbem-30087	105	7	regression	regression	NOUN
fbem-30087	105	8	.	.	PUNCT
fbem-30087	106	1	international	international	ADJ
fbem-30087	106	2	journal	journal	NOUN
fbem-30087	106	3	of	of	ADP
fbem-30087	106	4	advanced	advanced	ADJ
fbem-30087	106	5	research	research	NOUN
fbem-30087	106	6	in	in	ADP
fbem-30087	106	7	computer	computer	NOUN
fbem-30087	106	8	science	science	NOUN
fbem-30087	106	9	,	,	PUNCT
fbem-30087	106	10	9	9	NUM
fbem-30087	106	11	,	,	PUNCT
fbem-30087	106	12	81	81	NUM
fbem-30087	106	13	-	-	SYM
fbem-30087	106	14	85	85	NUM
fbem-30087	106	15	.	.	PUNCT
fbem-30087	107	1	[	[	X
fbem-30087	107	2	2	2	NUM
fbem-30087	107	3	]	]	SYM
fbem-30087	107	4	lyu	lyu	NOUN
fbem-30087	107	5	,	,	PUNCT
fbem-30087	107	6	j.	j.	PROPN
fbem-30087	107	7	(	(	PUNCT
fbem-30087	107	8	2023	2023	NUM
fbem-30087	107	9	)	)	PUNCT
fbem-30087	107	10	.	.	PUNCT
fbem-30087	108	1	stock	stock	PROPN
fbem-30087	108	2	daily	daily	ADJ
fbem-30087	108	3	return	return	NOUN
fbem-30087	108	4	prediction	prediction	NOUN
fbem-30087	108	5	of	of	ADP
fbem-30087	108	6	amazon	amazon	NOUN
fbem-30087	108	7	and	and	CCONJ
fbem-30087	108	8	alibaba	alibaba	PROPN
fbem-30087	108	9	using	use	VERB
fbem-30087	108	10	linear	linear	PROPN
fbem-30087	108	11	regression	regression	NOUN
fbem-30087	108	12	and	and	CCONJ
fbem-30087	108	13	lstm	lstm	NOUN
fbem-30087	108	14	.	.	PUNCT
fbem-30087	109	1	bcp	bcp	PROPN
fbem-30087	109	2	business	business	PROPN
fbem-30087	109	3	&	&	CCONJ
fbem-30087	109	4	management	management	PROPN
fbem-30087	109	5	,	,	PUNCT
fbem-30087	109	6	44	44	NUM
fbem-30087	109	7	,	,	PUNCT
fbem-30087	109	8	717	717	NUM
fbem-30087	109	9	-	-	SYM
fbem-30087	109	10	726	726	NUM
fbem-30087	109	11	.	.	PUNCT
fbem-30087	110	1	[	[	X
fbem-30087	110	2	3	3	NUM
fbem-30087	110	3	]	]	X
fbem-30087	110	4	mcmillan	mcmillan	NOUN
fbem-30087	110	5	,	,	PUNCT
fbem-30087	110	6	d.	d.	PROPN
fbem-30087	110	7	(	(	PUNCT
fbem-30087	110	8	2020	2020	NUM
fbem-30087	110	9	)	)	PUNCT
fbem-30087	110	10	.	.	PUNCT
fbem-30087	111	1	forecasting	forecast	VERB
fbem-30087	111	2	u.s	u.s	PROPN
fbem-30087	111	3	.	.	PROPN
fbem-30087	111	4	stock	stock	NOUN
fbem-30087	111	5	returns	return	NOUN
fbem-30087	111	6	.	.	PUNCT
fbem-30087	112	1	the	the	DET
fbem-30087	112	2	european	european	PROPN
fbem-30087	112	3	journal	journal	PROPN
fbem-30087	112	4	of	of	ADP
fbem-30087	112	5	finance	finance	NOUN
fbem-30087	112	6	,	,	PUNCT
fbem-30087	112	7	27	27	NUM
fbem-30087	112	8	,	,	PUNCT
fbem-30087	112	9	86	86	NUM
fbem-30087	112	10	-	-	SYM
fbem-30087	112	11	109	109	NUM
fbem-30087	112	12	.	.	PUNCT
fbem-30087	113	1	[	[	X
fbem-30087	113	2	4	4	NUM
fbem-30087	113	3	]	]	X
fbem-30087	113	4	kazemian	kazemian	NOUN
fbem-30087	113	5	,	,	PUNCT
fbem-30087	113	6	s.	s.	PROPN
fbem-30087	113	7	,	,	PUNCT
fbem-30087	113	8	&	&	CCONJ
fbem-30087	113	9	kazemian	kazemian	PROPN
fbem-30087	113	10	,	,	PUNCT
fbem-30087	113	11	s.	s.	PROPN
fbem-30087	113	12	(	(	PUNCT
fbem-30087	113	13	2012	2012	NUM
fbem-30087	113	14	)	)	PUNCT
fbem-30087	113	15	.	.	PUNCT
fbem-30087	114	1	comparing	compare	VERB
fbem-30087	114	2	accuracy	accuracy	NOUN
fbem-30087	114	3	in	in	ADP
fbem-30087	114	4	predicting	predict	VERB
fbem-30087	114	5	stock	stock	NOUN
fbem-30087	114	6	returns	return	NOUN
fbem-30087	114	7	between	between	ADP
fbem-30087	114	8	using	use	VERB
fbem-30087	114	9	regression	regression	NOUN
fbem-30087	114	10	techniques	technique	NOUN
fbem-30087	114	11	and	and	CCONJ
fbem-30087	114	12	data	datum	NOUN
fbem-30087	114	13	mining	mining	NOUN
fbem-30087	114	14	approach	approach	NOUN
fbem-30087	114	15	.	.	PUNCT
fbem-30087	115	1	african	african	ADJ
fbem-30087	115	2	journal	journal	PROPN
fbem-30087	115	3	of	of	ADP
fbem-30087	115	4	business	business	NOUN
fbem-30087	115	5	management	management	NOUN
fbem-30087	115	6	,	,	PUNCT
fbem-30087	115	7	6(33	6(33	PROPN
fbem-30087	115	8	)	)	PUNCT
fbem-30087	115	9	,	,	PUNCT
fbem-30087	115	10	9437	9437	NUM
fbem-30087	115	11	.	.	PUNCT