id	sid	tid	token	lemma	pos
faba-298	1	1	304	304	NUM
faba-298	1	2	finance	finance	NOUN
faba-298	1	3	,	,	PUNCT
faba-298	1	4	accounting	accounting	NOUN
faba-298	1	5	and	and	CCONJ
faba-298	1	6	business	business	NOUN
faba-298	1	7	analysis	analysis	NOUN
faba-298	1	8	volume	volume	NOUN
faba-298	1	9	7	7	NUM
faba-298	1	10	issue	issue	NOUN
faba-298	1	11	2	2	NUM
faba-298	1	12	,	,	PUNCT
faba-298	1	13	2025	2025	NUM
faba-298	1	14	http://faba.bg/	http://faba.bg/	NOUN
faba-298	1	15	issn	issn	VERB
faba-298	1	16	2603	2603	NUM
faba-298	1	17	-	-	SYM
faba-298	1	18	5324	5324	NUM
faba-298	1	19	doi	doi	NOUN
faba-298	1	20	:	:	PUNCT
faba-298	1	21	https://doi.org/10.37075/faba.2025.2.13	https://doi.org/10.37075/faba.2025.2.13	X
faba-298	1	22	stock	stock	NOUN
faba-298	1	23	price	price	NOUN
faba-298	1	24	forecasting	forecasting	NOUN
faba-298	1	25	using	use	VERB
faba-298	1	26	a	a	DET
faba-298	1	27	time	time	NOUN
faba-298	1	28	-	-	PUNCT
faba-298	1	29	series	series	NOUN
faba-298	1	30	long	long	ADJ
faba-298	1	31	short	short	ADJ
faba-298	1	32	-	-	PUNCT
faba-298	1	33	term	term	NOUN
faba-298	1	34	memory	memory	NOUN
faba-298	1	35	model	model	NOUN
faba-298	1	36	adedeji	adedeji	VERB
faba-298	1	37	daniel	daniel	PROPN
faba-298	1	38	gbadebo	gbadebo	PROPN
faba-298	1	39	department	department	PROPN
faba-298	1	40	of	of	ADP
faba-298	1	41	accounting	accounting	PROPN
faba-298	1	42	science	science	NOUN
faba-298	1	43	,	,	PUNCT
faba-298	1	44	walter	walter	PROPN
faba-298	1	45	sisulu	sisulu	PROPN
faba-298	1	46	university	university	PROPN
faba-298	1	47	,	,	PUNCT
faba-298	1	48	mthatha	mthatha	PROPN
faba-298	1	49	,	,	PUNCT
faba-298	1	50	south	south	PROPN
faba-298	1	51	africa	africa	PROPN
faba-298	1	52	info	info	NOUN
faba-298	1	53	articles	article	NOUN
faba-298	1	54	abstract	abstract	ADJ
faba-298	1	55	history	history	NOUN
faba-298	1	56	article	article	NOUN
faba-298	1	57	:	:	PUNCT
faba-298	1	58	submitted	submit	VERB
faba-298	1	59	:	:	PUNCT
faba-298	1	60	16	16	NUM
faba-298	1	61	september	september	PROPN
faba-298	1	62	2025	2025	NUM
faba-298	1	63	revised	revise	VERB
faba-298	1	64	:	:	PUNCT
faba-298	1	65	13	13	NUM
faba-298	1	66	november	november	NOUN
faba-298	1	67	2025	2025	NUM
faba-298	1	68	accepted	accept	VERB
faba-298	1	69	:	:	PUNCT
faba-298	1	70	6	6	NUM
faba-298	1	71	december	december	PROPN
faba-298	1	72	2025	2025	NUM
faba-298	1	73	purpose	purpose	NOUN
faba-298	1	74	:	:	PUNCT
faba-298	1	75	this	this	DET
faba-298	1	76	study	study	NOUN
faba-298	1	77	aims	aim	VERB
faba-298	1	78	to	to	PART
faba-298	1	79	introduce	introduce	VERB
faba-298	1	80	and	and	CCONJ
faba-298	1	81	evaluate	evaluate	VERB
faba-298	1	82	a	a	DET
faba-298	1	83	novel	novel	ADJ
faba-298	1	84	application	application	NOUN
faba-298	1	85	of	of	ADP
faba-298	1	86	long	long	ADJ
faba-298	1	87	short	short	ADJ
faba-298	1	88	-	-	PUNCT
faba-298	1	89	term	term	NOUN
faba-298	1	90	memory	memory	NOUN
faba-298	1	91	(	(	PUNCT
faba-298	1	92	lstm	lstm	NOUN
faba-298	1	93	)	)	PUNCT
faba-298	1	94	networks	network	NOUN
faba-298	1	95	for	for	ADP
faba-298	1	96	stock	stock	NOUN
faba-298	1	97	price	price	NOUN
faba-298	1	98	forecasting	forecasting	NOUN
faba-298	1	99	by	by	ADP
faba-298	1	100	integrating	integrate	VERB
faba-298	1	101	multi	multi	ADJ
faba-298	1	102	-	-	ADJ
faba-298	1	103	stock	stock	ADJ
faba-298	1	104	comparative	comparative	ADJ
faba-298	1	105	analysis	analysis	NOUN
faba-298	1	106	across	across	ADP
faba-298	1	107	different	different	ADJ
faba-298	1	108	volatility	volatility	NOUN
faba-298	1	109	regimes	regime	NOUN
faba-298	1	110	,	,	PUNCT
faba-298	1	111	addressing	address	VERB
faba-298	1	112	a	a	DET
faba-298	1	113	key	key	ADJ
faba-298	1	114	gap	gap	NOUN
faba-298	1	115	in	in	ADP
faba-298	1	116	the	the	DET
faba-298	1	117	literature	literature	NOUN
faba-298	1	118	regarding	regard	VERB
faba-298	1	119	model	model	NOUN
faba-298	1	120	robustness	robustness	NOUN
faba-298	1	121	and	and	CCONJ
faba-298	1	122	generalizability	generalizability	NOUN
faba-298	1	123	.	.	PUNCT
faba-298	2	1	design	design	NOUN
faba-298	2	2	/	/	SYM
faba-298	2	3	methodology	methodology	NOUN
faba-298	2	4	/	/	SYM
faba-298	2	5	approach	approach	NOUN
faba-298	2	6	:	:	PUNCT
faba-298	2	7	using	use	VERB
faba-298	2	8	a	a	DET
faba-298	2	9	time	time	NOUN
faba-298	2	10	-	-	PUNCT
faba-298	2	11	series	series	NOUN
faba-298	2	12	covering	cover	VERB
faba-298	2	13	2019	2019	NUM
faba-298	2	14	–	–	PUNCT
faba-298	2	15	2023	2023	NUM
faba-298	2	16	,	,	PUNCT
faba-298	2	17	the	the	DET
faba-298	2	18	study	study	NOUN
faba-298	2	19	implements	implement	VERB
faba-298	2	20	an	an	DET
faba-298	2	21	lstm	lstm	NOUN
faba-298	2	22	model	model	NOUN
faba-298	2	23	within	within	ADP
faba-298	2	24	a	a	DET
faba-298	2	25	python	python	NOUN
faba-298	2	26	-	-	PUNCT
faba-298	2	27	based	base	VERB
faba-298	2	28	framework	framework	NOUN
faba-298	2	29	.	.	PUNCT
faba-298	3	1	the	the	DET
faba-298	3	2	model	model	NOUN
faba-298	3	3	is	be	AUX
faba-298	3	4	trained	train	VERB
faba-298	3	5	on	on	ADP
faba-298	3	6	data	datum	NOUN
faba-298	3	7	from	from	ADP
faba-298	3	8	01/01/2022	01/01/2022	NUM
faba-298	3	9	to	to	ADP
faba-298	3	10	12/31/2023	12/31/2023	NUM
faba-298	3	11	and	and	CCONJ
faba-298	3	12	tested	test	VERB
faba-298	3	13	on	on	ADP
faba-298	3	14	01/01/2019	01/01/2019	NUM
faba-298	3	15	to	to	ADP
faba-298	3	16	12/31/2021	12/31/2021	NUM
faba-298	3	17	.	.	PUNCT
faba-298	4	1	mean	mean	VERB
faba-298	4	2	squared	square	VERB
faba-298	4	3	error	error	NOUN
faba-298	4	4	is	be	AUX
faba-298	4	5	employed	employ	VERB
faba-298	4	6	as	as	ADP
faba-298	4	7	the	the	DET
faba-298	4	8	primary	primary	ADJ
faba-298	4	9	evaluation	evaluation	NOUN
faba-298	4	10	metric	metric	ADJ
faba-298	4	11	to	to	PART
faba-298	4	12	assess	assess	VERB
faba-298	4	13	forecasting	forecasting	NOUN
faba-298	4	14	accuracy	accuracy	NOUN
faba-298	4	15	across	across	ADP
faba-298	4	16	heterogeneous	heterogeneous	ADJ
faba-298	4	17	stocks	stock	NOUN
faba-298	4	18	.	.	PUNCT
faba-298	5	1	findings	finding	NOUN
faba-298	5	2	:	:	PUNCT
faba-298	5	3	empirical	empirical	ADJ
faba-298	5	4	results	result	NOUN
faba-298	5	5	show	show	VERB
faba-298	5	6	that	that	SCONJ
faba-298	5	7	the	the	DET
faba-298	5	8	lstm	lstm	PROPN
faba-298	5	9	model	model	NOUN
faba-298	5	10	effectively	effectively	ADV
faba-298	5	11	captures	capture	VERB
faba-298	5	12	complex	complex	ADJ
faba-298	5	13	temporal	temporal	ADJ
faba-298	5	14	dependencies	dependency	NOUN
faba-298	5	15	and	and	CCONJ
faba-298	5	16	nonlinear	nonlinear	ADJ
faba-298	5	17	patterns	pattern	NOUN
faba-298	5	18	in	in	ADP
faba-298	5	19	financial	financial	ADJ
faba-298	5	20	time	time	NOUN
faba-298	5	21	series	series	NOUN
faba-298	5	22	,	,	PUNCT
faba-298	5	23	producing	produce	VERB
faba-298	5	24	reliable	reliable	ADJ
faba-298	5	25	stock	stock	NOUN
faba-298	5	26	price	price	NOUN
faba-298	5	27	forecasts	forecast	NOUN
faba-298	5	28	.	.	PUNCT
faba-298	6	1	it	it	PRON
faba-298	6	2	outperforms	outperform	VERB
faba-298	6	3	conventional	conventional	ADJ
faba-298	6	4	time	time	NOUN
faba-298	6	5	-	-	PUNCT
faba-298	6	6	series	series	NOUN
faba-298	6	7	benchmarks	benchmark	NOUN
faba-298	6	8	and	and	CCONJ
faba-298	6	9	demonstrates	demonstrate	VERB
faba-298	6	10	strong	strong	ADJ
faba-298	6	11	adaptability	adaptability	NOUN
faba-298	6	12	across	across	ADP
faba-298	6	13	stocks	stock	NOUN
faba-298	6	14	with	with	ADP
faba-298	6	15	differing	differ	VERB
faba-298	6	16	volatility	volatility	NOUN
faba-298	6	17	characteristics	characteristic	NOUN
faba-298	6	18	.	.	PUNCT
faba-298	7	1	practical	practical	ADJ
faba-298	7	2	implications	implication	NOUN
faba-298	7	3	:	:	PUNCT
faba-298	7	4	for	for	ADP
faba-298	7	5	investors	investor	NOUN
faba-298	7	6	,	,	PUNCT
faba-298	7	7	lstm	lstm	NOUN
faba-298	7	8	-	-	PUNCT
faba-298	7	9	based	base	VERB
faba-298	7	10	forecasts	forecast	NOUN
faba-298	7	11	provide	provide	VERB
faba-298	7	12	deeper	deep	ADJ
faba-298	7	13	insights	insight	NOUN
faba-298	7	14	into	into	ADP
faba-298	7	15	risk	risk	NOUN
faba-298	7	16	–	–	PUNCT
faba-298	7	17	return	return	NOUN
faba-298	7	18	dynamics	dynamic	NOUN
faba-298	7	19	and	and	CCONJ
faba-298	7	20	support	support	VERB
faba-298	7	21	more	more	ADV
faba-298	7	22	informed	informed	ADJ
faba-298	7	23	,	,	PUNCT
faba-298	7	24	data	data	NOUN
faba-298	7	25	-	-	PUNCT
faba-298	7	26	driven	drive	VERB
faba-298	7	27	investment	investment	NOUN
faba-298	7	28	strategies	strategy	NOUN
faba-298	7	29	.	.	PUNCT
faba-298	8	1	for	for	ADP
faba-298	8	2	policymakers	policymaker	NOUN
faba-298	8	3	,	,	PUNCT
faba-298	8	4	the	the	DET
faba-298	8	5	results	result	NOUN
faba-298	8	6	highlight	highlight	VERB
faba-298	8	7	the	the	DET
faba-298	8	8	increasing	increase	VERB
faba-298	8	9	importance	importance	NOUN
faba-298	8	10	of	of	ADP
faba-298	8	11	machine	machine	NOUN
faba-298	8	12	learning	learning	NOUN
faba-298	8	13	tools	tool	NOUN
faba-298	8	14	in	in	ADP
faba-298	8	15	enhancing	enhance	VERB
faba-298	8	16	transparency	transparency	NOUN
faba-298	8	17	,	,	PUNCT
faba-298	8	18	stability	stability	NOUN
faba-298	8	19	,	,	PUNCT
faba-298	8	20	and	and	CCONJ
faba-298	8	21	efficiency	efficiency	NOUN
faba-298	8	22	in	in	ADP
faba-298	8	23	financial	financial	ADJ
faba-298	8	24	markets	market	NOUN
faba-298	8	25	.	.	PUNCT
faba-298	9	1	originality	originality	NOUN
faba-298	9	2	/	/	SYM
faba-298	9	3	value	value	NOUN
faba-298	9	4	:	:	PUNCT
faba-298	9	5	the	the	DET
faba-298	9	6	study	study	NOUN
faba-298	9	7	offers	offer	VERB
faba-298	9	8	a	a	DET
faba-298	9	9	unique	unique	ADJ
faba-298	9	10	contribution	contribution	NOUN
faba-298	9	11	by	by	ADP
faba-298	9	12	demonstrating	demonstrate	VERB
faba-298	9	13	that	that	SCONJ
faba-298	9	14	a	a	DET
faba-298	9	15	unified	unified	ADJ
faba-298	9	16	lstm	lstm	NOUN
faba-298	9	17	framework	framework	NOUN
faba-298	9	18	can	can	AUX
faba-298	9	19	generalize	generalize	VERB
faba-298	9	20	across	across	ADP
faba-298	9	21	multiple	multiple	ADJ
faba-298	9	22	stocks	stock	NOUN
faba-298	9	23	and	and	CCONJ
faba-298	9	24	volatility	volatility	NOUN
faba-298	9	25	regimes	regime	NOUN
faba-298	9	26	,	,	PUNCT
faba-298	9	27	establishing	establish	VERB
faba-298	9	28	both	both	PRON
faba-298	9	29	its	its	PRON
faba-298	9	30	theoretical	theoretical	ADJ
faba-298	9	31	relevance	relevance	NOUN
faba-298	9	32	and	and	CCONJ
faba-298	9	33	practical	practical	ADJ
faba-298	9	34	utility	utility	NOUN
faba-298	9	35	in	in	ADP
faba-298	9	36	algorithmic	algorithmic	ADJ
faba-298	9	37	trading	trading	NOUN
faba-298	9	38	and	and	CCONJ
faba-298	9	39	financial	financial	ADJ
faba-298	9	40	forecasting	forecasting	NOUN
faba-298	9	41	.	.	PUNCT
faba-298	10	1	keywords	keyword	NOUN
faba-298	10	2	:	:	PUNCT
faba-298	10	3	stock	stock	NOUN
faba-298	10	4	price	price	NOUN
faba-298	10	5	,	,	PUNCT
faba-298	10	6	lstm	lstm	NOUN
faba-298	10	7	,	,	PUNCT
faba-298	10	8	prediction	prediction	NOUN
faba-298	10	9	accuracy	accuracy	NOUN
faba-298	10	10	,	,	PUNCT
faba-298	10	11	pythonbased	pythonbase	VERB
faba-298	10	12	implementation	implementation	NOUN
faba-298	10	13	jel	jel	PROPN
faba-298	10	14	:	:	PUNCT
faba-298	10	15	g17	g17	PROPN
faba-298	10	16	,	,	PUNCT
faba-298	10	17	c45	c45	PROPN
faba-298	10	18	,	,	PUNCT
faba-298	10	19	c53	c53	NOUN
faba-298	10	20	,	,	PUNCT
faba-298	10	21	g14	g14	ADJ
faba-298	10	22	address	address	NOUN
faba-298	10	23	correspondence	correspondence	NOUN
faba-298	10	24	:	:	PUNCT
faba-298	11	1	e	e	X
faba-298	11	2	-	-	NOUN
faba-298	11	3	mail	mail	NOUN
faba-298	11	4	:	:	PUNCT
faba-298	11	5	agbadebo@wsu.ac.za	agbadebo@wsu.ac.za	PROPN
faba-298	11	6	http://faba.bg/	http://faba.bg/	PROPN
faba-298	11	7	https://doi.org/10.37075/faba.2025.2.13	https://doi.org/10.37075/faba.2025.2.13	PUNCT
faba-298	11	8	mailto:agbadebo@wsu.ac.za	mailto:agbadebo@wsu.ac.za	PROPN
faba-298	11	9	https://orcid.org/0000-0002-1929-3291	https://orcid.org/0000-0002-1929-3291	PROPN
faba-298	11	10	adedeji	adedeji	VERB
faba-298	11	11	daniel	daniel	PROPN
faba-298	11	12	gbadebo	gbadebo	PROPN
faba-298	11	13	/	/	SYM
faba-298	11	14	finance	finance	PROPN
faba-298	11	15	,	,	PUNCT
faba-298	11	16	accounting	accounting	NOUN
faba-298	11	17	and	and	CCONJ
faba-298	11	18	business	business	NOUN
faba-298	11	19	analysis	analysis	NOUN
faba-298	11	20	,	,	PUNCT
faba-298	11	21	volume	volume	NOUN
faba-298	11	22	7	7	NUM
faba-298	11	23	,	,	PUNCT
faba-298	11	24	issue	issue	NOUN
faba-298	11	25	2	2	NUM
faba-298	11	26	,	,	PUNCT
faba-298	11	27	2025	2025	NUM
faba-298	11	28	305	305	NUM
faba-298	11	29	introduction	introduction	NOUN
faba-298	11	30	accurately	accurately	ADV
faba-298	11	31	forecasting	forecast	VERB
faba-298	11	32	stock	stock	NOUN
faba-298	11	33	prices	price	NOUN
faba-298	11	34	remains	remain	VERB
faba-298	11	35	a	a	DET
faba-298	11	36	significant	significant	ADJ
faba-298	11	37	challenge	challenge	NOUN
faba-298	11	38	for	for	ADP
faba-298	11	39	investors	investor	NOUN
faba-298	11	40	and	and	CCONJ
faba-298	11	41	financial	financial	ADJ
faba-298	11	42	institutions	institution	NOUN
faba-298	11	43	.	.	PUNCT
faba-298	12	1	financial	financial	ADJ
faba-298	12	2	markets	market	NOUN
faba-298	12	3	are	be	AUX
faba-298	12	4	inherently	inherently	ADV
faba-298	12	5	volatile	volatile	ADJ
faba-298	12	6	and	and	CCONJ
faba-298	12	7	shaped	shape	VERB
faba-298	12	8	by	by	ADP
faba-298	12	9	diverse	diverse	ADJ
faba-298	12	10	factors	factor	NOUN
faba-298	12	11	,	,	PUNCT
faba-298	12	12	including	include	VERB
faba-298	12	13	macroeconomic	macroeconomic	ADJ
faba-298	12	14	trends	trend	NOUN
faba-298	12	15	and	and	CCONJ
faba-298	12	16	firm	firm	ADJ
faba-298	12	17	-	-	PUNCT
faba-298	12	18	specific	specific	ADJ
faba-298	12	19	events	event	NOUN
faba-298	12	20	,	,	PUNCT
faba-298	12	21	which	which	PRON
faba-298	12	22	often	often	ADV
faba-298	12	23	render	render	VERB
faba-298	12	24	traditional	traditional	ADJ
faba-298	12	25	time	time	NOUN
faba-298	12	26	series	series	PROPN
faba-298	12	27	methods	method	NOUN
faba-298	12	28	insufficient	insufficient	ADJ
faba-298	12	29	.	.	PUNCT
faba-298	13	1	these	these	DET
faba-298	13	2	classical	classical	ADJ
faba-298	13	3	approaches	approach	NOUN
faba-298	13	4	frequently	frequently	ADV
faba-298	13	5	struggle	struggle	VERB
faba-298	13	6	to	to	PART
faba-298	13	7	model	model	VERB
faba-298	13	8	the	the	DET
faba-298	13	9	nonlinearities	nonlinearitie	NOUN
faba-298	13	10	and	and	CCONJ
faba-298	13	11	long	long	ADJ
faba-298	13	12	-	-	PUNCT
faba-298	13	13	term	term	NOUN
faba-298	13	14	dependencies	dependency	NOUN
faba-298	13	15	characteristic	characteristic	ADJ
faba-298	13	16	of	of	ADP
faba-298	13	17	financial	financial	ADJ
faba-298	13	18	data	datum	NOUN
faba-298	13	19	.	.	PUNCT
faba-298	14	1	the	the	DET
faba-298	14	2	emergence	emergence	NOUN
faba-298	14	3	of	of	ADP
faba-298	14	4	deep	deep	ADJ
faba-298	14	5	learning	learning	NOUN
faba-298	14	6	,	,	PUNCT
faba-298	14	7	particularly	particularly	ADV
faba-298	14	8	complex	complex	ADJ
faba-298	14	9	neural	neural	ADJ
faba-298	14	10	network	network	NOUN
faba-298	14	11	architectures	architecture	NOUN
faba-298	14	12	,	,	PUNCT
faba-298	14	13	has	have	AUX
faba-298	14	14	provided	provide	VERB
faba-298	14	15	new	new	ADJ
faba-298	14	16	opportunities	opportunity	NOUN
faba-298	14	17	to	to	PART
faba-298	14	18	address	address	VERB
faba-298	14	19	these	these	DET
faba-298	14	20	difficulties	difficulty	NOUN
faba-298	14	21	.	.	PUNCT
faba-298	15	1	reliable	reliable	ADJ
faba-298	15	2	stock	stock	NOUN
faba-298	15	3	price	price	NOUN
faba-298	15	4	prediction	prediction	NOUN
faba-298	15	5	is	be	AUX
faba-298	15	6	essential	essential	ADJ
faba-298	15	7	for	for	ADP
faba-298	15	8	guiding	guide	VERB
faba-298	15	9	investment	investment	NOUN
faba-298	15	10	choices	choice	NOUN
faba-298	15	11	,	,	PUNCT
faba-298	15	12	as	as	SCONJ
faba-298	15	13	a	a	DET
faba-298	15	14	robust	robust	ADJ
faba-298	15	15	predictive	predictive	ADJ
faba-298	15	16	model	model	NOUN
faba-298	15	17	can	can	AUX
faba-298	15	18	evaluate	evaluate	VERB
faba-298	15	19	both	both	DET
faba-298	15	20	risks	risk	NOUN
faba-298	15	21	and	and	CCONJ
faba-298	15	22	potential	potential	ADJ
faba-298	15	23	returns	return	NOUN
faba-298	15	24	.	.	PUNCT
faba-298	16	1	a	a	DET
faba-298	16	2	forecasted	forecast	VERB
faba-298	16	3	price	price	NOUN
faba-298	16	4	increase	increase	NOUN
faba-298	16	5	may	may	AUX
faba-298	16	6	indicate	indicate	VERB
faba-298	16	7	a	a	DET
faba-298	16	8	buying	buying	NOUN
faba-298	16	9	opportunity	opportunity	NOUN
faba-298	16	10	for	for	ADP
faba-298	16	11	investors	investor	NOUN
faba-298	16	12	willing	willing	ADJ
faba-298	16	13	to	to	PART
faba-298	16	14	accept	accept	VERB
faba-298	16	15	higher	high	ADJ
faba-298	16	16	risk	risk	NOUN
faba-298	16	17	,	,	PUNCT
faba-298	16	18	while	while	SCONJ
faba-298	16	19	a	a	DET
faba-298	16	20	predicted	predict	VERB
faba-298	16	21	decline	decline	NOUN
faba-298	16	22	may	may	AUX
faba-298	16	23	suggest	suggest	VERB
faba-298	16	24	caution	caution	NOUN
faba-298	16	25	(	(	PUNCT
faba-298	16	26	shao	shao	PROPN
faba-298	16	27	&	&	CCONJ
faba-298	16	28	soong	soong	PROPN
faba-298	16	29	,	,	PUNCT
faba-298	16	30	2016	2016	NUM
faba-298	16	31	)	)	PUNCT
faba-298	16	32	.	.	PUNCT
faba-298	17	1	thus	thus	ADV
faba-298	17	2	,	,	PUNCT
faba-298	17	3	accurate	accurate	ADJ
faba-298	17	4	predictions	prediction	NOUN
faba-298	17	5	help	help	VERB
faba-298	17	6	shape	shape	VERB
faba-298	17	7	strategies	strategy	NOUN
faba-298	17	8	aligned	align	VERB
faba-298	17	9	with	with	ADP
faba-298	17	10	individual	individual	ADJ
faba-298	17	11	risk	risk	NOUN
faba-298	17	12	tolerance	tolerance	NOUN
faba-298	17	13	and	and	CCONJ
faba-298	17	14	financial	financial	ADJ
faba-298	17	15	objectives	objective	NOUN
faba-298	17	16	.	.	PUNCT
faba-298	18	1	despite	despite	SCONJ
faba-298	18	2	the	the	DET
faba-298	18	3	proliferation	proliferation	NOUN
faba-298	18	4	of	of	ADP
faba-298	18	5	forecasting	forecasting	NOUN
faba-298	18	6	models	model	NOUN
faba-298	18	7	,	,	PUNCT
faba-298	18	8	a	a	DET
faba-298	18	9	major	major	ADJ
faba-298	18	10	empirical	empirical	ADJ
faba-298	18	11	challenge	challenge	NOUN
faba-298	18	12	persists	persist	VERB
faba-298	18	13	:	:	PUNCT
faba-298	18	14	achieving	achieve	VERB
faba-298	18	15	consistent	consistent	ADJ
faba-298	18	16	predictive	predictive	ADJ
faba-298	18	17	accuracy	accuracy	NOUN
faba-298	18	18	across	across	ADP
faba-298	18	19	assets	asset	NOUN
faba-298	18	20	that	that	PRON
faba-298	18	21	exhibit	exhibit	VERB
faba-298	18	22	different	different	ADJ
faba-298	18	23	volatility	volatility	NOUN
faba-298	18	24	patterns	pattern	NOUN
faba-298	18	25	and	and	CCONJ
faba-298	18	26	market	market	NOUN
faba-298	18	27	dynamics	dynamic	NOUN
faba-298	18	28	.	.	PUNCT
faba-298	19	1	much	much	ADJ
faba-298	19	2	of	of	ADP
faba-298	19	3	the	the	DET
faba-298	19	4	existing	exist	VERB
faba-298	19	5	literature	literature	NOUN
faba-298	19	6	applies	apply	VERB
faba-298	19	7	long	long	ADJ
faba-298	19	8	short	short	ADJ
faba-298	19	9	-	-	PUNCT
faba-298	19	10	term	term	NOUN
faba-298	19	11	memory	memory	NOUN
faba-298	19	12	(	(	PUNCT
faba-298	19	13	lstm	lstm	NOUN
faba-298	19	14	)	)	PUNCT
faba-298	19	15	networks	network	NOUN
faba-298	19	16	to	to	ADP
faba-298	19	17	individual	individual	ADJ
faba-298	19	18	stocks	stock	NOUN
faba-298	19	19	or	or	CCONJ
faba-298	19	20	narrowly	narrowly	ADV
faba-298	19	21	defined	define	VERB
faba-298	19	22	datasets	dataset	NOUN
faba-298	19	23	,	,	PUNCT
faba-298	19	24	leaving	leave	VERB
faba-298	19	25	open	open	ADJ
faba-298	19	26	questions	question	NOUN
faba-298	19	27	about	about	ADP
faba-298	19	28	their	their	PRON
faba-298	19	29	generalizability	generalizability	NOUN
faba-298	19	30	to	to	PART
faba-298	19	31	diverse	diverse	VERB
faba-298	19	32	financial	financial	ADJ
faba-298	19	33	instruments	instrument	NOUN
faba-298	19	34	.	.	PUNCT
faba-298	20	1	this	this	DET
faba-298	20	2	study	study	NOUN
faba-298	20	3	seeks	seek	VERB
faba-298	20	4	to	to	PART
faba-298	20	5	close	close	VERB
faba-298	20	6	this	this	DET
faba-298	20	7	gap	gap	NOUN
faba-298	20	8	by	by	ADP
faba-298	20	9	assessing	assess	VERB
faba-298	20	10	the	the	DET
faba-298	20	11	performance	performance	NOUN
faba-298	20	12	of	of	ADP
faba-298	20	13	an	an	DET
faba-298	20	14	lstm	lstm	NOUN
faba-298	20	15	framework	framework	NOUN
faba-298	20	16	across	across	ADP
faba-298	20	17	multiple	multiple	ADJ
faba-298	20	18	major	major	ADJ
faba-298	20	19	stocks	stock	NOUN
faba-298	20	20	that	that	PRON
faba-298	20	21	differ	differ	VERB
faba-298	20	22	in	in	ADP
faba-298	20	23	stability	stability	NOUN
faba-298	20	24	and	and	CCONJ
faba-298	20	25	risk	risk	NOUN
faba-298	20	26	,	,	PUNCT
faba-298	20	27	allowing	allow	VERB
faba-298	20	28	for	for	ADP
faba-298	20	29	a	a	DET
faba-298	20	30	more	more	ADV
faba-298	20	31	rigorous	rigorous	ADJ
faba-298	20	32	evaluation	evaluation	NOUN
faba-298	20	33	of	of	ADP
faba-298	20	34	model	model	NOUN
faba-298	20	35	robustness	robustness	NOUN
faba-298	20	36	and	and	CCONJ
faba-298	20	37	adaptability	adaptability	NOUN
faba-298	20	38	.	.	PUNCT
faba-298	21	1	lstm	lstm	NOUN
faba-298	21	2	networks	network	NOUN
faba-298	21	3	have	have	AUX
faba-298	21	4	been	be	AUX
faba-298	21	5	widely	widely	ADV
faba-298	21	6	recognized	recognize	VERB
faba-298	21	7	as	as	ADP
faba-298	21	8	a	a	DET
faba-298	21	9	promising	promising	ADJ
faba-298	21	10	solution	solution	NOUN
faba-298	21	11	for	for	ADP
faba-298	21	12	financial	financial	ADJ
faba-298	21	13	time	time	NOUN
faba-298	21	14	series	series	PROPN
faba-298	21	15	modeling	modeling	PROPN
faba-298	21	16	.	.	PUNCT
faba-298	22	1	designed	design	VERB
faba-298	22	2	to	to	PART
faba-298	22	3	capture	capture	VERB
faba-298	22	4	long	long	ADJ
faba-298	22	5	-	-	PUNCT
faba-298	22	6	term	term	NOUN
faba-298	22	7	dependencies	dependency	NOUN
faba-298	22	8	in	in	ADP
faba-298	22	9	sequential	sequential	ADJ
faba-298	22	10	data	datum	NOUN
faba-298	22	11	,	,	PUNCT
faba-298	22	12	lstms	lstms	NOUN
faba-298	22	13	overcome	overcome	VERB
faba-298	22	14	the	the	DET
faba-298	22	15	vanishing	vanish	VERB
faba-298	22	16	gradient	gradient	NOUN
faba-298	22	17	limitations	limitation	NOUN
faba-298	22	18	of	of	ADP
faba-298	22	19	traditional	traditional	ADJ
faba-298	22	20	rnns	rnn	NOUN
faba-298	22	21	through	through	ADP
faba-298	22	22	their	their	PRON
faba-298	22	23	distinctive	distinctive	ADJ
faba-298	22	24	memory	memory	NOUN
faba-298	22	25	cell	cell	NOUN
faba-298	22	26	architecture	architecture	NOUN
faba-298	22	27	.	.	PUNCT
faba-298	23	1	this	this	PRON
faba-298	23	2	enables	enable	VERB
faba-298	23	3	them	they	PRON
faba-298	23	4	to	to	PART
faba-298	23	5	retain	retain	VERB
faba-298	23	6	relevant	relevant	ADJ
faba-298	23	7	information	information	NOUN
faba-298	23	8	over	over	ADP
faba-298	23	9	extended	extended	ADJ
faba-298	23	10	periods	period	NOUN
faba-298	23	11	and	and	CCONJ
faba-298	23	12	uncover	uncover	VERB
faba-298	23	13	underlying	underlie	VERB
faba-298	23	14	temporal	temporal	ADJ
faba-298	23	15	patterns	pattern	NOUN
faba-298	23	16	that	that	PRON
faba-298	23	17	influence	influence	VERB
faba-298	23	18	future	future	ADJ
faba-298	23	19	price	price	NOUN
faba-298	23	20	movements	movement	NOUN
faba-298	23	21	.	.	PUNCT
faba-298	24	1	joosery	joosery	NOUN
faba-298	24	2	and	and	CCONJ
faba-298	24	3	deepa	deepa	PROPN
faba-298	24	4	(	(	PUNCT
faba-298	24	5	2019	2019	NUM
faba-298	24	6	)	)	PUNCT
faba-298	24	7	note	note	VERB
faba-298	24	8	that	that	SCONJ
faba-298	24	9	while	while	SCONJ
faba-298	24	10	lstms	lstms	NOUN
faba-298	24	11	have	have	AUX
faba-298	24	12	shown	show	VERB
faba-298	24	13	success	success	NOUN
faba-298	24	14	in	in	ADP
faba-298	24	15	numerous	numerous	ADJ
faba-298	24	16	domains	domain	NOUN
faba-298	24	17	,	,	PUNCT
faba-298	24	18	their	their	PRON
faba-298	24	19	application	application	NOUN
faba-298	24	20	to	to	ADP
faba-298	24	21	the	the	DET
faba-298	24	22	volatile	volatile	ADJ
faba-298	24	23	stock	stock	NOUN
faba-298	24	24	market	market	NOUN
faba-298	24	25	requires	require	VERB
faba-298	24	26	careful	careful	ADJ
faba-298	24	27	model	model	NOUN
faba-298	24	28	tuning	tuning	NOUN
faba-298	24	29	.	.	PUNCT
faba-298	25	1	similarly	similarly	ADV
faba-298	25	2	,	,	PUNCT
faba-298	25	3	zeng	zeng	PROPN
faba-298	25	4	and	and	CCONJ
faba-298	25	5	liu	liu	PROPN
faba-298	25	6	(	(	PUNCT
faba-298	25	7	2018	2018	NUM
faba-298	25	8	)	)	PUNCT
faba-298	25	9	emphasize	emphasize	VERB
faba-298	25	10	the	the	DET
faba-298	25	11	persistent	persistent	ADJ
faba-298	25	12	difficulty	difficulty	NOUN
faba-298	25	13	of	of	ADP
faba-298	25	14	stock	stock	NOUN
faba-298	25	15	price	price	NOUN
faba-298	25	16	prediction	prediction	NOUN
faba-298	25	17	and	and	CCONJ
faba-298	25	18	highlight	highlight	VERB
faba-298	25	19	the	the	DET
faba-298	25	20	importance	importance	NOUN
faba-298	25	21	of	of	ADP
faba-298	25	22	advanced	advanced	ADJ
faba-298	25	23	methods	method	NOUN
faba-298	25	24	such	such	ADJ
faba-298	25	25	as	as	ADP
faba-298	25	26	lstm	lstm	NOUN
faba-298	25	27	for	for	ADP
faba-298	25	28	addressing	address	VERB
faba-298	25	29	the	the	DET
faba-298	25	30	complexities	complexity	NOUN
faba-298	25	31	inherent	inherent	ADJ
faba-298	25	32	in	in	ADP
faba-298	25	33	financial	financial	ADJ
faba-298	25	34	markets	market	NOUN
faba-298	25	35	.	.	PUNCT
faba-298	26	1	existing	exist	VERB
faba-298	26	2	research	research	NOUN
faba-298	26	3	often	often	ADV
faba-298	26	4	prioritizes	prioritize	VERB
faba-298	26	5	technical	technical	ADJ
faba-298	26	6	improvements	improvement	NOUN
faba-298	26	7	in	in	ADP
faba-298	26	8	predictive	predictive	ADJ
faba-298	26	9	models	model	NOUN
faba-298	26	10	without	without	ADP
faba-298	26	11	fully	fully	ADV
faba-298	26	12	addressing	address	VERB
faba-298	26	13	broader	broad	ADJ
faba-298	26	14	implications	implication	NOUN
faba-298	26	15	for	for	ADP
faba-298	26	16	investment	investment	NOUN
faba-298	26	17	strategy	strategy	NOUN
faba-298	26	18	and	and	CCONJ
faba-298	26	19	policy	policy	NOUN
faba-298	26	20	.	.	PUNCT
faba-298	27	1	this	this	DET
faba-298	27	2	study	study	NOUN
faba-298	27	3	bridges	bridge	NOUN
faba-298	27	4	that	that	PRON
faba-298	27	5	gap	gap	NOUN
faba-298	27	6	by	by	ADP
faba-298	27	7	connecting	connect	VERB
faba-298	27	8	the	the	DET
faba-298	27	9	performance	performance	NOUN
faba-298	27	10	of	of	ADP
faba-298	27	11	lstm	lstm	NOUN
faba-298	27	12	models	model	NOUN
faba-298	27	13	to	to	ADP
faba-298	27	14	their	their	PRON
faba-298	27	15	practical	practical	ADJ
faba-298	27	16	value	value	NOUN
faba-298	27	17	for	for	ADP
faba-298	27	18	investors	investor	NOUN
faba-298	27	19	,	,	PUNCT
faba-298	27	20	analysts	analyst	NOUN
faba-298	27	21	,	,	PUNCT
faba-298	27	22	and	and	CCONJ
faba-298	27	23	policymakers	policymaker	NOUN
faba-298	27	24	.	.	PUNCT
faba-298	28	1	through	through	ADP
faba-298	28	2	a	a	DET
faba-298	28	3	multi	multi	ADJ
faba-298	28	4	-	-	ADJ
faba-298	28	5	stock	stock	ADJ
faba-298	28	6	comparative	comparative	ADJ
faba-298	28	7	approach	approach	NOUN
faba-298	28	8	,	,	PUNCT
faba-298	28	9	it	it	PRON
faba-298	28	10	evaluates	evaluate	VERB
faba-298	28	11	whether	whether	SCONJ
faba-298	28	12	a	a	DET
faba-298	28	13	single	single	ADJ
faba-298	28	14	lstm	lstm	NOUN
faba-298	28	15	model	model	NOUN
faba-298	28	16	can	can	AUX
faba-298	28	17	preserve	preserve	VERB
faba-298	28	18	predictive	predictive	ADJ
faba-298	28	19	accuracy	accuracy	NOUN
faba-298	28	20	across	across	ADP
faba-298	28	21	varying	vary	VERB
faba-298	28	22	volatility	volatility	NOUN
faba-298	28	23	regimes	regime	NOUN
faba-298	28	24	,	,	PUNCT
faba-298	28	25	offering	offer	VERB
faba-298	28	26	both	both	CCONJ
faba-298	28	27	methodological	methodological	ADJ
faba-298	28	28	and	and	CCONJ
faba-298	28	29	practical	practical	ADJ
faba-298	28	30	contributions	contribution	NOUN
faba-298	28	31	to	to	ADP
faba-298	28	32	the	the	DET
faba-298	28	33	forecasting	forecasting	NOUN
faba-298	28	34	literature	literature	NOUN
faba-298	28	35	.	.	PUNCT
faba-298	29	1	in	in	ADP
faba-298	29	2	response	response	NOUN
faba-298	29	3	to	to	ADP
faba-298	29	4	these	these	DET
faba-298	29	5	considerations	consideration	NOUN
faba-298	29	6	,	,	PUNCT
faba-298	29	7	the	the	DET
faba-298	29	8	study	study	NOUN
faba-298	29	9	focuses	focus	VERB
faba-298	29	10	on	on	ADP
faba-298	29	11	three	three	NUM
faba-298	29	12	central	central	ADJ
faba-298	29	13	research	research	NOUN
faba-298	29	14	questions	question	NOUN
faba-298	29	15	:	:	PUNCT
faba-298	29	16	(	(	PUNCT
faba-298	29	17	1	1	X
faba-298	29	18	)	)	PUNCT
faba-298	29	19	to	to	ADP
faba-298	29	20	what	what	DET
faba-298	29	21	extent	extent	NOUN
faba-298	29	22	can	can	AUX
faba-298	29	23	lstm	lstm	NOUN
faba-298	29	24	models	model	NOUN
faba-298	29	25	improve	improve	VERB
faba-298	29	26	predictive	predictive	ADJ
faba-298	29	27	accuracy	accuracy	NOUN
faba-298	29	28	relative	relative	ADJ
faba-298	29	29	to	to	ADP
faba-298	29	30	traditional	traditional	ADJ
faba-298	29	31	forecasting	forecasting	NOUN
faba-298	29	32	techniques	technique	NOUN
faba-298	29	33	?	?	PUNCT
faba-298	30	1	(	(	PUNCT
faba-298	30	2	2	2	X
faba-298	30	3	)	)	PUNCT
faba-298	30	4	how	how	SCONJ
faba-298	30	5	well	well	ADV
faba-298	30	6	do	do	AUX
faba-298	30	7	lstm	lstm	NOUN
faba-298	30	8	models	model	NOUN
faba-298	30	9	perform	perform	VERB
faba-298	30	10	when	when	SCONJ
faba-298	30	11	applied	apply	VERB
faba-298	30	12	to	to	ADP
faba-298	30	13	stocks	stock	NOUN
faba-298	30	14	with	with	ADP
faba-298	30	15	markedly	markedly	ADV
faba-298	30	16	different	different	ADJ
faba-298	30	17	volatility	volatility	NOUN
faba-298	30	18	characteristics	characteristic	NOUN
faba-298	30	19	?	?	PUNCT
faba-298	31	1	(	(	PUNCT
faba-298	31	2	3	3	X
faba-298	31	3	)	)	PUNCT
faba-298	31	4	what	what	PRON
faba-298	31	5	are	be	AUX
faba-298	31	6	the	the	DET
faba-298	31	7	implications	implication	NOUN
faba-298	31	8	of	of	ADP
faba-298	31	9	enhanced	enhance	VERB
faba-298	31	10	predictive	predictive	ADJ
faba-298	31	11	accuracy	accuracy	NOUN
faba-298	31	12	for	for	ADP
faba-298	31	13	investment	investment	NOUN
faba-298	31	14	decision	decision	NOUN
faba-298	31	15	-	-	PUNCT
faba-298	31	16	making	make	VERB
faba-298	31	17	and	and	CCONJ
faba-298	31	18	financial	financial	ADJ
faba-298	31	19	policy	policy	NOUN
faba-298	31	20	?	?	PUNCT
faba-298	32	1	the	the	DET
faba-298	32	2	contribution	contribution	NOUN
faba-298	32	3	of	of	ADP
faba-298	32	4	this	this	DET
faba-298	32	5	study	study	NOUN
faba-298	32	6	is	be	AUX
faba-298	32	7	twofold	twofold	ADV
faba-298	32	8	.	.	PUNCT
faba-298	33	1	theoretically	theoretically	ADV
faba-298	33	2	,	,	PUNCT
faba-298	33	3	it	it	PRON
faba-298	33	4	extends	extend	VERB
faba-298	33	5	prior	prior	ADV
faba-298	33	6	work	work	NOUN
faba-298	33	7	by	by	ADP
faba-298	33	8	demonstrating	demonstrate	VERB
faba-298	33	9	the	the	DET
faba-298	33	10	flexibility	flexibility	NOUN
faba-298	33	11	of	of	ADP
faba-298	33	12	lstm	lstm	NOUN
faba-298	33	13	architectures	architecture	NOUN
faba-298	33	14	across	across	ADP
faba-298	33	15	diverse	diverse	ADJ
faba-298	33	16	market	market	NOUN
faba-298	33	17	environments	environment	NOUN
faba-298	33	18	,	,	PUNCT
faba-298	33	19	linking	link	VERB
faba-298	33	20	predictive	predictive	ADJ
faba-298	33	21	performance	performance	NOUN
faba-298	33	22	with	with	ADP
faba-298	33	23	broader	broad	ADJ
faba-298	33	24	financial	financial	ADJ
faba-298	33	25	interpretability	interpretability	NOUN
faba-298	33	26	.	.	PUNCT
faba-298	34	1	practically	practically	ADV
faba-298	34	2	,	,	PUNCT
faba-298	34	3	it	it	PRON
faba-298	34	4	illustrates	illustrate	VERB
faba-298	34	5	how	how	SCONJ
faba-298	34	6	machine	machine	NOUN
faba-298	34	7	learning	learning	NOUN
faba-298	34	8	–	–	PUNCT
faba-298	34	9	based	base	VERB
faba-298	34	10	forecasts	forecast	NOUN
faba-298	34	11	can	can	AUX
faba-298	34	12	enhance	enhance	VERB
faba-298	34	13	risk	risk	NOUN
faba-298	34	14	assessment	assessment	NOUN
faba-298	34	15	and	and	CCONJ
faba-298	34	16	support	support	VERB
faba-298	34	17	more	more	ADJ
faba-298	34	18	strategic	strategic	ADJ
faba-298	34	19	investment	investment	NOUN
faba-298	34	20	planning	planning	NOUN
faba-298	34	21	.	.	PUNCT
faba-298	35	1	this	this	DET
faba-298	35	2	introduction	introduction	NOUN
faba-298	35	3	frames	frame	VERB
faba-298	35	4	the	the	DET
faba-298	35	5	application	application	NOUN
faba-298	35	6	of	of	ADP
faba-298	35	7	lstms	lstms	NOUN
faba-298	35	8	for	for	ADP
faba-298	35	9	stock	stock	NOUN
faba-298	35	10	price	price	NOUN
faba-298	35	11	prediction	prediction	NOUN
faba-298	35	12	within	within	ADP
faba-298	35	13	the	the	DET
faba-298	35	14	python	python	NOUN
faba-298	35	15	programming	programming	NOUN
faba-298	35	16	environment	environment	NOUN
faba-298	35	17	.	.	PUNCT
faba-298	36	1	it	it	PRON
faba-298	36	2	outlines	outline	VERB
faba-298	36	3	the	the	DET
faba-298	36	4	essential	essential	ADJ
faba-298	36	5	concepts	concept	NOUN
faba-298	36	6	underpinning	underpin	VERB
faba-298	36	7	lstm	lstm	ADJ
faba-298	36	8	networks	network	NOUN
faba-298	36	9	,	,	PUNCT
faba-298	36	10	discusses	discuss	VERB
faba-298	36	11	how	how	SCONJ
faba-298	36	12	they	they	PRON
faba-298	36	13	model	model	VERB
faba-298	36	14	temporal	temporal	ADJ
faba-298	36	15	dependencies	dependency	NOUN
faba-298	36	16	,	,	PUNCT
faba-298	36	17	and	and	CCONJ
faba-298	36	18	reviews	review	VERB
faba-298	36	19	the	the	DET
faba-298	36	20	steps	step	NOUN
faba-298	36	21	involved	involve	VERB
faba-298	36	22	in	in	ADP
faba-298	36	23	implementing	implement	VERB
faba-298	36	24	an	an	DET
faba-298	36	25	lstm	lstm	ADJ
faba-298	36	26	model	model	NOUN
faba-298	36	27	,	,	PUNCT
faba-298	36	28	from	from	ADP
faba-298	36	29	preprocessing	preprocesse	VERB
faba-298	36	30	data	datum	NOUN
faba-298	36	31	to	to	ADP
faba-298	36	32	selecting	select	VERB
faba-298	36	33	architectures	architecture	NOUN
faba-298	36	34	and	and	CCONJ
faba-298	36	35	evaluating	evaluating	NOUN
faba-298	36	36	performance	performance	NOUN
faba-298	36	37	.	.	PUNCT
faba-298	37	1	prior	prior	ADJ
faba-298	37	2	research	research	NOUN
faba-298	37	3	,	,	PUNCT
faba-298	37	4	such	such	ADJ
faba-298	37	5	as	as	ADP
faba-298	37	6	goyal	goyal	PROPN
faba-298	37	7	(	(	PUNCT
faba-298	37	8	2004	2004	NUM
faba-298	37	9	)	)	PUNCT
faba-298	37	10	,	,	PUNCT
faba-298	37	11	has	have	AUX
faba-298	37	12	shown	show	VERB
faba-298	37	13	that	that	SCONJ
faba-298	37	14	lstms	lstms	ADJ
faba-298	37	15	outperform	outperform	NOUN
faba-298	37	16	methods	method	NOUN
faba-298	37	17	like	like	ADP
faba-298	37	18	adaptive	adaptive	ADJ
faba-298	37	19	integrated	integrate	VERB
faba-298	37	20	moving	move	VERB
faba-298	37	21	average	average	ADJ
faba-298	37	22	and	and	CCONJ
faba-298	37	23	traditional	traditional	ADJ
faba-298	37	24	feedforward	feedforward	ADJ
faba-298	37	25	neural	neural	ADJ
faba-298	37	26	networks	network	NOUN
faba-298	37	27	in	in	ADP
faba-298	37	28	financial	financial	ADJ
faba-298	37	29	forecasting	forecasting	NOUN
faba-298	37	30	.	.	PUNCT
faba-298	38	1	wang	wang	PROPN
faba-298	38	2	et	et	PROPN
faba-298	38	3	al	al	PROPN
faba-298	38	4	.	.	PROPN
faba-298	39	1	(	(	PUNCT
faba-298	39	2	2018	2018	NUM
faba-298	39	3	)	)	PUNCT
faba-298	39	4	similarly	similarly	ADV
faba-298	39	5	report	report	VERB
faba-298	39	6	accuracy	accuracy	NOUN
faba-298	39	7	rates	rate	NOUN
faba-298	39	8	of	of	ADP
faba-298	39	9	60–65	60–65	NUM
faba-298	39	10	%	%	NOUN
faba-298	39	11	,	,	PUNCT
faba-298	39	12	reinforcing	reinforce	VERB
faba-298	39	13	lstm	lstm	PROPN
faba-298	39	14	’s	’s	PART
faba-298	39	15	value	value	NOUN
faba-298	39	16	in	in	ADP
faba-298	39	17	predictive	predictive	ADJ
faba-298	39	18	finance	finance	NOUN
faba-298	39	19	.	.	PUNCT
faba-298	40	1	by	by	ADP
faba-298	40	2	incorporating	incorporate	VERB
faba-298	40	3	a	a	DET
faba-298	40	4	multi	multi	ADJ
faba-298	40	5	-	-	ADJ
faba-298	40	6	stock	stock	ADJ
faba-298	40	7	comparative	comparative	ADJ
faba-298	40	8	dimension	dimension	NOUN
faba-298	40	9	and	and	CCONJ
faba-298	40	10	examining	examine	VERB
faba-298	40	11	policy	policy	NOUN
faba-298	40	12	and	and	CCONJ
faba-298	40	13	investment	investment	NOUN
faba-298	40	14	implications	implication	NOUN
faba-298	40	15	,	,	PUNCT
faba-298	40	16	this	this	DET
faba-298	40	17	study	study	NOUN
faba-298	40	18	advances	advance	VERB
faba-298	40	19	the	the	DET
faba-298	40	20	empirical	empirical	ADJ
faba-298	40	21	understanding	understanding	NOUN
faba-298	40	22	of	of	ADP
faba-298	40	23	lstm	lstm	NOUN
faba-298	40	24	-	-	PUNCT
faba-298	40	25	based	base	VERB
faba-298	40	26	financial	financial	ADJ
faba-298	40	27	prediction	prediction	NOUN
faba-298	40	28	and	and	CCONJ
faba-298	40	29	contributes	contribute	VERB
faba-298	40	30	to	to	ADP
faba-298	40	31	ongoing	ongoing	ADJ
faba-298	40	32	developments	development	NOUN
faba-298	40	33	in	in	ADP
faba-298	40	34	forecasting	forecast	VERB
faba-298	40	35	research	research	NOUN
faba-298	40	36	.	.	PUNCT
faba-298	41	1	methods	method	NOUN
faba-298	41	2	data	data	VERB
faba-298	41	3	the	the	DET
faba-298	41	4	dataset	dataset	NOUN
faba-298	41	5	employed	employ	VERB
faba-298	41	6	in	in	ADP
faba-298	41	7	this	this	DET
faba-298	41	8	study	study	NOUN
faba-298	41	9	comprises	comprise	VERB
faba-298	41	10	daily	daily	ADJ
faba-298	41	11	closing	closing	NOUN
faba-298	41	12	prices	price	NOUN
faba-298	41	13	of	of	ADP
faba-298	41	14	four	four	NUM
faba-298	41	15	major	major	ADJ
faba-298	41	16	technology	technology	NOUN
faba-298	41	17	firms	firm	NOUN
faba-298	41	18	,	,	PUNCT
faba-298	41	19	such	such	ADJ
faba-298	41	20	as	as	ADP
faba-298	41	21	tesla	tesla	PROPN
faba-298	41	22	,	,	PUNCT
faba-298	41	23	google	google	NOUN
faba-298	41	24	,	,	PUNCT
faba-298	41	25	apple	apple	NOUN
faba-298	41	26	,	,	PUNCT
faba-298	41	27	and	and	CCONJ
faba-298	41	28	amazon	amazon	NOUN
faba-298	41	29	,	,	PUNCT
faba-298	41	30	sourced	source	VERB
faba-298	41	31	from	from	ADP
faba-298	41	32	yahoo	yahoo	PROPN
faba-298	41	33	finance	finance	NOUN
faba-298	41	34	.	.	PUNCT
faba-298	42	1	these	these	DET
faba-298	42	2	firms	firm	NOUN
faba-298	42	3	were	be	AUX
faba-298	42	4	purposefully	purposefully	ADV
faba-298	42	5	selected	select	VERB
faba-298	42	6	because	because	SCONJ
faba-298	42	7	they	they	PRON
faba-298	42	8	represent	represent	VERB
faba-298	42	9	globally	globally	ADV
faba-298	42	10	traded	trade	VERB
faba-298	42	11	,	,	PUNCT
faba-298	42	12	highly	highly	ADV
faba-298	42	13	liquid	liquid	ADJ
faba-298	42	14	stocks	stock	NOUN
faba-298	42	15	that	that	PRON
faba-298	42	16	exhibit	exhibit	VERB
faba-298	42	17	distinct	distinct	ADJ
faba-298	42	18	volatility	volatility	NOUN
faba-298	42	19	patterns	pattern	NOUN
faba-298	42	20	and	and	CCONJ
faba-298	42	21	investor	investor	NOUN
faba-298	42	22	behaviors	behavior	NOUN
faba-298	42	23	,	,	PUNCT
faba-298	42	24	making	make	VERB
faba-298	42	25	them	they	PRON
faba-298	42	26	suitable	suitable	ADJ
faba-298	42	27	for	for	ADP
faba-298	42	28	testing	test	VERB
faba-298	42	29	the	the	DET
faba-298	42	30	robustness	robustness	NOUN
faba-298	42	31	of	of	ADP
faba-298	42	32	lstm	lstm	NOUN
faba-298	42	33	models	model	NOUN
faba-298	42	34	under	under	ADP
faba-298	42	35	both	both	CCONJ
faba-298	42	36	stable	stable	ADJ
faba-298	42	37	and	and	CCONJ
faba-298	42	38	adedeji	adedeji	NOUN
faba-298	42	39	daniel	daniel	PROPN
faba-298	42	40	gbadebo	gbadebo	PROPN
faba-298	42	41	/	/	SYM
faba-298	42	42	finance	finance	PROPN
faba-298	42	43	,	,	PUNCT
faba-298	42	44	accounting	accounting	NOUN
faba-298	42	45	and	and	CCONJ
faba-298	42	46	business	business	NOUN
faba-298	42	47	analysis	analysis	NOUN
faba-298	42	48	,	,	PUNCT
faba-298	42	49	volume	volume	NOUN
faba-298	42	50	7	7	NUM
faba-298	42	51	,	,	PUNCT
faba-298	42	52	issue	issue	NOUN
faba-298	42	53	2	2	NUM
faba-298	42	54	,	,	PUNCT
faba-298	42	55	2025	2025	NUM
faba-298	42	56	306	306	NUM
faba-298	42	57	volatile	volatile	ADJ
faba-298	42	58	market	market	NOUN
faba-298	42	59	conditions	condition	NOUN
faba-298	42	60	.	.	PUNCT
faba-298	43	1	their	their	PRON
faba-298	43	2	inclusion	inclusion	NOUN
faba-298	43	3	aligns	align	VERB
faba-298	43	4	with	with	ADP
faba-298	43	5	the	the	DET
faba-298	43	6	study	study	NOUN
faba-298	43	7	’s	’s	PART
faba-298	43	8	objective	objective	NOUN
faba-298	43	9	to	to	PART
faba-298	43	10	evaluate	evaluate	VERB
faba-298	43	11	the	the	DET
faba-298	43	12	adaptive	adaptive	ADJ
faba-298	43	13	capacity	capacity	NOUN
faba-298	43	14	of	of	ADP
faba-298	43	15	deep	deep	ADJ
faba-298	43	16	learning	learning	NOUN
faba-298	43	17	models	model	NOUN
faba-298	43	18	in	in	ADP
faba-298	43	19	heterogeneous	heterogeneous	ADJ
faba-298	43	20	market	market	NOUN
faba-298	43	21	environments	environment	NOUN
faba-298	43	22	.	.	PUNCT
faba-298	44	1	the	the	DET
faba-298	44	2	data	datum	NOUN
faba-298	44	3	frequency	frequency	NOUN
faba-298	44	4	is	be	AUX
faba-298	44	5	daily	daily	ADJ
faba-298	44	6	,	,	PUNCT
faba-298	44	7	as	as	SCONJ
faba-298	44	8	daily	daily	ADJ
faba-298	44	9	observations	observation	NOUN
faba-298	44	10	capture	capture	VERB
faba-298	44	11	short	short	ADJ
faba-298	44	12	-	-	PUNCT
faba-298	44	13	term	term	NOUN
faba-298	44	14	fluctuations	fluctuation	NOUN
faba-298	44	15	and	and	CCONJ
faba-298	44	16	dynamic	dynamic	ADJ
faba-298	44	17	responses	response	NOUN
faba-298	44	18	to	to	ADP
faba-298	44	19	market	market	NOUN
faba-298	44	20	news	news	NOUN
faba-298	44	21	,	,	PUNCT
faba-298	44	22	which	which	PRON
faba-298	44	23	are	be	AUX
faba-298	44	24	critical	critical	ADJ
faba-298	44	25	for	for	ADP
faba-298	44	26	accurate	accurate	ADJ
faba-298	44	27	time	time	NOUN
faba-298	44	28	-	-	PUNCT
faba-298	44	29	series	series	NOUN
faba-298	44	30	learning	learning	NOUN
faba-298	44	31	in	in	ADP
faba-298	44	32	lstm	lstm	ADJ
faba-298	44	33	frameworks	framework	NOUN
faba-298	44	34	.	.	PUNCT
faba-298	45	1	higher	high	ADJ
faba-298	45	2	frequencies	frequency	NOUN
faba-298	45	3	(	(	PUNCT
faba-298	45	4	e.g.	e.g.	ADV
faba-298	45	5	,	,	PUNCT
faba-298	45	6	minute	minute	NOUN
faba-298	45	7	-	-	PUNCT
faba-298	45	8	by	by	ADP
faba-298	45	9	-	-	PUNCT
faba-298	45	10	minute	minute	NOUN
faba-298	45	11	data	datum	NOUN
faba-298	45	12	)	)	PUNCT
faba-298	45	13	were	be	AUX
faba-298	45	14	avoided	avoid	VERB
faba-298	45	15	to	to	PART
faba-298	45	16	reduce	reduce	VERB
faba-298	45	17	excessive	excessive	ADJ
faba-298	45	18	noise	noise	NOUN
faba-298	45	19	and	and	CCONJ
faba-298	45	20	overfitting	overfitting	NOUN
faba-298	45	21	,	,	PUNCT
faba-298	45	22	while	while	SCONJ
faba-298	45	23	lower	low	ADJ
faba-298	45	24	frequencies	frequency	NOUN
faba-298	45	25	(	(	PUNCT
faba-298	45	26	e.g.	e.g.	ADV
faba-298	45	27	,	,	PUNCT
faba-298	45	28	monthly	monthly	ADJ
faba-298	45	29	data	datum	NOUN
faba-298	45	30	)	)	PUNCT
faba-298	45	31	would	would	AUX
faba-298	45	32	obscure	obscure	VERB
faba-298	45	33	important	important	ADJ
faba-298	45	34	market	market	NOUN
faba-298	45	35	dynamics	dynamic	NOUN
faba-298	45	36	.	.	PUNCT
faba-298	46	1	the	the	DET
faba-298	46	2	sample	sample	NOUN
faba-298	46	3	period	period	NOUN
faba-298	46	4	spans	span	VERB
faba-298	46	5	from	from	ADP
faba-298	46	6	january	january	PROPN
faba-298	46	7	1	1	NUM
faba-298	46	8	,	,	PUNCT
faba-298	46	9	2019	2019	NUM
faba-298	46	10	,	,	PUNCT
faba-298	46	11	to	to	ADP
faba-298	46	12	december	december	PROPN
faba-298	46	13	31	31	NUM
faba-298	46	14	,	,	PUNCT
faba-298	46	15	2023	2023	NUM
faba-298	46	16	.	.	PUNCT
faba-298	47	1	specifically	specifically	ADV
faba-298	47	2	,	,	PUNCT
faba-298	47	3	the	the	DET
faba-298	47	4	training	training	NOUN
faba-298	47	5	period	period	NOUN
faba-298	47	6	covers	cover	VERB
faba-298	47	7	01/01/2022	01/01/2022	NOUN
faba-298	47	8	to	to	ADP
faba-298	47	9	12/31/2023	12/31/2023	NUM
faba-298	47	10	,	,	PUNCT
faba-298	47	11	while	while	SCONJ
faba-298	47	12	the	the	DET
faba-298	47	13	testing	testing	NOUN
faba-298	47	14	period	period	NOUN
faba-298	47	15	spans	span	VERB
faba-298	47	16	01/01/2019	01/01/2019	X
faba-298	47	17	to	to	ADP
faba-298	47	18	12/31/2021	12/31/2021	NUM
faba-298	47	19	.	.	PUNCT
faba-298	48	1	this	this	DET
faba-298	48	2	partitioning	partitioning	NOUN
faba-298	48	3	ensures	ensure	VERB
faba-298	48	4	that	that	SCONJ
faba-298	48	5	the	the	DET
faba-298	48	6	model	model	NOUN
faba-298	48	7	learns	learn	VERB
faba-298	48	8	from	from	ADP
faba-298	48	9	recent	recent	ADJ
faba-298	48	10	market	market	NOUN
faba-298	48	11	patterns	pattern	NOUN
faba-298	48	12	while	while	SCONJ
faba-298	48	13	being	be	AUX
faba-298	48	14	validated	validate	VERB
faba-298	48	15	on	on	ADP
faba-298	48	16	pre-2022	pre-2022	NOUN
faba-298	48	17	data	datum	NOUN
faba-298	48	18	to	to	PART
faba-298	48	19	assess	assess	VERB
faba-298	48	20	predictive	predictive	ADJ
faba-298	48	21	generalizability	generalizability	NOUN
faba-298	48	22	.	.	PUNCT
faba-298	49	1	although	although	SCONJ
faba-298	49	2	the	the	DET
faba-298	49	3	reviewer	reviewer	NOUN
faba-298	49	4	suggested	suggest	VERB
faba-298	49	5	extending	extend	VERB
faba-298	49	6	the	the	DET
faba-298	49	7	dataset	dataset	NOUN
faba-298	49	8	to	to	ADP
faba-298	49	9	december	december	PROPN
faba-298	49	10	2024	2024	NUM
faba-298	49	11	,	,	PUNCT
faba-298	49	12	this	this	PRON
faba-298	49	13	is	be	AUX
faba-298	49	14	not	not	PART
faba-298	49	15	feasible	feasible	ADJ
faba-298	49	16	because	because	SCONJ
faba-298	49	17	the	the	DET
faba-298	49	18	study	study	NOUN
faba-298	49	19	’s	’s	PART
faba-298	49	20	dataset	dataset	NOUN
faba-298	49	21	was	be	AUX
faba-298	49	22	extracted	extract	VERB
faba-298	49	23	as	as	ADP
faba-298	49	24	of	of	ADP
faba-298	49	25	early	early	ADJ
faba-298	49	26	2024	2024	NUM
faba-298	49	27	,	,	PUNCT
faba-298	49	28	and	and	CCONJ
faba-298	49	29	stock	stock	NOUN
faba-298	49	30	price	price	NOUN
faba-298	49	31	data	datum	NOUN
faba-298	49	32	beyond	beyond	ADP
faba-298	49	33	that	that	DET
faba-298	49	34	point	point	NOUN
faba-298	49	35	were	be	AUX
faba-298	49	36	unavailable	unavailable	ADJ
faba-298	49	37	or	or	CCONJ
faba-298	49	38	incomplete	incomplete	ADJ
faba-298	49	39	at	at	ADP
faba-298	49	40	the	the	DET
faba-298	49	41	time	time	NOUN
faba-298	49	42	of	of	ADP
faba-298	49	43	analysis	analysis	NOUN
faba-298	49	44	.	.	PUNCT
faba-298	50	1	moreover	moreover	ADV
faba-298	50	2	,	,	PUNCT
faba-298	50	3	extending	extend	VERB
faba-298	50	4	to	to	ADP
faba-298	50	5	an	an	DET
faba-298	50	6	unfinished	unfinished	ADJ
faba-298	50	7	trading	trading	NOUN
faba-298	50	8	year	year	NOUN
faba-298	50	9	may	may	AUX
faba-298	50	10	introduce	introduce	VERB
faba-298	50	11	data	datum	NOUN
faba-298	50	12	inconsistencies	inconsistency	NOUN
faba-298	50	13	and	and	CCONJ
faba-298	50	14	bias	bias	VERB
faba-298	50	15	the	the	DET
faba-298	50	16	evaluation	evaluation	NOUN
faba-298	50	17	of	of	ADP
faba-298	50	18	model	model	NOUN
faba-298	50	19	performance	performance	NOUN
faba-298	50	20	.	.	PUNCT
faba-298	51	1	therefore	therefore	ADV
faba-298	51	2	,	,	PUNCT
faba-298	51	3	the	the	DET
faba-298	51	4	selected	select	VERB
faba-298	51	5	timeframe	timeframe	NOUN
faba-298	51	6	provides	provide	VERB
faba-298	51	7	the	the	DET
faba-298	51	8	most	most	ADV
faba-298	51	9	comprehensive	comprehensive	ADJ
faba-298	51	10	and	and	CCONJ
faba-298	51	11	reliable	reliable	ADJ
faba-298	51	12	dataset	dataset	NOUN
faba-298	51	13	available	available	ADJ
faba-298	51	14	at	at	ADP
faba-298	51	15	the	the	DET
faba-298	51	16	time	time	NOUN
faba-298	51	17	of	of	ADP
faba-298	51	18	study	study	NOUN
faba-298	51	19	completion	completion	NOUN
faba-298	51	20	.	.	PUNCT
faba-298	52	1	these	these	DET
faba-298	52	2	four	four	NUM
faba-298	52	3	stocks	stock	NOUN
faba-298	52	4	represent	represent	VERB
faba-298	52	5	prominent	prominent	ADJ
faba-298	52	6	players	player	NOUN
faba-298	52	7	in	in	ADP
faba-298	52	8	the	the	DET
faba-298	52	9	stock	stock	NOUN
faba-298	52	10	market	market	NOUN
faba-298	52	11	,	,	PUNCT
faba-298	52	12	each	each	PRON
faba-298	52	13	exhibiting	exhibit	VERB
faba-298	52	14	unique	unique	ADJ
faba-298	52	15	characteristics	characteristic	NOUN
faba-298	52	16	and	and	CCONJ
faba-298	52	17	stability	stability	NOUN
faba-298	52	18	profiles	profile	NOUN
faba-298	52	19	.	.	PUNCT
faba-298	53	1	tesla	tesla	PROPN
faba-298	53	2	,	,	PUNCT
faba-298	53	3	known	know	VERB
faba-298	53	4	for	for	ADP
faba-298	53	5	its	its	PRON
faba-298	53	6	innovative	innovative	ADJ
faba-298	53	7	electric	electric	ADJ
faba-298	53	8	vehicles	vehicle	NOUN
faba-298	53	9	and	and	CCONJ
faba-298	53	10	volatile	volatile	ADJ
faba-298	53	11	stock	stock	NOUN
faba-298	53	12	,	,	PUNCT
faba-298	53	13	presents	present	VERB
faba-298	53	14	higher	high	ADJ
faba-298	53	15	risks	risk	NOUN
faba-298	53	16	but	but	CCONJ
faba-298	53	17	also	also	ADV
faba-298	53	18	potential	potential	ADJ
faba-298	53	19	for	for	ADP
faba-298	53	20	substantial	substantial	ADJ
faba-298	53	21	returns	return	NOUN
faba-298	53	22	(	(	PUNCT
faba-298	53	23	zou	zou	X
faba-298	53	24	et	et	PROPN
faba-298	53	25	al	al	PROPN
faba-298	53	26	.	.	PROPN
faba-298	53	27	2022	2022	NUM
faba-298	53	28	)	)	PUNCT
faba-298	53	29	.	.	PUNCT
faba-298	54	1	google	google	PROPN
faba-298	54	2	demonstrates	demonstrate	VERB
faba-298	54	3	greater	great	ADJ
faba-298	54	4	stability	stability	NOUN
faba-298	54	5	and	and	CCONJ
faba-298	54	6	consistent	consistent	ADJ
faba-298	54	7	growth	growth	NOUN
faba-298	54	8	.	.	PUNCT
faba-298	55	1	apple	apple	NOUN
faba-298	55	2	,	,	PUNCT
faba-298	55	3	with	with	ADP
faba-298	55	4	its	its	PRON
faba-298	55	5	strong	strong	ADJ
faba-298	55	6	brand	brand	NOUN
faba-298	55	7	and	and	CCONJ
faba-298	55	8	loyal	loyal	ADJ
faba-298	55	9	customer	customer	NOUN
faba-298	55	10	base	base	NOUN
faba-298	55	11	,	,	PUNCT
faba-298	55	12	offers	offer	VERB
faba-298	55	13	a	a	DET
faba-298	55	14	balance	balance	NOUN
faba-298	55	15	of	of	ADP
faba-298	55	16	stability	stability	NOUN
faba-298	55	17	and	and	CCONJ
faba-298	55	18	growth	growth	NOUN
faba-298	55	19	potential	potential	NOUN
faba-298	55	20	.	.	PUNCT
faba-298	56	1	amazon	amazon	PROPN
faba-298	56	2	,	,	PUNCT
faba-298	56	3	dominating	dominate	VERB
faba-298	56	4	e	e	NOUN
faba-298	56	5	-	-	NOUN
faba-298	56	6	commerce	commerce	NOUN
faba-298	56	7	and	and	CCONJ
faba-298	56	8	cloud	cloud	PROPN
faba-298	56	9	computing	computing	NOUN
faba-298	56	10	,	,	PUNCT
faba-298	56	11	showcases	showcase	VERB
faba-298	56	12	robust	robust	ADJ
faba-298	56	13	growth	growth	NOUN
faba-298	56	14	but	but	CCONJ
faba-298	56	15	can	can	AUX
faba-298	56	16	experience	experience	VERB
faba-298	56	17	fluctuations	fluctuation	NOUN
faba-298	56	18	due	due	ADJ
faba-298	56	19	to	to	ADP
faba-298	56	20	market	market	NOUN
faba-298	56	21	sentiment	sentiment	NOUN
faba-298	56	22	and	and	CCONJ
faba-298	56	23	competition	competition	NOUN
faba-298	56	24	(	(	PUNCT
faba-298	56	25	nurazi	nurazi	NOUN
faba-298	56	26	and	and	CCONJ
faba-298	56	27	usman	usman	PROPN
faba-298	56	28	2016	2016	NUM
faba-298	56	29	)	)	PUNCT
faba-298	56	30	.	.	PUNCT
faba-298	57	1	models	model	NOUN
faba-298	57	2	recurrent	recurrent	VERB
faba-298	57	3	neural	neural	ADJ
faba-298	57	4	networks	network	NOUN
faba-298	57	5	(	(	PUNCT
faba-298	57	6	rnns	rnns	PROPN
faba-298	57	7	)	)	PUNCT
faba-298	57	8	are	be	AUX
faba-298	57	9	a	a	DET
faba-298	57	10	specialized	specialized	ADJ
faba-298	57	11	class	class	NOUN
faba-298	57	12	of	of	ADP
faba-298	57	13	artificial	artificial	ADJ
faba-298	57	14	neural	neural	ADJ
faba-298	57	15	networks	network	NOUN
faba-298	57	16	designed	design	VERB
faba-298	57	17	to	to	PART
faba-298	57	18	effectively	effectively	ADV
faba-298	57	19	handle	handle	VERB
faba-298	57	20	sequential	sequential	ADJ
faba-298	57	21	data	datum	NOUN
faba-298	57	22	such	such	ADJ
faba-298	57	23	as	as	ADP
faba-298	57	24	time	time	NOUN
faba-298	57	25	series	series	NOUN
faba-298	57	26	,	,	PUNCT
faba-298	57	27	natural	natural	ADJ
faba-298	57	28	language	language	NOUN
faba-298	57	29	,	,	PUNCT
faba-298	57	30	and	and	CCONJ
faba-298	57	31	speech	speech	NOUN
faba-298	57	32	.	.	PUNCT
faba-298	58	1	unlike	unlike	ADP
faba-298	58	2	traditional	traditional	ADJ
faba-298	58	3	feedforward	feedforward	ADJ
faba-298	58	4	neural	neural	ADJ
faba-298	58	5	networks	network	NOUN
faba-298	58	6	,	,	PUNCT
faba-298	58	7	which	which	PRON
faba-298	58	8	process	process	VERB
faba-298	58	9	data	datum	NOUN
faba-298	58	10	in	in	ADP
faba-298	58	11	a	a	DET
faba-298	58	12	single	single	ADJ
faba-298	58	13	pass	pass	NOUN
faba-298	58	14	,	,	PUNCT
faba-298	58	15	rnns	rnn	NOUN
faba-298	58	16	possess	possess	VERB
faba-298	58	17	internal	internal	ADJ
faba-298	58	18	feedback	feedback	NOUN
faba-298	58	19	loops	loop	NOUN
faba-298	58	20	often	often	ADV
faba-298	58	21	referred	refer	VERB
faba-298	58	22	to	to	ADP
faba-298	58	23	as	as	ADP
faba-298	58	24	"	"	PUNCT
faba-298	58	25	self	self	NOUN
faba-298	58	26	-	-	PUNCT
faba-298	58	27	connections	connection	NOUN
faba-298	58	28	"	"	PUNCT
faba-298	58	29	that	that	PRON
faba-298	58	30	enable	enable	VERB
faba-298	58	31	them	they	PRON
faba-298	58	32	to	to	PART
faba-298	58	33	maintain	maintain	VERB
faba-298	58	34	an	an	DET
faba-298	58	35	internal	internal	ADJ
faba-298	58	36	state	state	NOUN
faba-298	58	37	or	or	CCONJ
faba-298	58	38	“	"	PUNCT
faba-298	58	39	memory	memory	NOUN
faba-298	58	40	.	.	PUNCT
faba-298	58	41	”	"	PUNCT
faba-298	59	1	this	this	DET
faba-298	59	2	memory	memory	NOUN
faba-298	59	3	allows	allow	VERB
faba-298	59	4	the	the	DET
faba-298	59	5	network	network	NOUN
faba-298	59	6	to	to	PART
faba-298	59	7	retain	retain	VERB
faba-298	59	8	information	information	NOUN
faba-298	59	9	from	from	ADP
faba-298	59	10	previous	previous	ADJ
faba-298	59	11	inputs	input	NOUN
faba-298	59	12	and	and	CCONJ
faba-298	59	13	use	use	VERB
faba-298	59	14	it	it	PRON
faba-298	59	15	to	to	PART
faba-298	59	16	influence	influence	VERB
faba-298	59	17	the	the	DET
faba-298	59	18	processing	processing	NOUN
faba-298	59	19	of	of	ADP
faba-298	59	20	subsequent	subsequent	ADJ
faba-298	59	21	inputs	input	NOUN
faba-298	59	22	,	,	PUNCT
faba-298	59	23	making	make	VERB
faba-298	59	24	rnns	rnn	NOUN
faba-298	59	25	particularly	particularly	ADV
faba-298	59	26	well	well	ADV
faba-298	59	27	-	-	PUNCT
faba-298	59	28	suited	suit	VERB
faba-298	59	29	for	for	ADP
faba-298	59	30	tasks	task	NOUN
faba-298	59	31	where	where	SCONJ
faba-298	59	32	the	the	DET
faba-298	59	33	order	order	NOUN
faba-298	59	34	of	of	ADP
faba-298	59	35	data	datum	NOUN
faba-298	59	36	matters	matter	NOUN
faba-298	59	37	.	.	PUNCT
faba-298	60	1	figure	figure	NOUN
faba-298	60	2	1	1	NUM
faba-298	60	3	illustrates	illustrate	VERB
faba-298	60	4	a	a	DET
faba-298	60	5	typical	typical	ADJ
faba-298	60	6	rnn	rnn	NOUN
faba-298	60	7	architecture	architecture	NOUN
faba-298	60	8	,	,	PUNCT
faba-298	60	9	emphasizing	emphasize	VERB
faba-298	60	10	these	these	DET
faba-298	60	11	self	self	NOUN
faba-298	60	12	-	-	PUNCT
faba-298	60	13	connections	connection	NOUN
faba-298	60	14	.	.	PUNCT
faba-298	61	1	this	this	DET
faba-298	61	2	architecture	architecture	NOUN
faba-298	61	3	enables	enable	VERB
faba-298	61	4	rnns	rnn	NOUN
faba-298	61	5	to	to	PART
faba-298	61	6	process	process	VERB
faba-298	61	7	sequential	sequential	ADJ
faba-298	61	8	data	datum	NOUN
faba-298	61	9	variations	variation	NOUN
faba-298	61	10	by	by	ADP
faba-298	61	11	capturing	capture	VERB
faba-298	61	12	temporal	temporal	ADJ
faba-298	61	13	dependencies	dependency	NOUN
faba-298	61	14	and	and	CCONJ
faba-298	61	15	patterns	pattern	NOUN
faba-298	61	16	within	within	ADP
faba-298	61	17	the	the	DET
faba-298	61	18	data	data	NOUN
faba-298	61	19	stream	stream	NOUN
faba-298	61	20	.	.	PUNCT
faba-298	62	1	key	key	ADJ
faba-298	62	2	elements	element	NOUN
faba-298	62	3	of	of	ADP
faba-298	62	4	the	the	DET
faba-298	62	5	rnn	rnn	NOUN
faba-298	62	6	at	at	ADP
faba-298	62	7	time	time	NOUN
faba-298	62	8	step	step	NOUN
faba-298	62	9	t	t	PROPN
faba-298	62	10	include	include	VERB
faba-298	62	11	:	:	PUNCT
faba-298	62	12	𝛼𝑡	𝛼𝑡	X
faba-298	62	13	:	:	PUNCT
faba-298	62	14	the	the	DET
faba-298	62	15	input	input	NOUN
faba-298	62	16	vector	vector	NOUN
faba-298	62	17	at	at	ADP
faba-298	62	18	time	time	NOUN
faba-298	62	19	𝑡	𝑡	PROPN
faba-298	62	20	(	(	PUNCT
faba-298	62	21	input	input	NOUN
faba-298	62	22	layer	layer	NOUN
faba-298	62	23	)	)	PUNCT
faba-298	62	24	;	;	PUNCT
faba-298	63	1	𝛿𝑡	𝛿𝑡	NOUN
faba-298	63	2	:	:	PUNCT
faba-298	63	3	the	the	DET
faba-298	63	4	output	output	NOUN
faba-298	63	5	at	at	ADP
faba-298	63	6	time	time	NOUN
faba-298	63	7	𝑡	𝑡	PROPN
faba-298	63	8	(	(	PUNCT
faba-298	63	9	output	output	NOUN
faba-298	63	10	layer	layer	NOUN
faba-298	63	11	)	)	PUNCT
faba-298	63	12	;	;	PUNCT
faba-298	63	13	𝜇𝑡	𝜇𝑡	VERB
faba-298	63	14	:	:	PUNCT
faba-298	63	15	the	the	DET
faba-298	63	16	memory	memory	NOUN
faba-298	63	17	or	or	CCONJ
faba-298	63	18	hidden	hide	VERB
faba-298	63	19	state	state	NOUN
faba-298	63	20	at	at	ADP
faba-298	63	21	time	time	NOUN
faba-298	63	22	𝑡	𝑡	PROPN
faba-298	63	23	(	(	PUNCT
faba-298	63	24	hidden	hide	VERB
faba-298	63	25	layer	layer	NOUN
faba-298	63	26	)	)	PUNCT
faba-298	63	27	;	;	PUNCT
faba-298	64	1	𝜎	𝜎	X
faba-298	64	2	:	:	PUNCT
faba-298	64	3	the	the	DET
faba-298	64	4	weight	weight	NOUN
faba-298	64	5	matrix	matrix	NOUN
faba-298	64	6	for	for	ADP
faba-298	64	7	input	input	NOUN
faba-298	64	8	;	;	PUNCT
faba-298	64	9	𝛽	𝛽	NOUN
faba-298	64	10	:	:	PUNCT
faba-298	64	11	the	the	DET
faba-298	64	12	weight	weight	NOUN
faba-298	64	13	applied	apply	VERB
faba-298	64	14	to	to	ADP
faba-298	64	15	the	the	DET
faba-298	64	16	input	input	NOUN
faba-298	64	17	sample	sample	NOUN
faba-298	64	18	at	at	ADP
faba-298	64	19	time	time	NOUN
faba-298	64	20	𝑡	𝑡	NOUN
faba-298	64	21	;	;	PUNCT
faba-298	64	22	and	and	CCONJ
faba-298	64	23	𝜅	𝜅	X
faba-298	64	24	:	:	PUNCT
faba-298	64	25	the	the	DET
faba-298	64	26	weight	weight	NOUN
faba-298	64	27	applied	apply	VERB
faba-298	64	28	to	to	ADP
faba-298	64	29	the	the	DET
faba-298	64	30	output	output	NOUN
faba-298	64	31	.	.	PUNCT
faba-298	65	1	source	source	NOUN
faba-298	65	2	:	:	PUNCT
faba-298	65	3	author	author	NOUN
faba-298	65	4	figure	figure	NOUN
faba-298	65	5	1	1	NUM
faba-298	65	6	:	:	PUNCT
faba-298	65	7	a	a	DET
faba-298	65	8	simple	simple	ADJ
faba-298	65	9	rnn	rnn	NOUN
faba-298	65	10	structure	structure	NOUN
faba-298	65	11	the	the	DET
faba-298	65	12	rnn	rnn	NOUN
faba-298	65	13	incorporates	incorporate	VERB
faba-298	65	14	a	a	DET
faba-298	65	15	feedback	feedback	NOUN
faba-298	65	16	mechanism	mechanism	NOUN
faba-298	65	17	within	within	ADP
faba-298	65	18	the	the	DET
faba-298	65	19	hidden	hide	VERB
faba-298	65	20	layer	layer	NOUN
faba-298	65	21	.	.	PUNCT
faba-298	66	1	the	the	DET
faba-298	66	2	hidden	hidden	ADJ
faba-298	66	3	state	state	NOUN
faba-298	66	4	from	from	ADP
faba-298	66	5	the	the	DET
faba-298	66	6	previous	previous	ADJ
faba-298	66	7	time	time	NOUN
faba-298	66	8	step	step	NOUN
faba-298	66	9	can	can	AUX
faba-298	66	10	be	be	AUX
faba-298	66	11	transmitted	transmit	VERB
faba-298	66	12	to	to	ADP
faba-298	66	13	the	the	DET
faba-298	66	14	current	current	ADJ
faba-298	66	15	hidden	hide	VERB
faba-298	66	16	layer	layer	NOUN
faba-298	66	17	and	and	CCONJ
faba-298	66	18	combined	combine	VERB
faba-298	66	19	with	with	ADP
faba-298	66	20	the	the	DET
faba-298	66	21	current	current	ADJ
faba-298	66	22	external	external	ADJ
faba-298	66	23	input	input	NOUN
faba-298	66	24	variables	variable	NOUN
faba-298	66	25	.	.	PUNCT
faba-298	67	1	the	the	DET
faba-298	67	2	hidden	hide	VERB
faba-298	67	3	state	state	NOUN
faba-298	67	4	update	update	NOUN
faba-298	67	5	is	be	AUX
faba-298	67	6	defined	define	VERB
faba-298	67	7	as	as	ADP
faba-298	67	8	:	:	PUNCT
faba-298	67	9	𝜇𝑡	𝜇𝑡	NOUN
faba-298	67	10	=	=	PUNCT
faba-298	67	11	tanh(𝜎𝜇𝑡−1	tanh(𝜎𝜇𝑡−1	X
faba-298	67	12	+	+	X
faba-298	67	13	𝛽𝛼𝑡	𝛽𝛼𝑡	NOUN
faba-298	67	14	)	)	PUNCT
faba-298	67	15	(	(	PUNCT
faba-298	67	16	1	1	X
faba-298	67	17	)	)	PUNCT
faba-298	67	18	adedeji	adedeji	NOUN
faba-298	67	19	daniel	daniel	PROPN
faba-298	67	20	gbadebo	gbadebo	PROPN
faba-298	67	21	/	/	SYM
faba-298	67	22	finance	finance	PROPN
faba-298	67	23	,	,	PUNCT
faba-298	67	24	accounting	accounting	NOUN
faba-298	67	25	and	and	CCONJ
faba-298	67	26	business	business	NOUN
faba-298	67	27	analysis	analysis	NOUN
faba-298	67	28	,	,	PUNCT
faba-298	67	29	volume	volume	NOUN
faba-298	67	30	7	7	NUM
faba-298	67	31	,	,	PUNCT
faba-298	67	32	issue	issue	NOUN
faba-298	67	33	2	2	NUM
faba-298	67	34	,	,	PUNCT
faba-298	67	35	2025	2025	NUM
faba-298	67	36	307	307	NUM
faba-298	67	37	where	where	SCONJ
faba-298	67	38	:	:	PUNCT
faba-298	67	39	tanh	tanh	NOUN
faba-298	67	40	serves	serve	VERB
faba-298	67	41	as	as	ADP
faba-298	67	42	the	the	DET
faba-298	67	43	nonlinear	nonlinear	ADJ
faba-298	67	44	activation	activation	NOUN
faba-298	67	45	function	function	NOUN
faba-298	67	46	,	,	PUNCT
faba-298	67	47	filtering	filter	VERB
faba-298	67	48	information	information	NOUN
faba-298	67	49	and	and	CCONJ
faba-298	67	50	performing	perform	VERB
faba-298	67	51	nonlinear	nonlinear	ADJ
faba-298	67	52	mapping	mapping	NOUN
faba-298	67	53	.	.	PUNCT
faba-298	68	1	the	the	DET
faba-298	68	2	output	output	NOUN
faba-298	68	3	at	at	ADP
faba-298	68	4	time	time	NOUN
faba-298	68	5	𝑡	𝑡	PROPN
faba-298	68	6	is	be	AUX
faba-298	68	7	computed	compute	VERB
faba-298	68	8	as	as	ADP
faba-298	68	9	:	:	PUNCT
faba-298	68	10	𝛿𝑡	𝛿𝑡	PROPN
faba-298	68	11	=	=	SYM
faba-298	68	12	𝑓(𝜅𝜇𝑡	𝑓(𝜅𝜇𝑡	NOUN
faba-298	68	13	)	)	PUNCT
faba-298	68	14	(	(	PUNCT
faba-298	68	15	2	2	X
faba-298	68	16	)	)	PUNCT
faba-298	68	17	rnns	rnn	NOUN
faba-298	68	18	’	'	PUNCT
faba-298	68	19	ability	ability	NOUN
faba-298	68	20	to	to	PART
faba-298	68	21	process	process	VERB
faba-298	68	22	sequential	sequential	ADJ
faba-298	68	23	data	datum	NOUN
faba-298	68	24	makes	make	VERB
faba-298	68	25	them	they	PRON
faba-298	68	26	a	a	DET
faba-298	68	27	natural	natural	ADJ
faba-298	68	28	choice	choice	NOUN
faba-298	68	29	for	for	ADP
faba-298	68	30	time	time	NOUN
faba-298	68	31	-	-	PUNCT
faba-298	68	32	series	series	NOUN
faba-298	68	33	analysis	analysis	NOUN
faba-298	68	34	,	,	PUNCT
faba-298	68	35	such	such	ADJ
faba-298	68	36	as	as	ADP
faba-298	68	37	stock	stock	NOUN
faba-298	68	38	price	price	NOUN
faba-298	68	39	prediction	prediction	NOUN
faba-298	68	40	.	.	PUNCT
faba-298	69	1	however	however	ADV
faba-298	69	2	,	,	PUNCT
faba-298	69	3	traditional	traditional	ADJ
faba-298	69	4	rnns	rnn	NOUN
faba-298	69	5	face	face	VERB
faba-298	69	6	challenges	challenge	NOUN
faba-298	69	7	when	when	SCONJ
faba-298	69	8	dealing	deal	VERB
faba-298	69	9	with	with	ADP
faba-298	69	10	long	long	ADJ
faba-298	69	11	sequences	sequence	NOUN
faba-298	69	12	due	due	ADP
faba-298	69	13	to	to	ADP
faba-298	69	14	the	the	DET
faba-298	69	15	vanishing	vanishing	NOUN
faba-298	69	16	and	and	CCONJ
faba-298	69	17	exploding	explode	VERB
faba-298	69	18	gradient	gradient	NOUN
faba-298	69	19	problems	problem	NOUN
faba-298	69	20	.	.	PUNCT
faba-298	70	1	these	these	DET
faba-298	70	2	issues	issue	NOUN
faba-298	70	3	arise	arise	VERB
faba-298	70	4	during	during	ADP
faba-298	70	5	backpropagation	backpropagation	NOUN
faba-298	70	6	,	,	PUNCT
faba-298	70	7	where	where	SCONJ
faba-298	70	8	gradients	gradient	NOUN
faba-298	70	9	used	use	VERB
faba-298	70	10	to	to	PART
faba-298	70	11	update	update	VERB
faba-298	70	12	network	network	NOUN
faba-298	70	13	weights	weight	NOUN
faba-298	70	14	either	either	CCONJ
faba-298	70	15	diminish	diminish	VERB
faba-298	70	16	exponentially	exponentially	ADV
faba-298	70	17	(	(	PUNCT
faba-298	70	18	vanishing	vanish	VERB
faba-298	70	19	gradients	gradient	NOUN
faba-298	70	20	)	)	PUNCT
faba-298	70	21	or	or	CCONJ
faba-298	70	22	grow	grow	VERB
faba-298	70	23	uncontrollably	uncontrollably	ADV
faba-298	70	24	(	(	PUNCT
faba-298	70	25	exploding	explode	VERB
faba-298	70	26	gradients	gradient	NOUN
faba-298	70	27	)	)	PUNCT
faba-298	70	28	,	,	PUNCT
faba-298	70	29	hindering	hinder	VERB
faba-298	70	30	learning	learning	NOUN
faba-298	70	31	of	of	ADP
faba-298	70	32	long	long	ADJ
faba-298	70	33	-	-	PUNCT
faba-298	70	34	term	term	NOUN
faba-298	70	35	dependencies	dependency	NOUN
faba-298	70	36	.	.	PUNCT
faba-298	71	1	the	the	DET
faba-298	71	2	vanishing	vanish	VERB
faba-298	71	3	gradient	gradient	NOUN
faba-298	71	4	problem	problem	NOUN
faba-298	71	5	limits	limit	VERB
faba-298	71	6	the	the	DET
faba-298	71	7	network	network	NOUN
faba-298	71	8	’s	’s	PART
faba-298	71	9	memory	memory	NOUN
faba-298	71	10	capacity	capacity	NOUN
faba-298	71	11	by	by	ADP
faba-298	71	12	preventing	prevent	VERB
faba-298	71	13	effective	effective	ADJ
faba-298	71	14	association	association	NOUN
faba-298	71	15	of	of	ADP
faba-298	71	16	current	current	ADJ
faba-298	71	17	outputs	output	NOUN
faba-298	71	18	with	with	ADP
faba-298	71	19	inputs	input	NOUN
faba-298	71	20	from	from	ADP
faba-298	71	21	many	many	ADJ
faba-298	71	22	steps	step	NOUN
faba-298	71	23	earlier	early	ADV
faba-298	71	24	,	,	PUNCT
faba-298	71	25	while	while	SCONJ
faba-298	71	26	exploding	explode	VERB
faba-298	71	27	gradients	gradient	NOUN
faba-298	71	28	cause	cause	VERB
faba-298	71	29	unstable	unstable	ADJ
faba-298	71	30	training	training	NOUN
faba-298	71	31	and	and	CCONJ
faba-298	71	32	unpredictable	unpredictable	ADJ
faba-298	71	33	outcomes	outcome	NOUN
faba-298	71	34	.	.	PUNCT
faba-298	72	1	to	to	PART
faba-298	72	2	overcome	overcome	VERB
faba-298	72	3	these	these	DET
faba-298	72	4	limitations	limitation	NOUN
faba-298	72	5	,	,	PUNCT
faba-298	72	6	hochreiter	hochreiter	PROPN
faba-298	72	7	and	and	CCONJ
faba-298	72	8	schmidhuber	schmidhuber	NOUN
faba-298	72	9	(	(	PUNCT
faba-298	72	10	1997	1997	NUM
faba-298	72	11	)	)	PUNCT
faba-298	72	12	introduced	introduce	VERB
faba-298	72	13	the	the	DET
faba-298	72	14	long	long	ADJ
faba-298	72	15	short	short	ADJ
faba-298	72	16	-	-	PUNCT
faba-298	72	17	term	term	NOUN
faba-298	72	18	memory	memory	NOUN
faba-298	72	19	(	(	PUNCT
faba-298	72	20	lstms	lstms	ADJ
faba-298	72	21	)	)	PUNCT
faba-298	72	22	network	network	NOUN
faba-298	72	23	.	.	PUNCT
faba-298	73	1	lstms	lstms	PROPN
faba-298	73	2	are	be	AUX
faba-298	73	3	a	a	DET
faba-298	73	4	specialized	specialized	ADJ
faba-298	73	5	type	type	NOUN
faba-298	73	6	of	of	ADP
faba-298	73	7	rnn	rnn	NOUN
faba-298	73	8	designed	design	VERB
faba-298	73	9	to	to	PART
faba-298	73	10	address	address	VERB
faba-298	73	11	vanishing	vanish	VERB
faba-298	73	12	and	and	CCONJ
faba-298	73	13	exploding	explode	VERB
faba-298	73	14	gradients	gradient	NOUN
faba-298	73	15	,	,	PUNCT
faba-298	73	16	thereby	thereby	ADV
faba-298	73	17	enabling	enable	VERB
faba-298	73	18	the	the	DET
faba-298	73	19	learning	learning	NOUN
faba-298	73	20	and	and	CCONJ
faba-298	73	21	retention	retention	NOUN
faba-298	73	22	of	of	ADP
faba-298	73	23	long	long	ADJ
faba-298	73	24	-	-	PUNCT
faba-298	73	25	term	term	NOUN
faba-298	73	26	dependencies	dependency	NOUN
faba-298	73	27	in	in	ADP
faba-298	73	28	sequential	sequential	ADJ
faba-298	73	29	data	datum	NOUN
faba-298	73	30	.	.	PUNCT
faba-298	74	1	this	this	PRON
faba-298	74	2	makes	make	VERB
faba-298	74	3	lstms	lstms	ADJ
faba-298	74	4	particularly	particularly	ADV
faba-298	74	5	effective	effective	ADJ
faba-298	74	6	for	for	ADP
faba-298	74	7	analyzing	analyze	VERB
faba-298	74	8	and	and	CCONJ
faba-298	74	9	forecasting	forecasting	NOUN
faba-298	74	10	time	time	NOUN
faba-298	74	11	series	series	NOUN
faba-298	74	12	with	with	ADP
faba-298	74	13	long	long	ADJ
faba-298	74	14	intervals	interval	NOUN
faba-298	74	15	or	or	CCONJ
faba-298	74	16	delays	delay	NOUN
faba-298	74	17	between	between	ADP
faba-298	74	18	significant	significant	ADJ
faba-298	74	19	events	event	NOUN
faba-298	74	20	,	,	PUNCT
faba-298	74	21	such	such	ADJ
faba-298	74	22	as	as	ADP
faba-298	74	23	stock	stock	NOUN
faba-298	74	24	prices	price	NOUN
faba-298	74	25	.	.	PUNCT
faba-298	75	1	the	the	DET
faba-298	75	2	primary	primary	ADJ
faba-298	75	3	difference	difference	NOUN
faba-298	75	4	between	between	ADP
faba-298	75	5	lstms	lstms	ADJ
faba-298	75	6	and	and	CCONJ
faba-298	75	7	traditional	traditional	ADJ
faba-298	75	8	rnns	rnn	NOUN
faba-298	75	9	lies	lie	VERB
faba-298	75	10	in	in	ADP
faba-298	75	11	their	their	PRON
faba-298	75	12	internal	internal	ADJ
faba-298	75	13	architecture	architecture	NOUN
faba-298	75	14	.	.	PUNCT
faba-298	76	1	while	while	SCONJ
faba-298	76	2	rnns	rnn	NOUN
faba-298	76	3	update	update	VERB
faba-298	76	4	a	a	DET
faba-298	76	5	single	single	ADJ
faba-298	76	6	hidden	hidden	ADJ
faba-298	76	7	state	state	NOUN
faba-298	76	8	at	at	ADP
faba-298	76	9	each	each	DET
faba-298	76	10	time	time	NOUN
faba-298	76	11	step	step	NOUN
faba-298	76	12	,	,	PUNCT
faba-298	76	13	lstms	lstms	ADJ
faba-298	76	14	feature	feature	VERB
faba-298	76	15	a	a	DET
faba-298	76	16	more	more	ADV
faba-298	76	17	complex	complex	ADJ
faba-298	76	18	memory	memory	NOUN
faba-298	76	19	mechanism	mechanism	NOUN
faba-298	76	20	comprising	comprise	VERB
faba-298	76	21	a	a	DET
faba-298	76	22	cell	cell	NOUN
faba-298	76	23	state	state	NOUN
faba-298	76	24	and	and	CCONJ
faba-298	76	25	three	three	NUM
faba-298	76	26	gates	gate	NOUN
faba-298	76	27	input	input	NOUN
faba-298	76	28	,	,	PUNCT
faba-298	76	29	output	output	NOUN
faba-298	76	30	,	,	PUNCT
faba-298	76	31	and	and	CCONJ
faba-298	76	32	forget	forget	VERB
faba-298	76	33	gates	gate	NOUN
faba-298	76	34	that	that	PRON
faba-298	76	35	regulate	regulate	VERB
faba-298	76	36	information	information	NOUN
faba-298	76	37	flow	flow	NOUN
faba-298	76	38	into	into	ADP
faba-298	76	39	,	,	PUNCT
faba-298	76	40	out	out	ADP
faba-298	76	41	of	of	ADP
faba-298	76	42	,	,	PUNCT
faba-298	76	43	and	and	CCONJ
faba-298	76	44	within	within	ADP
faba-298	76	45	the	the	DET
faba-298	76	46	cell	cell	NOUN
faba-298	76	47	state	state	NOUN
faba-298	76	48	:	:	PUNCT
faba-298	76	49			PRON
faba-298	76	50	cell	cell	NOUN
faba-298	76	51	state	state	NOUN
faba-298	76	52	:	:	PUNCT
faba-298	76	53	functions	function	NOUN
faba-298	76	54	as	as	ADP
faba-298	76	55	a	a	DET
faba-298	76	56	conveyor	conveyor	NOUN
faba-298	76	57	belt	belt	NOUN
faba-298	76	58	,	,	PUNCT
faba-298	76	59	carrying	carry	VERB
faba-298	76	60	information	information	NOUN
faba-298	76	61	across	across	ADP
faba-298	76	62	time	time	NOUN
faba-298	76	63	steps	step	NOUN
faba-298	76	64	with	with	ADP
faba-298	76	65	minimal	minimal	ADJ
faba-298	76	66	modification	modification	NOUN
faba-298	76	67	.	.	PUNCT
faba-298	77	1	unlike	unlike	ADP
faba-298	77	2	the	the	DET
faba-298	77	3	hidden	hidden	ADJ
faba-298	77	4	state	state	NOUN
faba-298	77	5	in	in	ADP
faba-298	77	6	rnns	rnn	NOUN
faba-298	77	7	,	,	PUNCT
faba-298	77	8	the	the	DET
faba-298	77	9	cell	cell	NOUN
faba-298	77	10	state	state	NOUN
faba-298	77	11	is	be	AUX
faba-298	77	12	protected	protect	VERB
faba-298	77	13	by	by	ADP
faba-298	77	14	gates	gate	NOUN
faba-298	77	15	,	,	PUNCT
faba-298	77	16	preventing	prevent	VERB
faba-298	77	17	rapid	rapid	ADJ
faba-298	77	18	changes	change	NOUN
faba-298	77	19	and	and	CCONJ
faba-298	77	20	allowing	allow	VERB
faba-298	77	21	preservation	preservation	NOUN
faba-298	77	22	of	of	ADP
faba-298	77	23	long	long	ADJ
faba-298	77	24	-	-	PUNCT
faba-298	77	25	term	term	NOUN
faba-298	77	26	dependencies	dependency	NOUN
faba-298	77	27	.	.	PUNCT
faba-298	78	1			NOUN
faba-298	78	2	input	input	PROPN
faba-298	78	3	gate	gate	NOUN
faba-298	78	4	:	:	PUNCT
faba-298	78	5	controls	control	NOUN
faba-298	78	6	which	which	PRON
faba-298	78	7	new	new	ADJ
faba-298	78	8	information	information	NOUN
faba-298	78	9	is	be	AUX
faba-298	78	10	added	add	VERB
faba-298	78	11	to	to	ADP
faba-298	78	12	the	the	DET
faba-298	78	13	cell	cell	NOUN
faba-298	78	14	state	state	NOUN
faba-298	78	15	based	base	VERB
faba-298	78	16	on	on	ADP
faba-298	78	17	the	the	DET
faba-298	78	18	current	current	ADJ
faba-298	78	19	input	input	NOUN
faba-298	78	20	and	and	CCONJ
faba-298	78	21	previous	previous	ADJ
faba-298	78	22	hidden	hidden	ADJ
faba-298	78	23	state	state	NOUN
faba-298	78	24	.	.	PUNCT
faba-298	79	1	it	it	PRON
faba-298	79	2	uses	use	VERB
faba-298	79	3	a	a	DET
faba-298	79	4	sigmoid	sigmoid	NOUN
faba-298	79	5	activation	activation	NOUN
faba-298	79	6	to	to	AUX
faba-298	79	7	output	output	VERB
faba-298	79	8	values	value	NOUN
faba-298	79	9	between	between	ADP
faba-298	79	10	0	0	NUM
faba-298	79	11	and	and	CCONJ
faba-298	79	12	1	1	NUM
faba-298	79	13	,	,	PUNCT
faba-298	79	14	where	where	SCONJ
faba-298	79	15	0	0	NUM
faba-298	79	16	means	mean	VERB
faba-298	79	17	no	no	DET
faba-298	79	18	information	information	NOUN
faba-298	79	19	is	be	AUX
faba-298	79	20	added	add	VERB
faba-298	79	21	and	and	CCONJ
faba-298	79	22	1	1	NUM
faba-298	79	23	means	mean	VERB
faba-298	79	24	all	all	DET
faba-298	79	25	information	information	NOUN
faba-298	79	26	is	be	AUX
faba-298	79	27	added	add	VERB
faba-298	79	28	.	.	PUNCT
faba-298	80	1			PROPN
faba-298	80	2	output	output	PROPN
faba-298	80	3	gate	gate	PROPN
faba-298	80	4	:	:	PUNCT
faba-298	80	5	regulates	regulate	VERB
faba-298	80	6	what	what	PRON
faba-298	80	7	information	information	NOUN
faba-298	80	8	from	from	ADP
faba-298	80	9	the	the	DET
faba-298	80	10	cell	cell	NOUN
faba-298	80	11	state	state	NOUN
faba-298	80	12	updates	update	VERB
faba-298	80	13	the	the	DET
faba-298	80	14	hidden	hidden	ADJ
faba-298	80	15	state	state	NOUN
faba-298	80	16	at	at	ADP
faba-298	80	17	the	the	DET
faba-298	80	18	current	current	ADJ
faba-298	80	19	time	time	NOUN
faba-298	80	20	step	step	NOUN
faba-298	80	21	.	.	PUNCT
faba-298	81	1	it	it	PRON
faba-298	81	2	also	also	ADV
faba-298	81	3	applies	apply	VERB
faba-298	81	4	sigmoid	sigmoid	NOUN
faba-298	81	5	activation	activation	NOUN
faba-298	81	6	to	to	PART
faba-298	81	7	filter	filter	NOUN
faba-298	81	8	cell	cell	NOUN
faba-298	81	9	state	state	NOUN
faba-298	81	10	contents	content	NOUN
faba-298	81	11	.	.	PUNCT
faba-298	82	1			NOUN
faba-298	82	2	forget	forget	VERB
faba-298	82	3	gate	gate	PROPN
faba-298	82	4	:	:	PUNCT
faba-298	82	5	determines	determine	NOUN
faba-298	82	6	which	which	DET
faba-298	82	7	information	information	NOUN
faba-298	82	8	from	from	ADP
faba-298	82	9	the	the	DET
faba-298	82	10	previous	previous	ADJ
faba-298	82	11	cell	cell	NOUN
faba-298	82	12	state	state	NOUN
faba-298	82	13	should	should	AUX
faba-298	82	14	be	be	AUX
faba-298	82	15	discarded	discard	VERB
faba-298	82	16	.	.	PUNCT
faba-298	83	1	it	it	PRON
faba-298	83	2	assigns	assign	VERB
faba-298	83	3	a	a	DET
faba-298	83	4	value	value	NOUN
faba-298	83	5	between	between	ADP
faba-298	83	6	0	0	NUM
faba-298	83	7	and	and	CCONJ
faba-298	83	8	1	1	NUM
faba-298	83	9	to	to	ADP
faba-298	83	10	each	each	DET
faba-298	83	11	element	element	NOUN
faba-298	83	12	of	of	ADP
faba-298	83	13	the	the	DET
faba-298	83	14	cell	cell	NOUN
faba-298	83	15	state	state	NOUN
faba-298	83	16	using	use	VERB
faba-298	83	17	a	a	DET
faba-298	83	18	sigmoid	sigmoid	NOUN
faba-298	83	19	function	function	NOUN
faba-298	83	20	values	value	NOUN
faba-298	83	21	near	near	ADP
faba-298	83	22	0	0	NUM
faba-298	83	23	indicate	indicate	VERB
faba-298	83	24	forgetting	forgetting	NOUN
faba-298	83	25	,	,	PUNCT
faba-298	83	26	while	while	SCONJ
faba-298	83	27	values	value	NOUN
faba-298	83	28	near	near	ADP
faba-298	83	29	1	1	NUM
faba-298	83	30	indicate	indicate	VERB
faba-298	83	31	retention	retention	NOUN
faba-298	83	32	.	.	PUNCT
faba-298	84	1	this	this	DET
faba-298	84	2	combination	combination	NOUN
faba-298	84	3	of	of	ADP
faba-298	84	4	gates	gate	NOUN
faba-298	84	5	and	and	CCONJ
faba-298	84	6	cell	cell	NOUN
faba-298	84	7	state	state	NOUN
faba-298	84	8	enables	enable	VERB
faba-298	84	9	lstms	lstms	ADJ
faba-298	84	10	to	to	PART
faba-298	84	11	selectively	selectively	ADV
faba-298	84	12	remember	remember	VERB
faba-298	84	13	and	and	CCONJ
faba-298	84	14	forget	forget	VERB
faba-298	84	15	information	information	NOUN
faba-298	84	16	,	,	PUNCT
faba-298	84	17	effectively	effectively	ADV
faba-298	84	18	managing	manage	VERB
faba-298	84	19	long	long	ADJ
faba-298	84	20	-	-	PUNCT
faba-298	84	21	term	term	NOUN
faba-298	84	22	dependencies	dependency	NOUN
faba-298	84	23	.	.	PUNCT
faba-298	85	1	while	while	SCONJ
faba-298	85	2	traditional	traditional	ADJ
faba-298	85	3	rnns	rnn	NOUN
faba-298	85	4	rely	rely	VERB
faba-298	85	5	solely	solely	ADV
faba-298	85	6	on	on	ADP
faba-298	85	7	the	the	DET
faba-298	85	8	tanh	tanh	PROPN
faba-298	85	9	activation	activation	NOUN
faba-298	85	10	function	function	NOUN
faba-298	85	11	,	,	PUNCT
faba-298	85	12	lstms	lstms	NOUN
faba-298	85	13	employ	employ	VERB
faba-298	85	14	both	both	DET
faba-298	85	15	sigmoid	sigmoid	NOUN
faba-298	85	16	functions	function	NOUN
faba-298	85	17	(	(	PUNCT
faba-298	85	18	for	for	ADP
faba-298	85	19	gate	gate	NOUN
faba-298	85	20	regulation	regulation	NOUN
faba-298	85	21	)	)	PUNCT
faba-298	85	22	and	and	CCONJ
faba-298	85	23	tanh	tanh	PROPN
faba-298	85	24	functions	function	NOUN
faba-298	85	25	,	,	PUNCT
faba-298	85	26	allowing	allow	VERB
faba-298	85	27	more	more	ADV
faba-298	85	28	nuanced	nuanced	ADJ
faba-298	85	29	control	control	NOUN
faba-298	85	30	over	over	ADP
faba-298	85	31	information	information	NOUN
faba-298	85	32	flow	flow	NOUN
faba-298	85	33	.	.	PUNCT
faba-298	86	1	by	by	ADP
faba-298	86	2	overcoming	overcome	VERB
faba-298	86	3	the	the	DET
faba-298	86	4	fundamental	fundamental	ADJ
faba-298	86	5	limitations	limitation	NOUN
faba-298	86	6	of	of	ADP
faba-298	86	7	traditional	traditional	ADJ
faba-298	86	8	rnns	rnn	NOUN
faba-298	86	9	,	,	PUNCT
faba-298	86	10	lstms	lstms	NOUN
faba-298	86	11	have	have	AUX
faba-298	86	12	become	become	VERB
faba-298	86	13	a	a	DET
faba-298	86	14	powerful	powerful	ADJ
faba-298	86	15	tool	tool	NOUN
faba-298	86	16	in	in	ADP
faba-298	86	17	various	various	ADJ
faba-298	86	18	applications	application	NOUN
faba-298	86	19	,	,	PUNCT
faba-298	86	20	including	include	VERB
faba-298	86	21	natural	natural	ADJ
faba-298	86	22	language	language	NOUN
faba-298	86	23	processing	processing	NOUN
faba-298	86	24	,	,	PUNCT
faba-298	86	25	speech	speech	NOUN
faba-298	86	26	recognition	recognition	NOUN
faba-298	86	27	,	,	PUNCT
faba-298	86	28	and	and	CCONJ
faba-298	86	29	crucially	crucially	ADV
faba-298	86	30	,	,	PUNCT
faba-298	86	31	stock	stock	NOUN
faba-298	86	32	price	price	NOUN
faba-298	86	33	prediction	prediction	NOUN
faba-298	86	34	.	.	PUNCT
faba-298	87	1	source	source	NOUN
faba-298	87	2	:	:	PUNCT
faba-298	87	3	author	author	NOUN
faba-298	87	4	figure	figure	NOUN
faba-298	87	5	2	2	NUM
faba-298	87	6	.	.	PUNCT
faba-298	87	7	a	a	DET
faba-298	87	8	flowchart	flowchart	NOUN
faba-298	87	9	based	base	VERB
faba-298	87	10	on	on	ADP
faba-298	87	11	lstm	lstm	NOUN
faba-298	87	12	in	in	ADP
faba-298	87	13	python	python	PROPN
faba-298	87	14	adedeji	adedeji	NOUN
faba-298	87	15	daniel	daniel	PROPN
faba-298	87	16	gbadebo	gbadebo	PROPN
faba-298	87	17	/	/	SYM
faba-298	87	18	finance	finance	PROPN
faba-298	87	19	,	,	PUNCT
faba-298	87	20	accounting	accounting	NOUN
faba-298	87	21	and	and	CCONJ
faba-298	87	22	business	business	NOUN
faba-298	87	23	analysis	analysis	NOUN
faba-298	87	24	,	,	PUNCT
faba-298	87	25	volume	volume	NOUN
faba-298	87	26	7	7	NUM
faba-298	87	27	,	,	PUNCT
faba-298	87	28	issue	issue	NOUN
faba-298	87	29	2	2	NUM
faba-298	87	30	,	,	PUNCT
faba-298	87	31	2025	2025	NUM
faba-298	87	32	308	308	NUM
faba-298	87	33	implementations	implementation	NOUN
faba-298	87	34	stock	stock	NOUN
faba-298	87	35	price	price	NOUN
faba-298	87	36	prediction	prediction	NOUN
faba-298	87	37	is	be	AUX
faba-298	87	38	a	a	DET
faba-298	87	39	complex	complex	ADJ
faba-298	87	40	challenge	challenge	NOUN
faba-298	87	41	due	due	ADP
faba-298	87	42	to	to	ADP
faba-298	87	43	the	the	DET
faba-298	87	44	volatile	volatile	ADJ
faba-298	87	45	and	and	CCONJ
faba-298	87	46	often	often	ADV
faba-298	87	47	unpredictable	unpredictable	ADJ
faba-298	87	48	nature	nature	NOUN
faba-298	87	49	of	of	ADP
faba-298	87	50	financial	financial	ADJ
faba-298	87	51	markets	market	NOUN
faba-298	87	52	.	.	PUNCT
faba-298	88	1	traditional	traditional	ADJ
faba-298	88	2	methods	method	NOUN
faba-298	88	3	frequently	frequently	ADV
faba-298	88	4	fall	fall	VERB
faba-298	88	5	short	short	ADV
faba-298	88	6	in	in	ADP
faba-298	88	7	capturing	capture	VERB
faba-298	88	8	the	the	DET
faba-298	88	9	intricate	intricate	ADJ
faba-298	88	10	patterns	pattern	NOUN
faba-298	88	11	and	and	CCONJ
faba-298	88	12	long	long	ADJ
faba-298	88	13	-	-	PUNCT
faba-298	88	14	term	term	NOUN
faba-298	88	15	dependencies	dependency	NOUN
faba-298	88	16	within	within	ADP
faba-298	88	17	stock	stock	NOUN
faba-298	88	18	market	market	NOUN
faba-298	88	19	data	datum	NOUN
faba-298	88	20	.	.	PUNCT
faba-298	89	1	this	this	PRON
faba-298	89	2	is	be	AUX
faba-298	89	3	where	where	SCONJ
faba-298	89	4	long	long	ADJ
faba-298	89	5	short	short	ADJ
faba-298	89	6	-	-	PUNCT
faba-298	89	7	term	term	NOUN
faba-298	89	8	memory	memory	NOUN
faba-298	89	9	networks	network	NOUN
faba-298	89	10	,	,	PUNCT
faba-298	89	11	a	a	DET
faba-298	89	12	specialized	specialized	ADJ
faba-298	89	13	type	type	NOUN
faba-298	89	14	of	of	ADP
faba-298	89	15	recurrent	recurrent	ADJ
faba-298	89	16	neural	neural	ADJ
faba-298	89	17	network	network	NOUN
faba-298	89	18	,	,	PUNCT
faba-298	89	19	offer	offer	VERB
faba-298	89	20	a	a	DET
faba-298	89	21	significant	significant	ADJ
faba-298	89	22	advantage	advantage	NOUN
faba-298	89	23	.	.	PUNCT
faba-298	90	1	lstms	lstms	ADJ
faba-298	90	2	are	be	AUX
faba-298	90	3	specifically	specifically	ADV
faba-298	90	4	designed	design	VERB
faba-298	90	5	to	to	PART
faba-298	90	6	address	address	VERB
faba-298	90	7	the	the	DET
faba-298	90	8	limitations	limitation	NOUN
faba-298	90	9	of	of	ADP
faba-298	90	10	standard	standard	ADJ
faba-298	90	11	rnns	rnn	NOUN
faba-298	90	12	in	in	ADP
faba-298	90	13	handling	handle	VERB
faba-298	90	14	long	long	ADJ
faba-298	90	15	sequences	sequence	NOUN
faba-298	90	16	.	.	PUNCT
faba-298	91	1	traditional	traditional	ADJ
faba-298	91	2	rnns	rnn	NOUN
faba-298	91	3	suffer	suffer	VERB
faba-298	91	4	from	from	ADP
faba-298	91	5	the	the	DET
faba-298	91	6	vanishing	vanish	VERB
faba-298	91	7	gradient	gradient	NOUN
faba-298	91	8	problem	problem	NOUN
faba-298	91	9	,	,	PUNCT
faba-298	91	10	making	make	VERB
faba-298	91	11	it	it	PRON
faba-298	91	12	difficult	difficult	ADJ
faba-298	91	13	for	for	SCONJ
faba-298	91	14	them	they	PRON
faba-298	91	15	to	to	PART
faba-298	91	16	retain	retain	VERB
faba-298	91	17	information	information	NOUN
faba-298	91	18	over	over	ADP
faba-298	91	19	extended	extended	ADJ
faba-298	91	20	periods	period	NOUN
faba-298	91	21	.	.	PUNCT
faba-298	92	1	lstms	lstms	ADJ
faba-298	92	2	,	,	PUNCT
faba-298	92	3	however	however	ADV
faba-298	92	4	,	,	PUNCT
faba-298	92	5	incorporate	incorporate	VERB
faba-298	92	6	a	a	DET
faba-298	92	7	unique	unique	ADJ
faba-298	92	8	memory	memory	NOUN
faba-298	92	9	cell	cell	NOUN
faba-298	92	10	structure	structure	NOUN
faba-298	92	11	.	.	PUNCT
faba-298	93	1	this	this	DET
faba-298	93	2	structure	structure	NOUN
faba-298	93	3	,	,	PUNCT
faba-298	93	4	composed	compose	VERB
faba-298	93	5	of	of	ADP
faba-298	93	6	gates	gate	NOUN
faba-298	93	7	that	that	PRON
faba-298	93	8	regulate	regulate	VERB
faba-298	93	9	the	the	DET
faba-298	93	10	flow	flow	NOUN
faba-298	93	11	of	of	ADP
faba-298	93	12	information	information	NOUN
faba-298	93	13	,	,	PUNCT
faba-298	93	14	allows	allow	VERB
faba-298	93	15	the	the	DET
faba-298	93	16	network	network	NOUN
faba-298	93	17	to	to	PART
faba-298	93	18	selectively	selectively	ADV
faba-298	93	19	remember	remember	VERB
faba-298	93	20	or	or	CCONJ
faba-298	93	21	forget	forget	VERB
faba-298	93	22	information	information	NOUN
faba-298	93	23	over	over	ADP
faba-298	93	24	time	time	NOUN
faba-298	93	25	.	.	PUNCT
faba-298	94	1	this	this	DET
faba-298	94	2	ability	ability	NOUN
faba-298	94	3	to	to	PART
faba-298	94	4	capture	capture	VERB
faba-298	94	5	long	long	ADJ
faba-298	94	6	-	-	PUNCT
faba-298	94	7	term	term	NOUN
faba-298	94	8	dependencies	dependency	NOUN
faba-298	94	9	is	be	AUX
faba-298	94	10	crucial	crucial	ADJ
faba-298	94	11	for	for	ADP
faba-298	94	12	stock	stock	NOUN
faba-298	94	13	prediction	prediction	NOUN
faba-298	94	14	,	,	PUNCT
faba-298	94	15	as	as	SCONJ
faba-298	94	16	historical	historical	ADJ
faba-298	94	17	trends	trend	NOUN
faba-298	94	18	and	and	CCONJ
faba-298	94	19	market	market	NOUN
faba-298	94	20	events	event	NOUN
faba-298	94	21	can	can	AUX
faba-298	94	22	have	have	VERB
faba-298	94	23	a	a	DET
faba-298	94	24	lasting	last	VERB
faba-298	94	25	impact	impact	NOUN
faba-298	94	26	on	on	ADP
faba-298	94	27	future	future	ADJ
faba-298	94	28	price	price	NOUN
faba-298	94	29	movements	movement	NOUN
faba-298	94	30	.	.	PUNCT
faba-298	95	1	several	several	ADJ
faba-298	95	2	key	key	ADJ
faba-298	95	3	features	feature	NOUN
faba-298	95	4	make	make	VERB
faba-298	95	5	lstms	lstms	ADJ
faba-298	95	6	particularly	particularly	ADV
faba-298	95	7	well	well	ADV
faba-298	95	8	-	-	PUNCT
faba-298	95	9	suited	suited	ADJ
faba-298	95	10	for	for	ADP
faba-298	95	11	stock	stock	NOUN
faba-298	95	12	price	price	NOUN
faba-298	95	13	prediction	prediction	NOUN
faba-298	95	14	:	:	PUNCT
faba-298	95	15	1	1	X
faba-298	95	16	.	.	PUNCT
faba-298	95	17	memory	memory	NOUN
faba-298	95	18	cells	cell	NOUN
faba-298	95	19	:	:	PUNCT
faba-298	95	20	the	the	DET
faba-298	95	21	core	core	NOUN
faba-298	95	22	of	of	ADP
faba-298	95	23	lstm	lstm	PROPN
faba-298	95	24	’s	’s	PART
faba-298	95	25	power	power	NOUN
faba-298	95	26	lies	lie	VERB
faba-298	95	27	in	in	ADP
faba-298	95	28	its	its	PRON
faba-298	95	29	memory	memory	NOUN
faba-298	95	30	cells	cell	NOUN
faba-298	95	31	.	.	PUNCT
faba-298	96	1	these	these	DET
faba-298	96	2	cells	cell	NOUN
faba-298	96	3	maintain	maintain	VERB
faba-298	96	4	information	information	NOUN
faba-298	96	5	over	over	ADP
faba-298	96	6	time	time	NOUN
faba-298	96	7	,	,	PUNCT
faba-298	96	8	allowing	allow	VERB
faba-298	96	9	the	the	DET
faba-298	96	10	network	network	NOUN
faba-298	96	11	to	to	PART
faba-298	96	12	learn	learn	VERB
faba-298	96	13	from	from	ADP
faba-298	96	14	past	past	ADJ
faba-298	96	15	data	datum	NOUN
faba-298	96	16	and	and	CCONJ
faba-298	96	17	apply	apply	VERB
faba-298	96	18	it	it	PRON
faba-298	96	19	to	to	ADP
faba-298	96	20	future	future	ADJ
faba-298	96	21	predictions	prediction	NOUN
faba-298	96	22	(	(	PUNCT
faba-298	96	23	chen	chen	PROPN
faba-298	96	24	et	et	PROPN
faba-298	96	25	al	al	PROPN
faba-298	96	26	.	.	PROPN
faba-298	96	27	2020	2020	NUM
faba-298	96	28	)	)	PUNCT
faba-298	96	29	.	.	PUNCT
faba-298	97	1	2	2	X
faba-298	97	2	.	.	X
faba-298	97	3	handling	handle	VERB
faba-298	97	4	long	long	ADJ
faba-298	97	5	-	-	PUNCT
faba-298	97	6	term	term	NOUN
faba-298	97	7	dependencies	dependency	NOUN
faba-298	97	8	:	:	PUNCT
faba-298	97	9	lstms	lstms	ADJ
faba-298	97	10	excel	excel	VERB
faba-298	97	11	at	at	ADP
faba-298	97	12	capturing	capture	VERB
faba-298	97	13	relationships	relationship	NOUN
faba-298	97	14	between	between	ADP
faba-298	97	15	events	event	NOUN
faba-298	97	16	separated	separate	VERB
faba-298	97	17	by	by	ADP
faba-298	97	18	long	long	ADJ
faba-298	97	19	intervals	interval	NOUN
faba-298	97	20	,	,	PUNCT
faba-298	97	21	a	a	DET
faba-298	97	22	crucial	crucial	ADJ
faba-298	97	23	aspect	aspect	NOUN
faba-298	97	24	of	of	ADP
faba-298	97	25	stock	stock	NOUN
faba-298	97	26	market	market	NOUN
faba-298	97	27	analysis	analysis	NOUN
faba-298	97	28	where	where	SCONJ
faba-298	97	29	past	past	ADJ
faba-298	97	30	events	event	NOUN
faba-298	97	31	can	can	AUX
faba-298	97	32	influence	influence	VERB
faba-298	97	33	future	future	ADJ
faba-298	97	34	prices	price	NOUN
faba-298	97	35	(	(	PUNCT
faba-298	97	36	wang	wang	PROPN
faba-298	97	37	and	and	CCONJ
faba-298	97	38	li	li	PROPN
faba-298	97	39	2021	2021	NUM
faba-298	97	40	)	)	PUNCT
faba-298	97	41	.	.	PUNCT
faba-298	98	1	3	3	X
faba-298	98	2	.	.	X
faba-298	98	3	non	non	ADJ
faba-298	98	4	-	-	ADJ
faba-298	98	5	linearity	linearity	ADJ
faba-298	98	6	:	:	PUNCT
faba-298	98	7	lstms	lstms	NOUN
faba-298	98	8	can	can	AUX
faba-298	98	9	model	model	VERB
faba-298	98	10	complex	complex	ADJ
faba-298	98	11	non	non	ADJ
faba-298	98	12	-	-	ADJ
faba-298	98	13	linear	linear	ADJ
faba-298	98	14	relationships	relationship	NOUN
faba-298	98	15	in	in	ADP
faba-298	98	16	data	datum	NOUN
faba-298	98	17	,	,	PUNCT
faba-298	98	18	which	which	PRON
faba-298	98	19	is	be	AUX
faba-298	98	20	essential	essential	ADJ
faba-298	98	21	for	for	ADP
faba-298	98	22	capturing	capture	VERB
faba-298	98	23	the	the	DET
faba-298	98	24	intricate	intricate	ADJ
faba-298	98	25	dynamics	dynamic	NOUN
faba-298	98	26	of	of	ADP
faba-298	98	27	the	the	DET
faba-298	98	28	stock	stock	NOUN
faba-298	98	29	market	market	NOUN
faba-298	98	30	(	(	PUNCT
faba-298	98	31	zhao	zhao	PROPN
faba-298	98	32	et	et	PROPN
faba-298	98	33	al	al	PROPN
faba-298	98	34	.	.	PROPN
faba-298	98	35	2019	2019	NUM
faba-298	98	36	)	)	PUNCT
faba-298	98	37	.	.	PUNCT
faba-298	99	1	4	4	X
faba-298	99	2	.	.	NOUN
faba-298	99	3	time	time	NOUN
faba-298	99	4	series	series	PROPN
faba-298	99	5	handling	handling	NOUN
faba-298	99	6	:	:	PUNCT
faba-298	99	7	lstms	lstms	ADJ
faba-298	99	8	are	be	AUX
faba-298	99	9	inherently	inherently	ADV
faba-298	99	10	designed	design	VERB
faba-298	99	11	for	for	ADP
faba-298	99	12	sequential	sequential	ADJ
faba-298	99	13	data	datum	NOUN
faba-298	99	14	,	,	PUNCT
faba-298	99	15	making	make	VERB
faba-298	99	16	them	they	PRON
faba-298	99	17	a	a	DET
faba-298	99	18	natural	natural	ADJ
faba-298	99	19	fit	fit	NOUN
faba-298	99	20	for	for	ADP
faba-298	99	21	time	time	NOUN
faba-298	99	22	-	-	PUNCT
faba-298	99	23	series	series	NOUN
faba-298	99	24	analysis	analysis	NOUN
faba-298	99	25	like	like	ADP
faba-298	99	26	stock	stock	NOUN
faba-298	99	27	price	price	NOUN
faba-298	99	28	prediction	prediction	NOUN
faba-298	99	29	(	(	PUNCT
faba-298	99	30	lim	lim	PROPN
faba-298	99	31	et	et	PROPN
faba-298	99	32	al	al	PROPN
faba-298	99	33	.	.	PROPN
faba-298	99	34	2021	2021	NUM
faba-298	99	35	)	)	PUNCT
faba-298	99	36	.	.	PUNCT
faba-298	100	1	compared	compare	VERB
faba-298	100	2	to	to	ADP
faba-298	100	3	traditional	traditional	ADJ
faba-298	100	4	methods	method	NOUN
faba-298	100	5	,	,	PUNCT
faba-298	100	6	lstms	lstms	NOUN
faba-298	100	7	offer	offer	VERB
faba-298	100	8	several	several	ADJ
faba-298	100	9	advantages	advantage	NOUN
faba-298	100	10	:	:	PUNCT
faba-298	100	11	1	1	X
faba-298	100	12	.	.	PUNCT
faba-298	100	13	superior	superior	ADJ
faba-298	100	14	performance	performance	NOUN
faba-298	100	15	:	:	PUNCT
faba-298	100	16	studies	study	NOUN
faba-298	100	17	have	have	AUX
faba-298	100	18	shown	show	VERB
faba-298	100	19	that	that	SCONJ
faba-298	100	20	lstms	lstms	NOUN
faba-298	100	21	often	often	ADV
faba-298	100	22	outperform	outperform	VERB
faba-298	100	23	traditional	traditional	ADJ
faba-298	100	24	time	time	NOUN
faba-298	100	25	-	-	PUNCT
faba-298	100	26	series	series	NOUN
faba-298	100	27	models	model	NOUN
faba-298	100	28	like	like	ADP
faba-298	100	29	arima	arima	PROPN
faba-298	100	30	in	in	ADP
faba-298	100	31	stock	stock	NOUN
faba-298	100	32	price	price	NOUN
faba-298	100	33	prediction	prediction	NOUN
faba-298	100	34	tasks	task	NOUN
faba-298	100	35	(	(	PUNCT
faba-298	100	36	li	li	PROPN
faba-298	100	37	et	et	PROPN
faba-298	100	38	al	al	PROPN
faba-298	100	39	.	.	PROPN
faba-298	100	40	2021	2021	NUM
faba-298	100	41	;	;	PUNCT
faba-298	100	42	zhao	zhao	PROPN
faba-298	100	43	et	et	PROPN
faba-298	100	44	al	al	PROPN
faba-298	100	45	.	.	PROPN
faba-298	100	46	2019	2019	NUM
faba-298	100	47	)	)	PUNCT
faba-298	100	48	.	.	PUNCT
faba-298	101	1	2	2	X
faba-298	101	2	.	.	X
faba-298	101	3	capturing	capture	VERB
faba-298	101	4	complexities	complexity	NOUN
faba-298	101	5	:	:	PUNCT
faba-298	101	6	lstms	lstms	NOUN
faba-298	101	7	can	can	AUX
faba-298	101	8	model	model	VERB
faba-298	101	9	the	the	DET
faba-298	101	10	non	non	ADJ
faba-298	101	11	-	-	ADJ
faba-298	101	12	linear	linear	ADJ
faba-298	101	13	relationships	relationship	NOUN
faba-298	101	14	and	and	CCONJ
faba-298	101	15	long	long	ADJ
faba-298	101	16	-	-	PUNCT
faba-298	101	17	term	term	NOUN
faba-298	101	18	dependencies	dependency	NOUN
faba-298	101	19	that	that	SCONJ
faba-298	101	20	traditional	traditional	ADJ
faba-298	101	21	methods	method	NOUN
faba-298	101	22	often	often	ADV
faba-298	101	23	miss	miss	VERB
faba-298	101	24	.	.	PUNCT
faba-298	102	1	3	3	X
faba-298	102	2	.	.	X
faba-298	102	3	adaptability	adaptability	NOUN
faba-298	102	4	:	:	PUNCT
faba-298	102	5	lstms	lstms	NOUN
faba-298	102	6	can	can	AUX
faba-298	102	7	adapt	adapt	VERB
faba-298	102	8	to	to	ADP
faba-298	102	9	changing	change	VERB
faba-298	102	10	market	market	NOUN
faba-298	102	11	conditions	condition	NOUN
faba-298	102	12	by	by	ADP
faba-298	102	13	continuously	continuously	ADV
faba-298	102	14	learning	learn	VERB
faba-298	102	15	from	from	ADP
faba-298	102	16	new	new	ADJ
faba-298	102	17	data	datum	NOUN
faba-298	102	18	.	.	PUNCT
faba-298	103	1	while	while	SCONJ
faba-298	103	2	lstms	lstms	NOUN
faba-298	103	3	offer	offer	VERB
faba-298	103	4	significant	significant	ADJ
faba-298	103	5	advantages	advantage	NOUN
faba-298	103	6	,	,	PUNCT
faba-298	103	7	stock	stock	NOUN
faba-298	103	8	prediction	prediction	NOUN
faba-298	103	9	remains	remain	VERB
faba-298	103	10	a	a	DET
faba-298	103	11	challenging	challenging	ADJ
faba-298	103	12	task	task	NOUN
faba-298	103	13	.	.	PUNCT
faba-298	104	1	no	no	DET
faba-298	104	2	model	model	NOUN
faba-298	104	3	can	can	AUX
faba-298	104	4	perfectly	perfectly	ADV
faba-298	104	5	predict	predict	VERB
faba-298	104	6	the	the	DET
faba-298	104	7	future	future	NOUN
faba-298	104	8	,	,	PUNCT
faba-298	104	9	and	and	CCONJ
faba-298	104	10	careful	careful	ADJ
faba-298	104	11	consideration	consideration	NOUN
faba-298	104	12	of	of	ADP
faba-298	104	13	data	datum	NOUN
faba-298	104	14	quality	quality	NOUN
faba-298	104	15	,	,	PUNCT
faba-298	104	16	model	model	NOUN
faba-298	104	17	parameters	parameter	NOUN
faba-298	104	18	,	,	PUNCT
faba-298	104	19	and	and	CCONJ
faba-298	104	20	risk	risk	NOUN
faba-298	104	21	management	management	NOUN
faba-298	104	22	is	be	AUX
faba-298	104	23	crucial	crucial	ADJ
faba-298	104	24	for	for	ADP
faba-298	104	25	successful	successful	ADJ
faba-298	104	26	implementation	implementation	NOUN
faba-298	104	27	.	.	PUNCT
faba-298	105	1	stock	stock	NOUN
faba-298	105	2	price	price	NOUN
faba-298	105	3	prediction	prediction	NOUN
faba-298	105	4	is	be	AUX
faba-298	105	5	inherently	inherently	ADV
faba-298	105	6	challenging	challenging	ADJ
faba-298	105	7	due	due	ADJ
faba-298	105	8	to	to	ADP
faba-298	105	9	market	market	NOUN
faba-298	105	10	volatility	volatility	NOUN
faba-298	105	11	and	and	CCONJ
faba-298	105	12	complexity	complexity	NOUN
faba-298	105	13	.	.	PUNCT
faba-298	106	1	traditional	traditional	ADJ
faba-298	106	2	methods	method	NOUN
faba-298	106	3	often	often	ADV
faba-298	106	4	fail	fail	VERB
faba-298	106	5	to	to	PART
faba-298	106	6	capture	capture	VERB
faba-298	106	7	the	the	DET
faba-298	106	8	intricate	intricate	ADJ
faba-298	106	9	long	long	ADJ
faba-298	106	10	-	-	PUNCT
faba-298	106	11	term	term	NOUN
faba-298	106	12	dependencies	dependency	NOUN
faba-298	106	13	in	in	ADP
faba-298	106	14	stock	stock	NOUN
faba-298	106	15	data	datum	NOUN
faba-298	106	16	.	.	PUNCT
faba-298	107	1	long	long	ADJ
faba-298	107	2	short	short	ADJ
faba-298	107	3	-	-	PUNCT
faba-298	107	4	term	term	NOUN
faba-298	107	5	memory	memory	NOUN
faba-298	107	6	networks	network	NOUN
faba-298	107	7	,	,	PUNCT
faba-298	107	8	a	a	DET
faba-298	107	9	specialized	specialized	ADJ
faba-298	107	10	type	type	NOUN
faba-298	107	11	of	of	ADP
faba-298	107	12	recurrent	recurrent	ADJ
faba-298	107	13	neural	neural	ADJ
faba-298	107	14	network	network	NOUN
faba-298	107	15	.	.	PUNCT
faba-298	108	1	lstms	lstms	ADJ
faba-298	108	2	address	address	VERB
faba-298	108	3	the	the	DET
faba-298	108	4	limitations	limitation	NOUN
faba-298	108	5	of	of	ADP
faba-298	108	6	standard	standard	ADJ
faba-298	108	7	rnns	rnn	NOUN
faba-298	108	8	by	by	ADP
faba-298	108	9	incorporating	incorporate	VERB
faba-298	108	10	a	a	DET
faba-298	108	11	memory	memory	NOUN
faba-298	108	12	cell	cell	NOUN
faba-298	108	13	structure	structure	NOUN
faba-298	108	14	that	that	PRON
faba-298	108	15	regulates	regulate	VERB
faba-298	108	16	information	information	NOUN
faba-298	108	17	flow	flow	NOUN
faba-298	108	18	,	,	PUNCT
faba-298	108	19	enabling	enable	VERB
faba-298	108	20	them	they	PRON
faba-298	108	21	to	to	PART
faba-298	108	22	effectively	effectively	ADV
faba-298	108	23	learn	learn	VERB
faba-298	108	24	and	and	CCONJ
faba-298	108	25	retain	retain	VERB
faba-298	108	26	long	long	ADJ
faba-298	108	27	-	-	PUNCT
faba-298	108	28	term	term	NOUN
faba-298	108	29	dependencies	dependency	NOUN
faba-298	108	30	crucial	crucial	ADJ
faba-298	108	31	for	for	ADP
faba-298	108	32	stock	stock	NOUN
faba-298	108	33	prediction	prediction	NOUN
faba-298	108	34	(	(	PUNCT
faba-298	108	35	chen	chen	PROPN
faba-298	108	36	et	et	PROPN
faba-298	108	37	al	al	PROPN
faba-298	108	38	.	.	PROPN
faba-298	108	39	2020	2020	NUM
faba-298	108	40	)	)	PUNCT
faba-298	108	41	.	.	PUNCT
faba-298	109	1	lstms	lstms	PROPN
faba-298	109	2	have	have	AUX
faba-298	109	3	demonstrated	demonstrate	VERB
faba-298	109	4	superior	superior	ADJ
faba-298	109	5	performance	performance	NOUN
faba-298	109	6	compared	compare	VERB
faba-298	109	7	to	to	ADP
faba-298	109	8	traditional	traditional	ADJ
faba-298	109	9	methods	method	NOUN
faba-298	109	10	,	,	PUNCT
faba-298	109	11	capturing	capture	VERB
faba-298	109	12	market	market	NOUN
faba-298	109	13	complexities	complexity	NOUN
faba-298	109	14	and	and	CCONJ
faba-298	109	15	adapting	adapt	VERB
faba-298	109	16	to	to	ADP
faba-298	109	17	changing	change	VERB
faba-298	109	18	conditions	condition	NOUN
faba-298	109	19	.	.	PUNCT
faba-298	110	1	stock	stock	NOUN
faba-298	110	2	prediction	prediction	NOUN
faba-298	110	3	remains	remain	VERB
faba-298	110	4	complex	complex	ADJ
faba-298	110	5	,	,	PUNCT
faba-298	110	6	and	and	CCONJ
faba-298	110	7	careful	careful	ADJ
faba-298	110	8	consideration	consideration	NOUN
faba-298	110	9	of	of	ADP
faba-298	110	10	data	datum	NOUN
faba-298	110	11	,	,	PUNCT
faba-298	110	12	model	model	NOUN
faba-298	110	13	parameters	parameter	NOUN
faba-298	110	14	,	,	PUNCT
faba-298	110	15	and	and	CCONJ
faba-298	110	16	risk	risk	NOUN
faba-298	110	17	management	management	NOUN
faba-298	110	18	is	be	AUX
faba-298	110	19	essential	essential	ADJ
faba-298	110	20	.	.	PUNCT
faba-298	111	1	lstm	lstm	NOUN
faba-298	111	2	networks	network	NOUN
faba-298	111	3	offer	offer	VERB
faba-298	111	4	a	a	DET
faba-298	111	5	promising	promising	ADJ
faba-298	111	6	approach	approach	NOUN
faba-298	111	7	to	to	ADP
faba-298	111	8	improving	improve	VERB
faba-298	111	9	stock	stock	NOUN
faba-298	111	10	price	price	NOUN
faba-298	111	11	prediction	prediction	NOUN
faba-298	111	12	.	.	PUNCT
faba-298	112	1	the	the	DET
faba-298	112	2	lstm	lstm	PROPN
faba-298	112	3	architecture	architecture	NOUN
faba-298	112	4	,	,	PUNCT
faba-298	112	5	illustrated	illustrate	VERB
faba-298	112	6	in	in	ADP
faba-298	112	7	figure	figure	NOUN
faba-298	112	8	3	3	NUM
faba-298	112	9	,	,	PUNCT
faba-298	112	10	is	be	AUX
faba-298	112	11	particularly	particularly	ADV
faba-298	112	12	well	well	ADV
faba-298	112	13	-	-	PUNCT
faba-298	112	14	suited	suited	ADJ
faba-298	112	15	to	to	ADP
faba-298	112	16	this	this	DET
faba-298	112	17	task	task	NOUN
faba-298	112	18	.	.	PUNCT
faba-298	113	1	figure	figure	NOUN
faba-298	113	2	3	3	NUM
faba-298	113	3	.	.	PUNCT
faba-298	114	1	lstm	lstm	ADJ
faba-298	114	2	structure	structure	NOUN
faba-298	114	3	adedeji	adedeji	VERB
faba-298	114	4	daniel	daniel	PROPN
faba-298	114	5	gbadebo	gbadebo	PROPN
faba-298	114	6	/	/	SYM
faba-298	114	7	finance	finance	PROPN
faba-298	114	8	,	,	PUNCT
faba-298	114	9	accounting	accounting	NOUN
faba-298	114	10	and	and	CCONJ
faba-298	114	11	business	business	NOUN
faba-298	114	12	analysis	analysis	NOUN
faba-298	114	13	,	,	PUNCT
faba-298	114	14	volume	volume	NOUN
faba-298	114	15	7	7	NUM
faba-298	114	16	,	,	PUNCT
faba-298	114	17	issue	issue	NOUN
faba-298	114	18	2	2	NUM
faba-298	114	19	,	,	PUNCT
faba-298	114	20	2025	2025	NUM
faba-298	114	21	309	309	NUM
faba-298	114	22	the	the	DET
faba-298	114	23	lstm	lstm	ADJ
faba-298	114	24	architecture	architecture	NOUN
faba-298	114	25	consists	consist	VERB
faba-298	114	26	of	of	ADP
faba-298	114	27	a	a	DET
faba-298	114	28	memory	memory	NOUN
faba-298	114	29	cell	cell	NOUN
faba-298	114	30	,	,	PUNCT
faba-298	114	31	an	an	DET
faba-298	114	32	input	input	NOUN
faba-298	114	33	gate	gate	NOUN
faba-298	114	34	,	,	PUNCT
faba-298	114	35	an	an	DET
faba-298	114	36	output	output	NOUN
faba-298	114	37	gate	gate	NOUN
faba-298	114	38	,	,	PUNCT
faba-298	114	39	and	and	CCONJ
faba-298	114	40	a	a	DET
faba-298	114	41	forget	forget	NOUN
faba-298	114	42	gate	gate	NOUN
faba-298	114	43	.	.	PUNCT
faba-298	115	1	the	the	DET
faba-298	115	2	forget	forget	PROPN
faba-298	115	3	gate	gate	NOUN
faba-298	115	4	𝑓𝑡	𝑓𝑡	PROPN
faba-298	115	5	determines	determine	NOUN
faba-298	115	6	which	which	DET
faba-298	115	7	information	information	NOUN
faba-298	115	8	to	to	PART
faba-298	115	9	discard	discard	VERB
faba-298	115	10	from	from	ADP
faba-298	115	11	the	the	DET
faba-298	115	12	cell	cell	NOUN
faba-298	115	13	state	state	NOUN
faba-298	115	14	.	.	PUNCT
faba-298	116	1	the	the	DET
faba-298	116	2	input	input	NOUN
faba-298	116	3	gate	gate	NOUN
faba-298	116	4	𝑖𝑡	𝑖𝑡	ADP
faba-298	116	5	controls	control	VERB
faba-298	116	6	which	which	PRON
faba-298	116	7	new	new	ADJ
faba-298	116	8	values	value	NOUN
faba-298	116	9	are	be	AUX
faba-298	116	10	added	add	VERB
faba-298	116	11	to	to	ADP
faba-298	116	12	the	the	DET
faba-298	116	13	memory	memory	NOUN
faba-298	116	14	.	.	PUNCT
faba-298	117	1	the	the	DET
faba-298	117	2	output	output	NOUN
faba-298	117	3	gate	gate	NOUN
faba-298	117	4	𝑜𝑡	𝑜𝑡	PROPN
faba-298	117	5	decides	decide	VERB
faba-298	117	6	which	which	DET
faba-298	117	7	parts	part	NOUN
faba-298	117	8	of	of	ADP
faba-298	117	9	the	the	DET
faba-298	117	10	cell	cell	NOUN
faba-298	117	11	state	state	NOUN
faba-298	117	12	and	and	CCONJ
faba-298	117	13	current	current	ADJ
faba-298	117	14	input	input	NOUN
faba-298	117	15	are	be	AUX
faba-298	117	16	output	output	NOUN
faba-298	117	17	.	.	PUNCT
faba-298	118	1	the	the	DET
faba-298	118	2	output	output	NOUN
faba-298	118	3	at	at	ADP
faba-298	118	4	each	each	DET
faba-298	118	5	time	time	NOUN
faba-298	118	6	step	step	NOUN
faba-298	118	7	𝑡	𝑡	PROPN
faba-298	118	8	is	be	AUX
faba-298	118	9	stored	store	VERB
faba-298	118	10	in	in	ADP
faba-298	118	11	ℎ𝑡.	ℎ𝑡.	NOUN
faba-298	118	12	the	the	DET
faba-298	118	13	activation	activation	NOUN
faba-298	118	14	functions	function	NOUN
faba-298	118	15	used	use	VERB
faba-298	118	16	are	be	AUX
faba-298	118	17	sigmoid	sigmoid	NOUN
faba-298	118	18	(	(	PUNCT
faba-298	118	19	𝜎	𝜎	NOUN
faba-298	118	20	)	)	PUNCT
faba-298	118	21	and	and	CCONJ
faba-298	118	22	hyperbolic	hyperbolic	ADJ
faba-298	118	23	tangent	tangent	NOUN
faba-298	118	24	(	(	PUNCT
faba-298	118	25	tanh	tanh	NOUN
faba-298	118	26	)	)	PUNCT
faba-298	118	27	,	,	PUNCT
faba-298	118	28	where	where	SCONJ
faba-298	118	29	sigmoid	sigmoid	NOUN
faba-298	118	30	outputs	output	VERB
faba-298	118	31	values	value	NOUN
faba-298	118	32	between	between	ADP
faba-298	118	33	0	0	NUM
faba-298	118	34	and	and	CCONJ
faba-298	118	35	1	1	NUM
faba-298	118	36	,	,	PUNCT
faba-298	118	37	and	and	CCONJ
faba-298	118	38	tanh	tanh	PROPN
faba-298	118	39	outputs	output	VERB
faba-298	118	40	values	value	NOUN
faba-298	118	41	between	between	ADP
faba-298	118	42	-1	-1	PUNCT
faba-298	118	43	and	and	CCONJ
faba-298	118	44	1	1	X
faba-298	118	45	.	.	PUNCT
faba-298	119	1	the	the	DET
faba-298	119	2	input	input	NOUN
faba-298	119	3	gate	gate	NOUN
faba-298	119	4	is	be	AUX
faba-298	119	5	computed	compute	VERB
faba-298	119	6	as	as	SCONJ
faba-298	119	7	follows	follow	VERB
faba-298	119	8	:	:	PUNCT
faba-298	119	9	𝛾𝑡	𝛾𝑡	ADP
faba-298	119	10	=	=	PUNCT
faba-298	119	11	𝜖(𝜎𝛾	𝜖(𝜎𝛾	NOUN
faba-298	119	12	⋅	⋅	X
faba-298	119	13	[	[	PUNCT
faba-298	119	14	𝛼𝑡	𝛼𝑡	PROPN
faba-298	119	15	,	,	PUNCT
faba-298	119	16	𝜇𝑡−1	𝜇𝑡−1	PROPN
faba-298	119	17	]	]	PUNCT
faba-298	119	18	+	+	NUM
faba-298	119	19	𝜃𝛾	𝜃𝛾	NOUN
faba-298	119	20	)	)	PUNCT
faba-298	119	21	(	(	PUNCT
faba-298	119	22	3	3	X
faba-298	119	23	)	)	PUNCT
faba-298	119	24	δ̃	δ̃	PROPN
faba-298	119	25	=	=	NOUN
faba-298	119	26	tanh(𝜎δ	tanh(𝜎δ	NOUN
faba-298	119	27	⋅	⋅	PROPN
faba-298	119	28	[	[	X
faba-298	119	29	𝛼𝑡	𝛼𝑡	PROPN
faba-298	119	30	,	,	PUNCT
faba-298	119	31	𝜇𝑡−1	𝜇𝑡−1	PROPN
faba-298	119	32	]	]	PUNCT
faba-298	119	33	+	+	NUM
faba-298	119	34	𝜃δ	𝜃δ	X
faba-298	119	35	)	)	PUNCT
faba-298	119	36	(	(	PUNCT
faba-298	119	37	4	4	X
faba-298	119	38	)	)	PUNCT
faba-298	119	39	the	the	DET
faba-298	119	40	forget	forget	NOUN
faba-298	119	41	gate	gate	PROPN
faba-298	119	42	selectively	selectively	ADV
faba-298	119	43	discards	discard	VERB
faba-298	119	44	irrelevant	irrelevant	ADJ
faba-298	119	45	information	information	NOUN
faba-298	119	46	.	.	PUNCT
faba-298	120	1	the	the	DET
faba-298	120	2	remaining	remain	VERB
faba-298	120	3	information	information	NOUN
faba-298	120	4	,	,	PUNCT
faba-298	120	5	together	together	ADV
faba-298	120	6	with	with	ADP
faba-298	120	7	new	new	ADJ
faba-298	120	8	input	input	NOUN
faba-298	120	9	,	,	PUNCT
faba-298	120	10	is	be	AUX
faba-298	120	11	processed	process	VERB
faba-298	120	12	by	by	ADP
faba-298	120	13	the	the	DET
faba-298	120	14	input	input	NOUN
faba-298	120	15	gate	gate	NOUN
faba-298	120	16	(	(	PUNCT
faba-298	120	17	𝑖𝑡	𝑖𝑡	NOUN
faba-298	120	18	)	)	PUNCT
faba-298	120	19	to	to	PART
faba-298	120	20	update	update	VERB
faba-298	120	21	the	the	DET
faba-298	120	22	cell	cell	NOUN
faba-298	120	23	state	state	NOUN
faba-298	120	24	(	(	PUNCT
faba-298	120	25	𝐶𝑡	𝐶𝑡	PROPN
faba-298	120	26	)	)	PUNCT
faba-298	120	27	and	and	CCONJ
faba-298	120	28	store	store	VERB
faba-298	120	29	the	the	DET
faba-298	120	30	current	current	ADJ
faba-298	120	31	state	state	NOUN
faba-298	120	32	(	(	PUNCT
faba-298	120	33	𝐶	𝐶	PROPN
faba-298	120	34	�	�	PROPN
faba-298	120	35	̃	̃	PROPN
faba-298	120	36	�	�	PROPN
faba-298	120	37	):	):	PUNCT
faba-298	120	38	𝜆𝑡	𝜆𝑡	PROPN
faba-298	120	39	=	=	SYM
faba-298	120	40	𝜖(𝜎𝜆	𝜖(𝜎𝜆	PROPN
faba-298	120	41	⋅	⋅	X
faba-298	120	42	[	[	X
faba-298	120	43	𝛼𝑡	𝛼𝑡	PROPN
faba-298	120	44	,	,	PUNCT
faba-298	120	45	𝜇𝑡−1	𝜇𝑡−1	PROPN
faba-298	120	46	]	]	X
faba-298	120	47	+	+	CCONJ
faba-298	120	48	𝜃𝜆	𝜃𝜆	X
faba-298	120	49	)	)	PUNCT
faba-298	120	50	(	(	PUNCT
faba-298	120	51	5	5	X
faba-298	120	52	)	)	PUNCT
faba-298	120	53	δ𝑡	δ𝑡	NOUN
faba-298	120	54	=	=	PUNCT
faba-298	120	55	𝛾𝑡	𝛾𝑡	ADP
faba-298	120	56	⋅	⋅	PROPN
faba-298	120	57	δ̃	δ̃	PROPN
faba-298	120	58	+	+	CCONJ
faba-298	120	59	𝜆𝑡	𝜆𝑡	PROPN
faba-298	120	60	⋅	⋅	PROPN
faba-298	120	61	δ𝑡−1	δ𝑡−1	PROPN
faba-298	120	62	(	(	PUNCT
faba-298	120	63	6	6	NUM
faba-298	120	64	)	)	PUNCT
faba-298	120	65	after	after	SCONJ
faba-298	120	66	the	the	DET
faba-298	120	67	forget	forget	NOUN
faba-298	120	68	and	and	CCONJ
faba-298	120	69	input	input	NOUN
faba-298	120	70	gates	gate	NOUN
faba-298	120	71	process	process	VERB
faba-298	120	72	the	the	DET
faba-298	120	73	information	information	NOUN
faba-298	120	74	,	,	PUNCT
faba-298	120	75	the	the	DET
faba-298	120	76	lstm	lstm	PROPN
faba-298	120	77	cell	cell	NOUN
faba-298	120	78	state	state	NOUN
faba-298	120	79	contains	contain	VERB
faba-298	120	80	both	both	DET
faba-298	120	81	long	long	ADJ
faba-298	120	82	-	-	PUNCT
faba-298	120	83	term	term	NOUN
faba-298	120	84	(	(	PUNCT
faba-298	120	85	𝐶𝑡	𝐶𝑡	PROPN
faba-298	120	86	)	)	PUNCT
faba-298	120	87	and	and	CCONJ
faba-298	120	88	short	short	ADJ
faba-298	120	89	-	-	PUNCT
faba-298	120	90	term	term	NOUN
faba-298	120	91	(	(	PUNCT
faba-298	120	92	ℎ𝑡	ℎ𝑡	NOUN
faba-298	120	93	)	)	PUNCT
faba-298	120	94	information	information	NOUN
faba-298	120	95	.	.	PUNCT
faba-298	121	1	this	this	DET
faba-298	121	2	information	information	NOUN
faba-298	121	3	is	be	AUX
faba-298	121	4	stored	store	VERB
faba-298	121	5	and	and	CCONJ
faba-298	121	6	passed	pass	VERB
faba-298	121	7	as	as	ADP
faba-298	121	8	input	input	NOUN
faba-298	121	9	to	to	ADP
faba-298	121	10	the	the	DET
faba-298	121	11	next	next	ADJ
faba-298	121	12	time	time	NOUN
faba-298	121	13	step	step	NOUN
faba-298	121	14	in	in	ADP
faba-298	121	15	the	the	DET
faba-298	121	16	sequence	sequence	NOUN
faba-298	121	17	:	:	PUNCT
faba-298	121	18	𝛿𝑡	𝛿𝑡	NOUN
faba-298	121	19	=	=	SYM
faba-298	121	20	𝜖(𝜎𝛿	𝜖(𝜎𝛿	X
faba-298	121	21	⋅	⋅	X
faba-298	121	22	[	[	PUNCT
faba-298	121	23	𝛼𝑡	𝛼𝑡	NUM
faba-298	121	24	,	,	PUNCT
faba-298	121	25	𝜇𝑡−1	𝜇𝑡−1	PROPN
faba-298	121	26	]	]	PUNCT
faba-298	121	27	+	+	CCONJ
faba-298	121	28	𝜃𝛿	𝜃𝛿	ADP
faba-298	121	29	)	)	PUNCT
faba-298	121	30	(	(	PUNCT
faba-298	121	31	7	7	X
faba-298	121	32	)	)	PUNCT
faba-298	121	33	𝜇𝑡	𝜇𝑡	NOUN
faba-298	121	34	=	=	SYM
faba-298	121	35	𝛿𝑡	𝛿𝑡	PROPN
faba-298	121	36	⋅	⋅	PROPN
faba-298	121	37	tanh(δ𝑡	tanh(δ𝑡	PROPN
faba-298	121	38	)	)	PUNCT
faba-298	121	39	(	(	PUNCT
faba-298	121	40	8)	8)	NUM
faba-298	121	41	figure	figure	NOUN
faba-298	121	42	3	3	NUM
faba-298	121	43	illustrates	illustrate	VERB
faba-298	121	44	the	the	DET
faba-298	121	45	lstm	lstm	NOUN
faba-298	121	46	-	-	PUNCT
faba-298	121	47	based	base	VERB
faba-298	121	48	stock	stock	NOUN
faba-298	121	49	price	price	NOUN
faba-298	121	50	prediction	prediction	NOUN
faba-298	121	51	process	process	NOUN
faba-298	121	52	implemented	implement	VERB
faba-298	121	53	in	in	ADP
faba-298	121	54	python	python	PROPN
faba-298	121	55	.	.	PUNCT
faba-298	122	1	according	accord	VERB
faba-298	122	2	to	to	ADP
faba-298	122	3	nelson	nelson	PROPN
faba-298	122	4	et	et	PROPN
faba-298	122	5	al	al	PROPN
faba-298	122	6	.	.	PROPN
faba-298	123	1	(	(	PUNCT
faba-298	123	2	2017	2017	NUM
faba-298	123	3	)	)	PUNCT
faba-298	123	4	,	,	PUNCT
faba-298	123	5	the	the	DET
faba-298	123	6	process	process	NOUN
faba-298	123	7	begins	begin	VERB
faba-298	123	8	with	with	ADP
faba-298	123	9	data	datum	NOUN
faba-298	123	10	preprocessing	preprocessing	NOUN
faba-298	123	11	,	,	PUNCT
faba-298	123	12	where	where	SCONJ
faba-298	123	13	raw	raw	ADJ
faba-298	123	14	stock	stock	NOUN
faba-298	123	15	market	market	NOUN
faba-298	123	16	data	datum	NOUN
faba-298	123	17	including	include	VERB
faba-298	123	18	historical	historical	ADJ
faba-298	123	19	prices	price	NOUN
faba-298	123	20	,	,	PUNCT
faba-298	123	21	trading	trading	NOUN
faba-298	123	22	volumes	volume	NOUN
faba-298	123	23	,	,	PUNCT
faba-298	123	24	and	and	CCONJ
faba-298	123	25	technical	technical	ADJ
faba-298	123	26	indicators	indicator	NOUN
faba-298	123	27	are	be	AUX
faba-298	123	28	transformed	transform	VERB
faba-298	123	29	into	into	ADP
faba-298	123	30	a	a	DET
faba-298	123	31	suitable	suitable	ADJ
faba-298	123	32	format	format	NOUN
faba-298	123	33	for	for	ADP
faba-298	123	34	lstm	lstm	ADJ
faba-298	123	35	input	input	NOUN
faba-298	123	36	.	.	PUNCT
faba-298	124	1	this	this	PRON
faba-298	124	2	typically	typically	ADV
faba-298	124	3	involves	involve	VERB
faba-298	124	4	converting	convert	VERB
faba-298	124	5	the	the	DET
faba-298	124	6	data	datum	NOUN
faba-298	124	7	into	into	ADP
faba-298	124	8	tensor	tensor	NOUN
faba-298	124	9	format	format	NOUN
faba-298	124	10	,	,	PUNCT
faba-298	124	11	a	a	DET
faba-298	124	12	multidimensional	multidimensional	ADJ
faba-298	124	13	array	array	NOUN
faba-298	124	14	structure	structure	NOUN
faba-298	124	15	used	use	VERB
faba-298	124	16	in	in	ADP
faba-298	124	17	deep	deep	ADJ
faba-298	124	18	learning	learning	NOUN
faba-298	124	19	frameworks	framework	NOUN
faba-298	124	20	.	.	PUNCT
faba-298	125	1	the	the	DET
faba-298	125	2	lstm	lstm	PROPN
faba-298	125	3	model	model	NOUN
faba-298	125	4	is	be	AUX
faba-298	125	5	trained	train	VERB
faba-298	125	6	with	with	ADP
faba-298	125	7	a	a	DET
faba-298	125	8	batch	batch	NOUN
faba-298	125	9	size	size	NOUN
faba-298	125	10	of	of	ADP
faba-298	125	11	16	16	NUM
faba-298	125	12	,	,	PUNCT
faba-298	125	13	meaning	mean	VERB
faba-298	125	14	that	that	SCONJ
faba-298	125	15	model	model	NOUN
faba-298	125	16	parameters	parameter	NOUN
faba-298	125	17	are	be	AUX
faba-298	125	18	updated	update	VERB
faba-298	125	19	after	after	ADP
faba-298	125	20	processing	process	VERB
faba-298	125	21	16	16	NUM
faba-298	125	22	data	datum	NOUN
faba-298	125	23	points	point	NOUN
faba-298	125	24	.	.	PUNCT
faba-298	126	1	the	the	DET
faba-298	126	2	hidden	hide	VERB
faba-298	126	3	state	state	NOUN
faba-298	126	4	size	size	NOUN
faba-298	126	5	is	be	AUX
faba-298	126	6	set	set	VERB
faba-298	126	7	to	to	ADP
faba-298	126	8	128	128	NUM
faba-298	126	9	,	,	PUNCT
faba-298	126	10	determining	determine	VERB
faba-298	126	11	the	the	DET
faba-298	126	12	model	model	NOUN
faba-298	126	13	’s	’s	PART
faba-298	126	14	capacity	capacity	NOUN
faba-298	126	15	to	to	PART
faba-298	126	16	capture	capture	VERB
faba-298	126	17	temporal	temporal	ADJ
faba-298	126	18	dependencies	dependency	NOUN
faba-298	126	19	.	.	PUNCT
faba-298	127	1	training	training	NOUN
faba-298	127	2	employs	employ	VERB
faba-298	127	3	the	the	DET
faba-298	127	4	root	root	NOUN
faba-298	127	5	mean	mean	ADJ
faba-298	127	6	square	square	ADJ
faba-298	127	7	propagation	propagation	NOUN
faba-298	127	8	(	(	PUNCT
faba-298	127	9	rmsprop	rmsprop	NOUN
faba-298	127	10	)	)	PUNCT
faba-298	127	11	optimizer	optimizer	NOUN
faba-298	127	12	,	,	PUNCT
faba-298	127	13	known	know	VERB
faba-298	127	14	for	for	ADP
faba-298	127	15	its	its	PRON
faba-298	127	16	effectiveness	effectiveness	NOUN
faba-298	127	17	in	in	ADP
faba-298	127	18	handling	handle	VERB
faba-298	127	19	non	non	ADJ
faba-298	127	20	-	-	ADJ
faba-298	127	21	stationary	stationary	ADJ
faba-298	127	22	objectives	objective	NOUN
faba-298	127	23	,	,	PUNCT
faba-298	127	24	with	with	ADP
faba-298	127	25	a	a	DET
faba-298	127	26	learning	learn	VERB
faba-298	127	27	rate	rate	NOUN
faba-298	127	28	of	of	ADP
faba-298	127	29	0.001	0.001	NUM
faba-298	127	30	controlling	controlling	NOUN
faba-298	127	31	parameter	parameter	NOUN
faba-298	127	32	update	update	NOUN
faba-298	127	33	steps	step	NOUN
faba-298	127	34	.	.	PUNCT
faba-298	128	1	the	the	DET
faba-298	128	2	pytorch	pytorch	NOUN
faba-298	128	3	framework	framework	NOUN
faba-298	128	4	facilitates	facilitate	VERB
faba-298	128	5	efficient	efficient	ADJ
faba-298	128	6	model	model	NOUN
faba-298	128	7	training	training	NOUN
faba-298	128	8	by	by	ADP
faba-298	128	9	leveraging	leverage	VERB
faba-298	128	10	gpu	gpu	NOUN
faba-298	128	11	acceleration	acceleration	NOUN
faba-298	128	12	.	.	PUNCT
faba-298	129	1	mean	mean	VERB
faba-298	129	2	squared	square	VERB
faba-298	129	3	error	error	NOUN
faba-298	129	4	(	(	PUNCT
faba-298	129	5	mse	mse	NOUN
faba-298	129	6	)	)	PUNCT
faba-298	129	7	is	be	AUX
faba-298	129	8	used	use	VERB
faba-298	129	9	as	as	ADP
faba-298	129	10	an	an	DET
faba-298	129	11	evaluation	evaluation	NOUN
faba-298	129	12	metric	metric	NOUN
faba-298	129	13	for	for	ADP
faba-298	129	14	lstm	lstm	ADJ
faba-298	129	15	performance	performance	NOUN
faba-298	129	16	in	in	ADP
faba-298	129	17	stock	stock	NOUN
faba-298	129	18	price	price	NOUN
faba-298	129	19	prediction	prediction	NOUN
faba-298	129	20	.	.	PUNCT
faba-298	130	1	lower	low	ADJ
faba-298	130	2	mse	mse	PROPN
faba-298	130	3	indicates	indicate	VERB
faba-298	130	4	better	well	ADJ
faba-298	130	5	accuracy	accuracy	NOUN
faba-298	130	6	.	.	PUNCT
faba-298	131	1	python	python	NOUN
faba-298	131	2	libraries	library	NOUN
faba-298	131	3	such	such	ADJ
faba-298	131	4	as	as	ADP
faba-298	131	5	scikit	scikit	NOUN
faba-298	131	6	-	-	PUNCT
faba-298	131	7	learn	learn	VERB
faba-298	131	8	assist	assist	NOUN
faba-298	131	9	in	in	ADP
faba-298	131	10	mse	mse	NOUN
faba-298	131	11	calculation	calculation	NOUN
faba-298	131	12	.	.	PUNCT
faba-298	132	1	results	result	NOUN
faba-298	132	2	and	and	CCONJ
faba-298	132	3	discussions	discussion	NOUN
faba-298	132	4	results	result	VERB
faba-298	132	5	table	table	VERB
faba-298	132	6	1	1	NUM
faba-298	132	7	presents	present	VERB
faba-298	132	8	the	the	DET
faba-298	132	9	descriptive	descriptive	ADJ
faba-298	132	10	statistics	statistic	NOUN
faba-298	132	11	for	for	ADP
faba-298	132	12	the	the	DET
faba-298	132	13	daily	daily	ADJ
faba-298	132	14	stock	stock	NOUN
faba-298	132	15	prices	price	NOUN
faba-298	132	16	of	of	ADP
faba-298	132	17	four	four	NUM
faba-298	132	18	major	major	ADJ
faba-298	132	19	technology	technology	NOUN
faba-298	132	20	firms	firm	NOUN
faba-298	132	21	,	,	PUNCT
faba-298	132	22	including	include	VERB
faba-298	132	23	tesla	tesla	PROPN
faba-298	132	24	,	,	PUNCT
faba-298	132	25	google	google	NOUN
faba-298	132	26	,	,	PUNCT
faba-298	132	27	apple	apple	NOUN
faba-298	132	28	,	,	PUNCT
faba-298	132	29	and	and	CCONJ
faba-298	132	30	amazon	amazon	NOUN
faba-298	132	31	,	,	PUNCT
faba-298	132	32	over	over	ADP
faba-298	132	33	the	the	DET
faba-298	132	34	2019–2023	2019–2023	NUM
faba-298	132	35	period	period	NOUN
faba-298	132	36	.	.	PUNCT
faba-298	133	1	the	the	DET
faba-298	133	2	mean	mean	ADJ
faba-298	133	3	stock	stock	NOUN
faba-298	133	4	prices	price	NOUN
faba-298	133	5	indicate	indicate	VERB
faba-298	133	6	significant	significant	ADJ
faba-298	133	7	differences	difference	NOUN
faba-298	133	8	in	in	ADP
faba-298	133	9	market	market	NOUN
faba-298	133	10	valuation	valuation	NOUN
faba-298	133	11	across	across	ADP
faba-298	133	12	firms	firm	NOUN
faba-298	133	13	,	,	PUNCT
faba-298	133	14	with	with	ADP
faba-298	133	15	tesla	tesla	PROPN
faba-298	133	16	’s	’s	PART
faba-298	133	17	mean	mean	ADJ
faba-298	133	18	price	price	NOUN
faba-298	133	19	(	(	PUNCT
faba-298	133	20	642.318	642.318	NUM
faba-298	133	21	)	)	PUNCT
faba-298	133	22	far	far	ADV
faba-298	133	23	exceeding	exceed	VERB
faba-298	133	24	those	those	PRON
faba-298	133	25	of	of	ADP
faba-298	133	26	other	other	ADJ
faba-298	133	27	firms	firm	NOUN
faba-298	133	28	,	,	PUNCT
faba-298	133	29	consistent	consistent	ADJ
faba-298	133	30	with	with	ADP
faba-298	133	31	its	its	PRON
faba-298	133	32	high	high	ADJ
faba-298	133	33	volatility	volatility	NOUN
faba-298	133	34	and	and	CCONJ
faba-298	133	35	speculative	speculative	ADJ
faba-298	133	36	investor	investor	NOUN
faba-298	133	37	sentiment	sentiment	NOUN
faba-298	133	38	(	(	PUNCT
faba-298	133	39	baker	baker	NOUN
faba-298	133	40	and	and	CCONJ
faba-298	133	41	wurgler	wurgler	NOUN
faba-298	133	42	2007	2007	NUM
faba-298	133	43	)	)	PUNCT
faba-298	133	44	.	.	PUNCT
faba-298	134	1	the	the	DET
faba-298	134	2	relatively	relatively	ADV
faba-298	134	3	high	high	ADJ
faba-298	134	4	standard	standard	ADJ
faba-298	134	5	deviation	deviation	NOUN
faba-298	134	6	(	(	PUNCT
faba-298	134	7	235.742	235.742	NUM
faba-298	134	8	)	)	PUNCT
faba-298	134	9	for	for	ADP
faba-298	134	10	tesla	tesla	PROPN
faba-298	134	11	underscores	underscore	VERB
faba-298	134	12	the	the	DET
faba-298	134	13	firm	firm	NOUN
faba-298	134	14	’s	’s	PART
faba-298	134	15	sensitivity	sensitivity	NOUN
faba-298	134	16	to	to	ADP
faba-298	134	17	innovation	innovation	NOUN
faba-298	134	18	announcements	announcement	NOUN
faba-298	134	19	,	,	PUNCT
faba-298	134	20	regulatory	regulatory	ADJ
faba-298	134	21	developments	development	NOUN
faba-298	134	22	,	,	PUNCT
faba-298	134	23	and	and	CCONJ
faba-298	134	24	market	market	NOUN
faba-298	134	25	expectations	expectation	NOUN
faba-298	134	26	concerning	concern	VERB
faba-298	134	27	electric	electric	ADJ
faba-298	134	28	vehicles	vehicle	NOUN
faba-298	134	29	and	and	CCONJ
faba-298	134	30	autonomous	autonomous	ADJ
faba-298	134	31	technology	technology	NOUN
faba-298	134	32	in	in	ADP
faba-298	134	33	contrast	contrast	NOUN
faba-298	134	34	,	,	PUNCT
faba-298	134	35	apple	apple	NOUN
faba-298	134	36	and	and	CCONJ
faba-298	134	37	google	google	PROPN
faba-298	134	38	exhibit	exhibit	VERB
faba-298	134	39	more	more	ADV
faba-298	134	40	stable	stable	ADJ
faba-298	134	41	price	price	NOUN
faba-298	134	42	distributions	distribution	NOUN
faba-298	134	43	(	(	PUNCT
faba-298	134	44	standard	standard	ADJ
faba-298	134	45	deviations	deviation	NOUN
faba-298	134	46	of	of	ADP
faba-298	134	47	29.774	29.774	NUM
faba-298	134	48	and	and	CCONJ
faba-298	134	49	24.382	24.382	NUM
faba-298	134	50	,	,	PUNCT
faba-298	134	51	respectively	respectively	ADV
faba-298	134	52	)	)	PUNCT
faba-298	134	53	,	,	PUNCT
faba-298	134	54	reflecting	reflect	VERB
faba-298	134	55	the	the	DET
faba-298	134	56	maturity	maturity	NOUN
faba-298	134	57	and	and	CCONJ
faba-298	134	58	diversification	diversification	NOUN
faba-298	134	59	of	of	ADP
faba-298	134	60	their	their	PRON
faba-298	134	61	product	product	NOUN
faba-298	134	62	ecosystems	ecosystem	NOUN
faba-298	134	63	(	(	PUNCT
faba-298	134	64	fama	fama	NOUN
faba-298	134	65	and	and	CCONJ
faba-298	134	66	french	french	ADJ
faba-298	134	67	2015	2015	NUM
faba-298	134	68	)	)	PUNCT
faba-298	134	69	.	.	PUNCT
faba-298	135	1	all	all	DET
faba-298	135	2	the	the	DET
faba-298	135	3	stock	stock	NOUN
faba-298	135	4	series	series	PROPN
faba-298	135	5	display	display	VERB
faba-298	135	6	positive	positive	ADJ
faba-298	135	7	skewness	skewness	NOUN
faba-298	135	8	,	,	PUNCT
faba-298	135	9	implying	imply	VERB
faba-298	135	10	a	a	DET
faba-298	135	11	longer	long	ADJ
faba-298	135	12	right	right	ADJ
faba-298	135	13	tail	tail	NOUN
faba-298	135	14	in	in	ADP
faba-298	135	15	the	the	DET
faba-298	135	16	distribution	distribution	NOUN
faba-298	135	17	.	.	PUNCT
faba-298	136	1	this	this	PRON
faba-298	136	2	suggests	suggest	VERB
faba-298	136	3	that	that	SCONJ
faba-298	136	4	extreme	extreme	ADJ
faba-298	136	5	positive	positive	ADJ
faba-298	136	6	returns	return	NOUN
faba-298	136	7	,	,	PUNCT
faba-298	136	8	possibly	possibly	ADV
faba-298	136	9	linked	link	VERB
faba-298	136	10	to	to	ADP
faba-298	136	11	earnings	earning	NOUN
faba-298	136	12	surprises	surprise	NOUN
faba-298	136	13	or	or	CCONJ
faba-298	136	14	technological	technological	ADJ
faba-298	136	15	breakthroughs	breakthrough	NOUN
faba-298	136	16	,	,	PUNCT
faba-298	136	17	occur	occur	VERB
faba-298	136	18	more	more	ADV
faba-298	136	19	often	often	ADV
faba-298	136	20	than	than	ADP
faba-298	136	21	extreme	extreme	ADJ
faba-298	136	22	losses	loss	NOUN
faba-298	136	23	.	.	PUNCT
faba-298	137	1	such	such	ADJ
faba-298	137	2	behavior	behavior	NOUN
faba-298	137	3	is	be	AUX
faba-298	137	4	typical	typical	ADJ
faba-298	137	5	of	of	ADP
faba-298	137	6	growth	growth	NOUN
faba-298	137	7	-	-	PUNCT
faba-298	137	8	oriented	orient	VERB
faba-298	137	9	technology	technology	NOUN
faba-298	137	10	stocks	stock	NOUN
faba-298	137	11	,	,	PUNCT
faba-298	137	12	where	where	SCONJ
faba-298	137	13	optimism	optimism	NOUN
faba-298	137	14	can	can	AUX
faba-298	137	15	sustain	sustain	VERB
faba-298	137	16	temporary	temporary	ADJ
faba-298	137	17	overvaluation	overvaluation	NOUN
faba-298	137	18	(	(	PUNCT
faba-298	137	19	shiller	shiller	NOUN
faba-298	137	20	2000	2000	NUM
faba-298	137	21	)	)	PUNCT
faba-298	137	22	.	.	PUNCT
faba-298	138	1	the	the	DET
faba-298	138	2	kurtosis	kurtosis	NOUN
faba-298	138	3	values	value	NOUN
faba-298	138	4	indicate	indicate	VERB
faba-298	138	5	mesokurtic	mesokurtic	ADJ
faba-298	138	6	distributions	distribution	NOUN
faba-298	138	7	,	,	PUNCT
faba-298	138	8	suggesting	suggest	VERB
faba-298	138	9	that	that	SCONJ
faba-298	138	10	price	price	NOUN
faba-298	138	11	fluctuations	fluctuation	NOUN
faba-298	138	12	are	be	AUX
faba-298	138	13	largely	largely	ADV
faba-298	138	14	moderate	moderate	ADJ
faba-298	138	15	and	and	CCONJ
faba-298	138	16	not	not	PART
faba-298	138	17	dominated	dominate	VERB
faba-298	138	18	by	by	ADP
faba-298	138	19	outliers	outlier	NOUN
faba-298	138	20	.	.	PUNCT
faba-298	139	1	this	this	DET
faba-298	139	2	finding	finding	NOUN
faba-298	139	3	aligns	align	VERB
faba-298	139	4	with	with	ADP
faba-298	139	5	the	the	DET
faba-298	139	6	adaptive	adaptive	ADJ
faba-298	139	7	market	market	NOUN
faba-298	139	8	hypothesis	hypothesis	NOUN
faba-298	139	9	(	(	PUNCT
faba-298	139	10	lo	lo	PROPN
faba-298	139	11	2004	2004	NUM
faba-298	139	12	)	)	PUNCT
faba-298	139	13	,	,	PUNCT
faba-298	139	14	which	which	PRON
faba-298	139	15	posits	posit	VERB
faba-298	139	16	that	that	SCONJ
faba-298	139	17	market	market	NOUN
faba-298	139	18	efficiency	efficiency	NOUN
faba-298	139	19	varies	vary	VERB
faba-298	139	20	over	over	ADP
faba-298	139	21	time	time	NOUN
faba-298	139	22	as	as	SCONJ
faba-298	139	23	investors	investor	NOUN
faba-298	139	24	adapt	adapt	VERB
faba-298	139	25	to	to	ADP
faba-298	139	26	evolving	evolve	VERB
faba-298	139	27	information	information	NOUN
faba-298	139	28	conditions	condition	NOUN
faba-298	139	29	.	.	PUNCT
faba-298	140	1	overall	overall	ADV
faba-298	140	2	,	,	PUNCT
faba-298	140	3	the	the	DET
faba-298	140	4	descriptive	descriptive	ADJ
faba-298	140	5	patterns	pattern	NOUN
faba-298	140	6	indicate	indicate	VERB
faba-298	140	7	that	that	SCONJ
faba-298	140	8	the	the	DET
faba-298	140	9	lstm	lstm	NOUN
faba-298	140	10	model	model	NOUN
faba-298	140	11	will	will	AUX
faba-298	140	12	need	need	VERB
faba-298	140	13	to	to	PART
faba-298	140	14	accommodate	accommodate	VERB
faba-298	140	15	volatility	volatility	NOUN
faba-298	140	16	clustering	clustering	NOUN
faba-298	140	17	and	and	CCONJ
faba-298	140	18	nonlinear	nonlinear	ADJ
faba-298	140	19	patterns	pattern	NOUN
faba-298	140	20	typical	typical	ADJ
faba-298	140	21	of	of	ADP
faba-298	140	22	high	high	ADJ
faba-298	140	23	-	-	PUNCT
faba-298	140	24	growth	growth	NOUN
faba-298	140	25	equities	equity	NOUN
faba-298	140	26	.	.	PUNCT
faba-298	141	1	adedeji	adedeji	PROPN
faba-298	141	2	daniel	daniel	PROPN
faba-298	141	3	gbadebo	gbadebo	PROPN
faba-298	141	4	/	/	SYM
faba-298	141	5	finance	finance	PROPN
faba-298	141	6	,	,	PUNCT
faba-298	141	7	accounting	accounting	NOUN
faba-298	141	8	and	and	CCONJ
faba-298	141	9	business	business	NOUN
faba-298	141	10	analysis	analysis	NOUN
faba-298	141	11	,	,	PUNCT
faba-298	141	12	volume	volume	NOUN
faba-298	141	13	7	7	NUM
faba-298	141	14	,	,	PUNCT
faba-298	141	15	issue	issue	NOUN
faba-298	141	16	2	2	NUM
faba-298	141	17	,	,	PUNCT
faba-298	141	18	2025	2025	NUM
faba-298	141	19	310	310	NUM
faba-298	141	20	table	table	NOUN
faba-298	141	21	1	1	NUM
faba-298	141	22	.	.	PUNCT
faba-298	141	23	descriptive	descriptive	ADJ
faba-298	141	24	statistics	statistic	NOUN
faba-298	141	25	of	of	ADP
faba-298	141	26	stock	stock	NOUN
faba-298	141	27	prices	price	NOUN
faba-298	141	28	variable	variable	ADJ
faba-298	141	29	mean	mean	VERB
faba-298	141	30	std	std	PROPN
faba-298	141	31	.	.	PROPN
faba-298	142	1	dev	dev	PROPN
faba-298	142	2	.	.	PUNCT
faba-298	143	1	min	min	PROPN
faba-298	143	2	max	max	PROPN
faba-298	143	3	skewness	skewness	PROPN
faba-298	143	4	kurtosis	kurtosis	VERB
faba-298	143	5	tesla	tesla	PROPN
faba-298	143	6	642.318	642.318	NUM
faba-298	143	7	235.742	235.742	NUM
faba-298	143	8	180.450	180.450	NUM
faba-298	143	9	1242.800	1242.800	NUM
faba-298	143	10	0.941	0.941	NUM
faba-298	143	11	3.218	3.218	NUM
faba-298	143	12	google	google	PROPN
faba-298	143	13	127.456	127.456	NUM
faba-298	143	14	24.382	24.382	NUM
faba-298	143	15	88.510	88.510	NUM
faba-298	143	16	176.280	176.280	NUM
faba-298	143	17	0.617	0.617	NUM
faba-298	143	18	2.845	2.845	NUM
faba-298	143	19	apple	apple	NOUN
faba-298	143	20	142.775	142.775	NUM
faba-298	143	21	29.774	29.774	NUM
faba-298	143	22	82.150	82.150	NUM
faba-298	143	23	198.700	198.700	NUM
faba-298	143	24	0.488	0.488	NUM
faba-298	143	25	2.664	2.664	NUM
faba-298	143	26	amazon	amazon	NOUN
faba-298	143	27	116.389	116.389	NUM
faba-298	143	28	25.965	25.965	NUM
faba-298	143	29	68.430	68.430	NUM
faba-298	143	30	179.500	179.500	NUM
faba-298	143	31	0.732	0.732	NUM
faba-298	143	32	2.921	2.921	NUM
faba-298	143	33	source	source	NOUN
faba-298	143	34	:	:	PUNCT
faba-298	143	35	author	author	NOUN
faba-298	143	36	table	table	NOUN
faba-298	143	37	2	2	NUM
faba-298	143	38	reports	report	VERB
faba-298	143	39	the	the	DET
faba-298	143	40	results	result	NOUN
faba-298	143	41	of	of	ADP
faba-298	143	42	the	the	DET
faba-298	143	43	augmented	augment	VERB
faba-298	143	44	dickey	dickey	PROPN
faba-298	143	45	–	–	PUNCT
faba-298	143	46	fuller	full	ADJ
faba-298	143	47	(	(	PUNCT
faba-298	143	48	adf	adf	NOUN
faba-298	143	49	)	)	PUNCT
faba-298	143	50	test	test	NOUN
faba-298	143	51	for	for	ADP
faba-298	143	52	unit	unit	NOUN
faba-298	143	53	roots	root	NOUN
faba-298	143	54	.	.	PUNCT
faba-298	144	1	at	at	ADP
faba-298	144	2	level	level	NOUN
faba-298	144	3	form	form	NOUN
faba-298	144	4	,	,	PUNCT
faba-298	144	5	none	none	NOUN
faba-298	144	6	of	of	ADP
faba-298	144	7	the	the	DET
faba-298	144	8	stock	stock	NOUN
faba-298	144	9	price	price	NOUN
faba-298	144	10	series	series	NOUN
faba-298	144	11	are	be	AUX
faba-298	144	12	stationary	stationary	ADJ
faba-298	144	13	,	,	PUNCT
faba-298	144	14	as	as	SCONJ
faba-298	144	15	indicated	indicate	VERB
faba-298	144	16	by	by	ADP
faba-298	144	17	t	t	PROPN
faba-298	144	18	-	-	PUNCT
faba-298	144	19	statistics	statistic	NOUN
faba-298	144	20	that	that	PRON
faba-298	144	21	fail	fail	VERB
faba-298	144	22	to	to	PART
faba-298	144	23	reject	reject	VERB
faba-298	144	24	the	the	DET
faba-298	144	25	null	null	ADJ
faba-298	144	26	hypothesis	hypothesis	NOUN
faba-298	144	27	of	of	ADP
faba-298	144	28	a	a	DET
faba-298	144	29	unit	unit	NOUN
faba-298	144	30	root	root	NOUN
faba-298	144	31	.	.	PUNCT
faba-298	145	1	however	however	ADV
faba-298	145	2	,	,	PUNCT
faba-298	145	3	after	after	ADP
faba-298	145	4	first	first	ADJ
faba-298	145	5	differencing	differencing	NOUN
faba-298	145	6	,	,	PUNCT
faba-298	145	7	all	all	DET
faba-298	145	8	series	series	NOUN
faba-298	145	9	become	become	VERB
faba-298	145	10	stationary	stationary	ADJ
faba-298	145	11	with	with	ADP
faba-298	145	12	highly	highly	ADV
faba-298	145	13	significant	significant	ADJ
faba-298	145	14	p	p	NOUN
faba-298	145	15	-	-	PUNCT
faba-298	145	16	values	value	NOUN
faba-298	145	17	(	(	PUNCT
faba-298	145	18	0.000	0.000	NUM
faba-298	145	19	)	)	PUNCT
faba-298	145	20	.	.	PUNCT
faba-298	146	1	this	this	PRON
faba-298	146	2	implies	imply	VERB
faba-298	146	3	that	that	SCONJ
faba-298	146	4	the	the	DET
faba-298	146	5	series	serie	NOUN
faba-298	146	6	are	be	AUX
faba-298	146	7	integrated	integrate	VERB
faba-298	146	8	of	of	ADP
faba-298	146	9	order	order	NOUN
faba-298	146	10	one	one	NUM
faba-298	146	11	,	,	PUNCT
faba-298	146	12	i(1	i(1	PROPN
faba-298	146	13	)	)	PUNCT
faba-298	146	14	,	,	PUNCT
faba-298	146	15	consistent	consistent	ADJ
faba-298	146	16	with	with	ADP
faba-298	146	17	the	the	DET
faba-298	146	18	behavior	behavior	NOUN
faba-298	146	19	of	of	ADP
faba-298	146	20	most	most	ADJ
faba-298	146	21	financial	financial	ADJ
faba-298	146	22	time	time	NOUN
faba-298	146	23	series	series	PROPN
faba-298	146	24	(	(	PUNCT
faba-298	146	25	nelson	nelson	PROPN
faba-298	146	26	and	and	CCONJ
faba-298	146	27	plosser	plosser	NOUN
faba-298	146	28	1982	1982	NUM
faba-298	146	29	)	)	PUNCT
faba-298	146	30	.	.	PUNCT
faba-298	147	1	from	from	ADP
faba-298	147	2	an	an	DET
faba-298	147	3	economic	economic	ADJ
faba-298	147	4	standpoint	standpoint	NOUN
faba-298	147	5	,	,	PUNCT
faba-298	147	6	non	non	ADJ
faba-298	147	7	-	-	NOUN
faba-298	147	8	stationarity	stationarity	NOUN
faba-298	147	9	in	in	ADP
faba-298	147	10	prices	price	NOUN
faba-298	147	11	reflects	reflect	VERB
faba-298	147	12	the	the	DET
faba-298	147	13	random	random	ADJ
faba-298	147	14	walk	walk	NOUN
faba-298	147	15	nature	nature	NOUN
faba-298	147	16	of	of	ADP
faba-298	147	17	asset	asset	NOUN
faba-298	147	18	prices	price	NOUN
faba-298	147	19	under	under	ADP
faba-298	147	20	the	the	DET
faba-298	147	21	efficient	efficient	ADJ
faba-298	147	22	market	market	NOUN
faba-298	147	23	hypothesis	hypothesis	NOUN
faba-298	147	24	(	(	PUNCT
faba-298	147	25	emh	emh	PROPN
faba-298	147	26	)	)	PUNCT
faba-298	147	27	,	,	PUNCT
faba-298	147	28	which	which	PRON
faba-298	147	29	posits	posit	VERB
faba-298	147	30	that	that	SCONJ
faba-298	147	31	price	price	NOUN
faba-298	147	32	changes	change	NOUN
faba-298	147	33	are	be	AUX
faba-298	147	34	driven	drive	VERB
faba-298	147	35	by	by	ADP
faba-298	147	36	new	new	ADJ
faba-298	147	37	,	,	PUNCT
faba-298	147	38	unpredictable	unpredictable	ADJ
faba-298	147	39	information	information	NOUN
faba-298	147	40	(	(	PUNCT
faba-298	147	41	fama	fama	PROPN
faba-298	147	42	1970	1970	NUM
faba-298	147	43	)	)	PUNCT
faba-298	147	44	.	.	PUNCT
faba-298	148	1	stationarity	stationarity	NOUN
faba-298	148	2	achieved	achieve	VERB
faba-298	148	3	after	after	ADP
faba-298	148	4	first	first	ADJ
faba-298	148	5	differencing	differencing	NOUN
faba-298	148	6	implies	imply	VERB
faba-298	148	7	that	that	SCONJ
faba-298	148	8	while	while	SCONJ
faba-298	148	9	the	the	DET
faba-298	148	10	level	level	NOUN
faba-298	148	11	of	of	ADP
faba-298	148	12	stock	stock	NOUN
faba-298	148	13	prices	price	NOUN
faba-298	148	14	follows	follow	VERB
faba-298	148	15	a	a	DET
faba-298	148	16	stochastic	stochastic	ADJ
faba-298	148	17	trend	trend	NOUN
faba-298	148	18	,	,	PUNCT
faba-298	148	19	the	the	DET
faba-298	148	20	returns	return	NOUN
faba-298	148	21	(	(	PUNCT
faba-298	148	22	i.e.	i.e.	X
faba-298	148	23	,	,	PUNCT
faba-298	148	24	first	first	ADJ
faba-298	148	25	differences	difference	NOUN
faba-298	148	26	)	)	PUNCT
faba-298	148	27	are	be	AUX
faba-298	148	28	mean	mean	ADJ
faba-298	148	29	-	-	PUNCT
faba-298	148	30	reverting	revert	VERB
faba-298	148	31	and	and	CCONJ
faba-298	148	32	suitable	suitable	ADJ
faba-298	148	33	for	for	ADP
faba-298	148	34	modeling	modeling	NOUN
faba-298	148	35	and	and	CCONJ
faba-298	148	36	prediction	prediction	NOUN
faba-298	148	37	.	.	PUNCT
faba-298	149	1	for	for	ADP
faba-298	149	2	machine	machine	NOUN
faba-298	149	3	learning	learning	NOUN
faba-298	149	4	models	model	NOUN
faba-298	149	5	such	such	ADJ
faba-298	149	6	as	as	ADP
faba-298	149	7	lstm	lstm	NOUN
faba-298	149	8	,	,	PUNCT
faba-298	149	9	ensuring	ensure	VERB
faba-298	149	10	stationarity	stationarity	NOUN
faba-298	149	11	is	be	AUX
faba-298	149	12	critical	critical	ADJ
faba-298	149	13	,	,	PUNCT
faba-298	149	14	as	as	SCONJ
faba-298	149	15	non	non	ADJ
faba-298	149	16	-	-	ADJ
faba-298	149	17	stationary	stationary	ADJ
faba-298	149	18	inputs	input	NOUN
faba-298	149	19	can	can	AUX
faba-298	149	20	cause	cause	VERB
faba-298	149	21	unstable	unstable	ADJ
faba-298	149	22	gradients	gradient	NOUN
faba-298	149	23	and	and	CCONJ
faba-298	149	24	biased	biased	ADJ
faba-298	149	25	learning	learning	NOUN
faba-298	149	26	(	(	PUNCT
faba-298	149	27	makridakis	makridakis	PROPN
faba-298	149	28	et	et	PROPN
faba-298	149	29	al	al	PROPN
faba-298	149	30	.	.	PROPN
faba-298	149	31	2018	2018	NUM
faba-298	149	32	)	)	PUNCT
faba-298	149	33	.	.	PUNCT
faba-298	150	1	therefore	therefore	ADV
faba-298	150	2	,	,	PUNCT
faba-298	150	3	differencing	difference	VERB
faba-298	150	4	the	the	DET
faba-298	150	5	series	series	NOUN
faba-298	150	6	before	before	ADP
faba-298	150	7	training	training	NOUN
faba-298	150	8	ensures	ensure	VERB
faba-298	150	9	that	that	SCONJ
faba-298	150	10	the	the	DET
faba-298	150	11	neural	neural	ADJ
faba-298	150	12	network	network	NOUN
faba-298	150	13	captures	capture	VERB
faba-298	150	14	short	short	ADJ
faba-298	150	15	-	-	PUNCT
faba-298	150	16	term	term	NOUN
faba-298	150	17	dependencies	dependency	NOUN
faba-298	150	18	and	and	CCONJ
faba-298	150	19	temporal	temporal	ADJ
faba-298	150	20	dynamics	dynamic	NOUN
faba-298	150	21	rather	rather	ADV
faba-298	150	22	than	than	ADP
faba-298	150	23	spurious	spurious	ADJ
faba-298	150	24	correlations	correlation	NOUN
faba-298	150	25	caused	cause	VERB
faba-298	150	26	by	by	ADP
faba-298	150	27	underlying	underlie	VERB
faba-298	150	28	trends	trend	NOUN
faba-298	150	29	.	.	PUNCT
faba-298	151	1	table	table	NOUN
faba-298	151	2	2	2	NUM
faba-298	151	3	.	.	PUNCT
faba-298	151	4	unit	unit	NOUN
faba-298	151	5	root	root	PROPN
faba-298	151	6	test	test	NOUN
faba-298	151	7	results	result	VERB
faba-298	151	8	variable	variable	ADJ
faba-298	151	9	level	level	NOUN
faba-298	151	10	t	t	NOUN
faba-298	151	11	-	-	PUNCT
faba-298	151	12	stat	stat	NOUN
faba-298	151	13	1st	1st	PROPN
faba-298	151	14	diff	diff	PROPN
faba-298	151	15	.	.	PUNCT
faba-298	152	1	t	t	PROPN
faba-298	152	2	-	-	PUNCT
faba-298	152	3	stat	stat	PROPN
faba-298	152	4	stationarity	stationarity	NOUN
faba-298	152	5	p	p	NOUN
faba-298	152	6	-	-	PUNCT
faba-298	152	7	value	value	NOUN
faba-298	152	8	tesla	tesla	NOUN
faba-298	152	9	-1.924	-1.924	PUNCT
faba-298	152	10	-6.732	-6.732	X
faba-298	152	11	stationary	stationary	NOUN
faba-298	152	12	(	(	PUNCT
faba-298	152	13	1st	1st	ADJ
faba-298	152	14	diff	diff	PROPN
faba-298	152	15	.	.	PUNCT
faba-298	152	16	)	)	PUNCT
faba-298	153	1	0.000	0.000	NUM
faba-298	153	2	google	google	PROPN
faba-298	153	3	-2.108	-2.108	PUNCT
faba-298	153	4	-7.144	-7.144	X
faba-298	153	5	stationary	stationary	ADJ
faba-298	153	6	(	(	PUNCT
faba-298	153	7	1st	1st	ADJ
faba-298	153	8	diff	diff	PROPN
faba-298	153	9	.	.	PUNCT
faba-298	153	10	)	)	PUNCT
faba-298	154	1	0.000	0.000	NUM
faba-298	154	2	apple	apple	NOUN
faba-298	154	3	-2.021	-2.021	NOUN
faba-298	154	4	-6.951	-6.951	PROPN
faba-298	154	5	stationary	stationary	ADJ
faba-298	154	6	(	(	PUNCT
faba-298	154	7	1st	1st	ADJ
faba-298	154	8	diff	diff	PROPN
faba-298	154	9	.	.	PUNCT
faba-298	154	10	)	)	PUNCT
faba-298	155	1	0.000	0.000	NUM
faba-298	155	2	amazon	amazon	NOUN
faba-298	155	3	-1.876	-1.876	PUNCT
faba-298	155	4	-6.843	-6.843	PRON
faba-298	155	5	stationary	stationary	ADJ
faba-298	155	6	(	(	PUNCT
faba-298	155	7	1st	1st	ADJ
faba-298	155	8	diff	diff	PROPN
faba-298	155	9	.	.	PUNCT
faba-298	155	10	)	)	PUNCT
faba-298	156	1	0.000	0.000	NUM
faba-298	157	1	note	note	NOUN
faba-298	157	2	:	:	PUNCT
faba-298	157	3	all	all	DET
faba-298	157	4	variables	variable	NOUN
faba-298	157	5	become	become	VERB
faba-298	157	6	stationary	stationary	ADJ
faba-298	157	7	after	after	ADP
faba-298	157	8	first	first	ADJ
faba-298	157	9	differencing	differencing	NOUN
faba-298	157	10	,	,	PUNCT
faba-298	157	11	indicating	indicate	VERB
faba-298	157	12	i(1	i(1	PROPN
faba-298	157	13	)	)	PUNCT
faba-298	157	14	processes	process	NOUN
faba-298	157	15	.	.	PUNCT
faba-298	158	1	this	this	PRON
faba-298	158	2	confirms	confirm	VERB
faba-298	158	3	that	that	SCONJ
faba-298	158	4	differencing	difference	VERB
faba-298	158	5	the	the	DET
faba-298	158	6	data	datum	NOUN
faba-298	158	7	before	before	ADP
faba-298	158	8	training	training	NOUN
faba-298	158	9	prevents	prevent	VERB
faba-298	158	10	bias	bias	NOUN
faba-298	158	11	from	from	ADP
faba-298	158	12	non	non	ADJ
faba-298	158	13	-	-	ADJ
faba-298	158	14	stationary	stationary	ADJ
faba-298	158	15	variance	variance	NOUN
faba-298	158	16	,	,	PUNCT
faba-298	158	17	ensuring	ensure	VERB
faba-298	158	18	stable	stable	ADJ
faba-298	158	19	lstm	lstm	ADJ
faba-298	158	20	learning	learning	NOUN
faba-298	158	21	.	.	PUNCT
faba-298	159	1	table	table	NOUN
faba-298	159	2	3	3	NUM
faba-298	159	3	summarizes	summarize	NOUN
faba-298	159	4	the	the	DET
faba-298	159	5	bai	bai	PROPN
faba-298	159	6	–	–	PUNCT
faba-298	159	7	perron	perron	PROPN
faba-298	159	8	multiple	multiple	ADJ
faba-298	159	9	structural	structural	ADJ
faba-298	159	10	break	break	NOUN
faba-298	159	11	test	test	NOUN
faba-298	159	12	results	result	NOUN
faba-298	159	13	,	,	PUNCT
faba-298	159	14	which	which	PRON
faba-298	159	15	identify	identify	VERB
faba-298	159	16	significant	significant	ADJ
faba-298	159	17	shifts	shift	NOUN
faba-298	159	18	in	in	ADP
faba-298	159	19	the	the	DET
faba-298	159	20	mean	mean	NOUN
faba-298	159	21	and	and	CCONJ
faba-298	159	22	variance	variance	NOUN
faba-298	159	23	of	of	ADP
faba-298	159	24	each	each	DET
faba-298	159	25	stock	stock	NOUN
faba-298	159	26	price	price	NOUN
faba-298	159	27	series	series	NOUN
faba-298	159	28	.	.	PUNCT
faba-298	160	1	the	the	DET
faba-298	160	2	results	result	NOUN
faba-298	160	3	indicate	indicate	VERB
faba-298	160	4	multiple	multiple	ADJ
faba-298	160	5	breaks	break	NOUN
faba-298	160	6	for	for	ADP
faba-298	160	7	tesla	tesla	PROPN
faba-298	160	8	(	(	PUNCT
faba-298	160	9	2020	2020	NUM
faba-298	160	10	–	–	PUNCT
faba-298	160	11	03	03	NUM
faba-298	160	12	,	,	PUNCT
faba-298	160	13	2022–11	2022–11	NUM
faba-298	160	14	)	)	PUNCT
faba-298	160	15	and	and	CCONJ
faba-298	160	16	amazon	amazon	NOUN
faba-298	160	17	(	(	PUNCT
faba-298	160	18	2020–04	2020–04	NUM
faba-298	160	19	,	,	PUNCT
faba-298	160	20	2022–06	2022–06	NUM
faba-298	160	21	)	)	PUNCT
faba-298	160	22	,	,	PUNCT
faba-298	160	23	and	and	CCONJ
faba-298	160	24	single	single	ADJ
faba-298	160	25	breaks	break	NOUN
faba-298	160	26	for	for	ADP
faba-298	160	27	google	google	PROPN
faba-298	160	28	(	(	PUNCT
faba-298	160	29	2021–05	2021–05	ADJ
faba-298	160	30	)	)	PUNCT
faba-298	160	31	and	and	CCONJ
faba-298	160	32	apple	apple	NOUN
faba-298	160	33	(	(	PUNCT
faba-298	160	34	2020	2020	NUM
faba-298	160	35	–	–	PUNCT
faba-298	160	36	09	09	NUM
faba-298	160	37	)	)	PUNCT
faba-298	160	38	.	.	PUNCT
faba-298	161	1	these	these	DET
faba-298	161	2	breakpoints	breakpoint	NOUN
faba-298	161	3	correspond	correspond	VERB
faba-298	161	4	to	to	ADP
faba-298	161	5	major	major	ADJ
faba-298	161	6	macroeconomic	macroeconomic	ADJ
faba-298	161	7	and	and	CCONJ
faba-298	161	8	firm	firm	ADJ
faba-298	161	9	-	-	PUNCT
faba-298	161	10	level	level	NOUN
faba-298	161	11	shocks	shock	NOUN
faba-298	161	12	,	,	PUNCT
faba-298	161	13	including	include	VERB
faba-298	161	14	the	the	DET
faba-298	161	15	covid-19	covid-19	PROPN
faba-298	161	16	pandemic	pandemic	ADJ
faba-298	161	17	,	,	PUNCT
faba-298	161	18	monetary	monetary	ADJ
faba-298	161	19	tightening	tighten	VERB
faba-298	161	20	cycles	cycle	NOUN
faba-298	161	21	,	,	PUNCT
faba-298	161	22	and	and	CCONJ
faba-298	161	23	post	post	ADJ
faba-298	161	24	-	-	ADJ
faba-298	161	25	pandemic	pandemic	ADJ
faba-298	161	26	market	market	NOUN
faba-298	161	27	corrections	correction	NOUN
faba-298	161	28	.	.	PUNCT
faba-298	162	1	the	the	DET
faba-298	162	2	break	break	NOUN
faba-298	162	3	in	in	ADP
faba-298	162	4	march	march	PROPN
faba-298	162	5	–	–	PUNCT
faba-298	162	6	april	april	PROPN
faba-298	162	7	2020	2020	NUM
faba-298	162	8	coincides	coincide	VERB
faba-298	162	9	with	with	ADP
faba-298	162	10	the	the	DET
faba-298	162	11	onset	onset	NOUN
faba-298	162	12	of	of	ADP
faba-298	162	13	global	global	ADJ
faba-298	162	14	lockdowns	lockdown	NOUN
faba-298	162	15	and	and	CCONJ
faba-298	162	16	the	the	DET
faba-298	162	17	ensuing	ensue	VERB
faba-298	162	18	liquidity	liquidity	NOUN
faba-298	162	19	crisis	crisis	NOUN
faba-298	162	20	,	,	PUNCT
faba-298	162	21	which	which	PRON
faba-298	162	22	caused	cause	VERB
faba-298	162	23	widespread	widespread	ADJ
faba-298	162	24	market	market	NOUN
faba-298	162	25	selloffs	selloff	NOUN
faba-298	162	26	(	(	PUNCT
faba-298	162	27	zaremba	zaremba	NOUN
faba-298	162	28	et	et	PROPN
faba-298	162	29	al	al	PROPN
faba-298	162	30	.	.	PROPN
faba-298	162	31	2020	2020	NUM
faba-298	162	32	)	)	PUNCT
faba-298	162	33	.	.	PUNCT
faba-298	163	1	the	the	DET
faba-298	163	2	subsequent	subsequent	ADJ
faba-298	163	3	breaks	break	NOUN
faba-298	163	4	in	in	ADP
faba-298	163	5	2021–2022	2021–2022	NOUN
faba-298	163	6	align	align	VERB
faba-298	163	7	with	with	ADP
faba-298	163	8	policy	policy	NOUN
faba-298	163	9	normalization	normalization	NOUN
faba-298	163	10	by	by	ADP
faba-298	163	11	central	central	ADJ
faba-298	163	12	banks	bank	NOUN
faba-298	163	13	and	and	CCONJ
faba-298	163	14	investor	investor	NOUN
faba-298	163	15	repositioning	reposition	VERB
faba-298	163	16	toward	toward	ADP
faba-298	163	17	value	value	NOUN
faba-298	163	18	stocks	stock	NOUN
faba-298	163	19	following	follow	VERB
faba-298	163	20	inflationary	inflationary	ADJ
faba-298	163	21	pressures	pressure	NOUN
faba-298	163	22	and	and	CCONJ
faba-298	163	23	interest	interest	NOUN
faba-298	163	24	rate	rate	NOUN
faba-298	163	25	hikes	hike	NOUN
faba-298	163	26	(	(	PUNCT
faba-298	163	27	baker	baker	PROPN
faba-298	163	28	et	et	PROPN
faba-298	163	29	al	al	PROPN
faba-298	163	30	.	.	PROPN
faba-298	163	31	,	,	PUNCT
faba-298	163	32	2022	2022	NUM
faba-298	163	33	)	)	PUNCT
faba-298	163	34	.	.	PUNCT
faba-298	164	1	the	the	DET
faba-298	164	2	presence	presence	NOUN
faba-298	164	3	of	of	ADP
faba-298	164	4	structural	structural	ADJ
faba-298	164	5	breaks	break	NOUN
faba-298	164	6	highlights	highlight	VERB
faba-298	164	7	the	the	DET
faba-298	164	8	nonlinear	nonlinear	ADJ
faba-298	164	9	and	and	CCONJ
faba-298	164	10	regime	regime	NOUN
faba-298	164	11	-	-	PUNCT
faba-298	164	12	dependent	dependent	ADJ
faba-298	164	13	nature	nature	NOUN
faba-298	164	14	of	of	ADP
faba-298	164	15	financial	financial	ADJ
faba-298	164	16	time	time	NOUN
faba-298	164	17	series	serie	NOUN
faba-298	164	18	-	-	PUNCT
faba-298	164	19	conditions	condition	NOUN
faba-298	164	20	under	under	ADP
faba-298	164	21	which	which	PRON
faba-298	164	22	traditional	traditional	ADJ
faba-298	164	23	linear	linear	NOUN
faba-298	164	24	models	model	NOUN
faba-298	164	25	often	often	ADV
faba-298	164	26	underperform	underperform	VERB
faba-298	164	27	.	.	PUNCT
faba-298	165	1	to	to	PART
faba-298	165	2	address	address	VERB
faba-298	165	3	these	these	DET
faba-298	165	4	issues	issue	NOUN
faba-298	165	5	,	,	PUNCT
faba-298	165	6	the	the	DET
faba-298	165	7	lstm	lstm	NOUN
faba-298	165	8	framework	framework	NOUN
faba-298	165	9	was	be	AUX
faba-298	165	10	designed	design	VERB
faba-298	165	11	with	with	ADP
faba-298	165	12	dropout	dropout	NOUN
faba-298	165	13	regularization	regularization	NOUN
faba-298	165	14	and	and	CCONJ
faba-298	165	15	normalized	normalize	VERB
faba-298	165	16	input	input	NOUN
faba-298	165	17	(	(	PUNCT
faba-298	165	18	hochreiter	hochreiter	NOUN
faba-298	165	19	and	and	CCONJ
faba-298	165	20	schmidhuber	schmidhuber	NOUN
faba-298	165	21	1997	1997	NUM
faba-298	165	22	)	)	PUNCT
faba-298	165	23	.	.	PUNCT
faba-298	166	1	by	by	ADP
faba-298	166	2	capturing	capture	VERB
faba-298	166	3	long	long	ADJ
faba-298	166	4	-	-	PUNCT
faba-298	166	5	term	term	NOUN
faba-298	166	6	dependencies	dependency	NOUN
faba-298	166	7	and	and	CCONJ
faba-298	166	8	adapting	adapt	VERB
faba-298	166	9	to	to	ADP
faba-298	166	10	evolving	evolve	VERB
faba-298	166	11	market	market	NOUN
faba-298	166	12	regimes	regime	NOUN
faba-298	166	13	,	,	PUNCT
faba-298	166	14	the	the	DET
faba-298	166	15	lstm	lstm	NOUN
faba-298	166	16	model	model	NOUN
faba-298	166	17	can	can	AUX
faba-298	166	18	effectively	effectively	ADV
faba-298	166	19	learn	learn	VERB
faba-298	166	20	the	the	DET
faba-298	166	21	dynamic	dynamic	ADJ
faba-298	166	22	relationships	relationship	NOUN
faba-298	166	23	even	even	ADV
faba-298	166	24	in	in	ADP
faba-298	166	25	the	the	DET
faba-298	166	26	presence	presence	NOUN
faba-298	166	27	of	of	ADP
faba-298	166	28	structural	structural	ADJ
faba-298	166	29	changes	change	NOUN
faba-298	166	30	(	(	PUNCT
faba-298	166	31	zhang	zhang	X
faba-298	166	32	et	et	PROPN
faba-298	166	33	al	al	PROPN
faba-298	166	34	.	.	PROPN
faba-298	166	35	2020	2020	NUM
faba-298	166	36	)	)	PUNCT
faba-298	166	37	.	.	PUNCT
faba-298	167	1	table	table	NOUN
faba-298	168	1	3	3	NUM
faba-298	168	2	.	.	PUNCT
faba-298	168	3	bai	bai	PROPN
faba-298	168	4	–	–	PUNCT
faba-298	168	5	perron	perron	PROPN
faba-298	168	6	structural	structural	ADJ
faba-298	168	7	break	break	NOUN
faba-298	168	8	variable	variable	ADJ
faba-298	168	9	no	no	INTJ
faba-298	168	10	.	.	PUNCT
faba-298	169	1	of	of	ADP
faba-298	169	2	breaks	break	NOUN
faba-298	169	3	break	break	VERB
faba-298	169	4	dates	date	NOUN
faba-298	169	5	(	(	PUNCT
faba-298	169	6	approx	approx	NOUN
faba-298	169	7	.	.	PUNCT
faba-298	169	8	)	)	PUNCT
faba-298	170	1	f	f	X
faba-298	170	2	-	-	PUNCT
faba-298	170	3	statistic	statistic	NOUN
faba-298	170	4	significance	significance	NOUN
faba-298	170	5	tesla	tesla	PROPN
faba-298	170	6	2	2	NUM
faba-298	170	7	2020–03	2020–03	NUM
faba-298	170	8	,	,	PUNCT
faba-298	170	9	2022–11	2022–11	NOUN
faba-298	170	10	12.681	12.681	NUM
faba-298	170	11	0.000	0.000	NUM
faba-298	170	12	google	google	NOUN
faba-298	170	13	1	1	NUM
faba-298	170	14	2021–05	2021–05	NUM
faba-298	170	15	10.324	10.324	NUM
faba-298	170	16	0.001	0.001	NUM
faba-298	170	17	apple	apple	NOUN
faba-298	170	18	1	1	NUM
faba-298	170	19	2020–09	2020–09	NUM
faba-298	170	20	9.742	9.742	NUM
faba-298	170	21	0.002	0.002	NUM
faba-298	170	22	amazon	amazon	NOUN
faba-298	170	23	2	2	NUM
faba-298	170	24	2020–04	2020–04	NUM
faba-298	170	25	,	,	PUNCT
faba-298	170	26	2022–06	2022–06	NUM
faba-298	170	27	11.507	11.507	NUM
faba-298	170	28	0.000	0.000	NUM
faba-298	170	29	source	source	NOUN
faba-298	170	30	:	:	PUNCT
faba-298	170	31	author	author	NOUN
faba-298	170	32	table	table	NOUN
faba-298	170	33	4	4	NUM
faba-298	170	34	(	(	PUNCT
faba-298	170	35	panel	panel	NOUN
faba-298	170	36	1	1	NUM
faba-298	170	37	)	)	PUNCT
faba-298	170	38	shows	show	VERB
faba-298	170	39	tesla	tesla	PROPN
faba-298	170	40	’s	’s	PART
faba-298	170	41	stock	stock	NOUN
faba-298	170	42	prediction	prediction	NOUN
faba-298	170	43	loss	loss	NOUN
faba-298	170	44	is	be	AUX
faba-298	170	45	143.8036	143.8036	NUM
faba-298	170	46	.	.	PUNCT
faba-298	170	47	figure	figure	NOUN
faba-298	170	48	4	4	NUM
faba-298	170	49	depicts	depict	VERB
faba-298	170	50	the	the	DET
faba-298	170	51	various	various	ADJ
faba-298	170	52	plots	plot	NOUN
faba-298	170	53	for	for	ADP
faba-298	170	54	tesla	tesla	PROPN
faba-298	170	55	stock	stock	NOUN
faba-298	170	56	price	price	NOUN
faba-298	170	57	predictions	prediction	NOUN
faba-298	170	58	.	.	PUNCT
faba-298	171	1	panel	panel	NOUN
faba-298	171	2	a	a	PRON
faba-298	171	3	is	be	AUX
faba-298	171	4	the	the	DET
faba-298	171	5	mse	mse	NOUN
faba-298	171	6	loss	loss	NOUN
faba-298	171	7	during	during	ADP
faba-298	171	8	training	training	NOUN
faba-298	171	9	,	,	PUNCT
faba-298	171	10	panel	panel	NOUN
faba-298	171	11	b	b	PROPN
faba-298	171	12	is	be	AUX
faba-298	171	13	the	the	DET
faba-298	171	14	stock	stock	NOUN
faba-298	171	15	price	price	NOUN
faba-298	171	16	prediction	prediction	NOUN
faba-298	171	17	(	(	PUNCT
faba-298	171	18	training	training	NOUN
faba-298	171	19	dataset	dataset	NOUN
faba-298	171	20	)	)	PUNCT
faba-298	171	21	,	,	PUNCT
faba-298	171	22	panel	panel	NOUN
faba-298	171	23	c	c	PROPN
faba-298	171	24	is	be	AUX
faba-298	171	25	stock	stock	NOUN
faba-298	171	26	price	price	NOUN
faba-298	171	27	prediction	prediction	NOUN
faba-298	171	28	(	(	PUNCT
faba-298	171	29	test	test	NOUN
faba-298	171	30	data	datum	NOUN
faba-298	171	31	)	)	PUNCT
faba-298	171	32	,	,	PUNCT
faba-298	171	33	panel	panel	NOUN
faba-298	171	34	d	d	PROPN
faba-298	171	35	is	be	AUX
faba-298	171	36	stock	stock	NOUN
faba-298	171	37	price	price	NOUN
faba-298	171	38	prediction	prediction	NOUN
faba-298	171	39	using	use	VERB
faba-298	171	40	50	50	NUM
faba-298	171	41	adedeji	adedeji	NOUN
faba-298	171	42	daniel	daniel	PROPN
faba-298	171	43	gbadebo	gbadebo	PROPN
faba-298	171	44	/	/	SYM
faba-298	171	45	finance	finance	PROPN
faba-298	171	46	,	,	PUNCT
faba-298	171	47	accounting	accounting	NOUN
faba-298	171	48	and	and	CCONJ
faba-298	171	49	business	business	NOUN
faba-298	171	50	analysis	analysis	NOUN
faba-298	171	51	,	,	PUNCT
faba-298	171	52	volume	volume	NOUN
faba-298	171	53	7	7	NUM
faba-298	171	54	,	,	PUNCT
faba-298	171	55	issue	issue	NOUN
faba-298	171	56	2	2	NUM
faba-298	171	57	,	,	PUNCT
faba-298	171	58	2025	2025	NUM
faba-298	171	59	311	311	NUM
faba-298	171	60	epoch	epoch	NOUN
faba-298	171	61	(	(	PUNCT
faba-298	171	62	training	training	NOUN
faba-298	171	63	data	datum	NOUN
faba-298	171	64	)	)	PUNCT
faba-298	171	65	,	,	PUNCT
faba-298	171	66	panel	panel	NOUN
faba-298	171	67	e	e	NOUN
faba-298	171	68	is	be	AUX
faba-298	171	69	stock	stock	NOUN
faba-298	171	70	price	price	NOUN
faba-298	171	71	prediction	prediction	NOUN
faba-298	171	72	using	use	VERB
faba-298	171	73	50	50	NUM
faba-298	171	74	epoch	epoch	NOUN
faba-298	171	75	(	(	PUNCT
faba-298	171	76	test	test	NOUN
faba-298	171	77	data	datum	NOUN
faba-298	171	78	)	)	PUNCT
faba-298	171	79	.	.	PUNCT
faba-298	172	1	using	use	VERB
faba-298	172	2	epoch	epoch	PROPN
faba-298	172	3	50	50	NUM
faba-298	172	4	for	for	ADP
faba-298	172	5	both	both	CCONJ
faba-298	172	6	the	the	DET
faba-298	172	7	training	training	NOUN
faba-298	172	8	and	and	CCONJ
faba-298	172	9	validation	validation	NOUN
faba-298	172	10	mse	mse	NOUN
faba-298	172	11	loss	loss	NOUN
faba-298	172	12	for	for	ADP
faba-298	172	13	the	the	DET
faba-298	172	14	tesla	tesla	PROPN
faba-298	172	15	stock	stock	NOUN
faba-298	172	16	price	price	NOUN
faba-298	172	17	prediction	prediction	NOUN
faba-298	172	18	,	,	PUNCT
faba-298	172	19	panel	panel	NOUN
faba-298	172	20	a	a	PRON
faba-298	172	21	and	and	CCONJ
faba-298	172	22	b	b	NOUN
faba-298	172	23	depict	depict	NOUN
faba-298	172	24	that	that	PRON
faba-298	172	25	the	the	DET
faba-298	172	26	epoch	epoch	NOUN
faba-298	172	27	50	50	NUM
faba-298	172	28	is	be	AUX
faba-298	172	29	closer	close	ADJ
faba-298	172	30	to	to	ADP
faba-298	172	31	the	the	DET
faba-298	172	32	true	true	ADJ
faba-298	172	33	stock	stock	NOUN
faba-298	172	34	value	value	NOUN
faba-298	172	35	.	.	PUNCT
faba-298	173	1	the	the	DET
faba-298	173	2	evidence	evidence	NOUN
faba-298	173	3	shows	show	VERB
faba-298	173	4	that	that	SCONJ
faba-298	173	5	tesla	tesla	PROPN
faba-298	173	6	’s	’s	PART
faba-298	173	7	stock	stock	NOUN
faba-298	173	8	has	have	AUX
faba-298	173	9	experienced	experience	VERB
faba-298	173	10	a	a	DET
faba-298	173	11	significant	significant	ADJ
faba-298	173	12	downturn	downturn	NOUN
faba-298	173	13	recently	recently	ADV
faba-298	173	14	,	,	PUNCT
faba-298	173	15	marking	mark	VERB
faba-298	173	16	its	its	PRON
faba-298	173	17	worst	bad	ADJ
faba-298	173	18	month	month	NOUN
faba-298	173	19	,	,	PUNCT
faba-298	173	20	quarter	quarter	NOUN
faba-298	173	21	,	,	PUNCT
faba-298	173	22	and	and	CCONJ
faba-298	173	23	year	year	NOUN
faba-298	173	24	on	on	ADP
faba-298	173	25	record	record	NOUN
faba-298	173	26	(	(	PUNCT
faba-298	173	27	das	das	PROPN
faba-298	173	28	et	et	PROPN
faba-298	173	29	al	al	PROPN
faba-298	173	30	.	.	PROPN
faba-298	173	31	2023	2023	NUM
faba-298	173	32	)	)	PUNCT
faba-298	173	33	.	.	PUNCT
faba-298	174	1	a	a	DET
faba-298	174	2	steep	steep	ADJ
faba-298	174	3	decline	decline	NOUN
faba-298	174	4	of	of	ADP
faba-298	174	5	44	44	NUM
faba-298	174	6	%	%	NOUN
faba-298	174	7	in	in	ADP
faba-298	174	8	december	december	PROPN
faba-298	174	9	alone	alone	ADV
faba-298	174	10	represents	represent	VERB
faba-298	174	11	the	the	DET
faba-298	174	12	most	most	ADV
faba-298	174	13	substantial	substantial	ADJ
faba-298	174	14	monthly	monthly	ADJ
faba-298	174	15	drop	drop	NOUN
faba-298	174	16	ever	ever	ADV
faba-298	174	17	recorded	record	VERB
faba-298	174	18	for	for	ADP
faba-298	174	19	the	the	DET
faba-298	174	20	company	company	NOUN
faba-298	174	21	.	.	PUNCT
faba-298	175	1	this	this	DET
faba-298	175	2	downturn	downturn	NOUN
faba-298	175	3	extends	extend	VERB
faba-298	175	4	to	to	ADP
faba-298	175	5	the	the	DET
faba-298	175	6	quarterly	quarterly	ADJ
faba-298	175	7	performance	performance	NOUN
faba-298	175	8	,	,	PUNCT
faba-298	175	9	with	with	ADP
faba-298	175	10	a	a	DET
faba-298	175	11	59	59	NUM
faba-298	175	12	%	%	NOUN
faba-298	175	13	decrease	decrease	NOUN
faba-298	175	14	in	in	ADP
faba-298	175	15	the	the	DET
faba-298	175	16	fourth	fourth	ADJ
faba-298	175	17	quarter	quarter	NOUN
faba-298	175	18	exceeding	exceed	VERB
faba-298	175	19	the	the	DET
faba-298	175	20	previous	previous	ADJ
faba-298	175	21	worst	bad	ADJ
faba-298	175	22	quarter	quarter	NOUN
faba-298	175	23	,	,	PUNCT
faba-298	175	24	q2	q2	NOUN
faba-298	175	25	of	of	ADP
faba-298	175	26	the	the	DET
faba-298	175	27	same	same	ADJ
faba-298	175	28	year	year	NOUN
faba-298	175	29	,	,	PUNCT
faba-298	175	30	which	which	PRON
faba-298	175	31	saw	see	VERB
faba-298	175	32	a	a	DET
faba-298	175	33	38	38	NUM
faba-298	175	34	%	%	NOUN
faba-298	175	35	drop	drop	NOUN
faba-298	175	36	(	(	PUNCT
faba-298	175	37	goswami	goswami	PROPN
faba-298	175	38	2023	2023	NUM
faba-298	175	39	)	)	PUNCT
faba-298	175	40	.	.	PUNCT
faba-298	176	1	several	several	ADJ
faba-298	176	2	factors	factor	NOUN
faba-298	176	3	contribute	contribute	VERB
faba-298	176	4	to	to	ADP
faba-298	176	5	this	this	DET
faba-298	176	6	negative	negative	ADJ
faba-298	176	7	trend	trend	NOUN
faba-298	176	8	,	,	PUNCT
faba-298	176	9	including	include	VERB
faba-298	176	10	expanded	expand	VERB
faba-298	176	11	discounts	discount	NOUN
faba-298	176	12	for	for	ADP
faba-298	176	13	model	model	NOUN
faba-298	176	14	3	3	NUM
faba-298	176	15	and	and	CCONJ
faba-298	176	16	model	model	NOUN
faba-298	176	17	y	y	PROPN
faba-298	176	18	vehicles	vehicle	NOUN
faba-298	176	19	in	in	ADP
faba-298	176	20	north	north	PROPN
faba-298	176	21	america	america	PROPN
faba-298	176	22	and	and	CCONJ
faba-298	176	23	earlier	early	ADJ
faba-298	176	24	incentives	incentive	NOUN
faba-298	176	25	offered	offer	VERB
faba-298	176	26	in	in	ADP
faba-298	176	27	china	china	PROPN
faba-298	176	28	.	.	PUNCT
faba-298	177	1	additionally	additionally	ADV
faba-298	177	2	,	,	PUNCT
faba-298	177	3	production	production	NOUN
faba-298	177	4	cuts	cut	NOUN
faba-298	177	5	at	at	ADP
faba-298	177	6	the	the	DET
faba-298	177	7	shanghai	shanghai	PROPN
faba-298	177	8	facility	facility	NOUN
faba-298	177	9	,	,	PUNCT
faba-298	177	10	though	though	SCONJ
faba-298	177	11	possibly	possibly	ADV
faba-298	177	12	denied	deny	VERB
faba-298	177	13	by	by	ADP
faba-298	177	14	the	the	DET
faba-298	177	15	company	company	NOUN
faba-298	177	16	,	,	PUNCT
faba-298	177	17	add	add	VERB
faba-298	177	18	to	to	ADP
faba-298	177	19	the	the	DET
faba-298	177	20	uncertainty	uncertainty	NOUN
faba-298	177	21	surrounding	surround	VERB
faba-298	177	22	tesla	tesla	PROPN
faba-298	177	23	’s	’s	PART
faba-298	177	24	recent	recent	ADJ
faba-298	177	25	performance	performance	NOUN
faba-298	177	26	(	(	PUNCT
faba-298	177	27	lupton	lupton	PROPN
faba-298	177	28	et	et	PROPN
faba-298	177	29	al	al	PROPN
faba-298	177	30	.	.	PROPN
faba-298	177	31	2022	2022	NUM
faba-298	177	32	)	)	PUNCT
faba-298	177	33	.	.	PUNCT
faba-298	178	1	the	the	DET
faba-298	178	2	stock	stock	NOUN
faba-298	178	3	’s	’s	PART
faba-298	178	4	decline	decline	NOUN
faba-298	178	5	has	have	AUX
faba-298	178	6	transformed	transform	VERB
faba-298	178	7	it	it	PRON
faba-298	178	8	from	from	ADP
faba-298	178	9	an	an	DET
faba-298	178	10	"	"	PUNCT
faba-298	178	11	object	object	NOUN
faba-298	178	12	of	of	ADP
faba-298	178	13	religious	religious	ADJ
faba-298	178	14	veneration	veneration	NOUN
faba-298	178	15	"	"	PUNCT
faba-298	178	16	to	to	ADP
faba-298	178	17	a	a	DET
faba-298	178	18	more	more	ADV
faba-298	178	19	conventional	conventional	ADJ
faba-298	178	20	automaker	automaker	NOUN
faba-298	178	21	facing	face	VERB
faba-298	178	22	the	the	DET
faba-298	178	23	realities	reality	NOUN
faba-298	178	24	of	of	ADP
faba-298	178	25	the	the	DET
faba-298	178	26	electric	electric	ADJ
faba-298	178	27	vehicle	vehicle	NOUN
faba-298	178	28	market	market	NOUN
faba-298	178	29	(	(	PUNCT
faba-298	178	30	jain	jain	PROPN
faba-298	178	31	2017	2017	NUM
faba-298	178	32	)	)	PUNCT
faba-298	178	33	.	.	PUNCT
faba-298	179	1	increased	increase	VERB
faba-298	179	2	trading	trading	NOUN
faba-298	179	3	volume	volume	NOUN
faba-298	179	4	since	since	SCONJ
faba-298	179	5	mid	mid	PROPN
faba-298	179	6	-	-	PROPN
faba-298	179	7	december	december	PROPN
faba-298	179	8	further	far	ADV
faba-298	179	9	reflects	reflect	VERB
faba-298	179	10	the	the	DET
faba-298	179	11	market	market	NOUN
faba-298	179	12	’s	’s	PART
faba-298	179	13	reaction	reaction	NOUN
faba-298	179	14	to	to	ADP
faba-298	179	15	these	these	DET
faba-298	179	16	developments	development	NOUN
faba-298	179	17	(	(	PUNCT
faba-298	179	18	goswami	goswami	NOUN
faba-298	179	19	2023	2023	NUM
faba-298	179	20	)	)	PUNCT
faba-298	179	21	.	.	PUNCT
faba-298	180	1	panel	panel	NOUN
faba-298	180	2	a	a	DET
faba-298	180	3	:	:	PUNCT
faba-298	180	4	mse	mse	NOUN
faba-298	180	5	loss	loss	NOUN
faba-298	180	6	during	during	ADP
faba-298	180	7	training	training	NOUN
faba-298	180	8	(	(	PUNCT
faba-298	180	9	tesla	tesla	PROPN
faba-298	180	10	)	)	PUNCT
faba-298	180	11	panel	panel	NOUN
faba-298	180	12	b	b	NOUN
faba-298	180	13	:	:	PUNCT
faba-298	180	14	stock	stock	NOUN
faba-298	180	15	price	price	NOUN
faba-298	180	16	prediction	prediction	NOUN
faba-298	180	17	(	(	PUNCT
faba-298	180	18	training	training	NOUN
faba-298	180	19	)	)	PUNCT
faba-298	180	20	adedeji	adedeji	NOUN
faba-298	180	21	daniel	daniel	PROPN
faba-298	180	22	gbadebo	gbadebo	PROPN
faba-298	180	23	/	/	SYM
faba-298	180	24	finance	finance	PROPN
faba-298	180	25	,	,	PUNCT
faba-298	180	26	accounting	accounting	NOUN
faba-298	180	27	and	and	CCONJ
faba-298	180	28	business	business	NOUN
faba-298	180	29	analysis	analysis	NOUN
faba-298	180	30	,	,	PUNCT
faba-298	180	31	volume	volume	NOUN
faba-298	180	32	7	7	NUM
faba-298	180	33	,	,	PUNCT
faba-298	180	34	issue	issue	NOUN
faba-298	180	35	2	2	NUM
faba-298	180	36	,	,	PUNCT
faba-298	180	37	2025	2025	NUM
faba-298	180	38	312	312	NUM
faba-298	180	39	panel	panel	NOUN
faba-298	180	40	c	c	NOUN
faba-298	180	41	:	:	PUNCT
faba-298	180	42	stock	stock	NOUN
faba-298	180	43	price	price	NOUN
faba-298	180	44	prediction	prediction	NOUN
faba-298	180	45	(	(	PUNCT
faba-298	180	46	testing	testing	NOUN
faba-298	180	47	)	)	PUNCT
faba-298	180	48	panel	panel	NOUN
faba-298	180	49	d	d	NOUN
faba-298	180	50	:	:	PUNCT
faba-298	180	51	stock	stock	NOUN
faba-298	180	52	price	price	NOUN
faba-298	180	53	prediction	prediction	NOUN
faba-298	180	54	using	use	VERB
faba-298	180	55	epoch	epoch	NOUN
faba-298	180	56	=	=	SYM
faba-298	180	57	50	50	NUM
faba-298	180	58	(	(	PUNCT
faba-298	180	59	testing	testing	NOUN
faba-298	180	60	)	)	PUNCT
faba-298	180	61	panel	panel	NOUN
faba-298	180	62	e	e	NOUN
faba-298	180	63	:	:	PUNCT
faba-298	180	64	stock	stock	NOUN
faba-298	180	65	price	price	NOUN
faba-298	180	66	prediction	prediction	NOUN
faba-298	180	67	using	use	VERB
faba-298	180	68	epoch	epoch	NOUN
faba-298	180	69	=	=	SYM
faba-298	180	70	50	50	NUM
faba-298	180	71	(	(	PUNCT
faba-298	180	72	testing	testing	NOUN
faba-298	180	73	source	source	NOUN
faba-298	180	74	:	:	PUNCT
faba-298	180	75	author	author	NOUN
faba-298	180	76	figure	figure	NOUN
faba-298	180	77	4	4	NUM
faba-298	180	78	.	.	PUNCT
faba-298	180	79	tesla	tesla	PROPN
faba-298	180	80	predictions	prediction	NOUN
faba-298	180	81	(	(	PUNCT
faba-298	180	82	panel	panel	NOUN
faba-298	180	83	a	a	NOUN
faba-298	180	84	-	-	PUNCT
faba-298	180	85	e	e	NOUN
faba-298	180	86	)	)	PUNCT
faba-298	180	87	table	table	NOUN
faba-298	180	88	4	4	NUM
faba-298	180	89	(	(	PUNCT
faba-298	180	90	panel	panel	NOUN
faba-298	180	91	2	2	NUM
faba-298	180	92	)	)	PUNCT
faba-298	180	93	shows	show	VERB
faba-298	180	94	google	google	PROPN
faba-298	180	95	’s	’s	PART
faba-298	180	96	stock	stock	NOUN
faba-298	180	97	prediction	prediction	NOUN
faba-298	180	98	is	be	AUX
faba-298	180	99	1.5394	1.5394	NUM
faba-298	180	100	.	.	PUNCT
faba-298	181	1	figure	figure	NOUN
faba-298	181	2	5	5	NUM
faba-298	181	3	depicts	depict	VERB
faba-298	181	4	the	the	DET
faba-298	181	5	various	various	ADJ
faba-298	181	6	plots	plot	NOUN
faba-298	181	7	for	for	ADP
faba-298	181	8	google	google	PROPN
faba-298	181	9	’s	’s	PART
faba-298	181	10	stock	stock	NOUN
faba-298	181	11	price	price	NOUN
faba-298	181	12	predictions	prediction	NOUN
faba-298	181	13	.	.	PUNCT
faba-298	182	1	panel	panel	NOUN
faba-298	182	2	f	f	PROPN
faba-298	182	3	is	be	AUX
faba-298	182	4	the	the	DET
faba-298	182	5	mse	mse	PROPN
faba-298	182	6	loss	loss	NOUN
faba-298	182	7	during	during	ADP
faba-298	182	8	training	training	NOUN
faba-298	182	9	,	,	PUNCT
faba-298	182	10	panel	panel	NOUN
faba-298	182	11	g	g	PROPN
faba-298	182	12	is	be	AUX
faba-298	182	13	the	the	DET
faba-298	182	14	stock	stock	NOUN
faba-298	182	15	price	price	NOUN
faba-298	182	16	prediction	prediction	NOUN
faba-298	182	17	adedeji	adedeji	VERB
faba-298	182	18	daniel	daniel	PROPN
faba-298	182	19	gbadebo	gbadebo	PROPN
faba-298	182	20	/	/	SYM
faba-298	182	21	finance	finance	PROPN
faba-298	182	22	,	,	PUNCT
faba-298	182	23	accounting	accounting	NOUN
faba-298	182	24	and	and	CCONJ
faba-298	182	25	business	business	NOUN
faba-298	182	26	analysis	analysis	NOUN
faba-298	182	27	,	,	PUNCT
faba-298	182	28	volume	volume	NOUN
faba-298	182	29	7	7	NUM
faba-298	182	30	,	,	PUNCT
faba-298	182	31	issue	issue	NOUN
faba-298	182	32	2	2	NUM
faba-298	182	33	,	,	PUNCT
faba-298	182	34	2025	2025	NUM
faba-298	182	35	313	313	NUM
faba-298	182	36	(	(	PUNCT
faba-298	182	37	training	train	VERB
faba-298	182	38	dataset	dataset	NOUN
faba-298	182	39	)	)	PUNCT
faba-298	182	40	,	,	PUNCT
faba-298	182	41	panel	panel	NOUN
faba-298	182	42	h	h	NOUN
faba-298	182	43	is	be	AUX
faba-298	182	44	stock	stock	NOUN
faba-298	182	45	price	price	NOUN
faba-298	182	46	prediction	prediction	NOUN
faba-298	182	47	(	(	PUNCT
faba-298	182	48	test	test	NOUN
faba-298	182	49	data	datum	NOUN
faba-298	182	50	)	)	PUNCT
faba-298	182	51	,	,	PUNCT
faba-298	182	52	panel	panel	NOUN
faba-298	182	53	i	i	PRON
faba-298	182	54	is	be	AUX
faba-298	182	55	stock	stock	NOUN
faba-298	182	56	price	price	NOUN
faba-298	182	57	prediction	prediction	NOUN
faba-298	182	58	using	use	VERB
faba-298	182	59	50	50	NUM
faba-298	182	60	epoch	epoch	NOUN
faba-298	182	61	(	(	PUNCT
faba-298	182	62	training	training	NOUN
faba-298	182	63	data	datum	NOUN
faba-298	182	64	)	)	PUNCT
faba-298	182	65	,	,	PUNCT
faba-298	182	66	panel	panel	NOUN
faba-298	182	67	j	j	PROPN
faba-298	182	68	is	be	AUX
faba-298	182	69	stock	stock	NOUN
faba-298	182	70	price	price	NOUN
faba-298	182	71	prediction	prediction	NOUN
faba-298	182	72	using	use	VERB
faba-298	182	73	50	50	NUM
faba-298	182	74	epoch	epoch	NOUN
faba-298	182	75	(	(	PUNCT
faba-298	182	76	test	test	NOUN
faba-298	182	77	data	datum	NOUN
faba-298	182	78	)	)	PUNCT
faba-298	182	79	.	.	PUNCT
faba-298	183	1	using	use	VERB
faba-298	183	2	epoch	epoch	PROPN
faba-298	183	3	50	50	NUM
faba-298	183	4	for	for	ADP
faba-298	183	5	both	both	CCONJ
faba-298	183	6	the	the	DET
faba-298	183	7	training	training	NOUN
faba-298	183	8	and	and	CCONJ
faba-298	183	9	validation	validation	NOUN
faba-298	183	10	mse	mse	NOUN
faba-298	183	11	loss	loss	NOUN
faba-298	183	12	for	for	ADP
faba-298	183	13	the	the	DET
faba-298	183	14	google	google	PROPN
faba-298	183	15	stock	stock	NOUN
faba-298	183	16	price	price	NOUN
faba-298	183	17	prediction	prediction	NOUN
faba-298	183	18	,	,	PUNCT
faba-298	183	19	panel	panel	NOUN
faba-298	183	20	a	a	PRON
faba-298	183	21	and	and	CCONJ
faba-298	183	22	b	b	NOUN
faba-298	183	23	depict	depict	NOUN
faba-298	183	24	that	that	PRON
faba-298	183	25	the	the	DET
faba-298	183	26	epoch	epoch	NOUN
faba-298	183	27	50	50	NUM
faba-298	183	28	is	be	AUX
faba-298	183	29	closer	close	ADJ
faba-298	183	30	to	to	ADP
faba-298	183	31	the	the	DET
faba-298	183	32	true	true	ADJ
faba-298	183	33	stock	stock	NOUN
faba-298	183	34	value	value	NOUN
faba-298	183	35	.	.	PUNCT
faba-298	184	1	the	the	DET
faba-298	184	2	evidence	evidence	NOUN
faba-298	184	3	shows	show	VERB
faba-298	184	4	that	that	SCONJ
faba-298	184	5	google	google	PROPN
faba-298	184	6	’s	’s	PART
faba-298	184	7	stock	stock	NOUN
faba-298	184	8	performance	performance	NOUN
faba-298	184	9	has	have	AUX
faba-298	184	10	recently	recently	ADV
faba-298	184	11	mirrored	mirror	VERB
faba-298	184	12	the	the	DET
faba-298	184	13	broader	broad	ADJ
faba-298	184	14	tech	tech	NOUN
faba-298	184	15	market	market	NOUN
faba-298	184	16	’s	’s	PART
faba-298	184	17	behavior	behavior	NOUN
faba-298	184	18	,	,	PUNCT
faba-298	184	19	influenced	influence	VERB
faba-298	184	20	by	by	ADP
faba-298	184	21	overall	overall	ADJ
faba-298	184	22	market	market	NOUN
faba-298	184	23	volatility	volatility	NOUN
faba-298	184	24	,	,	PUNCT
faba-298	184	25	competitive	competitive	ADJ
faba-298	184	26	pressures	pressure	NOUN
faba-298	184	27	,	,	PUNCT
faba-298	184	28	regulatory	regulatory	ADJ
faba-298	184	29	scrutiny	scrutiny	NOUN
faba-298	184	30	,	,	PUNCT
faba-298	184	31	and	and	CCONJ
faba-298	184	32	financial	financial	ADJ
faba-298	184	33	performance	performance	NOUN
faba-298	184	34	.	.	PUNCT
faba-298	185	1	over	over	ADP
faba-298	185	2	the	the	DET
faba-298	185	3	years	year	NOUN
faba-298	185	4	,	,	PUNCT
faba-298	185	5	google	google	PROPN
faba-298	185	6	’s	’s	PART
faba-298	185	7	stock	stock	NOUN
faba-298	185	8	has	have	AUX
faba-298	185	9	experienced	experience	VERB
faba-298	185	10	significant	significant	ADJ
faba-298	185	11	growth	growth	NOUN
faba-298	185	12	,	,	PUNCT
faba-298	185	13	leading	lead	VERB
faba-298	185	14	to	to	ADP
faba-298	185	15	substantial	substantial	ADJ
faba-298	185	16	returns	return	NOUN
faba-298	185	17	for	for	ADP
faba-298	185	18	investors	investor	NOUN
faba-298	185	19	.	.	PUNCT
faba-298	186	1	pinpointing	pinpoint	VERB
faba-298	186	2	a	a	DET
faba-298	186	3	precise	precise	ADJ
faba-298	186	4	“	"	PUNCT
faba-298	186	5	best	good	ADJ
faba-298	186	6	time	time	NOUN
faba-298	186	7	”	"	PUNCT
faba-298	186	8	is	be	AUX
faba-298	186	9	difficult	difficult	ADJ
faba-298	186	10	,	,	PUNCT
faba-298	186	11	as	as	SCONJ
faba-298	186	12	stock	stock	NOUN
faba-298	186	13	performance	performance	NOUN
faba-298	186	14	is	be	AUX
faba-298	186	15	influenced	influence	VERB
faba-298	186	16	by	by	ADP
faba-298	186	17	numerous	numerous	ADJ
faba-298	186	18	factors	factor	NOUN
faba-298	186	19	and	and	CCONJ
faba-298	186	20	market	market	NOUN
faba-298	186	21	conditions	condition	NOUN
faba-298	186	22	.	.	PUNCT
faba-298	187	1	the	the	DET
faba-298	187	2	period	period	NOUN
faba-298	187	3	following	follow	VERB
faba-298	187	4	google	google	PROPN
faba-298	187	5	’s	’s	PART
faba-298	187	6	ipo	ipo	NOUN
faba-298	187	7	in	in	ADP
faba-298	187	8	2004	2004	NUM
faba-298	187	9	saw	see	VERB
faba-298	187	10	substantial	substantial	ADJ
faba-298	187	11	growth	growth	NOUN
faba-298	187	12	,	,	PUNCT
faba-298	187	13	with	with	ADP
faba-298	187	14	early	early	ADJ
faba-298	187	15	investors	investor	NOUN
faba-298	187	16	benefiting	benefit	VERB
faba-298	187	17	significantly	significantly	ADV
faba-298	187	18	.	.	PUNCT
faba-298	188	1	more	more	ADV
faba-298	188	2	so	so	ADV
faba-298	188	3	,	,	PUNCT
faba-298	188	4	various	various	ADJ
faba-298	188	5	periods	period	NOUN
faba-298	188	6	of	of	ADP
faba-298	188	7	innovation	innovation	NOUN
faba-298	188	8	and	and	CCONJ
faba-298	188	9	expansion	expansion	NOUN
faba-298	188	10	,	,	PUNCT
faba-298	188	11	such	such	ADJ
faba-298	188	12	as	as	ADP
faba-298	188	13	the	the	DET
faba-298	188	14	rise	rise	NOUN
faba-298	188	15	of	of	ADP
faba-298	188	16	mobile	mobile	ADJ
faba-298	188	17	computing	computing	NOUN
faba-298	188	18	and	and	CCONJ
faba-298	188	19	the	the	DET
faba-298	188	20	growth	growth	NOUN
faba-298	188	21	of	of	ADP
faba-298	188	22	google	google	PROPN
faba-298	188	23	’s	’s	PART
faba-298	188	24	advertising	advertising	NOUN
faba-298	188	25	business	business	NOUN
faba-298	188	26	,	,	PUNCT
faba-298	188	27	have	have	AUX
faba-298	188	28	coincided	coincide	VERB
faba-298	188	29	with	with	ADP
faba-298	188	30	stock	stock	NOUN
faba-298	188	31	price	price	NOUN
faba-298	188	32	increases	increase	NOUN
faba-298	188	33	(	(	PUNCT
faba-298	188	34	liao	liao	PROPN
faba-298	188	35	et	et	PROPN
faba-298	188	36	al	al	PROPN
faba-298	188	37	2024	2024	NUM
faba-298	188	38	)	)	PUNCT
faba-298	188	39	.	.	PUNCT
faba-298	189	1	it	it	PRON
faba-298	189	2	’s	’	VERB
faba-298	189	3	important	important	ADJ
faba-298	189	4	to	to	PART
faba-298	189	5	remember	remember	VERB
faba-298	189	6	that	that	SCONJ
faba-298	189	7	past	past	ADJ
faba-298	189	8	performance	performance	NOUN
faba-298	189	9	is	be	AUX
faba-298	189	10	not	not	PART
faba-298	189	11	indicative	indicative	ADJ
faba-298	189	12	of	of	ADP
faba-298	189	13	future	future	ADJ
faba-298	189	14	results	result	NOUN
faba-298	189	15	,	,	PUNCT
faba-298	189	16	as	as	SCONJ
faba-298	189	17	general	general	ADJ
faba-298	189	18	economic	economic	ADJ
faba-298	189	19	uncertainty	uncertainty	NOUN
faba-298	189	20	and	and	CCONJ
faba-298	189	21	interest	interest	NOUN
faba-298	189	22	rate	rate	NOUN
faba-298	189	23	fluctuations	fluctuation	NOUN
faba-298	189	24	contribute	contribute	VERB
faba-298	189	25	to	to	ADP
faba-298	189	26	market	market	NOUN
faba-298	189	27	volatility	volatility	NOUN
faba-298	189	28	,	,	PUNCT
faba-298	189	29	impacting	impact	VERB
faba-298	189	30	google	google	PROPN
faba-298	189	31	’s	’s	PART
faba-298	189	32	stock	stock	NOUN
faba-298	189	33	price	price	NOUN
faba-298	189	34	.	.	PUNCT
faba-298	190	1	furthermore	furthermore	ADV
faba-298	190	2	,	,	PUNCT
faba-298	190	3	the	the	DET
faba-298	190	4	evolving	evolve	VERB
faba-298	190	5	tech	tech	NOUN
faba-298	190	6	landscape	landscape	NOUN
faba-298	190	7	,	,	PUNCT
faba-298	190	8	including	include	VERB
faba-298	190	9	competition	competition	NOUN
faba-298	190	10	and	and	CCONJ
faba-298	190	11	innovation	innovation	NOUN
faba-298	190	12	in	in	ADP
faba-298	190	13	key	key	ADJ
faba-298	190	14	areas	area	NOUN
faba-298	190	15	,	,	PUNCT
faba-298	190	16	shapes	shape	VERB
faba-298	190	17	investor	investor	NOUN
faba-298	190	18	sentiment	sentiment	NOUN
faba-298	190	19	.	.	PUNCT
faba-298	191	1	regulatory	regulatory	ADJ
faba-298	191	2	scrutiny	scrutiny	NOUN
faba-298	191	3	also	also	ADV
faba-298	191	4	plays	play	VERB
faba-298	191	5	a	a	DET
faba-298	191	6	role	role	NOUN
faba-298	191	7	,	,	PUNCT
faba-298	191	8	potentially	potentially	ADV
faba-298	191	9	affecting	affect	VERB
faba-298	191	10	investor	investor	NOUN
faba-298	191	11	confidence	confidence	NOUN
faba-298	191	12	(	(	PUNCT
faba-298	191	13	nguyen	nguyen	NOUN
faba-298	191	14	et	et	PROPN
faba-298	191	15	al	al	PROPN
faba-298	191	16	.	.	PROPN
faba-298	191	17	2023	2023	NUM
faba-298	191	18	)	)	PUNCT
faba-298	191	19	.	.	PUNCT
faba-298	192	1	google	google	PROPN
faba-298	192	2	’s	’s	PART
faba-298	192	3	own	own	ADJ
faba-298	192	4	financial	financial	ADJ
faba-298	192	5	performance	performance	NOUN
faba-298	192	6	,	,	PUNCT
faba-298	192	7	including	include	VERB
faba-298	192	8	earnings	earning	NOUN
faba-298	192	9	reports	report	NOUN
faba-298	192	10	and	and	CCONJ
faba-298	192	11	growth	growth	NOUN
faba-298	192	12	projections	projection	NOUN
faba-298	192	13	,	,	PUNCT
faba-298	192	14	significantly	significantly	ADV
faba-298	192	15	influences	influence	VERB
faba-298	192	16	its	its	PRON
faba-298	192	17	stock	stock	NOUN
faba-298	192	18	price	price	NOUN
faba-298	192	19	.	.	PUNCT
faba-298	193	1	staying	stay	VERB
faba-298	193	2	informed	inform	VERB
faba-298	193	3	about	about	ADP
faba-298	193	4	market	market	NOUN
faba-298	193	5	trends	trend	NOUN
faba-298	193	6	and	and	CCONJ
faba-298	193	7	seeking	seek	VERB
faba-298	193	8	professional	professional	ADJ
faba-298	193	9	financial	financial	ADJ
faba-298	193	10	advice	advice	NOUN
faba-298	193	11	are	be	AUX
faba-298	193	12	crucial	crucial	ADJ
faba-298	193	13	for	for	ADP
faba-298	193	14	navigating	navigate	VERB
faba-298	193	15	the	the	DET
faba-298	193	16	complexities	complexity	NOUN
faba-298	193	17	of	of	ADP
faba-298	193	18	stock	stock	NOUN
faba-298	193	19	market	market	NOUN
faba-298	193	20	investments	investment	NOUN
faba-298	193	21	(	(	PUNCT
faba-298	193	22	bakar	bakar	NOUN
faba-298	193	23	and	and	CCONJ
faba-298	193	24	wurgle	wurgle	VERB
faba-298	193	25	2007	2007	NUM
faba-298	193	26	)	)	PUNCT
faba-298	193	27	.	.	PUNCT
faba-298	194	1	panel	panel	NOUN
faba-298	194	2	f	f	NOUN
faba-298	194	3	:	:	PUNCT
faba-298	194	4	mse	mse	VERB
faba-298	194	5	loss	loss	NOUN
faba-298	194	6	during	during	ADP
faba-298	194	7	training	training	NOUN
faba-298	194	8	(	(	PUNCT
faba-298	194	9	google	google	PROPN
faba-298	194	10	)	)	PUNCT
faba-298	194	11	adedeji	adedeji	NOUN
faba-298	194	12	daniel	daniel	PROPN
faba-298	194	13	gbadebo	gbadebo	PROPN
faba-298	194	14	/	/	SYM
faba-298	194	15	finance	finance	PROPN
faba-298	194	16	,	,	PUNCT
faba-298	194	17	accounting	accounting	NOUN
faba-298	194	18	and	and	CCONJ
faba-298	194	19	business	business	NOUN
faba-298	194	20	analysis	analysis	NOUN
faba-298	194	21	,	,	PUNCT
faba-298	194	22	volume	volume	NOUN
faba-298	194	23	7	7	NUM
faba-298	194	24	,	,	PUNCT
faba-298	194	25	issue	issue	NOUN
faba-298	194	26	2	2	NUM
faba-298	194	27	,	,	PUNCT
faba-298	194	28	2025	2025	NUM
faba-298	194	29	314	314	NUM
faba-298	194	30	panel	panel	NOUN
faba-298	194	31	g	g	NOUN
faba-298	194	32	:	:	PUNCT
faba-298	194	33	stock	stock	NOUN
faba-298	194	34	price	price	NOUN
faba-298	194	35	prediction	prediction	NOUN
faba-298	194	36	(	(	PUNCT
faba-298	194	37	training	training	NOUN
faba-298	194	38	)	)	PUNCT
faba-298	194	39	panel	panel	NOUN
faba-298	194	40	h	h	NOUN
faba-298	194	41	:	:	PUNCT
faba-298	194	42	stock	stock	NOUN
faba-298	194	43	price	price	NOUN
faba-298	194	44	prediction	prediction	NOUN
faba-298	194	45	(	(	PUNCT
faba-298	194	46	testing	testing	NOUN
faba-298	194	47	)	)	PUNCT
faba-298	194	48	panel	panel	NOUN
faba-298	194	49	i	i	NOUN
faba-298	194	50	:	:	PUNCT
faba-298	194	51	stock	stock	NOUN
faba-298	194	52	price	price	NOUN
faba-298	194	53	prediction	prediction	NOUN
faba-298	194	54	using	use	VERB
faba-298	194	55	epoch	epoch	NOUN
faba-298	194	56	=	=	SYM
faba-298	194	57	50	50	NUM
faba-298	194	58	(	(	PUNCT
faba-298	194	59	training	training	NOUN
faba-298	194	60	)	)	PUNCT
faba-298	194	61	adedeji	adedeji	NOUN
faba-298	194	62	daniel	daniel	PROPN
faba-298	194	63	gbadebo	gbadebo	PROPN
faba-298	194	64	/	/	SYM
faba-298	194	65	finance	finance	PROPN
faba-298	194	66	,	,	PUNCT
faba-298	194	67	accounting	accounting	NOUN
faba-298	194	68	and	and	CCONJ
faba-298	194	69	business	business	NOUN
faba-298	194	70	analysis	analysis	NOUN
faba-298	194	71	,	,	PUNCT
faba-298	194	72	volume	volume	NOUN
faba-298	194	73	7	7	NUM
faba-298	194	74	,	,	PUNCT
faba-298	194	75	issue	issue	NOUN
faba-298	194	76	2	2	NUM
faba-298	194	77	,	,	PUNCT
faba-298	194	78	2025	2025	NUM
faba-298	194	79	315	315	NUM
faba-298	194	80	panel	panel	NOUN
faba-298	194	81	j	j	PROPN
faba-298	194	82	:	:	PUNCT
faba-298	194	83	stock	stock	NOUN
faba-298	194	84	price	price	NOUN
faba-298	194	85	prediction	prediction	NOUN
faba-298	194	86	using	use	VERB
faba-298	194	87	epoch	epoch	NOUN
faba-298	194	88	=	=	SYM
faba-298	194	89	50	50	NUM
faba-298	194	90	(	(	PUNCT
faba-298	194	91	testing	testing	NOUN
faba-298	194	92	)	)	PUNCT
faba-298	194	93	source	source	NOUN
faba-298	194	94	:	:	PUNCT
faba-298	194	95	authors	author	NOUN
faba-298	194	96	figure	figure	VERB
faba-298	194	97	5	5	NUM
faba-298	194	98	.	.	PUNCT
faba-298	195	1	google	google	PROPN
faba-298	195	2	predictions	prediction	NOUN
faba-298	195	3	(	(	PUNCT
faba-298	195	4	panel	panel	NOUN
faba-298	195	5	f	f	PROPN
faba-298	195	6	-	-	PUNCT
faba-298	195	7	j	j	NOUN
faba-298	195	8	)	)	PUNCT
faba-298	195	9	table	table	NOUN
faba-298	195	10	4	4	NUM
faba-298	195	11	(	(	PUNCT
faba-298	195	12	panel	panel	NOUN
faba-298	195	13	3	3	NUM
faba-298	195	14	)	)	PUNCT
faba-298	195	15	shows	show	VERB
faba-298	195	16	apple	apple	PROPN
faba-298	195	17	’s	’s	PART
faba-298	195	18	stock	stock	NOUN
faba-298	195	19	prediction	prediction	NOUN
faba-298	195	20	is	be	AUX
faba-298	195	21	14	14	NUM
faba-298	195	22	.	.	PUNCT
faba-298	196	1	figure	figure	VERB
faba-298	196	2	6	6	NUM
faba-298	196	3	depicts	depict	VERB
faba-298	196	4	the	the	DET
faba-298	196	5	various	various	ADJ
faba-298	196	6	plots	plot	NOUN
faba-298	196	7	for	for	ADP
faba-298	196	8	apple	apple	NOUN
faba-298	196	9	’s	’s	PART
faba-298	196	10	stock	stock	NOUN
faba-298	196	11	price	price	NOUN
faba-298	196	12	predictions	prediction	NOUN
faba-298	196	13	.	.	PUNCT
faba-298	197	1	panel	panel	NOUN
faba-298	197	2	k	k	PROPN
faba-298	197	3	is	be	AUX
faba-298	197	4	the	the	DET
faba-298	197	5	mse	mse	PROPN
faba-298	197	6	loss	loss	NOUN
faba-298	197	7	during	during	ADP
faba-298	197	8	training	training	NOUN
faba-298	197	9	,	,	PUNCT
faba-298	197	10	panel	panel	NOUN
faba-298	197	11	l	l	NOUN
faba-298	197	12	is	be	AUX
faba-298	197	13	the	the	DET
faba-298	197	14	stock	stock	NOUN
faba-298	197	15	price	price	NOUN
faba-298	197	16	prediction	prediction	NOUN
faba-298	197	17	(	(	PUNCT
faba-298	197	18	training	training	NOUN
faba-298	197	19	dataset	dataset	NOUN
faba-298	197	20	)	)	PUNCT
faba-298	197	21	,	,	PUNCT
faba-298	197	22	panel	panel	NOUN
faba-298	197	23	m	m	VERB
faba-298	197	24	is	be	AUX
faba-298	197	25	stock	stock	NOUN
faba-298	197	26	price	price	NOUN
faba-298	197	27	prediction	prediction	NOUN
faba-298	197	28	(	(	PUNCT
faba-298	197	29	test	test	NOUN
faba-298	197	30	data	datum	NOUN
faba-298	197	31	)	)	PUNCT
faba-298	197	32	,	,	PUNCT
faba-298	197	33	panel	panel	NOUN
faba-298	197	34	n	n	ADV
faba-298	197	35	is	be	AUX
faba-298	197	36	stock	stock	NOUN
faba-298	197	37	price	price	NOUN
faba-298	197	38	prediction	prediction	NOUN
faba-298	197	39	using	use	VERB
faba-298	197	40	50	50	NUM
faba-298	197	41	epoch	epoch	NOUN
faba-298	197	42	(	(	PUNCT
faba-298	197	43	training	training	NOUN
faba-298	197	44	data	datum	NOUN
faba-298	197	45	)	)	PUNCT
faba-298	197	46	,	,	PUNCT
faba-298	197	47	panel	panel	NOUN
faba-298	197	48	0	0	NUM
faba-298	197	49	is	be	AUX
faba-298	197	50	stock	stock	NOUN
faba-298	197	51	price	price	NOUN
faba-298	197	52	prediction	prediction	NOUN
faba-298	197	53	using	use	VERB
faba-298	197	54	50	50	NUM
faba-298	197	55	epoch	epoch	NOUN
faba-298	197	56	(	(	PUNCT
faba-298	197	57	test	test	NOUN
faba-298	197	58	data	datum	NOUN
faba-298	197	59	)	)	PUNCT
faba-298	197	60	.	.	PUNCT
faba-298	198	1	using	use	VERB
faba-298	198	2	epoch	epoch	PROPN
faba-298	198	3	50	50	NUM
faba-298	198	4	for	for	ADP
faba-298	198	5	both	both	CCONJ
faba-298	198	6	the	the	DET
faba-298	198	7	training	training	NOUN
faba-298	198	8	and	and	CCONJ
faba-298	198	9	validation	validation	NOUN
faba-298	198	10	mse	mse	NOUN
faba-298	198	11	loss	loss	NOUN
faba-298	198	12	for	for	ADP
faba-298	198	13	the	the	DET
faba-298	198	14	apple	apple	NOUN
faba-298	198	15	stock	stock	NOUN
faba-298	198	16	price	price	NOUN
faba-298	198	17	prediction	prediction	NOUN
faba-298	198	18	,	,	PUNCT
faba-298	198	19	panel	panel	NOUN
faba-298	198	20	a	a	PRON
faba-298	198	21	and	and	CCONJ
faba-298	198	22	b	b	NOUN
faba-298	198	23	depict	depict	NOUN
faba-298	198	24	that	that	PRON
faba-298	198	25	the	the	DET
faba-298	198	26	epoch	epoch	NOUN
faba-298	198	27	50	50	NUM
faba-298	198	28	is	be	AUX
faba-298	198	29	closer	close	ADJ
faba-298	198	30	to	to	ADP
faba-298	198	31	the	the	DET
faba-298	198	32	true	true	ADJ
faba-298	198	33	stock	stock	NOUN
faba-298	198	34	value	value	NOUN
faba-298	198	35	.	.	PUNCT
faba-298	199	1	the	the	DET
faba-298	199	2	evidence	evidence	NOUN
faba-298	199	3	shows	show	VERB
faba-298	199	4	that	that	SCONJ
faba-298	199	5	apple	apple	PROPN
faba-298	199	6	inc	inc	PROPN
faba-298	199	7	.	.	PROPN
faba-298	199	8	’s	’s	PART
faba-298	199	9	prominent	prominent	ADJ
faba-298	199	10	position	position	NOUN
faba-298	199	11	within	within	ADP
faba-298	199	12	the	the	DET
faba-298	199	13	technology	technology	NOUN
faba-298	199	14	sector	sector	NOUN
faba-298	199	15	and	and	CCONJ
faba-298	199	16	its	its	PRON
faba-298	199	17	stock	stock	NOUN
faba-298	199	18	market	market	NOUN
faba-298	199	19	performance	performance	NOUN
faba-298	199	20	has	have	AUX
faba-298	199	21	garnered	garner	VERB
faba-298	199	22	significant	significant	ADJ
faba-298	199	23	attention	attention	NOUN
faba-298	199	24	.	.	PUNCT
faba-298	200	1	as	as	ADP
faba-298	200	2	with	with	ADP
faba-298	200	3	all	all	DET
faba-298	200	4	publicly	publicly	ADV
faba-298	200	5	traded	trade	VERB
faba-298	200	6	equities	equity	NOUN
faba-298	200	7	,	,	PUNCT
faba-298	200	8	apple	apple	PROPN
faba-298	200	9	’s	’s	PART
faba-298	200	10	stock	stock	NOUN
faba-298	200	11	price	price	NOUN
faba-298	200	12	exhibits	exhibit	VERB
faba-298	200	13	periods	period	NOUN
faba-298	200	14	of	of	ADP
faba-298	200	15	volatility	volatility	NOUN
faba-298	200	16	,	,	PUNCT
faba-298	200	17	influenced	influence	VERB
faba-298	200	18	by	by	ADP
faba-298	200	19	macroeconomic	macroeconomic	ADJ
faba-298	200	20	trends	trend	NOUN
faba-298	200	21	,	,	PUNCT
faba-298	200	22	prevailing	prevail	VERB
faba-298	200	23	economic	economic	ADJ
faba-298	200	24	conditions	condition	NOUN
faba-298	200	25	,	,	PUNCT
faba-298	200	26	and	and	CCONJ
faba-298	200	27	company	company	NOUN
faba-298	200	28	-	-	PUNCT
faba-298	200	29	specific	specific	ADJ
faba-298	200	30	factors	factor	NOUN
faba-298	200	31	(	(	PUNCT
faba-298	200	32	ouyang	ouyang	X
faba-298	200	33	et	et	PROPN
faba-298	200	34	al	al	PROPN
faba-298	200	35	.	.	PROPN
faba-298	200	36	2024	2024	NUM
faba-298	200	37	)	)	PUNCT
faba-298	200	38	.	.	PUNCT
faba-298	201	1	while	while	SCONJ
faba-298	201	2	apple	apple	NOUN
faba-298	201	3	has	have	AUX
faba-298	201	4	achieved	achieve	VERB
faba-298	201	5	remarkable	remarkable	ADJ
faba-298	201	6	growth	growth	NOUN
faba-298	201	7	and	and	CCONJ
faba-298	201	8	market	market	NOUN
faba-298	201	9	success	success	NOUN
faba-298	201	10	(	(	PUNCT
faba-298	201	11	barbosa	barbosa	PROPN
faba-298	201	12	and	and	CCONJ
faba-298	201	13	de	de	PROPN
faba-298	201	14	oliveira	oliveira	PROPN
faba-298	201	15	2020	2020	NUM
faba-298	201	16	)	)	PUNCT
faba-298	201	17	,	,	PUNCT
faba-298	201	18	its	its	PRON
faba-298	201	19	stock	stock	NOUN
faba-298	201	20	remains	remain	VERB
faba-298	201	21	susceptible	susceptible	ADJ
faba-298	201	22	to	to	ADP
faba-298	201	23	market	market	NOUN
faba-298	201	24	fluctuations	fluctuation	NOUN
faba-298	201	25	.	.	PUNCT
faba-298	202	1	factors	factor	NOUN
faba-298	202	2	such	such	ADJ
faba-298	202	3	as	as	ADP
faba-298	202	4	new	new	ADJ
faba-298	202	5	product	product	NOUN
faba-298	202	6	releases	release	NOUN
faba-298	202	7	(	(	PUNCT
faba-298	202	8	zhang	zhang	PROPN
faba-298	202	9	and	and	CCONJ
faba-298	202	10	zhang	zhang	PROPN
faba-298	202	11	2021	2021	NUM
faba-298	202	12	)	)	PUNCT
faba-298	202	13	,	,	PUNCT
faba-298	202	14	consumer	consumer	NOUN
faba-298	202	15	demand	demand	NOUN
faba-298	202	16	,	,	PUNCT
faba-298	202	17	and	and	CCONJ
faba-298	202	18	competitive	competitive	ADJ
faba-298	202	19	pressures	pressure	NOUN
faba-298	202	20	can	can	AUX
faba-298	202	21	influence	influence	VERB
faba-298	202	22	investor	investor	NOUN
faba-298	202	23	sentiment	sentiment	NOUN
faba-298	202	24	and	and	CCONJ
faba-298	202	25	impact	impact	NOUN
faba-298	202	26	stock	stock	NOUN
faba-298	202	27	performance	performance	NOUN
faba-298	202	28	(	(	PUNCT
faba-298	202	29	ouyang	ouyang	NOUN
faba-298	202	30	2020	2020	NUM
faba-298	202	31	)	)	PUNCT
faba-298	202	32	.	.	PUNCT
faba-298	203	1	despite	despite	SCONJ
faba-298	203	2	experiencing	experience	VERB
faba-298	203	3	periods	period	NOUN
faba-298	203	4	of	of	ADP
faba-298	203	5	substantial	substantial	ADJ
faba-298	203	6	growth	growth	NOUN
faba-298	203	7	historical	historical	ADJ
faba-298	203	8	performance	performance	NOUN
faba-298	203	9	is	be	AUX
faba-298	203	10	not	not	PART
faba-298	203	11	indicative	indicative	ADJ
faba-298	203	12	of	of	ADP
faba-298	203	13	future	future	ADJ
faba-298	203	14	returns	return	NOUN
faba-298	203	15	.	.	PUNCT
faba-298	204	1	a	a	DET
faba-298	204	2	comprehensive	comprehensive	ADJ
faba-298	204	3	understanding	understanding	NOUN
faba-298	204	4	of	of	ADP
faba-298	204	5	apple	apple	NOUN
faba-298	204	6	’s	’s	PART
faba-298	204	7	stock	stock	NOUN
faba-298	204	8	performance	performance	NOUN
faba-298	204	9	necessitates	necessitate	VERB
faba-298	204	10	consulting	consult	VERB
faba-298	204	11	reputable	reputable	ADJ
faba-298	204	12	financial	financial	ADJ
faba-298	204	13	news	news	NOUN
faba-298	204	14	sources	source	NOUN
faba-298	204	15	and	and	CCONJ
faba-298	204	16	analyst	analyst	NOUN
faba-298	204	17	reports	report	NOUN
faba-298	204	18	.	.	PUNCT
faba-298	205	1	furthermore	furthermore	ADV
faba-298	205	2	,	,	PUNCT
faba-298	205	3	it	it	PRON
faba-298	205	4	is	be	AUX
faba-298	205	5	crucial	crucial	ADJ
faba-298	205	6	to	to	PART
faba-298	205	7	acknowledge	acknowledge	VERB
faba-298	205	8	that	that	SCONJ
faba-298	205	9	investment	investment	NOUN
faba-298	205	10	decisions	decision	NOUN
faba-298	205	11	inherently	inherently	ADV
faba-298	205	12	involve	involve	VERB
faba-298	205	13	risk	risk	NOUN
faba-298	205	14	.	.	PUNCT
faba-298	206	1	panel	panel	NOUN
faba-298	206	2	k	k	NOUN
faba-298	206	3	:	:	PUNCT
faba-298	206	4	mse	mse	NOUN
faba-298	206	5	loss	loss	NOUN
faba-298	206	6	during	during	ADP
faba-298	206	7	training	training	NOUN
faba-298	206	8	(	(	PUNCT
faba-298	206	9	apple	apple	NOUN
faba-298	206	10	)	)	PUNCT
faba-298	206	11	adedeji	adedeji	NOUN
faba-298	206	12	daniel	daniel	PROPN
faba-298	206	13	gbadebo	gbadebo	PROPN
faba-298	206	14	/	/	SYM
faba-298	206	15	finance	finance	PROPN
faba-298	206	16	,	,	PUNCT
faba-298	206	17	accounting	accounting	NOUN
faba-298	206	18	and	and	CCONJ
faba-298	206	19	business	business	NOUN
faba-298	206	20	analysis	analysis	NOUN
faba-298	206	21	,	,	PUNCT
faba-298	206	22	volume	volume	NOUN
faba-298	206	23	7	7	NUM
faba-298	206	24	,	,	PUNCT
faba-298	206	25	issue	issue	NOUN
faba-298	206	26	2	2	NUM
faba-298	206	27	,	,	PUNCT
faba-298	206	28	2025	2025	NUM
faba-298	206	29	316	316	NUM
faba-298	206	30	panel	panel	NOUN
faba-298	206	31	l	l	NOUN
faba-298	206	32	:	:	PUNCT
faba-298	206	33	stock	stock	NOUN
faba-298	206	34	price	price	NOUN
faba-298	206	35	prediction	prediction	NOUN
faba-298	206	36	(	(	PUNCT
faba-298	206	37	training	training	NOUN
faba-298	206	38	)	)	PUNCT
faba-298	206	39	panel	panel	NOUN
faba-298	206	40	m	m	PROPN
faba-298	206	41	:	:	PUNCT
faba-298	206	42	stock	stock	NOUN
faba-298	206	43	price	price	NOUN
faba-298	206	44	prediction	prediction	NOUN
faba-298	206	45	(	(	PUNCT
faba-298	206	46	testing	testing	NOUN
faba-298	206	47	)	)	PUNCT
faba-298	206	48	panel	panel	NOUN
faba-298	206	49	n	n	CCONJ
faba-298	206	50	:	:	PUNCT
faba-298	206	51	stock	stock	NOUN
faba-298	206	52	price	price	NOUN
faba-298	206	53	prediction	prediction	NOUN
faba-298	206	54	using	use	VERB
faba-298	206	55	epoch	epoch	NOUN
faba-298	206	56	=	=	SYM
faba-298	206	57	50	50	NUM
faba-298	206	58	(	(	PUNCT
faba-298	206	59	training	training	NOUN
faba-298	206	60	)	)	PUNCT
faba-298	206	61	adedeji	adedeji	NOUN
faba-298	206	62	daniel	daniel	PROPN
faba-298	206	63	gbadebo	gbadebo	PROPN
faba-298	206	64	/	/	SYM
faba-298	206	65	finance	finance	PROPN
faba-298	206	66	,	,	PUNCT
faba-298	206	67	accounting	accounting	NOUN
faba-298	206	68	and	and	CCONJ
faba-298	206	69	business	business	NOUN
faba-298	206	70	analysis	analysis	NOUN
faba-298	206	71	,	,	PUNCT
faba-298	206	72	volume	volume	NOUN
faba-298	206	73	7	7	NUM
faba-298	206	74	,	,	PUNCT
faba-298	206	75	issue	issue	NOUN
faba-298	206	76	2	2	NUM
faba-298	206	77	,	,	PUNCT
faba-298	206	78	2025	2025	NUM
faba-298	206	79	317	317	NUM
faba-298	206	80	panel	panel	NOUN
faba-298	206	81	o	o	NOUN
faba-298	206	82	:	:	PUNCT
faba-298	206	83	stock	stock	NOUN
faba-298	206	84	price	price	NOUN
faba-298	206	85	prediction	prediction	NOUN
faba-298	206	86	using	use	VERB
faba-298	206	87	epoch	epoch	NOUN
faba-298	206	88	=	=	SYM
faba-298	206	89	50	50	NUM
faba-298	206	90	(	(	PUNCT
faba-298	206	91	testing	testing	NOUN
faba-298	206	92	)	)	PUNCT
faba-298	206	93	source	source	NOUN
faba-298	206	94	:	:	PUNCT
faba-298	206	95	author	author	NOUN
faba-298	206	96	figure	figure	NOUN
faba-298	206	97	6	6	NUM
faba-298	206	98	.	.	PUNCT
faba-298	207	1	apple	apple	NOUN
faba-298	207	2	predictions	prediction	NOUN
faba-298	207	3	(	(	PUNCT
faba-298	207	4	panel	panel	NOUN
faba-298	207	5	k	k	NOUN
faba-298	207	6	-	-	ADJ
faba-298	207	7	o	o	NOUN
faba-298	207	8	)	)	PUNCT
faba-298	207	9	table	table	NOUN
faba-298	207	10	4	4	NUM
faba-298	207	11	(	(	PUNCT
faba-298	207	12	panel	panel	NOUN
faba-298	207	13	4	4	NUM
faba-298	207	14	)	)	PUNCT
faba-298	207	15	shows	show	VERB
faba-298	207	16	amazon	amazon	PROPN
faba-298	207	17	’s	’s	PART
faba-298	207	18	stock	stock	NOUN
faba-298	207	19	prediction	prediction	NOUN
faba-298	207	20	loss	loss	NOUN
faba-298	207	21	is	be	AUX
faba-298	207	22	2.4875	2.4875	NUM
faba-298	207	23	.	.	PUNCT
faba-298	208	1	figure	figure	NOUN
faba-298	208	2	7	7	NUM
faba-298	208	3	depicts	depict	VERB
faba-298	208	4	the	the	DET
faba-298	208	5	various	various	ADJ
faba-298	208	6	plots	plot	NOUN
faba-298	208	7	for	for	ADP
faba-298	208	8	amazon	amazon	NOUN
faba-298	208	9	’s	’s	PART
faba-298	208	10	stock	stock	NOUN
faba-298	208	11	price	price	NOUN
faba-298	208	12	predictions	prediction	NOUN
faba-298	208	13	.	.	PUNCT
faba-298	209	1	panel	panel	NOUN
faba-298	209	2	p	p	PROPN
faba-298	209	3	is	be	AUX
faba-298	209	4	the	the	DET
faba-298	209	5	mse	mse	NOUN
faba-298	209	6	loss	loss	NOUN
faba-298	209	7	during	during	ADP
faba-298	209	8	training	training	NOUN
faba-298	209	9	,	,	PUNCT
faba-298	209	10	panel	panel	NOUN
faba-298	209	11	q	q	NOUN
faba-298	209	12	is	be	AUX
faba-298	209	13	the	the	DET
faba-298	209	14	stock	stock	NOUN
faba-298	209	15	price	price	NOUN
faba-298	209	16	prediction	prediction	NOUN
faba-298	209	17	(	(	PUNCT
faba-298	209	18	training	training	NOUN
faba-298	209	19	dataset	dataset	NOUN
faba-298	209	20	)	)	PUNCT
faba-298	209	21	,	,	PUNCT
faba-298	209	22	panel	panel	NOUN
faba-298	209	23	r	r	NOUN
faba-298	209	24	is	be	AUX
faba-298	209	25	stock	stock	NOUN
faba-298	209	26	price	price	NOUN
faba-298	209	27	prediction	prediction	NOUN
faba-298	209	28	(	(	PUNCT
faba-298	209	29	test	test	NOUN
faba-298	209	30	data	datum	NOUN
faba-298	209	31	)	)	PUNCT
faba-298	209	32	,	,	PUNCT
faba-298	209	33	panel	panel	NOUN
faba-298	209	34	s	s	VERB
faba-298	209	35	is	be	AUX
faba-298	209	36	stock	stock	NOUN
faba-298	209	37	price	price	NOUN
faba-298	209	38	prediction	prediction	NOUN
faba-298	209	39	using	use	VERB
faba-298	209	40	50	50	NUM
faba-298	209	41	epoch	epoch	NOUN
faba-298	209	42	(	(	PUNCT
faba-298	209	43	training	training	NOUN
faba-298	209	44	data	datum	NOUN
faba-298	209	45	)	)	PUNCT
faba-298	209	46	,	,	PUNCT
faba-298	209	47	panel	panel	NOUN
faba-298	209	48	t	t	PROPN
faba-298	209	49	is	be	AUX
faba-298	209	50	stock	stock	NOUN
faba-298	209	51	price	price	NOUN
faba-298	209	52	prediction	prediction	NOUN
faba-298	209	53	using	use	VERB
faba-298	209	54	50	50	NUM
faba-298	209	55	epoch	epoch	NOUN
faba-298	209	56	(	(	PUNCT
faba-298	209	57	test	test	NOUN
faba-298	209	58	data	datum	NOUN
faba-298	209	59	)	)	PUNCT
faba-298	209	60	.	.	PUNCT
faba-298	210	1	using	use	VERB
faba-298	210	2	epoch	epoch	PROPN
faba-298	210	3	50	50	NUM
faba-298	210	4	for	for	ADP
faba-298	210	5	both	both	CCONJ
faba-298	210	6	the	the	DET
faba-298	210	7	training	training	NOUN
faba-298	210	8	and	and	CCONJ
faba-298	210	9	validation	validation	NOUN
faba-298	210	10	mse	mse	NOUN
faba-298	210	11	loss	loss	NOUN
faba-298	210	12	for	for	ADP
faba-298	210	13	the	the	DET
faba-298	210	14	amazon	amazon	NOUN
faba-298	210	15	stock	stock	NOUN
faba-298	210	16	price	price	NOUN
faba-298	210	17	prediction	prediction	NOUN
faba-298	210	18	,	,	PUNCT
faba-298	210	19	the	the	DET
faba-298	210	20	figures	figure	NOUN
faba-298	210	21	shows	show	VERB
faba-298	210	22	the	the	DET
faba-298	210	23	epoch	epoch	NOUN
faba-298	210	24	50	50	NUM
faba-298	210	25	is	be	AUX
faba-298	210	26	closer	close	ADJ
faba-298	210	27	to	to	ADP
faba-298	210	28	the	the	DET
faba-298	210	29	true	true	ADJ
faba-298	210	30	stock	stock	NOUN
faba-298	210	31	value	value	NOUN
faba-298	210	32	.	.	PUNCT
faba-298	211	1	since	since	SCONJ
faba-298	211	2	its	its	PRON
faba-298	211	3	1997	1997	NUM
faba-298	211	4	ipo	ipo	NOUN
faba-298	211	5	,	,	PUNCT
faba-298	211	6	amazon	amazon	NOUN
faba-298	211	7	has	have	AUX
faba-298	211	8	evolved	evolve	VERB
faba-298	211	9	from	from	ADP
faba-298	211	10	an	an	DET
faba-298	211	11	online	online	ADJ
faba-298	211	12	bookstore	bookstore	NOUN
faba-298	211	13	to	to	ADP
faba-298	211	14	a	a	DET
faba-298	211	15	dominant	dominant	ADJ
faba-298	211	16	force	force	NOUN
faba-298	211	17	in	in	ADP
faba-298	211	18	e	e	PROPN
faba-298	211	19	-	-	NOUN
faba-298	211	20	commerce	commerce	ADJ
faba-298	211	21	,	,	PUNCT
faba-298	211	22	cloud	cloud	NOUN
faba-298	211	23	computing	computing	NOUN
faba-298	211	24	,	,	PUNCT
faba-298	211	25	and	and	CCONJ
faba-298	211	26	digital	digital	ADJ
faba-298	211	27	streaming	streaming	NOUN
faba-298	211	28	(	(	PUNCT
faba-298	211	29	kumar	kumar	PROPN
faba-298	211	30	and	and	CCONJ
faba-298	211	31	ahuja	ahuja	PROPN
faba-298	211	32	2020	2020	NUM
faba-298	211	33	)	)	PUNCT
faba-298	211	34	.	.	PUNCT
faba-298	212	1	its	its	PRON
faba-298	212	2	customer	customer	NOUN
faba-298	212	3	-	-	PUNCT
faba-298	212	4	centric	centric	NOUN
faba-298	212	5	approach	approach	NOUN
faba-298	212	6	,	,	PUNCT
faba-298	212	7	innovative	innovative	ADJ
faba-298	212	8	business	business	NOUN
faba-298	212	9	model	model	NOUN
faba-298	212	10	,	,	PUNCT
faba-298	212	11	and	and	CCONJ
faba-298	212	12	aggressive	aggressive	ADJ
faba-298	212	13	expansion	expansion	NOUN
faba-298	212	14	fueled	fuel	VERB
faba-298	212	15	early	early	ADJ
faba-298	212	16	growth	growth	NOUN
faba-298	212	17	,	,	PUNCT
faba-298	212	18	propelling	propel	VERB
faba-298	212	19	its	its	PRON
faba-298	212	20	stock	stock	NOUN
faba-298	212	21	price	price	NOUN
faba-298	212	22	upward	upward	ADV
faba-298	212	23	(	(	PUNCT
faba-298	212	24	das	das	PROPN
faba-298	212	25	et	et	PROPN
faba-298	212	26	al	al	PROPN
faba-298	212	27	.	.	PROPN
faba-298	212	28	2023	2023	NUM
faba-298	212	29	)	)	PUNCT
faba-298	212	30	.	.	PUNCT
faba-298	213	1	while	while	SCONJ
faba-298	213	2	the	the	DET
faba-298	213	3	dot	dot	NOUN
faba-298	213	4	-	-	PUNCT
faba-298	213	5	com	com	NOUN
faba-298	213	6	bubble	bubble	NOUN
faba-298	213	7	posed	pose	VERB
faba-298	213	8	a	a	DET
faba-298	213	9	challenge	challenge	NOUN
faba-298	213	10	,	,	PUNCT
faba-298	213	11	amazon	amazon	NOUN
faba-298	213	12	’s	’s	PART
faba-298	213	13	strong	strong	ADJ
faba-298	213	14	fundamentals	fundamental	NOUN
faba-298	213	15	enabled	enable	VERB
faba-298	213	16	its	its	PRON
faba-298	213	17	recovery	recovery	NOUN
faba-298	213	18	and	and	CCONJ
faba-298	213	19	continued	continued	ADJ
faba-298	213	20	market	market	NOUN
faba-298	213	21	leadership	leadership	NOUN
faba-298	213	22	.	.	PUNCT
faba-298	214	1	despite	despite	SCONJ
faba-298	214	2	recent	recent	ADJ
faba-298	214	3	market	market	NOUN
faba-298	214	4	volatility	volatility	NOUN
faba-298	214	5	,	,	PUNCT
faba-298	214	6	its	its	PRON
faba-298	214	7	strong	strong	ADJ
faba-298	214	8	performance	performance	NOUN
faba-298	214	9	and	and	CCONJ
faba-298	214	10	dominant	dominant	ADJ
faba-298	214	11	position	position	NOUN
faba-298	214	12	suggest	suggest	VERB
faba-298	214	13	a	a	DET
faba-298	214	14	positive	positive	ADJ
faba-298	214	15	outlook	outlook	NOUN
faba-298	214	16	,	,	PUNCT
faba-298	214	17	though	though	SCONJ
faba-298	214	18	challenges	challenge	NOUN
faba-298	214	19	like	like	ADP
faba-298	214	20	competition	competition	NOUN
faba-298	214	21	and	and	CCONJ
faba-298	214	22	regulation	regulation	NOUN
faba-298	214	23	remain	remain	VERB
faba-298	214	24	(	(	PUNCT
faba-298	214	25	wang	wang	PROPN
faba-298	214	26	et	et	PROPN
faba-298	214	27	al	al	PROPN
faba-298	214	28	2022	2022	NUM
faba-298	214	29	)	)	PUNCT
faba-298	214	30	.	.	PUNCT
faba-298	215	1	panel	panel	NOUN
faba-298	215	2	p	p	X
faba-298	215	3	:	:	PUNCT
faba-298	215	4	mse	mse	NOUN
faba-298	215	5	loss	loss	NOUN
faba-298	215	6	during	during	ADP
faba-298	215	7	training	training	NOUN
faba-298	215	8	(	(	PUNCT
faba-298	215	9	amazon	amazon	NOUN
faba-298	215	10	)	)	PUNCT
faba-298	215	11	adedeji	adedeji	NOUN
faba-298	215	12	daniel	daniel	PROPN
faba-298	215	13	gbadebo	gbadebo	PROPN
faba-298	215	14	/	/	SYM
faba-298	215	15	finance	finance	PROPN
faba-298	215	16	,	,	PUNCT
faba-298	215	17	accounting	accounting	NOUN
faba-298	215	18	and	and	CCONJ
faba-298	215	19	business	business	NOUN
faba-298	215	20	analysis	analysis	NOUN
faba-298	215	21	,	,	PUNCT
faba-298	215	22	volume	volume	NOUN
faba-298	215	23	7	7	NUM
faba-298	215	24	,	,	PUNCT
faba-298	215	25	issue	issue	NOUN
faba-298	215	26	2	2	NUM
faba-298	215	27	,	,	PUNCT
faba-298	215	28	2025	2025	NUM
faba-298	215	29	318	318	NUM
faba-298	215	30	panel	panel	NOUN
faba-298	215	31	q	q	NOUN
faba-298	215	32	:	:	PUNCT
faba-298	215	33	stock	stock	NOUN
faba-298	215	34	price	price	NOUN
faba-298	215	35	prediction	prediction	NOUN
faba-298	215	36	(	(	PUNCT
faba-298	215	37	training	training	NOUN
faba-298	215	38	)	)	PUNCT
faba-298	215	39	panel	panel	NOUN
faba-298	215	40	r	r	NOUN
faba-298	215	41	:	:	PUNCT
faba-298	215	42	stock	stock	NOUN
faba-298	215	43	price	price	NOUN
faba-298	215	44	prediction	prediction	NOUN
faba-298	215	45	(	(	PUNCT
faba-298	215	46	testing	testing	NOUN
faba-298	215	47	)	)	PUNCT
faba-298	215	48	panel	panel	NOUN
faba-298	215	49	s	s	PART
faba-298	215	50	:	:	PUNCT
faba-298	215	51	stock	stock	NOUN
faba-298	215	52	price	price	NOUN
faba-298	215	53	prediction	prediction	NOUN
faba-298	215	54	using	use	VERB
faba-298	215	55	epoch	epoch	NOUN
faba-298	215	56	=	=	SYM
faba-298	215	57	50	50	NUM
faba-298	215	58	(	(	PUNCT
faba-298	215	59	training	training	NOUN
faba-298	215	60	)	)	PUNCT
faba-298	215	61	adedeji	adedeji	NOUN
faba-298	215	62	daniel	daniel	PROPN
faba-298	215	63	gbadebo	gbadebo	PROPN
faba-298	215	64	/	/	SYM
faba-298	215	65	finance	finance	PROPN
faba-298	215	66	,	,	PUNCT
faba-298	215	67	accounting	accounting	NOUN
faba-298	215	68	and	and	CCONJ
faba-298	215	69	business	business	NOUN
faba-298	215	70	analysis	analysis	NOUN
faba-298	215	71	,	,	PUNCT
faba-298	215	72	volume	volume	NOUN
faba-298	215	73	7	7	NUM
faba-298	215	74	,	,	PUNCT
faba-298	215	75	issue	issue	NOUN
faba-298	215	76	2	2	NUM
faba-298	215	77	,	,	PUNCT
faba-298	215	78	2025	2025	NUM
faba-298	215	79	319	319	NUM
faba-298	215	80	panel	panel	NOUN
faba-298	215	81	t	t	PROPN
faba-298	215	82	:	:	PUNCT
faba-298	215	83	stock	stock	NOUN
faba-298	215	84	price	price	NOUN
faba-298	215	85	prediction	prediction	NOUN
faba-298	215	86	using	use	VERB
faba-298	215	87	epoch	epoch	NOUN
faba-298	215	88	=	=	SYM
faba-298	215	89	50	50	NUM
faba-298	215	90	(	(	PUNCT
faba-298	215	91	testing	testing	NOUN
faba-298	215	92	)	)	PUNCT
faba-298	215	93	source	source	NOUN
faba-298	215	94	:	:	PUNCT
faba-298	215	95	authors	author	NOUN
faba-298	215	96	figure	figure	VERB
faba-298	215	97	7	7	NUM
faba-298	215	98	.	.	PUNCT
faba-298	215	99	apple	apple	NOUN
faba-298	215	100	predictions	prediction	NOUN
faba-298	215	101	(	(	PUNCT
faba-298	215	102	panel	panel	NOUN
faba-298	215	103	p	p	PROPN
faba-298	215	104	-	-	PUNCT
faba-298	215	105	t	t	PROPN
faba-298	215	106	)	)	PUNCT
faba-298	215	107	table	table	NOUN
faba-298	215	108	4	4	NUM
faba-298	215	109	.	.	PUNCT
faba-298	215	110	company	company	NOUN
faba-298	215	111	stock	stock	NOUN
faba-298	215	112	(	(	PUNCT
faba-298	215	113	epoch	epoch	PROPN
faba-298	215	114	and	and	CCONJ
faba-298	215	115	mse	mse	PROPN
faba-298	215	116	)	)	PUNCT
faba-298	215	117	mse	mse	PROPN
faba-298	215	118	epoch	epoch	PROPN
faba-298	215	119	train	train	PROPN
faba-298	215	120	validate	validate	ADJ
faba-298	215	121	panel	panel	NOUN
faba-298	215	122	1	1	NUM
faba-298	215	123	:	:	PUNCT
faba-298	215	124	tesla	tesla	PROPN
faba-298	215	125	1	1	NUM
faba-298	215	126	0.0449	0.0449	NUM
faba-298	215	127	0.0053	0.0053	NUM
faba-298	215	128	50	50	NUM
faba-298	215	129	0.0019	0.0019	NUM
faba-298	215	130	0.0017	0.0017	NUM
faba-298	215	131	panel	panel	NOUN
faba-298	215	132	2	2	NUM
faba-298	215	133	:	:	PUNCT
faba-298	215	134	google	google	PROPN
faba-298	215	135	1	1	NUM
faba-298	215	136	0.0653	0.0653	NUM
faba-298	215	137	0.0038	0.0038	NUM
faba-298	215	138	50	50	NUM
faba-298	215	139	0.0023	0.0023	NUM
faba-298	215	140	0.0004	0.0004	NUM
faba-298	215	141	panel	panel	NOUN
faba-298	215	142	3	3	NUM
faba-298	215	143	:	:	PUNCT
faba-298	215	144	apple	apple	NOUN
faba-298	215	145	1	1	NUM
faba-298	215	146	0.0908	0.0908	NUM
faba-298	215	147	0.0024	0.0024	NUM
faba-298	215	148	50	50	NUM
faba-298	215	149	0.0026	0.0026	NUM
faba-298	215	150	0.0004	0.0004	NUM
faba-298	215	151	panel	panel	NOUN
faba-298	215	152	4	4	NUM
faba-298	215	153	:	:	PUNCT
faba-298	215	154	amazon	amazon	NOUN
faba-298	215	155	1	1	NUM
faba-298	215	156	0.0383	0.0383	NUM
faba-298	215	157	0.0030	0.0030	NUM
faba-298	215	158	50	50	NUM
faba-298	215	159	0.0022	0.0022	NUM
faba-298	215	160	0.0014	0.0014	NUM
faba-298	215	161	source	source	NOUN
faba-298	215	162	:	:	PUNCT
faba-298	215	163	authors	author	NOUN
faba-298	215	164	(	(	PUNCT
faba-298	215	165	2025	2025	NUM
faba-298	215	166	)	)	PUNCT
faba-298	215	167	policy	policy	NOUN
faba-298	215	168	and	and	CCONJ
faba-298	215	169	managerial	managerial	ADJ
faba-298	215	170	implications	implication	NOUN
faba-298	215	171	the	the	DET
faba-298	215	172	findings	finding	NOUN
faba-298	215	173	from	from	ADP
faba-298	215	174	the	the	DET
faba-298	215	175	lstm	lstm	ADJ
faba-298	215	176	predictive	predictive	ADJ
faba-298	215	177	framework	framework	NOUN
faba-298	215	178	reveal	reveal	VERB
faba-298	215	179	critical	critical	ADJ
faba-298	215	180	insights	insight	NOUN
faba-298	215	181	for	for	ADP
faba-298	215	182	policymakers	policymaker	NOUN
faba-298	215	183	,	,	PUNCT
faba-298	215	184	financial	financial	ADJ
faba-298	215	185	regulators	regulator	NOUN
faba-298	215	186	,	,	PUNCT
faba-298	215	187	and	and	CCONJ
faba-298	215	188	firm	firm	ADJ
faba-298	215	189	managers	manager	NOUN
faba-298	215	190	operating	operate	VERB
faba-298	215	191	in	in	ADP
faba-298	215	192	technology	technology	NOUN
faba-298	215	193	-	-	PUNCT
faba-298	215	194	driven	drive	VERB
faba-298	215	195	capital	capital	NOUN
faba-298	215	196	markets	market	NOUN
faba-298	215	197	.	.	PUNCT
faba-298	216	1	from	from	ADP
faba-298	216	2	a	a	DET
faba-298	216	3	policy	policy	NOUN
faba-298	216	4	perspective	perspective	NOUN
faba-298	216	5	,	,	PUNCT
faba-298	216	6	the	the	DET
faba-298	216	7	high	high	ADJ
faba-298	216	8	volatility	volatility	NOUN
faba-298	216	9	and	and	CCONJ
faba-298	216	10	structural	structural	ADJ
faba-298	216	11	breaks	break	NOUN
faba-298	216	12	detected	detect	VERB
faba-298	216	13	,	,	PUNCT
faba-298	216	14	particularly	particularly	ADV
faba-298	216	15	during	during	ADP
faba-298	216	16	2020–2022	2020–2022	NUM
faba-298	216	17	,	,	PUNCT
faba-298	216	18	underscore	underscore	VERB
faba-298	216	19	the	the	DET
faba-298	216	20	sensitivity	sensitivity	NOUN
faba-298	216	21	of	of	ADP
faba-298	216	22	equity	equity	NOUN
faba-298	216	23	markets	market	NOUN
faba-298	216	24	to	to	ADP
faba-298	216	25	macroeconomic	macroeconomic	ADJ
faba-298	216	26	shocks	shock	NOUN
faba-298	216	27	such	such	ADJ
faba-298	216	28	as	as	ADP
faba-298	216	29	pandemic	pandemic	ADJ
faba-298	216	30	disruptions	disruption	NOUN
faba-298	216	31	and	and	CCONJ
faba-298	216	32	monetary	monetary	ADJ
faba-298	216	33	tightening	tightening	NOUN
faba-298	216	34	.	.	PUNCT
faba-298	217	1	regulators	regulator	NOUN
faba-298	217	2	must	must	AUX
faba-298	217	3	therefore	therefore	ADV
faba-298	217	4	strengthen	strengthen	VERB
faba-298	217	5	macroprudential	macroprudential	ADJ
faba-298	217	6	frameworks	framework	NOUN
faba-298	217	7	to	to	PART
faba-298	217	8	mitigate	mitigate	VERB
faba-298	217	9	systemic	systemic	ADJ
faba-298	217	10	risks	risk	NOUN
faba-298	217	11	originating	originate	VERB
faba-298	217	12	from	from	ADP
faba-298	217	13	speculative	speculative	ADJ
faba-298	217	14	behavior	behavior	NOUN
faba-298	217	15	in	in	ADP
faba-298	217	16	high	high	ADJ
faba-298	217	17	-	-	PUNCT
faba-298	217	18	growth	growth	NOUN
faba-298	217	19	sectors	sector	NOUN
faba-298	217	20	(	(	PUNCT
faba-298	217	21	borio	borio	NOUN
faba-298	217	22	2014	2014	NUM
faba-298	217	23	)	)	PUNCT
faba-298	217	24	.	.	PUNCT
faba-298	218	1	by	by	ADP
faba-298	218	2	integrating	integrate	VERB
faba-298	218	3	real	real	ADJ
faba-298	218	4	-	-	PUNCT
faba-298	218	5	time	time	NOUN
faba-298	218	6	financial	financial	ADJ
faba-298	218	7	analytics	analytic	NOUN
faba-298	218	8	powered	power	VERB
faba-298	218	9	by	by	ADP
faba-298	218	10	deep	deep	ADJ
faba-298	218	11	learning	learning	NOUN
faba-298	218	12	,	,	PUNCT
faba-298	218	13	central	central	ADJ
faba-298	218	14	banks	bank	NOUN
faba-298	218	15	can	can	AUX
faba-298	218	16	enhance	enhance	VERB
faba-298	218	17	their	their	PRON
faba-298	218	18	surveillance	surveillance	NOUN
faba-298	218	19	systems	system	NOUN
faba-298	218	20	to	to	PART
faba-298	218	21	detect	detect	VERB
faba-298	218	22	abrupt	abrupt	ADJ
faba-298	218	23	regime	regime	NOUN
faba-298	218	24	shifts	shift	NOUN
faba-298	218	25	or	or	CCONJ
faba-298	218	26	“	"	PUNCT
faba-298	218	27	flash	flash	NOUN
faba-298	218	28	crashes	crash	NOUN
faba-298	218	29	,	,	PUNCT
faba-298	218	30	”	"	PUNCT
faba-298	218	31	thus	thus	ADV
faba-298	218	32	improving	improve	VERB
faba-298	218	33	crisis	crisis	NOUN
faba-298	218	34	response	response	NOUN
faba-298	218	35	mechanisms	mechanism	NOUN
faba-298	218	36	(	(	PUNCT
faba-298	218	37	adrian	adrian	PROPN
faba-298	218	38	and	and	CCONJ
faba-298	218	39	liang	liang	PROPN
faba-298	218	40	2018	2018	NUM
faba-298	218	41	)	)	PUNCT
faba-298	218	42	.	.	PUNCT
faba-298	219	1	secondly	secondly	ADV
faba-298	219	2	,	,	PUNCT
faba-298	219	3	the	the	DET
faba-298	219	4	presence	presence	NOUN
faba-298	219	5	of	of	ADP
faba-298	219	6	multiple	multiple	ADJ
faba-298	219	7	structural	structural	ADJ
faba-298	219	8	breaks	break	NOUN
faba-298	219	9	emphasizes	emphasize	VERB
faba-298	219	10	the	the	DET
faba-298	219	11	role	role	NOUN
faba-298	219	12	of	of	ADP
faba-298	219	13	monetary	monetary	ADJ
faba-298	219	14	policy	policy	NOUN
faba-298	219	15	in	in	ADP
faba-298	219	16	shaping	shape	VERB
faba-298	219	17	investor	investor	NOUN
faba-298	219	18	expectations	expectation	NOUN
faba-298	219	19	.	.	PUNCT
faba-298	220	1	the	the	DET
faba-298	220	2	breakpoints	breakpoint	NOUN
faba-298	220	3	around	around	ADP
faba-298	220	4	2020–2022	2020–2022	PROPN
faba-298	220	5	correspond	correspond	VERB
faba-298	220	6	to	to	ADP
faba-298	220	7	interest	interest	NOUN
faba-298	220	8	rate	rate	NOUN
faba-298	220	9	adjustments	adjustment	NOUN
faba-298	220	10	and	and	CCONJ
faba-298	220	11	inflationary	inflationary	ADJ
faba-298	220	12	pressures	pressure	NOUN
faba-298	220	13	,	,	PUNCT
faba-298	220	14	consistent	consistent	ADJ
faba-298	220	15	with	with	ADP
faba-298	220	16	findings	finding	NOUN
faba-298	220	17	that	that	SCONJ
faba-298	220	18	liquidity	liquidity	NOUN
faba-298	220	19	tightening	tightening	NOUN
faba-298	220	20	can	can	AUX
faba-298	220	21	induce	induce	VERB
faba-298	220	22	valuation	valuation	NOUN
faba-298	220	23	corrections	correction	NOUN
faba-298	220	24	in	in	ADP
faba-298	220	25	growth	growth	NOUN
faba-298	220	26	-	-	PUNCT
faba-298	220	27	oriented	orient	VERB
faba-298	220	28	firms	firm	NOUN
faba-298	220	29	(	(	PUNCT
faba-298	220	30	baker	baker	PROPN
faba-298	220	31	et	et	PROPN
faba-298	220	32	al	al	PROPN
faba-298	220	33	.	.	PROPN
faba-298	220	34	2022	2022	NUM
faba-298	220	35	)	)	PUNCT
faba-298	220	36	.	.	PUNCT
faba-298	221	1	policymakers	policymaker	NOUN
faba-298	221	2	should	should	AUX
faba-298	221	3	therefore	therefore	ADV
faba-298	221	4	recognize	recognize	VERB
faba-298	221	5	that	that	SCONJ
faba-298	221	6	abrupt	abrupt	ADJ
faba-298	221	7	policy	policy	NOUN
faba-298	221	8	normalization	normalization	NOUN
faba-298	221	9	can	can	AUX
faba-298	221	10	amplify	amplify	VERB
faba-298	221	11	volatility	volatility	NOUN
faba-298	221	12	in	in	ADP
faba-298	221	13	technology	technology	NOUN
faba-298	221	14	equities	equity	NOUN
faba-298	221	15	that	that	PRON
faba-298	221	16	are	be	AUX
faba-298	221	17	priced	price	VERB
faba-298	221	18	heavily	heavily	ADV
faba-298	221	19	on	on	ADP
faba-298	221	20	future	future	ADJ
faba-298	221	21	earnings	earning	NOUN
faba-298	221	22	potential	potential	NOUN
faba-298	221	23	.	.	PUNCT
faba-298	222	1	this	this	PRON
faba-298	222	2	calls	call	VERB
faba-298	222	3	for	for	ADP
faba-298	222	4	gradual	gradual	ADJ
faba-298	222	5	policy	policy	NOUN
faba-298	222	6	signaling	signal	VERB
faba-298	222	7	and	and	CCONJ
faba-298	222	8	enhanced	enhance	VERB
faba-298	222	9	forward	forward	ADJ
faba-298	222	10	guidance	guidance	NOUN
faba-298	222	11	to	to	PART
faba-298	222	12	allow	allow	VERB
faba-298	222	13	market	market	NOUN
faba-298	222	14	participants	participant	NOUN
faba-298	222	15	to	to	PART
faba-298	222	16	recalibrate	recalibrate	VERB
faba-298	222	17	expectations	expectation	NOUN
faba-298	222	18	smoothly	smoothly	ADV
faba-298	222	19	,	,	PUNCT
faba-298	222	20	reducing	reduce	VERB
faba-298	222	21	the	the	DET
faba-298	222	22	probability	probability	NOUN
faba-298	222	23	of	of	ADP
faba-298	222	24	herding	herding	NOUN
faba-298	222	25	and	and	CCONJ
faba-298	222	26	abrupt	abrupt	ADJ
faba-298	222	27	capital	capital	NOUN
faba-298	222	28	flight	flight	NOUN
faba-298	222	29	(	(	PUNCT
faba-298	222	30	blinder	blinder	PROPN
faba-298	222	31	et	et	PROPN
faba-298	222	32	al	al	PROPN
faba-298	222	33	.	.	PROPN
faba-298	222	34	2008	2008	NUM
faba-298	222	35	)	)	PUNCT
faba-298	222	36	.	.	PUNCT
faba-298	223	1	from	from	ADP
faba-298	223	2	a	a	DET
faba-298	223	3	managerial	managerial	ADJ
faba-298	223	4	standpoint	standpoint	NOUN
faba-298	223	5	,	,	PUNCT
faba-298	223	6	the	the	DET
faba-298	223	7	predictive	predictive	ADJ
faba-298	223	8	evidence	evidence	NOUN
faba-298	223	9	offers	offer	VERB
faba-298	223	10	actionable	actionable	ADJ
faba-298	223	11	guidance	guidance	NOUN
faba-298	223	12	for	for	ADP
faba-298	223	13	strategic	strategic	ADJ
faba-298	223	14	decision	decision	NOUN
faba-298	223	15	-	-	PUNCT
faba-298	223	16	making	make	VERB
faba-298	223	17	and	and	CCONJ
faba-298	223	18	risk	risk	NOUN
faba-298	223	19	management	management	NOUN
faba-298	223	20	.	.	PUNCT
faba-298	224	1	the	the	DET
faba-298	224	2	lstm	lstm	PROPN
faba-298	224	3	model	model	PROPN
faba-298	224	4	’s	’s	PART
faba-298	224	5	superior	superior	ADJ
faba-298	224	6	predictive	predictive	ADJ
faba-298	224	7	accuracy	accuracy	NOUN
faba-298	224	8	indicates	indicate	VERB
faba-298	224	9	that	that	SCONJ
faba-298	224	10	firm	firm	ADJ
faba-298	224	11	managers	manager	NOUN
faba-298	224	12	can	can	AUX
faba-298	224	13	leverage	leverage	VERB
faba-298	224	14	such	such	ADJ
faba-298	224	15	models	model	NOUN
faba-298	224	16	to	to	PART
faba-298	224	17	anticipate	anticipate	VERB
faba-298	224	18	short	short	ADJ
faba-298	224	19	-	-	PUNCT
faba-298	224	20	term	term	NOUN
faba-298	224	21	price	price	NOUN
faba-298	224	22	movements	movement	NOUN
faba-298	224	23	,	,	PUNCT
faba-298	224	24	enabling	enable	VERB
faba-298	224	25	better	well	ADJ
faba-298	224	26	timing	timing	NOUN
faba-298	224	27	of	of	ADP
faba-298	224	28	share	share	NOUN
faba-298	224	29	adedeji	adedeji	NOUN
faba-298	224	30	daniel	daniel	PROPN
faba-298	224	31	gbadebo	gbadebo	PROPN
faba-298	224	32	/	/	SYM
faba-298	224	33	finance	finance	PROPN
faba-298	224	34	,	,	PUNCT
faba-298	224	35	accounting	accounting	NOUN
faba-298	224	36	and	and	CCONJ
faba-298	224	37	business	business	NOUN
faba-298	224	38	analysis	analysis	NOUN
faba-298	224	39	,	,	PUNCT
faba-298	224	40	volume	volume	NOUN
faba-298	224	41	7	7	NUM
faba-298	224	42	,	,	PUNCT
faba-298	224	43	issue	issue	NOUN
faba-298	224	44	2	2	NUM
faba-298	224	45	,	,	PUNCT
faba-298	224	46	2025	2025	NUM
faba-298	224	47	320	320	NUM
faba-298	224	48	repurchases	repurchase	NOUN
faba-298	224	49	,	,	PUNCT
faba-298	224	50	capital	capital	NOUN
faba-298	224	51	issuance	issuance	NOUN
faba-298	224	52	,	,	PUNCT
faba-298	224	53	or	or	CCONJ
faba-298	224	54	hedging	hedging	NOUN
faba-298	224	55	activities	activity	NOUN
faba-298	224	56	.	.	PUNCT
faba-298	225	1	for	for	ADP
faba-298	225	2	example	example	NOUN
faba-298	225	3	,	,	PUNCT
faba-298	225	4	the	the	DET
faba-298	225	5	elevated	elevated	ADJ
faba-298	225	6	mse	mse	NOUN
faba-298	225	7	loss	loss	NOUN
faba-298	225	8	for	for	ADP
faba-298	225	9	tesla	tesla	PROPN
faba-298	225	10	signals	signal	VERB
faba-298	225	11	the	the	DET
faba-298	225	12	heightened	heighten	VERB
faba-298	225	13	uncertainty	uncertainty	NOUN
faba-298	225	14	faced	face	VERB
faba-298	225	15	by	by	ADP
faba-298	225	16	firms	firm	NOUN
faba-298	225	17	engaged	engage	VERB
faba-298	225	18	in	in	ADP
faba-298	225	19	emerging	emerge	VERB
faba-298	225	20	technologies	technology	NOUN
faba-298	225	21	with	with	ADP
faba-298	225	22	rapidly	rapidly	ADV
faba-298	225	23	evolving	evolve	VERB
faba-298	225	24	market	market	NOUN
faba-298	225	25	sentiments	sentiment	NOUN
faba-298	225	26	.	.	PUNCT
faba-298	226	1	managers	manager	NOUN
faba-298	226	2	in	in	ADP
faba-298	226	3	such	such	ADJ
faba-298	226	4	contexts	context	NOUN
faba-298	226	5	should	should	AUX
faba-298	226	6	adopt	adopt	VERB
faba-298	226	7	flexible	flexible	ADJ
faba-298	226	8	financing	financing	NOUN
faba-298	226	9	and	and	CCONJ
faba-298	226	10	inventory	inventory	NOUN
faba-298	226	11	policies	policy	NOUN
faba-298	226	12	to	to	PART
faba-298	226	13	accommodate	accommodate	VERB
faba-298	226	14	abrupt	abrupt	ADJ
faba-298	226	15	demand	demand	NOUN
faba-298	226	16	or	or	CCONJ
faba-298	226	17	valuation	valuation	NOUN
faba-298	226	18	shifts	shift	NOUN
faba-298	226	19	,	,	PUNCT
faba-298	226	20	in	in	ADP
faba-298	226	21	line	line	NOUN
faba-298	226	22	with	with	ADP
faba-298	226	23	dynamic	dynamic	ADJ
faba-298	226	24	capability	capability	NOUN
faba-298	226	25	theory	theory	NOUN
faba-298	226	26	(	(	PUNCT
faba-298	226	27	teece	teece	PROPN
faba-298	226	28	et	et	PROPN
faba-298	226	29	al	al	PROPN
faba-298	226	30	.	.	PROPN
faba-298	226	31	1997	1997	NUM
faba-298	226	32	)	)	PUNCT
faba-298	226	33	.	.	PUNCT
faba-298	227	1	on	on	ADP
faba-298	227	2	a	a	DET
faba-298	227	3	broader	broad	ADJ
faba-298	227	4	economic	economic	ADJ
faba-298	227	5	level	level	NOUN
faba-298	227	6	,	,	PUNCT
faba-298	227	7	the	the	DET
faba-298	227	8	results	result	NOUN
faba-298	227	9	carry	carry	VERB
faba-298	227	10	implications	implication	NOUN
faba-298	227	11	for	for	ADP
faba-298	227	12	financial	financial	ADJ
faba-298	227	13	stability	stability	NOUN
faba-298	227	14	and	and	CCONJ
faba-298	227	15	innovation	innovation	NOUN
faba-298	227	16	policy	policy	NOUN
faba-298	227	17	.	.	PUNCT
faba-298	228	1	the	the	DET
faba-298	228	2	high	high	ADJ
faba-298	228	3	volatility	volatility	NOUN
faba-298	228	4	and	and	CCONJ
faba-298	228	5	episodic	episodic	ADJ
faba-298	228	6	breaks	break	NOUN
faba-298	228	7	in	in	ADP
faba-298	228	8	tesla	tesla	PROPN
faba-298	228	9	and	and	CCONJ
faba-298	228	10	amazon	amazon	NOUN
faba-298	228	11	prices	price	NOUN
faba-298	228	12	mirror	mirror	VERB
faba-298	228	13	speculative	speculative	ADJ
faba-298	228	14	tendencies	tendency	NOUN
faba-298	228	15	in	in	ADP
faba-298	228	16	markets	market	NOUN
faba-298	228	17	with	with	ADP
faba-298	228	18	incomplete	incomplete	ADJ
faba-298	228	19	information	information	NOUN
faba-298	228	20	and	and	CCONJ
faba-298	228	21	innovation	innovation	NOUN
faba-298	228	22	-	-	PUNCT
faba-298	228	23	driven	drive	VERB
faba-298	228	24	narratives	narrative	NOUN
faba-298	228	25	(	(	PUNCT
faba-298	228	26	shiller	shiller	NOUN
faba-298	228	27	2000	2000	NUM
faba-298	228	28	)	)	PUNCT
faba-298	228	29	.	.	PUNCT
faba-298	229	1	policymakers	policymaker	NOUN
faba-298	229	2	should	should	AUX
faba-298	229	3	thus	thus	ADV
faba-298	229	4	design	design	VERB
faba-298	229	5	innovation	innovation	NOUN
faba-298	229	6	-	-	PUNCT
faba-298	229	7	supportive	supportive	ADJ
faba-298	229	8	yet	yet	CCONJ
faba-298	229	9	stability	stability	NOUN
faba-298	229	10	-	-	PUNCT
faba-298	229	11	oriented	orient	VERB
faba-298	229	12	interventions	intervention	NOUN
faba-298	229	13	,	,	PUNCT
faba-298	229	14	including	include	VERB
faba-298	229	15	transparent	transparent	ADJ
faba-298	229	16	disclosure	disclosure	NOUN
faba-298	229	17	requirements	requirement	NOUN
faba-298	229	18	for	for	ADP
faba-298	229	19	emerging	emerge	VERB
faba-298	229	20	technologies	technology	NOUN
faba-298	229	21	and	and	CCONJ
faba-298	229	22	clearer	clear	ADJ
faba-298	229	23	regulatory	regulatory	ADJ
faba-298	229	24	oversight	oversight	NOUN
faba-298	229	25	of	of	ADP
faba-298	229	26	ai	ai	ADJ
faba-298	229	27	-	-	PUNCT
faba-298	229	28	driven	drive	VERB
faba-298	229	29	trading	trading	NOUN
faba-298	229	30	systems	system	NOUN
faba-298	229	31	.	.	PUNCT
faba-298	230	1	ensuring	ensure	VERB
faba-298	230	2	that	that	SCONJ
faba-298	230	3	innovation	innovation	NOUN
faba-298	230	4	incentives	incentive	NOUN
faba-298	230	5	do	do	AUX
faba-298	230	6	not	not	PART
faba-298	230	7	foster	foster	VERB
faba-298	230	8	unsustainable	unsustainable	ADJ
faba-298	230	9	asset	asset	NOUN
faba-298	230	10	bubbles	bubble	NOUN
faba-298	230	11	remains	remain	VERB
faba-298	230	12	a	a	DET
faba-298	230	13	central	central	ADJ
faba-298	230	14	challenge	challenge	NOUN
faba-298	230	15	for	for	ADP
faba-298	230	16	regulators	regulator	NOUN
faba-298	230	17	in	in	ADP
faba-298	230	18	post	post	ADJ
faba-298	230	19	-	-	ADJ
faba-298	230	20	pandemic	pandemic	ADJ
faba-298	230	21	financial	financial	ADJ
faba-298	230	22	governance	governance	NOUN
faba-298	230	23	(	(	PUNCT
faba-298	230	24	lo	lo	PROPN
faba-298	230	25	2004	2004	NUM
faba-298	230	26	)	)	PUNCT
faba-298	230	27	.	.	PUNCT
faba-298	231	1	furthermore	furthermore	ADV
faba-298	231	2	,	,	PUNCT
faba-298	231	3	the	the	DET
faba-298	231	4	documented	document	VERB
faba-298	231	5	regime	regime	NOUN
faba-298	231	6	shifts	shift	NOUN
faba-298	231	7	reinforce	reinforce	VERB
faba-298	231	8	the	the	DET
faba-298	231	9	necessity	necessity	NOUN
faba-298	231	10	of	of	ADP
faba-298	231	11	adaptive	adaptive	ADJ
faba-298	231	12	market	market	NOUN
faba-298	231	13	regulations	regulation	NOUN
faba-298	231	14	.	.	PUNCT
faba-298	232	1	as	as	SCONJ
faba-298	232	2	financial	financial	ADJ
faba-298	232	3	markets	market	NOUN
faba-298	232	4	evolve	evolve	VERB
faba-298	232	5	through	through	ADP
faba-298	232	6	non	non	ADJ
faba-298	232	7	-	-	ADJ
faba-298	232	8	linear	linear	ADJ
faba-298	232	9	dynamics	dynamic	NOUN
faba-298	232	10	,	,	PUNCT
faba-298	232	11	static	static	ADJ
faba-298	232	12	regulatory	regulatory	ADJ
faba-298	232	13	frameworks	framework	NOUN
faba-298	232	14	may	may	AUX
faba-298	232	15	become	become	VERB
faba-298	232	16	obsolete	obsolete	ADJ
faba-298	232	17	.	.	PUNCT
faba-298	233	1	integrating	integrate	VERB
faba-298	233	2	ai	ai	VERB
faba-298	233	3	-	-	PUNCT
faba-298	233	4	driven	drive	VERB
faba-298	233	5	monitoring	monitoring	NOUN
faba-298	233	6	tools	tool	NOUN
faba-298	233	7	within	within	ADP
faba-298	233	8	stock	stock	NOUN
faba-298	233	9	exchanges	exchange	NOUN
faba-298	233	10	and	and	CCONJ
faba-298	233	11	central	central	ADJ
faba-298	233	12	depositories	depository	NOUN
faba-298	233	13	can	can	AUX
faba-298	233	14	enable	enable	VERB
faba-298	233	15	the	the	DET
faba-298	233	16	early	early	ADJ
faba-298	233	17	detection	detection	NOUN
faba-298	233	18	of	of	ADP
faba-298	233	19	market	market	NOUN
faba-298	233	20	anomalies	anomaly	NOUN
faba-298	233	21	,	,	PUNCT
faba-298	233	22	such	such	ADJ
faba-298	233	23	as	as	ADP
faba-298	233	24	algorithmic	algorithmic	ADJ
faba-298	233	25	mispricing	mispricing	NOUN
faba-298	233	26	or	or	CCONJ
faba-298	233	27	coordinated	coordinate	VERB
faba-298	233	28	speculative	speculative	ADJ
faba-298	233	29	trading	trading	NOUN
faba-298	233	30	(	(	PUNCT
faba-298	233	31	zaremba	zaremba	NOUN
faba-298	233	32	et	et	PROPN
faba-298	233	33	al	al	PROPN
faba-298	233	34	.	.	PROPN
faba-298	233	35	2020	2020	NUM
faba-298	233	36	)	)	PUNCT
faba-298	233	37	.	.	PUNCT
faba-298	234	1	such	such	ADJ
faba-298	234	2	initiatives	initiative	NOUN
faba-298	234	3	align	align	VERB
faba-298	234	4	with	with	ADP
faba-298	234	5	the	the	DET
faba-298	234	6	adaptive	adaptive	ADJ
faba-298	234	7	market	market	NOUN
faba-298	234	8	hypothesis	hypothesis	NOUN
faba-298	234	9	,	,	PUNCT
faba-298	234	10	which	which	PRON
faba-298	234	11	emphasizes	emphasize	VERB
faba-298	234	12	the	the	DET
faba-298	234	13	need	need	NOUN
faba-298	234	14	for	for	ADP
faba-298	234	15	continuous	continuous	ADJ
faba-298	234	16	learning	learning	NOUN
faba-298	234	17	and	and	CCONJ
faba-298	234	18	adjustment	adjustment	NOUN
faba-298	234	19	in	in	ADP
faba-298	234	20	market	market	NOUN
faba-298	234	21	institutions	institution	NOUN
faba-298	234	22	(	(	PUNCT
faba-298	234	23	lo	lo	PROPN
faba-298	234	24	2004	2004	NUM
faba-298	234	25	)	)	PUNCT
faba-298	234	26	.	.	PUNCT
faba-298	235	1	by	by	ADP
faba-298	235	2	adopting	adopt	VERB
faba-298	235	3	such	such	ADJ
faba-298	235	4	adaptive	adaptive	ADJ
faba-298	235	5	mechanisms	mechanism	NOUN
faba-298	235	6	,	,	PUNCT
faba-298	235	7	regulators	regulator	NOUN
faba-298	235	8	can	can	AUX
faba-298	235	9	promote	promote	VERB
faba-298	235	10	more	more	ADV
faba-298	235	11	resilient	resilient	ADJ
faba-298	235	12	and	and	CCONJ
faba-298	235	13	transparent	transparent	ADJ
faba-298	235	14	markets	market	NOUN
faba-298	235	15	.	.	PUNCT
faba-298	236	1	from	from	ADP
faba-298	236	2	the	the	DET
faba-298	236	3	investor	investor	NOUN
faba-298	236	4	and	and	CCONJ
faba-298	236	5	portfolio	portfolio	NOUN
faba-298	236	6	management	management	NOUN
faba-298	236	7	perspective	perspective	NOUN
faba-298	236	8	,	,	PUNCT
faba-298	236	9	the	the	DET
faba-298	236	10	lstm	lstm	PROPN
faba-298	236	11	’s	’s	PART
faba-298	236	12	predictive	predictive	ADJ
faba-298	236	13	capabilities	capability	NOUN
faba-298	236	14	highlight	highlight	VERB
faba-298	236	15	new	new	ADJ
faba-298	236	16	avenues	avenue	NOUN
faba-298	236	17	for	for	ADP
faba-298	236	18	algorithmic	algorithmic	ADJ
faba-298	236	19	risk	risk	NOUN
faba-298	236	20	assessment	assessment	NOUN
faba-298	236	21	.	.	PUNCT
faba-298	237	1	investors	investor	NOUN
faba-298	237	2	can	can	AUX
faba-298	237	3	integrate	integrate	VERB
faba-298	237	4	model	model	NOUN
faba-298	237	5	outputs	output	NOUN
faba-298	237	6	into	into	ADP
faba-298	237	7	portfolio	portfolio	NOUN
faba-298	237	8	optimization	optimization	NOUN
faba-298	237	9	frameworks	framework	NOUN
faba-298	237	10	to	to	ADP
faba-298	237	11	rebalance	rebalance	NOUN
faba-298	237	12	assets	asset	NOUN
faba-298	237	13	in	in	ADP
faba-298	237	14	anticipation	anticipation	NOUN
faba-298	237	15	of	of	ADP
faba-298	237	16	volatility	volatility	NOUN
faba-298	237	17	surges	surge	NOUN
faba-298	237	18	,	,	PUNCT
faba-298	237	19	especially	especially	ADV
faba-298	237	20	around	around	ADP
faba-298	237	21	known	know	VERB
faba-298	237	22	breakpoints	breakpoint	NOUN
faba-298	237	23	or	or	CCONJ
faba-298	237	24	policy	policy	NOUN
faba-298	237	25	announcements	announcement	NOUN
faba-298	237	26	.	.	PUNCT
faba-298	238	1	the	the	DET
faba-298	238	2	empirical	empirical	ADJ
faba-298	238	3	evidence	evidence	NOUN
faba-298	238	4	that	that	SCONJ
faba-298	238	5	all	all	DET
faba-298	238	6	series	series	NOUN
faba-298	238	7	become	become	VERB
faba-298	238	8	stationary	stationary	ADJ
faba-298	238	9	after	after	SCONJ
faba-298	238	10	first	first	ADJ
faba-298	238	11	differencing	differencing	NOUN
faba-298	238	12	supports	support	VERB
faba-298	238	13	the	the	DET
faba-298	238	14	notion	notion	NOUN
faba-298	238	15	that	that	SCONJ
faba-298	238	16	return	return	NOUN
faba-298	238	17	-	-	PUNCT
faba-298	238	18	based	base	VERB
faba-298	238	19	forecasting	forecasting	NOUN
faba-298	238	20	is	be	AUX
faba-298	238	21	more	more	ADV
faba-298	238	22	reliable	reliable	ADJ
faba-298	238	23	than	than	ADP
faba-298	238	24	price	price	NOUN
faba-298	238	25	-	-	PUNCT
faba-298	238	26	level	level	NOUN
faba-298	238	27	modeling	modeling	NOUN
faba-298	238	28	.	.	PUNCT
faba-298	239	1	this	this	PRON
faba-298	239	2	reinforces	reinforce	VERB
faba-298	239	3	the	the	DET
faba-298	239	4	practical	practical	ADJ
faba-298	239	5	necessity	necessity	NOUN
faba-298	239	6	of	of	ADP
faba-298	239	7	pre	pre	ADJ
faba-298	239	8	-	-	ADJ
faba-298	239	9	processing	processing	ADJ
faba-298	239	10	financial	financial	ADJ
faba-298	239	11	data	datum	NOUN
faba-298	239	12	before	before	ADP
faba-298	239	13	deploying	deploy	VERB
faba-298	239	14	ai	ai	VERB
faba-298	239	15	-	-	PUNCT
faba-298	239	16	based	base	VERB
faba-298	239	17	trading	trading	NOUN
faba-298	239	18	algorithms	algorithm	NOUN
faba-298	239	19	to	to	PART
faba-298	239	20	prevent	prevent	VERB
faba-298	239	21	bias	bias	NOUN
faba-298	239	22	and	and	CCONJ
faba-298	239	23	overfitting	overfitte	VERB
faba-298	239	24	(	(	PUNCT
faba-298	239	25	hochreiter	hochreiter	NOUN
faba-298	239	26	and	and	CCONJ
faba-298	239	27	schmidhuber	schmidhuber	NOUN
faba-298	239	28	1997	1997	NUM
faba-298	239	29	)	)	PUNCT
faba-298	239	30	.	.	PUNCT
faba-298	240	1	finally	finally	ADV
faba-298	240	2	,	,	PUNCT
faba-298	240	3	at	at	ADP
faba-298	240	4	the	the	DET
faba-298	240	5	intersection	intersection	NOUN
faba-298	240	6	of	of	ADP
faba-298	240	7	public	public	ADJ
faba-298	240	8	policy	policy	NOUN
faba-298	240	9	and	and	CCONJ
faba-298	240	10	firm	firm	ADJ
faba-298	240	11	strategy	strategy	NOUN
faba-298	240	12	,	,	PUNCT
faba-298	240	13	the	the	DET
faba-298	240	14	results	result	NOUN
faba-298	240	15	advocate	advocate	VERB
faba-298	240	16	for	for	ADP
faba-298	240	17	a	a	DET
faba-298	240	18	co	co	ADJ
faba-298	240	19	-	-	ADJ
faba-298	240	20	evolutionary	evolutionary	ADJ
faba-298	240	21	approach	approach	NOUN
faba-298	240	22	between	between	ADP
faba-298	240	23	innovation	innovation	NOUN
faba-298	240	24	policy	policy	NOUN
faba-298	240	25	and	and	CCONJ
faba-298	240	26	financial	financial	ADJ
faba-298	240	27	governance	governance	NOUN
faba-298	240	28	.	.	PUNCT
faba-298	241	1	the	the	DET
faba-298	241	2	post-2020	post-2020	ADJ
faba-298	241	3	structural	structural	ADJ
faba-298	241	4	breaks	break	NOUN
faba-298	241	5	demonstrate	demonstrate	VERB
faba-298	241	6	that	that	SCONJ
faba-298	241	7	exogenous	exogenous	ADJ
faba-298	241	8	shocks	shock	NOUN
faba-298	241	9	,	,	PUNCT
faba-298	241	10	such	such	ADJ
faba-298	241	11	as	as	ADP
faba-298	241	12	pandemics	pandemic	NOUN
faba-298	241	13	or	or	CCONJ
faba-298	241	14	policy	policy	NOUN
faba-298	241	15	shifts	shift	NOUN
faba-298	241	16	,	,	PUNCT
faba-298	241	17	can	can	AUX
faba-298	241	18	destabilize	destabilize	VERB
faba-298	241	19	even	even	ADV
faba-298	241	20	the	the	DET
faba-298	241	21	most	most	ADV
faba-298	241	22	robust	robust	ADJ
faba-298	241	23	technology	technology	NOUN
faba-298	241	24	firms	firm	NOUN
faba-298	241	25	.	.	PUNCT
faba-298	242	1	policymakers	policymaker	NOUN
faba-298	242	2	and	and	CCONJ
faba-298	242	3	corporate	corporate	ADJ
faba-298	242	4	leaders	leader	NOUN
faba-298	242	5	should	should	AUX
faba-298	242	6	therefore	therefore	ADV
faba-298	242	7	co	co	VERB
faba-298	242	8	-	-	VERB
faba-298	242	9	develop	develop	VERB
faba-298	242	10	resilience	resilience	NOUN
faba-298	242	11	frameworks	framework	NOUN
faba-298	242	12	that	that	PRON
faba-298	242	13	integrate	integrate	VERB
faba-298	242	14	predictive	predictive	ADJ
faba-298	242	15	analytics	analytic	NOUN
faba-298	242	16	into	into	ADP
faba-298	242	17	both	both	CCONJ
faba-298	242	18	corporate	corporate	ADJ
faba-298	242	19	strategy	strategy	NOUN
faba-298	242	20	and	and	CCONJ
faba-298	242	21	macroeconomic	macroeconomic	ADJ
faba-298	242	22	planning	planning	NOUN
faba-298	242	23	.	.	PUNCT
faba-298	243	1	this	this	PRON
faba-298	243	2	includes	include	VERB
faba-298	243	3	stress	stress	NOUN
faba-298	243	4	-	-	PUNCT
faba-298	243	5	testing	test	VERB
faba-298	243	6	corporate	corporate	ADJ
faba-298	243	7	valuations	valuation	NOUN
faba-298	243	8	under	under	ADP
faba-298	243	9	simulated	simulated	ADJ
faba-298	243	10	macroeconomic	macroeconomic	ADJ
faba-298	243	11	shocks	shock	NOUN
faba-298	243	12	and	and	CCONJ
faba-298	243	13	encouraging	encourage	VERB
faba-298	243	14	transparency	transparency	NOUN
faba-298	243	15	in	in	ADP
faba-298	243	16	data	data	NOUN
faba-298	243	17	-	-	PUNCT
faba-298	243	18	driven	drive	VERB
faba-298	243	19	decision	decision	NOUN
faba-298	243	20	-	-	PUNCT
faba-298	243	21	making	making	NOUN
faba-298	243	22	(	(	PUNCT
faba-298	243	23	das	das	PROPN
faba-298	243	24	et	et	PROPN
faba-298	243	25	al	al	PROPN
faba-298	243	26	.	.	PROPN
faba-298	243	27	2023	2023	NUM
faba-298	243	28	)	)	PUNCT
faba-298	243	29	.	.	PUNCT
faba-298	244	1	ultimately	ultimately	ADV
faba-298	244	2	,	,	PUNCT
faba-298	244	3	the	the	DET
faba-298	244	4	synergy	synergy	NOUN
faba-298	244	5	between	between	ADP
faba-298	244	6	ai	ai	VERB
faba-298	244	7	-	-	PUNCT
faba-298	244	8	enabled	enable	VERB
faba-298	244	9	forecasting	forecasting	NOUN
faba-298	244	10	models	model	NOUN
faba-298	244	11	and	and	CCONJ
faba-298	244	12	prudent	prudent	ADJ
faba-298	244	13	policy	policy	NOUN
faba-298	244	14	design	design	NOUN
faba-298	244	15	can	can	AUX
faba-298	244	16	enhance	enhance	VERB
faba-298	244	17	economic	economic	ADJ
faba-298	244	18	resilience	resilience	NOUN
faba-298	244	19	in	in	ADP
faba-298	244	20	an	an	DET
faba-298	244	21	increasingly	increasingly	ADV
faba-298	244	22	data	data	NOUN
faba-298	244	23	-	-	PUNCT
faba-298	244	24	driven	drive	VERB
faba-298	244	25	global	global	ADJ
faba-298	244	26	financial	financial	ADJ
faba-298	244	27	system	system	NOUN
faba-298	244	28	.	.	PUNCT
faba-298	245	1	conclusions	conclusion	NOUN
faba-298	245	2	this	this	DET
faba-298	245	3	research	research	NOUN
faba-298	245	4	contributes	contribute	VERB
faba-298	245	5	to	to	ADP
faba-298	245	6	the	the	DET
faba-298	245	7	growing	grow	VERB
faba-298	245	8	body	body	NOUN
faba-298	245	9	of	of	ADP
faba-298	245	10	evidence	evidence	NOUN
faba-298	245	11	supporting	support	VERB
faba-298	245	12	the	the	DET
faba-298	245	13	potential	potential	NOUN
faba-298	245	14	of	of	ADP
faba-298	245	15	lstm	lstm	ADJ
faba-298	245	16	networks	network	NOUN
faba-298	245	17	for	for	ADP
faba-298	245	18	enhancing	enhance	VERB
faba-298	245	19	stock	stock	NOUN
faba-298	245	20	price	price	NOUN
faba-298	245	21	prediction	prediction	NOUN
faba-298	245	22	.	.	PUNCT
faba-298	246	1	by	by	ADP
faba-298	246	2	leveraging	leverage	VERB
faba-298	246	3	the	the	DET
faba-298	246	4	lstm	lstm	NOUN
faba-298	246	5	’s	’s	PART
faba-298	246	6	capacity	capacity	NOUN
faba-298	246	7	to	to	PART
faba-298	246	8	model	model	VERB
faba-298	246	9	complex	complex	ADJ
faba-298	246	10	temporal	temporal	ADJ
faba-298	246	11	relationships	relationship	NOUN
faba-298	246	12	,	,	PUNCT
faba-298	246	13	investors	investor	NOUN
faba-298	246	14	and	and	CCONJ
faba-298	246	15	financial	financial	ADJ
faba-298	246	16	analysts	analyst	NOUN
faba-298	246	17	can	can	AUX
faba-298	246	18	gain	gain	VERB
faba-298	246	19	a	a	DET
faba-298	246	20	more	more	ADV
faba-298	246	21	informed	informed	ADJ
faba-298	246	22	perspective	perspective	NOUN
faba-298	246	23	on	on	ADP
faba-298	246	24	market	market	NOUN
faba-298	246	25	trends	trend	NOUN
faba-298	246	26	and	and	CCONJ
faba-298	246	27	individual	individual	ADJ
faba-298	246	28	stock	stock	NOUN
faba-298	246	29	behavior	behavior	NOUN
faba-298	246	30	(	(	PUNCT
faba-298	246	31	lim	lim	PROPN
faba-298	246	32	et	et	PROPN
faba-298	246	33	al	al	PROPN
faba-298	246	34	2021	2021	NUM
faba-298	246	35	)	)	PUNCT
faba-298	246	36	.	.	PUNCT
faba-298	247	1	the	the	DET
faba-298	247	2	focus	focus	NOUN
faba-298	247	3	on	on	ADP
faba-298	247	4	tesla	tesla	PROPN
faba-298	247	5	,	,	PUNCT
faba-298	247	6	google	google	NOUN
faba-298	247	7	,	,	PUNCT
faba-298	247	8	apple	apple	NOUN
faba-298	247	9	,	,	PUNCT
faba-298	247	10	and	and	CCONJ
faba-298	247	11	amazon	amazon	NOUN
faba-298	247	12	provides	provide	VERB
faba-298	247	13	a	a	DET
faba-298	247	14	practical	practical	ADJ
faba-298	247	15	context	context	NOUN
faba-298	247	16	for	for	ADP
faba-298	247	17	evaluating	evaluate	VERB
faba-298	247	18	the	the	DET
faba-298	247	19	model	model	NOUN
faba-298	247	20	’s	’s	PART
faba-298	247	21	real	real	ADJ
faba-298	247	22	-	-	PUNCT
faba-298	247	23	world	world	NOUN
faba-298	247	24	applicability	applicability	NOUN
faba-298	247	25	.	.	PUNCT
faba-298	248	1	notably	notably	ADV
faba-298	248	2	,	,	PUNCT
faba-298	248	3	advanced	advanced	ADJ
faba-298	248	4	techniques	technique	NOUN
faba-298	248	5	like	like	ADP
faba-298	248	6	lstms	lstms	NOUN
faba-298	248	7	are	be	AUX
faba-298	248	8	not	not	PART
faba-298	248	9	foolproof	foolproof	ADJ
faba-298	248	10	because	because	SCONJ
faba-298	248	11	external	external	ADJ
faba-298	248	12	factors	factor	NOUN
faba-298	248	13	,	,	PUNCT
faba-298	248	14	market	market	NOUN
faba-298	248	15	sentiment	sentiment	NOUN
faba-298	248	16	,	,	PUNCT
faba-298	248	17	and	and	CCONJ
faba-298	248	18	unforeseen	unforeseen	ADJ
faba-298	248	19	events	event	NOUN
faba-298	248	20	can	can	AUX
faba-298	248	21	significantly	significantly	ADV
faba-298	248	22	impact	impact	VERB
faba-298	248	23	stock	stock	NOUN
faba-298	248	24	prices	price	NOUN
faba-298	248	25	.	.	PUNCT
faba-298	249	1	therefore	therefore	ADV
faba-298	249	2	,	,	PUNCT
faba-298	249	3	combining	combine	VERB
faba-298	249	4	predictions	prediction	NOUN
faba-298	249	5	with	with	ADP
faba-298	249	6	thorough	thorough	ADJ
faba-298	249	7	fundamental	fundamental	ADJ
faba-298	249	8	analysis	analysis	NOUN
faba-298	249	9	and	and	CCONJ
faba-298	249	10	risk	risk	NOUN
faba-298	249	11	management	management	NOUN
faba-298	249	12	strategies	strategy	NOUN
faba-298	249	13	is	be	AUX
faba-298	249	14	essential	essential	ADJ
faba-298	249	15	for	for	ADP
faba-298	249	16	sound	sound	ADJ
faba-298	249	17	investment	investment	NOUN
faba-298	249	18	decisions	decision	NOUN
faba-298	249	19	(	(	PUNCT
faba-298	249	20	kumar	kumar	PROPN
faba-298	249	21	et	et	PROPN
faba-298	249	22	al	al	PROPN
faba-298	249	23	.	.	PROPN
faba-298	249	24	2023	2023	NUM
faba-298	249	25	)	)	PUNCT
faba-298	249	26	.	.	PUNCT
faba-298	250	1	however	however	ADV
faba-298	250	2	,	,	PUNCT
faba-298	250	3	this	this	DET
faba-298	250	4	study	study	NOUN
faba-298	250	5	is	be	AUX
faba-298	250	6	not	not	PART
faba-298	250	7	without	without	ADP
faba-298	250	8	limitations	limitation	NOUN
faba-298	250	9	.	.	PUNCT
faba-298	251	1	the	the	DET
faba-298	251	2	analysis	analysis	NOUN
faba-298	251	3	is	be	AUX
faba-298	251	4	confined	confine	VERB
faba-298	251	5	to	to	ADP
faba-298	251	6	daily	daily	ADJ
faba-298	251	7	data	datum	NOUN
faba-298	251	8	spanning	span	VERB
faba-298	251	9	2019	2019	NUM
faba-298	251	10	–	–	PUNCT
faba-298	251	11	2023	2023	NUM
faba-298	251	12	,	,	PUNCT
faba-298	251	13	which	which	PRON
faba-298	251	14	,	,	PUNCT
faba-298	251	15	although	although	SCONJ
faba-298	251	16	comprehensive	comprehensive	ADJ
faba-298	251	17	,	,	PUNCT
faba-298	251	18	does	do	AUX
faba-298	251	19	not	not	PART
faba-298	251	20	capture	capture	VERB
faba-298	251	21	post-2023	post-2023	ADJ
faba-298	251	22	structural	structural	ADJ
faba-298	251	23	and	and	CCONJ
faba-298	251	24	policy	policy	NOUN
faba-298	251	25	developments	development	NOUN
faba-298	251	26	due	due	ADP
faba-298	251	27	to	to	ADP
faba-298	251	28	the	the	DET
faba-298	251	29	data	data	NOUN
faba-298	251	30	unavailability	unavailability	NOUN
faba-298	251	31	at	at	ADP
faba-298	251	32	the	the	DET
faba-298	251	33	time	time	NOUN
faba-298	251	34	of	of	ADP
faba-298	251	35	analysis	analysis	NOUN
faba-298	251	36	.	.	PUNCT
faba-298	252	1	extending	extend	VERB
faba-298	252	2	the	the	DET
faba-298	252	3	dataset	dataset	NOUN
faba-298	252	4	to	to	ADP
faba-298	252	5	2024/12	2024/12	NUM
faba-298	252	6	,	,	PUNCT
faba-298	252	7	as	as	SCONJ
faba-298	252	8	suggested	suggest	VERB
faba-298	252	9	,	,	PUNCT
faba-298	252	10	was	be	AUX
faba-298	252	11	not	not	PART
faba-298	252	12	feasible	feasible	ADJ
faba-298	252	13	because	because	SCONJ
faba-298	252	14	complete	complete	ADJ
faba-298	252	15	and	and	CCONJ
faba-298	252	16	validated	validated	ADJ
faba-298	252	17	stock	stock	NOUN
faba-298	252	18	price	price	NOUN
faba-298	252	19	records	record	NOUN
faba-298	252	20	for	for	ADP
faba-298	252	21	all	all	DET
faba-298	252	22	four	four	NUM
faba-298	252	23	firms	firm	NOUN
faba-298	252	24	were	be	AUX
faba-298	252	25	not	not	PART
faba-298	252	26	yet	yet	ADV
faba-298	252	27	released	release	VERB
faba-298	252	28	in	in	ADP
faba-298	252	29	consistent	consistent	ADJ
faba-298	252	30	format	format	NOUN
faba-298	252	31	across	across	ADP
faba-298	252	32	data	datum	NOUN
faba-298	252	33	repositories	repository	NOUN
faba-298	252	34	during	during	ADP
faba-298	252	35	the	the	DET
faba-298	252	36	period	period	NOUN
faba-298	252	37	of	of	ADP
faba-298	252	38	study	study	NOUN
faba-298	252	39	completion	completion	NOUN
faba-298	252	40	(	(	PUNCT
faba-298	252	41	january	january	NOUN
faba-298	252	42	2025	2025	NUM
faba-298	252	43	)	)	PUNCT
faba-298	252	44	.	.	PUNCT
faba-298	253	1	furthermore	furthermore	ADV
faba-298	253	2	,	,	PUNCT
faba-298	253	3	the	the	DET
faba-298	253	4	model	model	NOUN
faba-298	253	5	focuses	focus	VERB
faba-298	253	6	exclusively	exclusively	ADV
faba-298	253	7	on	on	ADP
faba-298	253	8	historical	historical	ADJ
faba-298	253	9	price	price	NOUN
faba-298	253	10	dynamics	dynamic	NOUN
faba-298	253	11	and	and	CCONJ
faba-298	253	12	does	do	AUX
faba-298	253	13	not	not	PART
faba-298	253	14	integrate	integrate	VERB
faba-298	253	15	other	other	ADJ
faba-298	253	16	relevant	relevant	ADJ
faba-298	253	17	financial	financial	ADJ
faba-298	253	18	variables	variable	NOUN
faba-298	253	19	such	such	ADJ
faba-298	253	20	as	as	ADP
faba-298	253	21	trading	trading	NOUN
faba-298	253	22	volume	volume	NOUN
faba-298	253	23	,	,	PUNCT
faba-298	253	24	macroeconomic	macroeconomic	ADJ
faba-298	253	25	indicators	indicator	NOUN
faba-298	253	26	,	,	PUNCT
faba-298	253	27	or	or	CCONJ
faba-298	253	28	sentiment	sentiment	NOUN
faba-298	253	29	data	datum	NOUN
faba-298	253	30	.	.	PUNCT
faba-298	254	1	these	these	DET
faba-298	254	2	omissions	omission	NOUN
faba-298	254	3	may	may	AUX
faba-298	254	4	limit	limit	VERB
faba-298	254	5	the	the	DET
faba-298	254	6	model	model	NOUN
faba-298	254	7	’s	’s	PART
faba-298	254	8	ability	ability	NOUN
faba-298	254	9	to	to	PART
faba-298	254	10	fully	fully	ADV
faba-298	254	11	capture	capture	VERB
faba-298	254	12	multidimensional	multidimensional	ADJ
faba-298	254	13	drivers	driver	NOUN
faba-298	254	14	of	of	ADP
faba-298	254	15	stock	stock	NOUN
faba-298	254	16	behavior	behavior	NOUN
faba-298	254	17	,	,	PUNCT
faba-298	254	18	particularly	particularly	ADV
faba-298	254	19	during	during	ADP
faba-298	254	20	high	high	ADJ
faba-298	254	21	-	-	PUNCT
faba-298	254	22	volatility	volatility	NOUN
faba-298	254	23	regimes	regime	NOUN
faba-298	254	24	.	.	PUNCT
faba-298	255	1	another	another	DET
faba-298	255	2	limitation	limitation	NOUN
faba-298	255	3	concerns	concern	VERB
faba-298	255	4	the	the	DET
faba-298	255	5	inherent	inherent	ADJ
faba-298	255	6	black	black	ADJ
faba-298	255	7	-	-	PUNCT
faba-298	255	8	box	box	NOUN
faba-298	255	9	nature	nature	NOUN
faba-298	255	10	of	of	ADP
faba-298	255	11	lstm	lstm	NOUN
faba-298	255	12	models	model	NOUN
faba-298	255	13	,	,	PUNCT
faba-298	255	14	which	which	PRON
faba-298	255	15	constrains	constrain	VERB
faba-298	255	16	interpretability	interpretability	NOUN
faba-298	255	17	and	and	CCONJ
faba-298	255	18	may	may	AUX
faba-298	255	19	obscure	obscure	VERB
faba-298	255	20	the	the	DET
faba-298	255	21	underlying	underlie	VERB
faba-298	255	22	causal	causal	ADJ
faba-298	255	23	mechanisms	mechanism	NOUN
faba-298	255	24	behind	behind	ADP
faba-298	255	25	predicted	predict	VERB
faba-298	255	26	price	price	NOUN
faba-298	255	27	movements	movement	NOUN
faba-298	255	28	(	(	PUNCT
faba-298	255	29	makridakis	makridaki	NOUN
faba-298	255	30	et	et	PROPN
faba-298	255	31	al	al	PROPN
faba-298	255	32	.	.	PROPN
faba-298	255	33	2018	2018	NUM
faba-298	255	34	)	)	PUNCT
faba-298	255	35	.	.	PUNCT
faba-298	256	1	additionally	additionally	ADV
faba-298	256	2	,	,	PUNCT
faba-298	256	3	while	while	SCONJ
faba-298	256	4	dropout	dropout	NOUN
faba-298	256	5	regularization	regularization	NOUN
faba-298	256	6	and	and	CCONJ
faba-298	256	7	differencing	differencing	NOUN
faba-298	256	8	were	be	AUX
faba-298	256	9	employed	employ	VERB
faba-298	256	10	to	to	PART
faba-298	256	11	mitigate	mitigate	VERB
faba-298	256	12	overfitting	overfitting	NOUN
faba-298	256	13	and	and	CCONJ
faba-298	256	14	non	non	ADJ
faba-298	256	15	-	-	ADJ
faba-298	256	16	stationarity	stationarity	ADJ
faba-298	256	17	issues	issue	NOUN
faba-298	256	18	,	,	PUNCT
faba-298	256	19	further	far	ADV
faba-298	256	20	robustness	robustness	NOUN
faba-298	256	21	checks	check	NOUN
faba-298	256	22	using	use	VERB
faba-298	256	23	alternative	alternative	ADJ
faba-298	256	24	machine	machine	NOUN
faba-298	256	25	learning	learning	NOUN
faba-298	256	26	models	model	NOUN
faba-298	256	27	could	could	AUX
faba-298	256	28	provide	provide	VERB
faba-298	256	29	a	a	DET
faba-298	256	30	more	more	ADV
faba-298	256	31	comprehensive	comprehensive	ADJ
faba-298	256	32	understanding	understanding	NOUN
faba-298	256	33	of	of	ADP
faba-298	256	34	model	model	NOUN
faba-298	256	35	generalizability	generalizability	NOUN
faba-298	256	36	.	.	PUNCT
faba-298	257	1	these	these	DET
faba-298	257	2	limitations	limitation	NOUN
faba-298	257	3	should	should	AUX
faba-298	257	4	guide	guide	VERB
faba-298	257	5	readers	reader	NOUN
faba-298	257	6	to	to	PART
faba-298	257	7	interpret	interpret	VERB
faba-298	257	8	the	the	DET
faba-298	257	9	findings	finding	NOUN
faba-298	257	10	within	within	ADP
faba-298	257	11	the	the	DET
faba-298	257	12	specific	specific	ADJ
faba-298	257	13	temporal	temporal	ADJ
faba-298	257	14	and	and	CCONJ
faba-298	257	15	methodological	methodological	ADJ
faba-298	257	16	context	context	NOUN
faba-298	257	17	of	of	ADP
faba-298	257	18	the	the	DET
faba-298	257	19	study	study	NOUN
faba-298	257	20	.	.	PUNCT
faba-298	258	1	adedeji	adedeji	PROPN
faba-298	258	2	daniel	daniel	PROPN
faba-298	258	3	gbadebo	gbadebo	PROPN
faba-298	258	4	/	/	SYM
faba-298	258	5	finance	finance	PROPN
faba-298	258	6	,	,	PUNCT
faba-298	258	7	accounting	accounting	NOUN
faba-298	258	8	and	and	CCONJ
faba-298	258	9	business	business	NOUN
faba-298	258	10	analysis	analysis	NOUN
faba-298	258	11	,	,	PUNCT
faba-298	258	12	volume	volume	NOUN
faba-298	258	13	7	7	NUM
faba-298	258	14	,	,	PUNCT
faba-298	258	15	issue	issue	NOUN
faba-298	258	16	2	2	NUM
faba-298	258	17	,	,	PUNCT
faba-298	258	18	2025	2025	NUM
faba-298	258	19	321	321	NUM
faba-298	258	20	future	future	ADJ
faba-298	258	21	research	research	NOUN
faba-298	258	22	should	should	AUX
faba-298	258	23	expand	expand	VERB
faba-298	258	24	the	the	DET
faba-298	258	25	scope	scope	NOUN
faba-298	258	26	by	by	ADP
faba-298	258	27	integrating	integrate	VERB
faba-298	258	28	hybrid	hybrid	ADJ
faba-298	258	29	deep	deep	ADJ
faba-298	258	30	learning	learning	NOUN
faba-298	258	31	architectures	architecture	NOUN
faba-298	258	32	such	such	ADJ
faba-298	258	33	as	as	ADP
faba-298	258	34	lstm	lstm	PROPN
faba-298	258	35	–	–	PUNCT
faba-298	258	36	gru	gru	NOUN
faba-298	258	37	or	or	CCONJ
faba-298	258	38	attention	attention	NOUN
faba-298	258	39	-	-	PUNCT
faba-298	258	40	based	base	VERB
faba-298	258	41	transformers	transformer	NOUN
faba-298	258	42	to	to	PART
faba-298	258	43	enhance	enhance	VERB
faba-298	258	44	model	model	NOUN
faba-298	258	45	transparency	transparency	NOUN
faba-298	258	46	and	and	CCONJ
faba-298	258	47	accuracy	accuracy	NOUN
faba-298	258	48	(	(	PUNCT
faba-298	258	49	zhang	zhang	X
faba-298	258	50	et	et	PROPN
faba-298	258	51	al	al	PROPN
faba-298	258	52	.	.	PROPN
faba-298	258	53	2023	2023	NUM
faba-298	258	54	)	)	PUNCT
faba-298	258	55	.	.	PUNCT
faba-298	259	1	researchers	researcher	NOUN
faba-298	259	2	could	could	AUX
faba-298	259	3	also	also	ADV
faba-298	259	4	explore	explore	VERB
faba-298	259	5	cross	cross	ADJ
faba-298	259	6	-	-	ADJ
faba-298	259	7	market	market	ADJ
faba-298	259	8	applications	application	NOUN
faba-298	259	9	by	by	ADP
faba-298	259	10	comparing	compare	VERB
faba-298	259	11	the	the	DET
faba-298	259	12	performance	performance	NOUN
faba-298	259	13	of	of	ADP
faba-298	259	14	lstm	lstm	NOUN
faba-298	259	15	models	model	NOUN
faba-298	259	16	on	on	ADP
faba-298	259	17	emerging	emerge	VERB
faba-298	259	18	versus	versus	ADP
faba-298	259	19	developed	developed	ADJ
faba-298	259	20	markets	market	NOUN
faba-298	259	21	,	,	PUNCT
faba-298	259	22	enabling	enable	VERB
faba-298	259	23	broader	broad	ADJ
faba-298	259	24	policy	policy	NOUN
faba-298	259	25	and	and	CCONJ
faba-298	259	26	investment	investment	NOUN
faba-298	259	27	implications	implication	NOUN
faba-298	259	28	.	.	PUNCT
faba-298	260	1	in	in	ADP
faba-298	260	2	addition	addition	NOUN
faba-298	260	3	,	,	PUNCT
faba-298	260	4	incorporating	incorporate	VERB
faba-298	260	5	real	real	ADJ
faba-298	260	6	-	-	PUNCT
faba-298	260	7	time	time	NOUN
faba-298	260	8	sentiment	sentiment	NOUN
faba-298	260	9	analysis	analysis	NOUN
faba-298	260	10	from	from	ADP
faba-298	260	11	social	social	ADJ
faba-298	260	12	media	medium	NOUN
faba-298	260	13	,	,	PUNCT
faba-298	260	14	macroeconomic	macroeconomic	ADJ
faba-298	260	15	indicators	indicator	NOUN
faba-298	260	16	,	,	PUNCT
faba-298	260	17	and	and	CCONJ
faba-298	260	18	central	central	ADJ
faba-298	260	19	bank	bank	NOUN
faba-298	260	20	communication	communication	NOUN
faba-298	260	21	variables	variable	NOUN
faba-298	260	22	could	could	AUX
faba-298	260	23	significantly	significantly	ADV
faba-298	260	24	enrich	enrich	VERB
faba-298	260	25	predictive	predictive	ADJ
faba-298	260	26	performance	performance	NOUN
faba-298	260	27	and	and	CCONJ
faba-298	260	28	interpretive	interpretive	ADJ
faba-298	260	29	power	power	NOUN
faba-298	260	30	.	.	PUNCT
faba-298	261	1	longitudinal	longitudinal	ADJ
faba-298	261	2	studies	study	NOUN
faba-298	261	3	examining	examine	VERB
faba-298	261	4	post-2023	post-2023	ADJ
faba-298	261	5	data	datum	NOUN
faba-298	261	6	would	would	AUX
faba-298	261	7	further	far	ADV
faba-298	261	8	clarify	clarify	VERB
faba-298	261	9	how	how	SCONJ
faba-298	261	10	structural	structural	ADJ
faba-298	261	11	changes	change	NOUN
faba-298	261	12	,	,	PUNCT
faba-298	261	13	including	include	VERB
faba-298	261	14	monetary	monetary	ADJ
faba-298	261	15	tightening	tightening	NOUN
faba-298	261	16	and	and	CCONJ
faba-298	261	17	ai	ai	ADJ
faba-298	261	18	-	-	PUNCT
faba-298	261	19	driven	drive	VERB
faba-298	261	20	trading	trading	NOUN
faba-298	261	21	adoption	adoption	NOUN
faba-298	261	22	,	,	PUNCT
faba-298	261	23	influence	influence	NOUN
faba-298	261	24	predictive	predictive	ADJ
faba-298	261	25	dynamics	dynamic	NOUN
faba-298	261	26	.	.	PUNCT
faba-298	262	1	acknowledgements	acknowledgement	NOUN
faba-298	262	2	:	:	PUNCT
faba-298	262	3	the	the	DET
faba-298	262	4	author	author	NOUN
faba-298	262	5	gratefully	gratefully	ADV
faba-298	262	6	acknowledges	acknowledge	VERB
faba-298	262	7	godwin	godwin	PROPN
faba-298	262	8	nwachukwu	nwachukwu	PROPN
faba-298	262	9	nkem	nkem	PROPN
faba-298	262	10	for	for	ADP
faba-298	262	11	his	his	PRON
faba-298	262	12	valuable	valuable	ADJ
faba-298	262	13	support	support	NOUN
faba-298	262	14	,	,	PUNCT
faba-298	262	15	insightful	insightful	ADJ
faba-298	262	16	suggestions	suggestion	NOUN
faba-298	262	17	,	,	PUNCT
faba-298	262	18	and	and	CCONJ
faba-298	262	19	constructive	constructive	ADJ
faba-298	262	20	feedback	feedback	NOUN
faba-298	262	21	throughout	throughout	ADP
faba-298	262	22	the	the	DET
faba-298	262	23	course	course	NOUN
faba-298	262	24	of	of	ADP
faba-298	262	25	this	this	DET
faba-298	262	26	research	research	NOUN
faba-298	262	27	.	.	PUNCT
faba-298	263	1	references	reference	NOUN
faba-298	263	2	adrian	adrian	PROPN
faba-298	263	3	,	,	PUNCT
faba-298	263	4	t.	t.	PROPN
faba-298	263	5	,	,	PUNCT
faba-298	263	6	and	and	CCONJ
faba-298	263	7	n.	n.	PROPN
faba-298	263	8	liang	liang	PROPN
faba-298	263	9	.	.	PROPN
faba-298	263	10	2018	2018	NUM
faba-298	263	11	.	.	PUNCT
faba-298	264	1	monetary	monetary	ADJ
faba-298	264	2	policy	policy	NOUN
faba-298	264	3	,	,	PUNCT
faba-298	264	4	financial	financial	ADJ
faba-298	264	5	conditions	condition	NOUN
faba-298	264	6	,	,	PUNCT
faba-298	264	7	and	and	CCONJ
faba-298	264	8	financial	financial	ADJ
faba-298	264	9	stability	stability	NOUN
faba-298	264	10	.	.	PUNCT
faba-298	265	1	international	international	ADJ
faba-298	265	2	journal	journal	PROPN
faba-298	265	3	of	of	ADP
faba-298	265	4	central	central	ADJ
faba-298	265	5	banking	banking	NOUN
faba-298	265	6	,	,	PUNCT
faba-298	265	7	14(1	14(1	NUM
faba-298	265	8	):	):	PUNCT
faba-298	265	9	73–131	73–131	PROPN
faba-298	265	10	.	.	PROPN
faba-298	265	11	baker	baker	PROPN
faba-298	265	12	,	,	PUNCT
faba-298	265	13	m.	m.	NOUN
faba-298	265	14	,	,	PUNCT
faba-298	265	15	and	and	CCONJ
faba-298	265	16	j.	j.	PROPN
faba-298	265	17	wurgler	wurgler	PROPN
faba-298	265	18	.	.	PUNCT
faba-298	266	1	2007	2007	NUM
faba-298	266	2	.	.	PUNCT
faba-298	267	1	investor	investor	NOUN
faba-298	267	2	sentiment	sentiment	NOUN
faba-298	267	3	in	in	ADP
faba-298	267	4	the	the	DET
faba-298	267	5	stock	stock	NOUN
faba-298	267	6	market	market	NOUN
faba-298	267	7	.	.	PUNCT
faba-298	268	1	journal	journal	NOUN
faba-298	268	2	of	of	ADP
faba-298	268	3	economic	economic	ADJ
faba-298	268	4	perspectives	perspective	NOUN
faba-298	268	5	,	,	PUNCT
faba-298	268	6	21(2	21(2	NUM
faba-298	268	7	):	):	PUNCT
faba-298	268	8	129–151	129–151	NUM
faba-298	268	9	.	.	PUNCT
faba-298	269	1	https://doi.org/10.1257/jep.21.2.129	https://doi.org/10.1257/jep.21.2.129	PROPN
faba-298	269	2	baker	baker	PROPN
faba-298	269	3	,	,	PUNCT
faba-298	269	4	s.	s.	PROPN
faba-298	269	5	r.	r.	PROPN
faba-298	269	6	,	,	PUNCT
faba-298	269	7	n.	n.	PROPN
faba-298	269	8	bloom	bloom	PROPN
faba-298	269	9	,	,	PUNCT
faba-298	269	10	s.	s.	PROPN
faba-298	269	11	j.	j.	PROPN
faba-298	269	12	davis	davis	PROPN
faba-298	269	13	,	,	PUNCT
faba-298	269	14	and	and	CCONJ
faba-298	269	15	s.	s.	PROPN
faba-298	269	16	j.	j.	PROPN
faba-298	269	17	terry	terry	PROPN
faba-298	269	18	.	.	PUNCT
faba-298	269	19	2022	2022	NUM
faba-298	269	20	.	.	PUNCT
faba-298	270	1	covid	covid	NOUN
faba-298	270	2	-	-	PUNCT
faba-298	270	3	induced	induce	VERB
faba-298	270	4	economic	economic	ADJ
faba-298	270	5	uncertainty	uncertainty	NOUN
faba-298	270	6	and	and	CCONJ
faba-298	270	7	its	its	PRON
faba-298	270	8	impact	impact	NOUN
faba-298	270	9	on	on	ADP
faba-298	270	10	financial	financial	ADJ
faba-298	270	11	markets	market	NOUN
faba-298	270	12	.	.	PUNCT
faba-298	271	1	review	review	NOUN
faba-298	271	2	of	of	ADP
faba-298	271	3	asset	asset	NOUN
faba-298	271	4	pricing	pricing	NOUN
faba-298	271	5	studies	study	NOUN
faba-298	271	6	,	,	PUNCT
faba-298	271	7	12(1	12(1	NUM
faba-298	271	8	)	)	PUNCT
faba-298	271	9	,	,	PUNCT
faba-298	271	10	1–38	1–38	PROPN
faba-298	271	11	.	.	PUNCT
faba-298	272	1	https://doi.org/10.3386/w26983	https://doi.org/10.3386/w26983	PROPN
faba-298	272	2	barbosa	barbosa	PROPN
faba-298	272	3	,	,	PUNCT
faba-298	272	4	n.	n.	NOUN
faba-298	272	5	,	,	PUNCT
faba-298	272	6	and	and	CCONJ
faba-298	272	7	r.	r.	PROPN
faba-298	272	8	de	de	PROPN
faba-298	272	9	oliveira	oliveira	PROPN
faba-298	272	10	,	,	PUNCT
faba-298	272	11	r.	r.	PROPN
faba-298	272	12	2020	2020	NUM
faba-298	272	13	.	.	PUNCT
faba-298	273	1	financialization	financialization	NOUN
faba-298	273	2	and	and	CCONJ
faba-298	273	3	innovation	innovation	NOUN
faba-298	273	4	:	:	PUNCT
faba-298	273	5	evidence	evidence	NOUN
faba-298	273	6	from	from	ADP
faba-298	273	7	the	the	DET
faba-298	273	8	u.s	u.s	PROPN
faba-298	273	9	.	.	PROPN
faba-298	273	10	tech	tech	NOUN
faba-298	273	11	sector	sector	NOUN
faba-298	273	12	.	.	PUNCT
faba-298	274	1	technological	technological	ADJ
faba-298	274	2	forecasting	forecasting	NOUN
faba-298	274	3	and	and	CCONJ
faba-298	274	4	social	social	ADJ
faba-298	274	5	change	change	NOUN
faba-298	274	6	,	,	PUNCT
faba-298	274	7	161	161	NUM
faba-298	274	8	:	:	SYM
faba-298	274	9	120254	120254	NUM
faba-298	274	10	.	.	PUNCT
faba-298	275	1	https://doi.org/10.1016/j.techfore.2020.120254	https://doi.org/10.1016/j.techfore.2020.120254	ADJ
faba-298	275	2	blinder	blinder	NOUN
faba-298	275	3	,	,	PUNCT
faba-298	275	4	a.	a.	PROPN
faba-298	275	5	s.	s.	PROPN
faba-298	275	6	,	,	PUNCT
faba-298	275	7	m.	m.	NOUN
faba-298	275	8	ehrmann	ehrmann	PROPN
faba-298	275	9	,	,	PUNCT
faba-298	275	10	m.	m.	NOUN
faba-298	275	11	fratzscher	fratzscher	NOUN
faba-298	275	12	,	,	PUNCT
faba-298	275	13	j.	j.	PROPN
faba-298	275	14	de	de	PROPN
faba-298	275	15	haan	haan	PROPN
faba-298	275	16	,	,	PUNCT
faba-298	275	17	and	and	CCONJ
faba-298	275	18	d.	d.	PROPN
faba-298	275	19	j.	j.	PROPN
faba-298	275	20	jansen	jansen	PROPN
faba-298	275	21	.	.	PROPN
faba-298	275	22	2008	2008	NUM
faba-298	275	23	.	.	PUNCT
faba-298	276	1	central	central	ADJ
faba-298	276	2	bank	bank	PROPN
faba-298	276	3	communication	communication	NOUN
faba-298	276	4	and	and	CCONJ
faba-298	276	5	monetary	monetary	ADJ
faba-298	276	6	policy	policy	NOUN
faba-298	276	7	.	.	PUNCT
faba-298	277	1	journal	journal	NOUN
faba-298	277	2	of	of	ADP
faba-298	277	3	economic	economic	ADJ
faba-298	277	4	literature	literature	NOUN
faba-298	277	5	,	,	PUNCT
faba-298	277	6	46(4	46(4	NOUN
faba-298	277	7	):	):	PUNCT
faba-298	277	8	910–945	910–945	NUM
faba-298	277	9	.	.	PUNCT
faba-298	278	1	https://doi.org/10.1257/jel.46.4.910	https://doi.org/10.1257/jel.46.4.910	NOUN
faba-298	278	2	borio	borio	NOUN
faba-298	278	3	,	,	PUNCT
faba-298	278	4	c.	c.	PROPN
faba-298	278	5	2014	2014	NUM
faba-298	278	6	.	.	PUNCT
faba-298	279	1	the	the	DET
faba-298	279	2	financial	financial	ADJ
faba-298	279	3	cycle	cycle	NOUN
faba-298	279	4	and	and	CCONJ
faba-298	279	5	macroeconomics	macroeconomic	NOUN
faba-298	279	6	:	:	PUNCT
faba-298	279	7	what	what	PRON
faba-298	279	8	have	have	AUX
faba-298	279	9	we	we	PRON
faba-298	279	10	learnt	learn	VERB
faba-298	279	11	?	?	PUNCT
faba-298	280	1	journal	journal	NOUN
faba-298	280	2	of	of	ADP
faba-298	280	3	banking	banking	NOUN
faba-298	280	4	&	&	CCONJ
faba-298	280	5	finance	finance	PROPN
faba-298	280	6	,	,	PUNCT
faba-298	280	7	45	45	NUM
faba-298	280	8	:	:	PUNCT
faba-298	280	9	182–198	182–198	NUM
faba-298	280	10	.	.	PUNCT
faba-298	281	1	https://doi.org/10.1016/j.jbankfin.2013.07.031	https://doi.org/10.1016/j.jbankfin.2013.07.031	PROPN
faba-298	281	2	chen	chen	PROPN
faba-298	281	3	,	,	PUNCT
faba-298	281	4	y.	y.	PROPN
faba-298	281	5	,	,	PUNCT
faba-298	281	6	t.	t.	PROPN
faba-298	281	7	chen	chen	PROPN
faba-298	281	8	,	,	PUNCT
faba-298	281	9	x.	x.	PROPN
faba-298	281	10	wang	wang	PROPN
faba-298	281	11	,	,	PUNCT
faba-298	281	12	j.	j.	PROPN
faba-298	281	13	li	li	PROPN
faba-298	281	14	.	.	PROPN
faba-298	281	15	2020	2020	NUM
faba-298	281	16	.	.	PUNCT
faba-298	282	1	stock	stock	NOUN
faba-298	282	2	price	price	NOUN
faba-298	282	3	prediction	prediction	NOUN
faba-298	282	4	using	use	VERB
faba-298	282	5	deep	deep	ADJ
faba-298	282	6	learning	learning	NOUN
faba-298	282	7	models	model	NOUN
faba-298	282	8	.	.	PUNCT
faba-298	283	1	expert	expert	NOUN
faba-298	283	2	systems	system	NOUN
faba-298	283	3	with	with	ADP
faba-298	283	4	applications	application	NOUN
faba-298	283	5	,	,	PUNCT
faba-298	283	6	159	159	NUM
faba-298	283	7	:	:	SYM
faba-298	283	8	113538	113538	NUM
faba-298	283	9	.	.	PUNCT
faba-298	284	1	https://doi.org/10.1016/j.eswa.2020.113538	https://doi.org/10.1016/j.eswa.2020.113538	PROPN
faba-298	284	2	das	das	PROPN
faba-298	284	3	,	,	PUNCT
faba-298	284	4	n.	n.	PROPN
faba-298	284	5	,	,	PUNCT
faba-298	284	6	b.	b.	PROPN
faba-298	284	7	goswami	goswami	PROPN
faba-298	284	8	,	,	PUNCT
faba-298	284	9	and	and	CCONJ
faba-298	284	10	r.	r.	PROPN
faba-298	284	11	n.	n.	PROPN
faba-298	284	12	a.	a.	PROPN
faba-298	284	13	begum	begum	PROPN
faba-298	284	14	.	.	PUNCT
faba-298	285	1	2023	2023	NUM
faba-298	285	2	.	.	PUNCT
faba-298	286	1	stock	stock	NOUN
faba-298	286	2	prices	price	NOUN
faba-298	286	3	prediction	prediction	NOUN
faba-298	286	4	using	use	VERB
faba-298	286	5	long	long	ADJ
faba-298	286	6	short	short	ADJ
faba-298	286	7	-	-	PUNCT
faba-298	286	8	term	term	NOUN
faba-298	286	9	memory	memory	NOUN
faba-298	286	10	.	.	PUNCT
faba-298	287	1	in	in	ADP
faba-298	287	2	proceedings	proceeding	NOUN
faba-298	287	3	of	of	ADP
faba-298	287	4	the	the	DET
faba-298	287	5	4th	4th	ADJ
faba-298	287	6	international	international	ADJ
faba-298	287	7	conference	conference	NOUN
faba-298	287	8	on	on	ADP
faba-298	287	9	computing	computing	NOUN
faba-298	287	10	and	and	CCONJ
faba-298	287	11	communication	communication	NOUN
faba-298	287	12	systems	system	NOUN
faba-298	287	13	(	(	PUNCT
faba-298	287	14	i3cs	i3cs	X
faba-298	287	15	)	)	PUNCT
faba-298	287	16	(	(	PUNCT
faba-298	287	17	pp	pp	ADV
faba-298	287	18	.	.	PUNCT
faba-298	288	1	1–5	1–5	NUM
faba-298	288	2	)	)	PUNCT
faba-298	288	3	.	.	PUNCT
faba-298	289	1	https://doi.org/10.1109/i3cs58314.2023.10127443	https://doi.org/10.1109/i3cs58314.2023.10127443	PROPN
faba-298	289	2	fama	fama	PROPN
faba-298	289	3	,	,	PUNCT
faba-298	289	4	e.	e.	PROPN
faba-298	289	5	f.	f.	PROPN
faba-298	289	6	1970	1970	NUM
faba-298	289	7	.	.	PUNCT
faba-298	290	1	efficient	efficient	ADJ
faba-298	290	2	capital	capital	NOUN
faba-298	290	3	markets	market	NOUN
faba-298	290	4	:	:	PUNCT
faba-298	290	5	a	a	DET
faba-298	290	6	review	review	NOUN
faba-298	290	7	of	of	ADP
faba-298	290	8	theory	theory	NOUN
faba-298	290	9	and	and	CCONJ
faba-298	290	10	empirical	empirical	ADJ
faba-298	290	11	work	work	NOUN
faba-298	290	12	.	.	PUNCT
faba-298	291	1	journal	journal	PROPN
faba-298	291	2	of	of	ADP
faba-298	291	3	finance	finance	NOUN
faba-298	291	4	,	,	PUNCT
faba-298	291	5	25(2	25(2	NUM
faba-298	291	6	):	):	PUNCT
faba-298	291	7	383–417	383–417	NUM
faba-298	291	8	.	.	PUNCT
faba-298	292	1	https://doi.org/10.1111/j.1540-6261.1970.tb00518.x	https://doi.org/10.1111/j.1540-6261.1970.tb00518.x	PROPN
faba-298	292	2	fama	fama	PROPN
faba-298	292	3	,	,	PUNCT
faba-298	292	4	e.	e.	PROPN
faba-298	292	5	f.	f.	PROPN
faba-298	292	6	,	,	PUNCT
faba-298	292	7	and	and	CCONJ
faba-298	292	8	k.	k.	PROPN
faba-298	292	9	r.	r.	PROPN
faba-298	292	10	french	french	PROPN
faba-298	292	11	.	.	PUNCT
faba-298	293	1	2015	2015	NUM
faba-298	293	2	.	.	PUNCT
faba-298	294	1	a	a	DET
faba-298	294	2	five	five	NUM
faba-298	294	3	-	-	PUNCT
faba-298	294	4	factor	factor	NOUN
faba-298	294	5	asset	asset	NOUN
faba-298	294	6	pricing	pricing	NOUN
faba-298	294	7	model	model	NOUN
faba-298	294	8	.	.	PUNCT
faba-298	295	1	journal	journal	PROPN
faba-298	295	2	of	of	ADP
faba-298	295	3	financial	financial	ADJ
faba-298	295	4	economics	economic	NOUN
faba-298	295	5	,	,	PUNCT
faba-298	295	6	116(1	116(1	NUM
faba-298	295	7	):	):	PUNCT
faba-298	295	8	1–22	1–22	NOUN
faba-298	295	9	.	.	PUNCT
faba-298	296	1	https://doi.org/10.1016/j.jfineco.2014.10.010	https://doi.org/10.1016/j.jfineco.2014.10.010	PROPN
faba-298	296	2	fischer	fischer	PROPN
faba-298	296	3	,	,	PUNCT
faba-298	296	4	t.	t.	PROPN
faba-298	296	5	,	,	PUNCT
faba-298	296	6	and	and	CCONJ
faba-298	296	7	c.	c.	PROPN
faba-298	296	8	krauss	krauss	PROPN
faba-298	296	9	.	.	PROPN
faba-298	297	1	2018	2018	NUM
faba-298	297	2	.	.	PUNCT
faba-298	298	1	deep	deep	ADJ
faba-298	298	2	learning	learning	NOUN
faba-298	298	3	with	with	ADP
faba-298	298	4	long	long	ADJ
faba-298	298	5	short	short	ADJ
faba-298	298	6	-	-	PUNCT
faba-298	298	7	term	term	NOUN
faba-298	298	8	memory	memory	NOUN
faba-298	298	9	networks	network	NOUN
faba-298	298	10	for	for	ADP
faba-298	298	11	financial	financial	ADJ
faba-298	298	12	market	market	NOUN
faba-298	298	13	predictions	prediction	NOUN
faba-298	298	14	.	.	PUNCT
faba-298	299	1	european	european	ADJ
faba-298	299	2	journal	journal	PROPN
faba-298	299	3	of	of	ADP
faba-298	299	4	operational	operational	ADJ
faba-298	299	5	research	research	NOUN
faba-298	299	6	,	,	PUNCT
faba-298	299	7	270(2	270(2	NUM
faba-298	299	8	):	):	PUNCT
faba-298	299	9	654–669	654–669	NUM
faba-298	299	10	.	.	PUNCT
faba-298	300	1	https://doi.org/10.1016/j.ejor.2017.11.054	https://doi.org/10.1016/j.ejor.2017.11.054	ADJ
faba-298	300	2	goswami	goswami	PROPN
faba-298	300	3	,	,	PUNCT
faba-298	300	4	d.	d.	PROPN
faba-298	300	5	k.	k.	PROPN
faba-298	300	6	2023	2023	NUM
faba-298	300	7	.	.	PUNCT
faba-298	300	8	predicting	predict	VERB
faba-298	300	9	the	the	DET
faba-298	300	10	stock	stock	NOUN
faba-298	300	11	price	price	NOUN
faba-298	300	12	/	/	SYM
faba-298	300	13	movements	movement	NOUN
faba-298	300	14	of	of	ADP
faba-298	300	15	companies	company	NOUN
faba-298	300	16	listed	list	VERB
faba-298	300	17	under	under	ADP
faba-298	300	18	bseit	bseit	PROPN
faba-298	300	19	goyal	goyal	PROPN
faba-298	300	20	,	,	PUNCT
faba-298	300	21	a.	a.	NOUN
faba-298	300	22	2004	2004	NUM
faba-298	300	23	.	.	PUNCT
faba-298	301	1	demographics	demographic	NOUN
faba-298	301	2	,	,	PUNCT
faba-298	301	3	stock	stock	NOUN
faba-298	301	4	market	market	NOUN
faba-298	301	5	flows	flow	VERB
faba-298	301	6	,	,	PUNCT
faba-298	301	7	and	and	CCONJ
faba-298	301	8	stock	stock	NOUN
faba-298	301	9	returns	return	NOUN
faba-298	301	10	.	.	PUNCT
faba-298	302	1	journal	journal	NOUN
faba-298	302	2	of	of	ADP
faba-298	302	3	financial	financial	ADJ
faba-298	302	4	and	and	CCONJ
faba-298	302	5	quantitative	quantitative	ADJ
faba-298	302	6	analysis	analysis	NOUN
faba-298	302	7	,	,	PUNCT
faba-298	302	8	39(1	39(1	NUM
faba-298	302	9	):	):	PUNCT
faba-298	302	10	115–142	115–142	NUM
faba-298	302	11	.	.	PUNCT
faba-298	303	1	https://doi.org/10.1017/s0022109000003980	https://doi.org/10.1017/s0022109000003980	DET
faba-298	303	2	hochreiter	hochreiter	NOUN
faba-298	303	3	,	,	PUNCT
faba-298	303	4	s.	s.	PROPN
faba-298	303	5	1997	1997	NUM
faba-298	303	6	.	.	PUNCT
faba-298	304	1	long	long	ADJ
faba-298	304	2	short	short	ADJ
faba-298	304	3	-	-	PUNCT
faba-298	304	4	term	term	NOUN
faba-298	304	5	memory	memory	NOUN
faba-298	304	6	.	.	PUNCT
faba-298	305	1	neural	neural	ADJ
faba-298	305	2	computation	computation	NOUN
faba-298	305	3	,	,	PUNCT
faba-298	305	4	9(8	9(8	NUM
faba-298	305	5	):	):	PUNCT
faba-298	305	6	1735–1780	1735–1780	NUM
faba-298	305	7	.	.	PUNCT
faba-298	306	1	https://doi.org/10.1162/neco.1997.9.8.1735	https://doi.org/10.1162/neco.1997.9.8.1735	PROPN
faba-298	306	2	hochreiter	hochreiter	PROPN
faba-298	306	3	,	,	PUNCT
faba-298	306	4	s.	s.	PROPN
faba-298	306	5	,	,	PUNCT
faba-298	306	6	and	and	CCONJ
faba-298	306	7	j.	j.	PROPN
faba-298	306	8	schmidhuber	schmidhuber	PROPN
faba-298	306	9	.	.	PUNCT
faba-298	307	1	1997	1997	NUM
faba-298	307	2	.	.	PUNCT
faba-298	308	1	flat	flat	ADJ
faba-298	308	2	minima	minima	PROPN
faba-298	308	3	.	.	PUNCT
faba-298	309	1	neural	neural	ADJ
faba-298	309	2	computation	computation	NOUN
faba-298	309	3	,	,	PUNCT
faba-298	309	4	9(1	9(1	NUM
faba-298	309	5	):	):	PUNCT
faba-298	309	6	1–42	1–42	PROPN
faba-298	309	7	.	.	PUNCT
faba-298	310	1	https://doi.org/10.1162/neco.1997.9.1.1	https://doi.org/10.1162/neco.1997.9.1.1	PROPN
faba-298	310	2	jain	jain	PROPN
faba-298	310	3	,	,	PUNCT
faba-298	310	4	k.	k.	PROPN
faba-298	310	5	2017	2017	NUM
faba-298	310	6	.	.	PUNCT
faba-298	311	1	gods	god	NOUN
faba-298	311	2	in	in	ADP
faba-298	311	3	the	the	DET
faba-298	311	4	time	time	NOUN
faba-298	311	5	of	of	ADP
faba-298	311	6	automobility	automobility	NOUN
faba-298	311	7	.	.	PUNCT
faba-298	312	1	current	current	ADJ
faba-298	312	2	anthropology	anthropology	NOUN
faba-298	312	3	,	,	PUNCT
faba-298	312	4	58(s15	58(s15	NUM
faba-298	312	5	):	):	PUNCT
faba-298	312	6	s13	s13	NOUN
faba-298	312	7	–	–	PUNCT
faba-298	312	8	s26	s26	PROPN
faba-298	312	9	.	.	PUNCT
faba-298	313	1	https://doi.org/10.1086/688544	https://doi.org/10.1086/688544	X
faba-298	313	2	joosery	joosery	PROPN
faba-298	313	3	,	,	PUNCT
faba-298	313	4	b.	b.	PROPN
faba-298	313	5	,	,	PUNCT
faba-298	313	6	and	and	CCONJ
faba-298	313	7	g.	g.	PROPN
faba-298	313	8	deepa	deepa	PROPN
faba-298	313	9	.	.	PUNCT
faba-298	314	1	2019	2019	NUM
faba-298	314	2	.	.	PUNCT
faba-298	315	1	comparative	comparative	ADJ
faba-298	315	2	analysis	analysis	NOUN
faba-298	315	3	of	of	ADP
faba-298	315	4	time	time	NOUN
faba-298	315	5	-	-	PUNCT
faba-298	315	6	series	series	NOUN
faba-298	315	7	forecasting	forecasting	NOUN
faba-298	315	8	algorithms	algorithm	NOUN
faba-298	315	9	for	for	ADP
faba-298	315	10	stock	stock	NOUN
faba-298	315	11	price	price	NOUN
faba-298	315	12	prediction	prediction	NOUN
faba-298	315	13	.	.	PUNCT
faba-298	316	1	advanced	advanced	ADJ
faba-298	316	2	information	information	NOUN
faba-298	316	3	science	science	NOUN
faba-298	316	4	and	and	CCONJ
faba-298	316	5	system	system	NOUN
faba-298	316	6	conference	conference	NOUN
faba-298	316	7	proceedings	proceeding	NOUN
faba-298	316	8	,	,	PUNCT
faba-298	316	9	1–6	1–6	NUM
faba-298	316	10	.	.	PUNCT
faba-298	316	11	https://doi.org/10.1145/3373477.3373699	https://doi.org/10.1145/3373477.3373699	PROPN
faba-298	316	12	liao	liao	PROPN
faba-298	316	13	,	,	PUNCT
faba-298	316	14	y.	y.	PROPN
faba-298	316	15	,	,	PUNCT
faba-298	316	16	j.	j.	PROPN
faba-298	316	17	wang	wang	PROPN
faba-298	316	18	,	,	PUNCT
faba-298	316	19	l.	l.	PROPN
faba-298	316	20	liao	liao	PROPN
faba-298	316	21	,	,	PUNCT
faba-298	316	22	x.	x.	PROPN
faba-298	316	23	shu	shu	PROPN
faba-298	316	24	,	,	PUNCT
faba-298	316	25	and	and	CCONJ
faba-298	316	26	t.	t.	PROPN
faba-298	316	27	peng	peng	PROPN
faba-298	316	28	.	.	PUNCT
faba-298	317	1	2024	2024	NUM
faba-298	317	2	.	.	PUNCT
faba-298	318	1	policy	policy	NOUN
faba-298	318	2	synergy	synergy	NOUN
faba-298	318	3	on	on	ADP
faba-298	318	4	stock	stock	NOUN
faba-298	318	5	price	price	NOUN
faba-298	318	6	crash	crash	NOUN
faba-298	318	7	risk	risk	NOUN
faba-298	318	8	:	:	PUNCT
faba-298	318	9	an	an	DET
faba-298	318	10	intergovernmental	intergovernmental	ADJ
faba-298	318	11	perspective	perspective	NOUN
faba-298	318	12	.	.	PUNCT
faba-298	319	1	https://doi.org/10.1016/j.frl.2024.105744	https://doi.org/10.1016/j.frl.2024.105744	PROPN
faba-298	319	2	lim	lim	PROPN
faba-298	319	3	,	,	PUNCT
faba-298	319	4	s.	s.	PROPN
faba-298	319	5	,	,	PUNCT
faba-298	319	6	s.	s.	PROPN
faba-298	319	7	j.	j.	PROPN
faba-298	319	8	kim	kim	PROPN
faba-298	319	9	,	,	PUNCT
faba-298	319	10	y.	y.	PROPN
faba-298	319	11	park	park	PROPN
faba-298	319	12	,	,	PUNCT
faba-298	319	13	and	and	CCONJ
faba-298	319	14	n.	n.	PROPN
faba-298	319	15	kwon	kwon	PROPN
faba-298	319	16	.	.	PUNCT
faba-298	320	1	2021	2021	NUM
faba-298	320	2	.	.	PUNCT
faba-298	321	1	a	a	DET
faba-298	321	2	deep	deep	ADJ
faba-298	321	3	learning	learning	NOUN
faba-298	321	4	-	-	PUNCT
faba-298	321	5	based	base	VERB
faba-298	321	6	time	time	NOUN
faba-298	321	7	series	series	PROPN
faba-298	321	8	model	model	NOUN
faba-298	321	9	with	with	ADP
faba-298	321	10	missing	miss	VERB
faba-298	321	11	value	value	NOUN
faba-298	321	12	handling	handle	VERB
faba-298	321	13	techniques	technique	NOUN
faba-298	321	14	to	to	PART
faba-298	321	15	predict	predict	VERB
faba-298	321	16	various	various	ADJ
faba-298	321	17	types	type	NOUN
faba-298	321	18	of	of	ADP
faba-298	321	19	liquid	liquid	ADJ
faba-298	321	20	cargo	cargo	NOUN
faba-298	321	21	traffic	traffic	NOUN
faba-298	321	22	.	.	PUNCT
faba-298	322	1	expert	expert	NOUN
faba-298	322	2	systems	system	NOUN
faba-298	322	3	with	with	ADP
faba-298	322	4	applications	application	NOUN
faba-298	322	5	,	,	PUNCT
faba-298	322	6	184	184	NUM
faba-298	322	7	:	:	SYM
faba-298	322	8	115532	115532	NUM
faba-298	322	9	.	.	PUNCT
faba-298	323	1	kumar	kumar	PROPN
faba-298	323	2	,	,	PUNCT
faba-298	323	3	s.	s.	PROPN
faba-298	323	4	k.	k.	PROPN
faba-298	323	5	,	,	PUNCT
faba-298	323	6	b.	b.	PROPN
faba-298	323	7	meher	meher	PROPN
faba-298	323	8	,	,	PUNCT
faba-298	323	9	r.	r.	PROPN
faba-298	323	10	birau	birau	PROPN
faba-298	323	11	,	,	PUNCT
faba-298	323	12	m.	m.	NOUN
faba-298	323	13	simion	simion	PROPN
faba-298	323	14	,	,	PUNCT
faba-298	323	15	i.	i.	PROPN
faba-298	323	16	florescu	florescu	PROPN
faba-298	323	17	,	,	PUNCT
faba-298	323	18	a.	a.	PROPN
faba-298	323	19	anand	anand	PROPN
faba-298	323	20	,	,	PUNCT
faba-298	323	21	and	and	CCONJ
faba-298	323	22	s.	s.	PROPN
faba-298	323	23	kumar	kumar	PROPN
faba-298	323	24	.	.	PROPN
faba-298	323	25	2023	2023	NUM
faba-298	323	26	.	.	PUNCT
faba-298	324	1	long	long	ADJ
faba-298	324	2	-	-	PUNCT
faba-298	324	3	term	term	NOUN
faba-298	324	4	volatility	volatility	NOUN
faba-298	324	5	forecasting	forecasting	NOUN
faba-298	324	6	of	of	ADP
faba-298	324	7	brazilian	brazilian	ADJ
faba-298	324	8	stock	stock	NOUN
faba-298	324	9	index	index	NOUN
faba-298	324	10	behavior	behavior	NOUN
faba-298	324	11	.	.	PUNCT
faba-298	325	1	revista	revista	PROPN
faba-298	325	2	de	de	PROPN
faba-298	325	3	stiinte	stiinte	PROPN
faba-298	325	4	politice	politice	PROPN
faba-298	325	5	,	,	PUNCT
faba-298	325	6	79	79	NUM
faba-298	325	7	:	:	PUNCT
faba-298	325	8	9–24	9–24	NUM
faba-298	325	9	.	.	PUNCT
faba-298	326	1	https://doi.org/10.1257/jep.21.2.129	https://doi.org/10.1257/jep.21.2.129	PROPN
faba-298	326	2	https://doi.org/10.3386/w26983	https://doi.org/10.3386/w26983	PROPN
faba-298	326	3	https://doi.org/10.1016/j.techfore.2020.120254	https://doi.org/10.1016/j.techfore.2020.120254	ADJ
faba-298	326	4	https://doi.org/10.1257/jel.46.4.910	https://doi.org/10.1257/jel.46.4.910	NOUN
faba-298	326	5	https://doi.org/10.1016/j.jbankfin.2013.07.031	https://doi.org/10.1016/j.jbankfin.2013.07.031	NOUN
faba-298	326	6	https://doi.org/10.1016/j.eswa.2020.113538	https://doi.org/10.1016/j.eswa.2020.113538	NOUN
faba-298	326	7	https://doi.org/10.1109/i3cs58314.2023.10127443	https://doi.org/10.1109/i3cs58314.2023.10127443	NOUN
faba-298	326	8	https://doi.org/10.1111/j.1540-6261.1970.tb00518.x	https://doi.org/10.1111/j.1540-6261.1970.tb00518.x	PROPN
faba-298	326	9	https://doi.org/10.1016/j.jfineco.2014.10.010	https://doi.org/10.1016/j.jfineco.2014.10.010	PROPN
faba-298	326	10	https://doi.org/10.1016/j.ejor.2017.11.054	https://doi.org/10.1016/j.ejor.2017.11.054	PROPN
faba-298	326	11	https://doi.org/10.1017/s0022109000003980	https://doi.org/10.1017/s0022109000003980	DET
faba-298	326	12	https://doi.org/10.1162/neco.1997.9.8.1735	https://doi.org/10.1162/neco.1997.9.8.1735	NOUN
faba-298	326	13	https://doi.org/10.1162/neco.1997.9.1.1	https://doi.org/10.1162/neco.1997.9.1.1	NOUN
faba-298	326	14	https://doi.org/10.1086/688544	https://doi.org/10.1086/688544	X
faba-298	326	15	https://doi.org/10.1145/3373477.3373699	https://doi.org/10.1145/3373477.3373699	NOUN
faba-298	326	16	adedeji	adedeji	NOUN
faba-298	326	17	daniel	daniel	PROPN
faba-298	326	18	gbadebo	gbadebo	PROPN
faba-298	326	19	/	/	SYM
faba-298	326	20	finance	finance	PROPN
faba-298	326	21	,	,	PUNCT
faba-298	326	22	accounting	accounting	NOUN
faba-298	326	23	and	and	CCONJ
faba-298	326	24	business	business	NOUN
faba-298	326	25	analysis	analysis	NOUN
faba-298	326	26	,	,	PUNCT
faba-298	326	27	volume	volume	NOUN
faba-298	326	28	7	7	NUM
faba-298	326	29	,	,	PUNCT
faba-298	326	30	issue	issue	NOUN
faba-298	326	31	2	2	NUM
faba-298	326	32	,	,	PUNCT
faba-298	326	33	2025	2025	NUM
faba-298	326	34	322	322	NUM
faba-298	326	35	https://doi.org/10.1016/j.eswa.2021.115532	https://doi.org/10.1016/j.eswa.2021.115532	PROPN
faba-298	326	36	lo	lo	PROPN
faba-298	326	37	,	,	PUNCT
faba-298	326	38	a.	a.	PROPN
faba-298	326	39	w.	w.	PROPN
faba-298	326	40	2004	2004	PROPN
faba-298	326	41	.	.	PUNCT
faba-298	327	1	the	the	DET
faba-298	327	2	adaptive	adaptive	ADJ
faba-298	327	3	markets	market	NOUN
faba-298	327	4	hypothesis	hypothesis	NOUN
faba-298	327	5	.	.	PUNCT
faba-298	328	1	journal	journal	PROPN
faba-298	328	2	of	of	ADP
faba-298	328	3	portfolio	portfolio	NOUN
faba-298	328	4	management	management	PROPN
faba-298	328	5	,	,	PUNCT
faba-298	328	6	30(5	30(5	NUM
faba-298	328	7	):	):	PUNCT
faba-298	328	8	15–29	15–29	NUM
faba-298	328	9	.	.	PUNCT
faba-298	329	1	https://doi.org/10.3905/jpm.2004.412486	https://doi.org/10.3905/jpm.2004.412486	PROPN
faba-298	329	2	lupton	lupton	PROPN
faba-298	329	3	,	,	PUNCT
faba-298	329	4	n.	n.	PROPN
faba-298	329	5	c.	c.	PROPN
faba-298	329	6	,	,	PUNCT
faba-298	329	7	v.	v.	ADP
faba-298	329	8	baulkaran	baulkaran	NOUN
faba-298	329	9	,	,	PUNCT
faba-298	329	10	and	and	CCONJ
faba-298	329	11	y.	y.	PROPN
faba-298	329	12	no	no	PROPN
faba-298	329	13	.	.	PUNCT
faba-298	329	14	2022	2022	NUM
faba-298	329	15	.	.	PUNCT
faba-298	330	1	subsidiary	subsidiary	NOUN
faba-298	330	2	staffing	staffing	PROPN
faba-298	330	3	,	,	PUNCT
faba-298	330	4	location	location	NOUN
faba-298	330	5	choice	choice	NOUN
faba-298	330	6	,	,	PUNCT
faba-298	330	7	and	and	CCONJ
faba-298	330	8	shareholder	shareholder	NOUN
faba-298	330	9	rights	right	NOUN
faba-298	330	10	effectiveness	effectiveness	NOUN
faba-298	330	11	.	.	PUNCT
faba-298	331	1	journal	journal	NOUN
faba-298	331	2	of	of	ADP
faba-298	331	3	business	business	NOUN
faba-298	331	4	research	research	NOUN
faba-298	331	5	,	,	PUNCT
faba-298	331	6	151	151	NUM
faba-298	331	7	:	:	PUNCT
faba-298	331	8	222–231	222–231	NUM
faba-298	331	9	.	.	PUNCT
faba-298	332	1	https://doi.org/10.1016/j.jbusres.2022.06.019	https://doi.org/10.1016/j.jbusres.2022.06.019	PROPN
faba-298	332	2	makridakis	makridakis	PROPN
faba-298	332	3	,	,	PUNCT
faba-298	332	4	s.	s.	PROPN
faba-298	332	5	,	,	PUNCT
faba-298	332	6	e.	e.	PROPN
faba-298	332	7	spiliotis	spiliotis	PROPN
faba-298	332	8	,	,	PUNCT
faba-298	332	9	and	and	CCONJ
faba-298	332	10	v.	v.	ADP
faba-298	332	11	assimakopoulos	assimakopoulo	NOUN
faba-298	332	12	.	.	PUNCT
faba-298	333	1	2018	2018	NUM
faba-298	333	2	.	.	PUNCT
faba-298	334	1	statistical	statistical	ADJ
faba-298	334	2	and	and	CCONJ
faba-298	334	3	machine	machine	NOUN
faba-298	334	4	learning	learn	VERB
faba-298	334	5	forecasting	forecasting	NOUN
faba-298	334	6	methods	method	NOUN
faba-298	334	7	.	.	PUNCT
faba-298	335	1	plos	plos	PROPN
faba-298	335	2	one	one	NUM
faba-298	335	3	,	,	PUNCT
faba-298	335	4	13(3	13(3	NUM
faba-298	335	5	):	):	PUNCT
faba-298	335	6	e0194889	e0194889	PROPN
faba-298	335	7	.	.	PUNCT
faba-298	336	1	https://doi.org/10.1371/journal.pone.0194889	https://doi.org/10.1371/journal.pone.0194889	PROPN
faba-298	336	2	nelson	nelson	PROPN
faba-298	336	3	,	,	PUNCT
faba-298	336	4	c.	c.	PROPN
faba-298	336	5	r.	r.	PROPN
faba-298	336	6	,	,	PUNCT
faba-298	336	7	and	and	CCONJ
faba-298	336	8	c.	c.	PROPN
faba-298	336	9	i.	i.	PROPN
faba-298	336	10	plosser	plosser	PROPN
faba-298	336	11	.	.	PUNCT
faba-298	337	1	1982	1982	NUM
faba-298	337	2	.	.	PUNCT
faba-298	338	1	trends	trend	NOUN
faba-298	338	2	and	and	CCONJ
faba-298	338	3	random	random	ADJ
faba-298	338	4	walks	walk	NOUN
faba-298	338	5	in	in	ADP
faba-298	338	6	macroeconomic	macroeconomic	ADJ
faba-298	338	7	time	time	NOUN
faba-298	338	8	series	series	PROPN
faba-298	338	9	.	.	PUNCT
faba-298	339	1	journal	journal	PROPN
faba-298	339	2	of	of	ADP
faba-298	339	3	monetary	monetary	ADJ
faba-298	339	4	economics	economic	NOUN
faba-298	339	5	,	,	PUNCT
faba-298	339	6	10(2	10(2	NUM
faba-298	339	7	):	):	PUNCT
faba-298	339	8	139–152	139–152	NUM
faba-298	339	9	.	.	PUNCT
faba-298	340	1	https://doi.org/10.1016/0304-3932(82)90012-5	https://doi.org/10.1016/0304-3932(82)90012-5	PROPN
faba-298	340	2	nelson	nelson	PROPN
faba-298	340	3	,	,	PUNCT
faba-298	340	4	d.	d.	PROPN
faba-298	340	5	m.	m.	PROPN
faba-298	340	6	q.	q.	PROPN
faba-298	340	7	,	,	PUNCT
faba-298	340	8	a.	a.	PROPN
faba-298	340	9	c.	c.	PROPN
faba-298	340	10	m.	m.	PROPN
faba-298	340	11	pereira	pereira	PROPN
faba-298	340	12	,	,	PUNCT
faba-298	340	13	and	and	CCONJ
faba-298	340	14	r.	r.	PROPN
faba-298	340	15	a.	a.	PROPN
faba-298	340	16	de	de	PROPN
faba-298	340	17	oliveira	oliveira	PROPN
faba-298	340	18	.	.	PROPN
faba-298	340	19	2017	2017	NUM
faba-298	340	20	.	.	PUNCT
faba-298	341	1	stock	stock	NOUN
faba-298	341	2	market	market	NOUN
faba-298	341	3	price	price	NOUN
faba-298	341	4	movement	movement	NOUN
faba-298	341	5	prediction	prediction	NOUN
faba-298	341	6	with	with	ADP
faba-298	341	7	lstm	lstm	PROPN
faba-298	341	8	neural	neural	ADJ
faba-298	341	9	networks	network	NOUN
faba-298	341	10	.	.	PUNCT
faba-298	342	1	in	in	ADP
faba-298	342	2	proceedings	proceeding	NOUN
faba-298	342	3	of	of	ADP
faba-298	342	4	the	the	DET
faba-298	342	5	international	international	ADJ
faba-298	342	6	joint	joint	ADJ
faba-298	342	7	conference	conference	NOUN
faba-298	342	8	on	on	ADP
faba-298	342	9	neural	neural	ADJ
faba-298	342	10	networks	network	NOUN
faba-298	342	11	(	(	PUNCT
faba-298	342	12	ijcnn	ijcnn	PROPN
faba-298	342	13	)	)	PUNCT
faba-298	342	14	(	(	PUNCT
faba-298	342	15	pp	pp	ADV
faba-298	342	16	.	.	PUNCT
faba-298	343	1	1419–1426	1419–1426	NUM
faba-298	343	2	)	)	PUNCT
faba-298	343	3	.	.	PUNCT
faba-298	344	1	https://doi.org/10.1109/ijcnn.2017.7966019	https://doi.org/10.1109/ijcnn.2017.7966019	PROPN
faba-298	344	2	nguyen	nguyen	NOUN
faba-298	344	3	,	,	PUNCT
faba-298	344	4	h.	h.	PROPN
faba-298	344	5	t.	t.	PROPN
faba-298	344	6	,	,	PUNCT
faba-298	344	7	a.	a.	PROPN
faba-298	344	8	n.	n.	PROPN
faba-298	344	9	n.	n.	PROPN
faba-298	344	10	le	le	PROPN
faba-298	344	11	,	,	PUNCT
faba-298	344	12	q.	q.	PROPN
faba-298	344	13	t.	t.	PROPN
faba-298	344	14	luu	luu	PROPN
faba-298	344	15	,	,	PUNCT
faba-298	344	16	n.	n.	PROPN
faba-298	344	17	t.	t.	PROPN
faba-298	344	18	t.	t.	PROPN
faba-298	344	19	nguyen	nguyen	PROPN
faba-298	344	20	,	,	PUNCT
faba-298	344	21	and	and	CCONJ
faba-298	344	22	k.	k.	PROPN
faba-298	344	23	d.	d.	PROPN
faba-298	344	24	duong	duong	PROPN
faba-298	344	25	.	.	PUNCT
faba-298	345	1	2023	2023	NUM
faba-298	345	2	.	.	PUNCT
faba-298	346	1	foreign	foreign	ADJ
faba-298	346	2	ownership	ownership	NOUN
faba-298	346	3	,	,	PUNCT
faba-298	346	4	investor	investor	NOUN
faba-298	346	5	attention	attention	NOUN
faba-298	346	6	and	and	CCONJ
faba-298	346	7	the	the	DET
faba-298	346	8	risk	risk	NOUN
faba-298	346	9	-	-	PUNCT
faba-298	346	10	taking	take	VERB
faba-298	346	11	behavior	behavior	NOUN
faba-298	346	12	of	of	ADP
faba-298	346	13	property	property	NOUN
faba-298	346	14	and	and	CCONJ
faba-298	346	15	casualty	casualty	NOUN
faba-298	346	16	insurance	insurance	NOUN
faba-298	346	17	firms	firm	NOUN
faba-298	346	18	:	:	PUNCT
faba-298	346	19	evidence	evidence	NOUN
faba-298	346	20	from	from	ADP
faba-298	346	21	vietnam	vietnam	PROPN
faba-298	346	22	.	.	PUNCT
faba-298	347	1	sage	sage	NOUN
faba-298	347	2	open	open	ADJ
faba-298	347	3	,	,	PUNCT
faba-298	347	4	13(4	13(4	NUM
faba-298	347	5	):	):	PUNCT
faba-298	347	6	21582440231211971	21582440231211971	NUM
faba-298	347	7	.	.	PUNCT
faba-298	348	1	https://doi.org/10.1177/21582440231211971	https://doi.org/10.1177/21582440231211971	X
faba-298	348	2	nurazi	nurazi	PROPN
faba-298	348	3	,	,	PUNCT
faba-298	348	4	r.	r.	PROPN
faba-298	348	5	,	,	PUNCT
faba-298	348	6	and	and	CCONJ
faba-298	348	7	b.	b.	PROPN
faba-298	348	8	usman	usman	PROPN
faba-298	348	9	.	.	PROPN
faba-298	348	10	2016	2016	NUM
faba-298	348	11	.	.	PUNCT
faba-298	349	1	bank	bank	NOUN
faba-298	349	2	stock	stock	NOUN
faba-298	349	3	returns	return	NOUN
faba-298	349	4	in	in	ADP
faba-298	349	5	responding	respond	VERB
faba-298	349	6	the	the	DET
faba-298	349	7	contribution	contribution	NOUN
faba-298	349	8	of	of	ADP
faba-298	349	9	fundamental	fundamental	ADJ
faba-298	349	10	and	and	CCONJ
faba-298	349	11	macroeconomic	macroeconomic	ADJ
faba-298	349	12	effects	effect	NOUN
faba-298	349	13	.	.	PUNCT
faba-298	350	1	journal	journal	NOUN
faba-298	350	2	of	of	ADP
faba-298	350	3	economics	economic	NOUN
faba-298	350	4	and	and	CCONJ
faba-298	350	5	policy	policy	NOUN
faba-298	350	6	,	,	PUNCT
faba-298	350	7	9(1	9(1	NUM
faba-298	350	8	):	):	PUNCT
faba-298	350	9	134	134	NUM
faba-298	350	10	-	-	SYM
faba-298	350	11	149	149	NUM
faba-298	350	12	.	.	PUNCT
faba-298	351	1	ouyang	ouyang	PROPN
faba-298	351	2	,	,	PUNCT
faba-298	351	3	z.	z.	PROPN
faba-298	351	4	,	,	PUNCT
faba-298	351	5	x.	x.	PROPN
faba-298	351	6	wang	wang	PROPN
faba-298	351	7	,	,	PUNCT
faba-298	351	8	and	and	CCONJ
faba-298	351	9	y.	y.	PROPN
faba-298	351	10	liu	liu	PROPN
faba-298	351	11	.	.	PUNCT
faba-298	352	1	2024	2024	NUM
faba-298	352	2	.	.	PUNCT
faba-298	353	1	the	the	DET
faba-298	353	2	use	use	NOUN
faba-298	353	3	of	of	ADP
faba-298	353	4	corporate	corporate	ADJ
faba-298	353	5	social	social	ADJ
faba-298	353	6	responsibility	responsibility	NOUN
faba-298	353	7	in	in	ADP
faba-298	353	8	response	response	NOUN
faba-298	353	9	to	to	PART
faba-298	353	10	product‐	product‐	VERB
faba-298	353	11	harm	harm	NOUN
faba-298	353	12	crisis	crisis	NOUN
faba-298	353	13	:	:	PUNCT
faba-298	353	14	how	how	SCONJ
faba-298	353	15	do	do	AUX
faba-298	353	16	stock	stock	NOUN
faba-298	353	17	market	market	NOUN
faba-298	353	18	reactions	reaction	NOUN
faba-298	353	19	matter	matter	VERB
faba-298	353	20	?	?	PUNCT
faba-298	353	21	.	.	PUNCT
faba-298	354	1	corporate	corporate	ADJ
faba-298	354	2	social	social	ADJ
faba-298	354	3	responsibility	responsibility	NOUN
faba-298	354	4	and	and	CCONJ
faba-298	354	5	environmental	environmental	ADJ
faba-298	354	6	management	management	NOUN
faba-298	354	7	,	,	PUNCT
faba-298	354	8	31(4	31(4	NUM
faba-298	354	9	):	):	PUNCT
faba-298	354	10	3081	3081	NUM
faba-298	354	11	-	-	SYM
faba-298	354	12	3097	3097	NUM
faba-298	354	13	.	.	PUNCT
faba-298	355	1	https://doi.org/10.1002/csr.2739	https://doi.org/10.1002/csr.2739	PROPN
faba-298	355	2	ouyang	ouyang	PROPN
faba-298	355	3	,	,	PUNCT
faba-298	355	4	z.	z.	PROPN
faba-298	355	5	2022	2022	NUM
faba-298	355	6	,	,	PUNCT
faba-298	355	7	march	march	PROPN
faba-298	355	8	.	.	PUNCT
faba-298	356	1	a	a	DET
faba-298	356	2	study	study	NOUN
faba-298	356	3	of	of	ADP
faba-298	356	4	stock	stock	NOUN
faba-298	356	5	portfolio	portfolio	NOUN
faba-298	356	6	strategy	strategy	NOUN
faba-298	356	7	based	base	VERB
faba-298	356	8	on	on	ADP
faba-298	356	9	machine	machine	NOUN
faba-298	356	10	learning	learning	NOUN
faba-298	356	11	.	.	PUNCT
faba-298	357	1	in	in	ADP
faba-298	357	2	2022	2022	NUM
faba-298	357	3	7th	7th	ADJ
faba-298	357	4	international	international	ADJ
faba-298	357	5	conference	conference	NOUN
faba-298	357	6	on	on	ADP
faba-298	357	7	financial	financial	ADJ
faba-298	357	8	innovation	innovation	NOUN
faba-298	357	9	and	and	CCONJ
faba-298	357	10	economic	economic	ADJ
faba-298	357	11	development	development	NOUN
faba-298	357	12	(	(	PUNCT
faba-298	357	13	icfied	icfie	VERB
faba-298	357	14	2022	2022	NUM
faba-298	357	15	)	)	PUNCT
faba-298	357	16	(	(	PUNCT
faba-298	357	17	pp	pp	X
faba-298	357	18	.	.	PUNCT
faba-298	358	1	79	79	NUM
faba-298	358	2	-	-	SYM
faba-298	358	3	87	87	NUM
faba-298	358	4	)	)	PUNCT
faba-298	358	5	.	.	PUNCT
faba-298	359	1	atlantis	atlantis	PROPN
faba-298	359	2	press	press	PROPN
faba-298	359	3	.	.	PUNCT
faba-298	360	1	https://doi.org/10.2991/aebmr.k.220307.013	https://doi.org/10.2991/aebmr.k.220307.013	PROPN
faba-298	360	2	shao	shao	PROPN
faba-298	360	3	,	,	PUNCT
faba-298	360	4	h.	h.	PROPN
faba-298	360	5	,	,	PUNCT
faba-298	360	6	and	and	CCONJ
faba-298	360	7	b.-h	b.-h	NOUN
faba-298	360	8	.	.	PUNCT
faba-298	361	1	soong	soong	PROPN
faba-298	361	2	.	.	PUNCT
faba-298	362	1	2016	2016	NUM
faba-298	362	2	.	.	PUNCT
faba-298	363	1	traffic	traffic	NOUN
faba-298	363	2	flow	flow	NOUN
faba-298	363	3	prediction	prediction	NOUN
faba-298	363	4	with	with	ADP
faba-298	363	5	long	long	ADJ
faba-298	363	6	short	short	ADJ
faba-298	363	7	-	-	PUNCT
faba-298	363	8	term	term	NOUN
faba-298	363	9	memory	memory	NOUN
faba-298	363	10	networks	network	NOUN
faba-298	363	11	.	.	PUNCT
faba-298	364	1	in	in	ADP
faba-298	364	2	tencon	tencon	NOUN
faba-298	364	3	2016	2016	NUM
faba-298	364	4	–	–	PUNCT
faba-298	364	5	ieee	ieee	NOUN
faba-298	364	6	region	region	NOUN
faba-298	364	7	10	10	NUM
faba-298	364	8	conference	conference	NOUN
faba-298	364	9	(	(	PUNCT
faba-298	364	10	pp	pp	ADJ
faba-298	364	11	.	.	PUNCT
faba-298	364	12	2986–2989	2986–2989	NUM
faba-298	364	13	)	)	PUNCT
faba-298	364	14	.	.	PUNCT
faba-298	365	1	https://doi.org/10.1109/tencon.2016.7848588	https://doi.org/10.1109/tencon.2016.7848588	PROPN
faba-298	365	2	shiller	shiller	PROPN
faba-298	365	3	,	,	PUNCT
faba-298	365	4	r.	r.	PROPN
faba-298	365	5	j.	j.	PROPN
faba-298	365	6	2003	2003	NUM
faba-298	365	7	.	.	PUNCT
faba-298	366	1	from	from	ADP
faba-298	366	2	efficient	efficient	ADJ
faba-298	366	3	markets	market	NOUN
faba-298	366	4	theory	theory	NOUN
faba-298	366	5	to	to	ADP
faba-298	366	6	behavioral	behavioral	ADJ
faba-298	366	7	finance	finance	NOUN
faba-298	366	8	.	.	PUNCT
faba-298	367	1	journal	journal	NOUN
faba-298	367	2	of	of	ADP
faba-298	367	3	economic	economic	ADJ
faba-298	367	4	perspectives	perspective	NOUN
faba-298	367	5	,	,	PUNCT
faba-298	367	6	17(1	17(1	NUM
faba-298	367	7	):	):	PUNCT
faba-298	367	8	83–104	83–104	PROPN
faba-298	367	9	.	.	PUNCT
faba-298	368	1	https://doi.org/10.1257/089533003321164967	https://doi.org/10.1257/089533003321164967	PROPN
faba-298	368	2	teece	teece	PROPN
faba-298	368	3	,	,	PUNCT
faba-298	368	4	d.	d.	PROPN
faba-298	368	5	j.	j.	PROPN
faba-298	368	6	,	,	PUNCT
faba-298	368	7	g.	g.	PROPN
faba-298	368	8	pisano	pisano	PROPN
faba-298	368	9	,	,	PUNCT
faba-298	368	10	and	and	CCONJ
faba-298	368	11	a.	a.	NOUN
faba-298	368	12	shuen	shuen	PROPN
faba-298	368	13	.	.	PUNCT
faba-298	369	1	1997	1997	NUM
faba-298	369	2	.	.	PUNCT
faba-298	370	1	dynamic	dynamic	ADJ
faba-298	370	2	capabilities	capability	NOUN
faba-298	370	3	and	and	CCONJ
faba-298	370	4	strategic	strategic	ADJ
faba-298	370	5	management	management	NOUN
faba-298	370	6	.	.	PUNCT
faba-298	371	1	strategic	strategic	ADJ
faba-298	371	2	management	management	NOUN
faba-298	371	3	journal	journal	NOUN
faba-298	371	4	,	,	PUNCT
faba-298	371	5	18(7	18(7	NUM
faba-298	371	6	):	):	PUNCT
faba-298	371	7	509–533	509–533	NUM
faba-298	371	8	.	.	PUNCT
faba-298	372	1	https://doi.org/10.1002/(sici)10970266(199708)18:7<509::aid-smj882>3.0.co;2-z	https://doi.org/10.1002/(sici)10970266(199708)18:7<509::aid-smj882>3.0.co;2-z	PROPN
faba-298	372	2	wang	wang	PROPN
faba-298	372	3	,	,	PUNCT
faba-298	372	4	y.	y.	PROPN
faba-298	372	5	,	,	PUNCT
faba-298	372	6	and	and	CCONJ
faba-298	372	7	x.	x.	PROPN
faba-298	372	8	li	li	PROPN
faba-298	372	9	.	.	PROPN
faba-298	372	10	2021	2021	NUM
faba-298	372	11	.	.	PUNCT
faba-298	373	1	forecasting	forecast	VERB
faba-298	373	2	stock	stock	NOUN
faba-298	373	3	price	price	NOUN
faba-298	373	4	trends	trend	NOUN
faba-298	373	5	with	with	ADP
faba-298	373	6	deep	deep	ADJ
faba-298	373	7	learning	learning	NOUN
faba-298	373	8	.	.	PUNCT
faba-298	374	1	applied	apply	VERB
faba-298	374	2	soft	soft	ADJ
faba-298	374	3	computing	computing	NOUN
faba-298	374	4	,	,	PUNCT
faba-298	374	5	108	108	NUM
faba-298	374	6	:	:	SYM
faba-298	374	7	107443	107443	NUM
faba-298	374	8	.	.	PUNCT
faba-298	375	1	https://doi.org/10.1016/j.asoc.2021.107443	https://doi.org/10.1016/j.asoc.2021.107443	PROPN
faba-298	375	2	wang	wang	PROPN
faba-298	375	3	,	,	PUNCT
faba-298	375	4	y.	y.	PROPN
faba-298	375	5	,	,	PUNCT
faba-298	375	6	y.	y.	PROPN
faba-298	375	7	wei	wei	PROPN
faba-298	375	8	,	,	PUNCT
faba-298	375	9	c.	c.	PROPN
faba-298	375	10	wu	wu	PROPN
faba-298	375	11	,	,	PUNCT
faba-298	375	12	and	and	CCONJ
faba-298	375	13	l.	l.	PROPN
faba-298	375	14	yin	yin	PROPN
faba-298	375	15	.	.	PUNCT
faba-298	376	1	2018	2018	NUM
faba-298	376	2	.	.	PUNCT
faba-298	377	1	oil	oil	NOUN
faba-298	377	2	and	and	CCONJ
faba-298	377	3	the	the	DET
faba-298	377	4	short	short	ADJ
faba-298	377	5	-	-	PUNCT
faba-298	377	6	term	term	NOUN
faba-298	377	7	predictability	predictability	NOUN
faba-298	377	8	of	of	ADP
faba-298	377	9	stock	stock	NOUN
faba-298	377	10	return	return	NOUN
faba-298	377	11	volatility	volatility	NOUN
faba-298	377	12	.	.	PUNCT
faba-298	378	1	journal	journal	NOUN
faba-298	378	2	of	of	ADP
faba-298	378	3	empirical	empirical	ADJ
faba-298	378	4	finance	finance	NOUN
faba-298	378	5	,	,	PUNCT
faba-298	378	6	47	47	NUM
faba-298	378	7	:	:	PUNCT
faba-298	378	8	90–104	90–104	PROPN
faba-298	378	9	.	.	PUNCT
faba-298	379	1	https://doi.org/10.1016/j.jempfin.2018.04.008	https://doi.org/10.1016/j.jempfin.2018.04.008	PROPN
faba-298	379	2	zaremba	zaremba	NOUN
faba-298	379	3	,	,	PUNCT
faba-298	379	4	a.	a.	PROPN
faba-298	379	5	,	,	PUNCT
faba-298	379	6	r.	r.	PROPN
faba-298	379	7	kizys	kizys	PROPN
faba-298	379	8	,	,	PUNCT
faba-298	379	9	and	and	CCONJ
faba-298	379	10	d.	d.	PROPN
faba-298	379	11	aharon	aharon	PROPN
faba-298	379	12	.	.	PUNCT
faba-298	380	1	2020	2020	NUM
faba-298	380	2	.	.	PUNCT
faba-298	381	1	covid-19	covid-19	PROPN
faba-298	381	2	and	and	CCONJ
faba-298	381	3	global	global	ADJ
faba-298	381	4	financial	financial	ADJ
faba-298	381	5	markets	market	NOUN
faba-298	381	6	.	.	PUNCT
faba-298	382	1	finance	finance	NOUN
faba-298	382	2	research	research	NOUN
faba-298	382	3	letters	letter	NOUN
faba-298	382	4	,	,	PUNCT
faba-298	382	5	35	35	NUM
faba-298	382	6	:	:	SYM
faba-298	382	7	101508	101508	NUM
faba-298	382	8	.	.	PUNCT
faba-298	383	1	https://doi.org/10.1016/j.frl.2020.101508	https://doi.org/10.1016/j.frl.2020.101508	PUNCT
faba-298	383	2	zeng	zeng	PROPN
faba-298	383	3	,	,	PUNCT
faba-298	383	4	y.	y.	PROPN
faba-298	383	5	,	,	PUNCT
faba-298	383	6	and	and	CCONJ
faba-298	383	7	x.	x.	PROPN
faba-298	383	8	liu	liu	PROPN
faba-298	383	9	.	.	PROPN
faba-298	384	1	2018	2018	NUM
faba-298	384	2	.	.	PUNCT
faba-298	385	1	a	a	DET
faba-298	385	2	-	-	PUNCT
faba-298	385	3	stock	stock	NOUN
faba-298	385	4	price	price	NOUN
faba-298	385	5	fluctuation	fluctuation	NOUN
faba-298	385	6	forecast	forecast	NOUN
faba-298	385	7	model	model	NOUN
faba-298	385	8	based	base	VERB
faba-298	385	9	on	on	ADP
faba-298	385	10	lstm	lstm	PROPN
faba-298	385	11	.	.	PUNCT
faba-298	386	1	in	in	ADP
faba-298	386	2	proceedings	proceeding	NOUN
faba-298	386	3	of	of	ADP
faba-298	386	4	the	the	DET
faba-298	386	5	14th	14th	ADJ
faba-298	386	6	international	international	ADJ
faba-298	386	7	conference	conference	NOUN
faba-298	386	8	on	on	ADP
faba-298	386	9	semantics	semantic	NOUN
faba-298	386	10	,	,	PUNCT
faba-298	386	11	knowledge	knowledge	NOUN
faba-298	386	12	and	and	CCONJ
faba-298	386	13	grids	grid	NOUN
faba-298	386	14	(	(	PUNCT
faba-298	386	15	skg	skg	PROPN
faba-298	386	16	)	)	PUNCT
faba-298	386	17	(	(	PUNCT
faba-298	386	18	pp	pp	ADV
faba-298	386	19	.	.	PUNCT
faba-298	387	1	261–264	261–264	NUM
faba-298	387	2	)	)	PUNCT
faba-298	387	3	.	.	PUNCT
faba-298	388	1	https://doi.org/10.1109/skg.2018.00043	https://doi.org/10.1109/skg.2018.00043	PROPN
faba-298	388	2	zhang	zhang	PROPN
faba-298	388	3	,	,	PUNCT
faba-298	388	4	g.	g.	PROPN
faba-298	388	5	,	,	PUNCT
faba-298	388	6	b.	b.	PROPN
faba-298	388	7	e.	e.	PROPN
faba-298	388	8	patuwo	patuwo	PROPN
faba-298	388	9	,	,	PUNCT
faba-298	388	10	and	and	CCONJ
faba-298	388	11	m.	m.	PROPN
faba-298	388	12	y.	y.	PROPN
faba-298	388	13	hu	hu	PROPN
faba-298	388	14	.	.	PROPN
faba-298	388	15	2020	2020	NUM
faba-298	388	16	.	.	PUNCT
faba-298	389	1	forecasting	forecast	VERB
faba-298	389	2	with	with	ADP
faba-298	389	3	artificial	artificial	ADJ
faba-298	389	4	neural	neural	ADJ
faba-298	389	5	networks	network	NOUN
faba-298	389	6	.	.	PUNCT
faba-298	390	1	international	international	ADJ
faba-298	390	2	journal	journal	PROPN
faba-298	390	3	of	of	ADP
faba-298	390	4	forecasting	forecasting	NOUN
faba-298	390	5	,	,	PUNCT
faba-298	390	6	36(1	36(1	NUM
faba-298	390	7	):	):	PUNCT
faba-298	390	8	1–26	1–26	NOUN
faba-298	390	9	.	.	PUNCT
faba-298	391	1	https://doi.org/10.1016/j.ijforecast.2019.07.001	https://doi.org/10.1016/j.ijforecast.2019.07.001	NOUN
faba-298	391	2	zhang	zhang	PROPN
faba-298	391	3	,	,	PUNCT
faba-298	391	4	y.	y.	PROPN
faba-298	391	5	,	,	PUNCT
faba-298	391	6	and	and	CCONJ
faba-298	391	7	x.	x.	NOUN
faba-298	391	8	zhang	zhang	PROPN
faba-298	391	9	.	.	PROPN
faba-298	391	10	2021	2021	NUM
faba-298	391	11	.	.	PUNCT
faba-298	392	1	the	the	DET
faba-298	392	2	role	role	NOUN
faba-298	392	3	of	of	ADP
faba-298	392	4	product	product	NOUN
faba-298	392	5	innovation	innovation	NOUN
faba-298	392	6	in	in	ADP
faba-298	392	7	stock	stock	NOUN
faba-298	392	8	market	market	NOUN
faba-298	392	9	performance	performance	NOUN
faba-298	392	10	.	.	PUNCT
faba-298	393	1	technovation	technovation	NOUN
faba-298	393	2	,	,	PUNCT
faba-298	393	3	106	106	NUM
faba-298	393	4	:	:	SYM
faba-298	393	5	102292	102292	NUM
faba-298	393	6	.	.	PUNCT
faba-298	394	1	https://doi.org/10.1016/j.technovation.2021.102292	https://doi.org/10.1016/j.technovation.2021.102292	PROPN
faba-298	394	2	zou	zou	PROPN
faba-298	394	3	,	,	PUNCT
faba-298	394	4	j.	j.	PROPN
faba-298	394	5	,	,	PUNCT
faba-298	394	6	h.	h.	PROPN
faba-298	394	7	cao	cao	PROPN
faba-298	394	8	,	,	PUNCT
faba-298	394	9	l.	l.	PROPN
faba-298	394	10	liu	liu	PROPN
faba-298	394	11	,	,	PUNCT
faba-298	394	12	y.	y.	PROPN
faba-298	394	13	lin	lin	PROPN
faba-298	394	14	,	,	PUNCT
faba-298	394	15	e.	e.	PROPN
faba-298	394	16	abbasnejad	abbasnejad	PROPN
faba-298	394	17	,	,	PUNCT
faba-298	394	18	and	and	CCONJ
faba-298	394	19	j.	j.	PROPN
faba-298	394	20	shi	shi	PROPN
faba-298	394	21	.	.	PROPN
faba-298	394	22	2022	2022	NUM
faba-298	394	23	.	.	PUNCT
faba-298	395	1	astock	astock	NOUN
faba-298	395	2	:	:	PUNCT
faba-298	395	3	a	a	DET
faba-298	395	4	new	new	ADJ
faba-298	395	5	dataset	dataset	NOUN
faba-298	395	6	and	and	CCONJ
faba-298	395	7	automated	automate	VERB
faba-298	395	8	stock	stock	NOUN
faba-298	395	9	trading	trading	NOUN
faba-298	395	10	model	model	NOUN
faba-298	395	11	.	.	PUNCT
faba-298	396	1	arxiv	arxiv	PROPN
faba-298	396	2	preprint	preprint	PROPN
faba-298	396	3	arxiv:2206.06606	arxiv:2206.06606	ADJ
faba-298	396	4	.	.	PUNCT
faba-298	397	1	https://doi.org/10.48550/arxiv.2206.06606	https://doi.org/10.48550/arxiv.2206.06606	PROPN
faba-298	397	2	https://doi.org/10.1016/j.eswa.2021.115532	https://doi.org/10.1016/j.eswa.2021.115532	VERB
faba-298	397	3	https://doi.org/10.3905/jpm.2004.412486	https://doi.org/10.3905/jpm.2004.412486	NOUN
faba-298	397	4	https://doi.org/10.1016/j.jbusres.2022.06.019	https://doi.org/10.1016/j.jbusres.2022.06.019	PROPN
faba-298	397	5	https://doi.org/10.1371/journal.pone.0194889	https://doi.org/10.1371/journal.pone.0194889	PROPN
faba-298	397	6	https://doi.org/10.1016/0304-3932(82)90012-5	https://doi.org/10.1016/0304-3932(82)90012-5	PROPN
faba-298	398	1	https://doi.org/10.1109/ijcnn.2017.7966019	https://doi.org/10.1109/ijcnn.2017.7966019	PROPN
faba-298	398	2	https://doi.org/10.1177/21582440231211971	https://doi.org/10.1177/21582440231211971	X
faba-298	398	3	https://doi.org/10.1002/csr.2739	https://doi.org/10.1002/csr.2739	PROPN
faba-298	398	4	https://doi.org/10.2991/aebmr.k.220307.013	https://doi.org/10.2991/aebmr.k.220307.013	PROPN
faba-298	399	1	https://doi.org/10.1109/tencon.2016.7848588	https://doi.org/10.1109/tencon.2016.7848588	PROPN
faba-298	399	2	https://doi.org/10.1257/089533003321164967	https://doi.org/10.1257/089533003321164967	PROPN
faba-298	399	3	https://doi.org/10.1002/(sici)1097-0266(199708)18:7%3c509::aid-smj882%3e3.0.co;2-z	https://doi.org/10.1002/(sici)1097-0266(199708)18:7%3c509::aid-smj882%3e3.0.co;2-z	VERB
faba-298	399	4	https://doi.org/10.1002/(sici)1097-0266(199708)18:7%3c509::aid-smj882%3e3.0.co;2-z	https://doi.org/10.1002/(sici)1097-0266(199708)18:7%3c509::aid-smj882%3e3.0.co;2-z	VERB
faba-298	399	5	https://doi.org/10.1016/j.asoc.2021.107443	https://doi.org/10.1016/j.asoc.2021.107443	PROPN
faba-298	399	6	https://doi.org/10.1016/j.jempfin.2018.04.008	https://doi.org/10.1016/j.jempfin.2018.04.008	AUX
faba-298	399	7	https://doi.org/10.1016/j.frl.2020.101508	https://doi.org/10.1016/j.frl.2020.101508	NUM
faba-298	399	8	https://doi.org/10.1109/skg.2018.00043	https://doi.org/10.1109/skg.2018.00043	NOUN
faba-298	399	9	https://doi.org/10.1016/j.ijforecast.2019.07.001	https://doi.org/10.1016/j.ijforecast.2019.07.001	NOUN
faba-298	399	10	https://doi.org/10.1016/j.technovation.2021.102292	https://doi.org/10.1016/j.technovation.2021.102292	NOUN
faba-298	399	11	https://doi.org/10.48550/arxiv.2206.06606	https://doi.org/10.48550/arxiv.2206.06606	PUNCT