id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
aiti-14192	Nuttaphat Sukchitt; Manad Khamkong; Lampang Saechan; Napon Hongsakulvasu	Optimizing Lags and Hidden Layers in Hybrid Models for Forecasting Stock Return	2025	17	.pdf	application/pdf	7521	328	52	1 ln −   =     t t t p R p (1) where �� is the return of the index, �� is the data for today, ���� is the data for yesterday. Given that the linear term is obtained from the following formula, the residual series �� from the ARIMAX model is expressed as follows: ˆ= −t t tN y L (5) where ��� denotes the forecasting value for time t of the time series �� by ARIMAX, �� represents the non-linear term of the model.	cache/aiti-14192.pdf	txt/aiti-14192.txt