id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ijfb-997	Riyazahmed, K.	NEURAL NETWORKS IN FINANCE: A DESCRIPTIVE SYSTEMATIC REVIEW	2021	27	.pdf	application/pdf	8523	473	46	Predictabi lity of emerging and developed stock markets using NN Standard NN 49 MSCI (Morgan Stanley Capital Internatio nal) indexes March 1995 to March of 2001 (1560 daily observati ons) index returns, daily and weekly NN is not superior to the linear models - - 1 8 LV D et al. (2020) Dimensio nality reduction in stock trading MLP, Deep Belief Network (DBN), Miscellan eous Industrials in the Australian Stock Market 2007 D/E, Gross margin, Debt to cash, EVA, EPS, WACC funds, ROIC ANN is effective in the prediction 0.0548 MAE = 37.649 2 7 Wie et al. (2004) NN model for EPS forecastin g Univariate- NN and multivariate NN Quarterly EPS of 283 companie s in SEC 1992 – 2002 Inventory, A/R, capital expenditure , gross margin, Sel.	cache/ijfb-997.pdf	txt/ijfb-997.txt