Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices

Title
Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices
Authors
Keywords
Financial time series forecasting, Deep feedforward neural network, Market efficiency, Machine learning
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 112828
Publisher
Elsevier BV
Online
2019-07-23
DOI
10.1016/j.eswa.2019.112828

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