Forecasting Financial Time Series through Causal and Dilated Convolutional Neural Networks

In this paper, predictions of future price movements of a major American stock index were made by analyzing past movements of the same and other correlated indices. A model that has shown very good results in audio and speech generation was modified to suit the analysis of financial data and was the...

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Bibliographic Details
Main Authors: Lukas Börjesson, Martin Singull
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/10/1094