Using LSTM Neural Networks To Predict Daily Stock Returns

Long short-term memory (LSTM) neural networks have been proven to be effective for time series prediction, even in some instances where the data is non-stationary. This lead us to examine their predictive ability of stock market returns, as the development of stock prices and returns tend to be a no...

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Bibliographic Details
Main Author: Cavallie Mester, Jon William
Format: Others
Language:English
Published: Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) 2021
Subjects:
RNN
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-106124