A Comparison of Recurrent Neural Networks Models and Econometric Models for Stock Market Predictions
It is well known that the stock market is highly volatile, so stock price prediction is a very challenging task. However, in order to make a profit or to understand the equity market, many investors and researchers use various statistical, econometric, and neural network models to make the best stoc...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för fysik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-174921 |