Predicting the Price of Crude Oil and its Fluctuations Using Computational Econometrics: Deep Learning, LSTM, and Convolutional Neural Networks
There has been a renewed interest in accurately forecasting the price of crude oil and its fluctuations. That said, this paper aims to study whether the price of crude oil in the United States (US) could be predicted using the stock prices of the top information technology companies. To this end, t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SGH Warsaw School of Economics, Collegium of Economic Analysis
2021-09-01
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| Series: | Econometric Research in Finance |
| Subjects: | |
| Online Access: | https://www.erfin.org/journal/index.php/erfin/article/view/127 |