Modelling Stock Prices of Energy Sector using Supervised Machine Learning Techniques
This paper aims at comparing the performance of the different state-of-the-art machine learning techniques in anticipating the performance of stock prices of the energy sector. The data collected cover the period from January 2020 to February 2023 with a daily frequency for the three most imported...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EconJournals
2024-03-01
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| Series: | International Journal of Energy Economics and Policy |
| Subjects: | |
| Online Access: | https://www.econjournals.com/index.php/ijeep/article/view/15553 |