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J. Math. Comput. Sci. 14 (2024), Article ID 9

Brent oil prices forecasting using machine learning

Soumaya Bidah, Khadija Akdim, Mehdi Zahid

Abstract

Machine Learning is one of the powrful tools which is used nowadays in prediction tasks. In this article, we will use machine learning models to predict Brent oil price, and compare their performance. Which would help investors to make the appropriate investments? decisions, especially under crisis circumstances. Several models were tested to confirm the appropriate one, starting from the very standard models, multiple linear regression, and finally try the recent developped ones, namely gradient boosting. We used as well a neural network model, Long short-term memory (LSTM) given that it approved their performance for financial series.

Published
2 September 2024
Volume
14 (2024)
License
CC BY 3.0

Copyright © 2024 Soumaya Bidah, Khadija Akdim, Mehdi Zahid. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

S. Bidah, K. Akdim, M. Zahid, Brent oil prices forecasting using machine learning, J. Math. Comput. Sci. 14 (2024), 9. https://doi.org/10.28919/jmcs/8702

BibTeX
@article{Bidah2024,
  author  = {Bidah, Soumaya and Akdim, Khadija and Zahid, Mehdi},
  title   = {Brent oil prices forecasting using machine learning},
  journal = {J. Math. Comput. Sci.},
  volume  = {14},
  year    = {2024},
  pages   = {9},
  doi     = {10.28919/jmcs/8702}
}