The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning
- DOI
- 10.1016/j.jenvman.2021.113511
- Published
- 2021-11
- Container
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2021.113511,
title = {The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning},
author = {Sami Ben Jabeur and Rabeh Khalfaoui and Wissal Ben Arfi},
year = {2021},
journal = {Journal of Environmental Management},
doi = {10.1016/j.jenvman.2021.113511},
url = {https://doi.org/10.1016/j.jenvman.2021.113511}
}RIS
TY - JOUR TI - The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning AU - Sami Ben Jabeur AU - Rabeh Khalfaoui AU - Wissal Ben Arfi PY - 2021 JO - Journal of Environmental Management DO - 10.1016/j.jenvman.2021.113511 UR - https://doi.org/10.1016/j.jenvman.2021.113511 ER -
APA
Jabeur, S. B., Khalfaoui, R., & Arfi, W. B. (2021). The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2021.113511
Source records
- crossref · retrieved 2026-09-27T09:53:08.313Z