The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning

This study aims to predict oil prices during the 2019 novel coronavirus (COVID-19) pandemic by looking into green energy resources, global environmental indexes (ESG), and stock markets. The study employs advanced machine learning, such as the LightGBM, CatBoost, XGBoost, Random Forest (RF), and neu...

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Detalles Bibliográficos
Autores principales: Ben Jabeur, Sami, Khalfaoui, Rabeh, Ben Arfi, Wissal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437676/
https://www.ncbi.nlm.nih.gov/pubmed/34392096
http://dx.doi.org/10.1016/j.jenvman.2021.113511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437676/
https://www.ncbi.nlm.nih.gov/pubmed/34392096
http://dx.doi.org/10.1016/j.jenvman.2021.113511

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