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

Ben Jabeur, Sami; Khalfaoui, Rabeh; Ben Arfi, Wissal

Ben Jabeur, Sami; Khalfaoui, Rabeh; Ben Arfi, Wissal.

Afiliação

Ben Jabeur S; Institute of Sustainable Business and Organizations, Confluence: Sciences et Humanités, UCLY, ESDES, 10 Place des Archives, Lyon, 69002, France. Electronic address: sbenjabeur@gmail.com.
Khalfaoui R; Applied Economics Research Unit (URECA), Faculty of Economics and Management, University of Sfax, Tunisia. Electronic address: rabeh.khalfaoui@gmail.com.
Ben Arfi W; EDC Paris Business School, Observatory and Research Center on Entrepreneurship (OCRE), Department of Entrepreneurship and Digital Transformation, 70 galerie des Damiers - Paris La Défense 1, 92415 Courbevoie Cedex, France. Electronic address: wbenarfi@edcparis.edu.

J Environ Manage ; 298: 113511, 2021 Nov 15.

Article em En | MEDLINE | ID: mdl-34392096

Assuntos

COVID-19; Pandemias; Acidentes de Trânsito; Humanos; Aprendizado de Máquina; SARS-CoV-2

Palavras-chave

COVID-19; Crash; Crude oil; Machine learning models

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Environ Manage Ano de publicação: 2021 Tipo de documento: Article

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