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COVID-19 and the quantile connectedness between energy and metal markets

This study analyzes the relationship between clean and dirty energy sources and energy metals during the COVID-19 pandemic. We document a sharp increase in connectedness after the COVID-19 pandemic, that is asymmetric at the lower and upper quantiles, with stronger dependence among the variables at...

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Autores principales: Ghosh, Bikramaditya, Pham, Linh, Teplova, Tamara, Umar, Zaghum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699710/
https://www.ncbi.nlm.nih.gov/pubmed/36467867
http://dx.doi.org/10.1016/j.eneco.2022.106420
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author Ghosh, Bikramaditya
Pham, Linh
Teplova, Tamara
Umar, Zaghum
author_facet Ghosh, Bikramaditya
Pham, Linh
Teplova, Tamara
Umar, Zaghum
author_sort Ghosh, Bikramaditya
collection PubMed
description This study analyzes the relationship between clean and dirty energy sources and energy metals during the COVID-19 pandemic. We document a sharp increase in connectedness after the COVID-19 pandemic, that is asymmetric at the lower and upper quantiles, with stronger dependence among the variables at the upper quantiles. Among the energy metals, cobalt is the least connected to the energy markets. Finally, our empirical results show a switch in the net connectedness indexes of energy metals and clean energy after January 2021. Our results have implication for investors and policy makers for energy and metal under various market conditions.
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spelling pubmed-96997102022-11-28 COVID-19 and the quantile connectedness between energy and metal markets Ghosh, Bikramaditya Pham, Linh Teplova, Tamara Umar, Zaghum Energy Econ Article This study analyzes the relationship between clean and dirty energy sources and energy metals during the COVID-19 pandemic. We document a sharp increase in connectedness after the COVID-19 pandemic, that is asymmetric at the lower and upper quantiles, with stronger dependence among the variables at the upper quantiles. Among the energy metals, cobalt is the least connected to the energy markets. Finally, our empirical results show a switch in the net connectedness indexes of energy metals and clean energy after January 2021. Our results have implication for investors and policy makers for energy and metal under various market conditions. Elsevier B.V. 2023-01 2022-11-26 /pmc/articles/PMC9699710/ /pubmed/36467867 http://dx.doi.org/10.1016/j.eneco.2022.106420 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ghosh, Bikramaditya
Pham, Linh
Teplova, Tamara
Umar, Zaghum
COVID-19 and the quantile connectedness between energy and metal markets
title COVID-19 and the quantile connectedness between energy and metal markets
title_full COVID-19 and the quantile connectedness between energy and metal markets
title_fullStr COVID-19 and the quantile connectedness between energy and metal markets
title_full_unstemmed COVID-19 and the quantile connectedness between energy and metal markets
title_short COVID-19 and the quantile connectedness between energy and metal markets
title_sort covid-19 and the quantile connectedness between energy and metal markets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699710/
https://www.ncbi.nlm.nih.gov/pubmed/36467867
http://dx.doi.org/10.1016/j.eneco.2022.106420
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