Dynamic spillovers and portfolio implication between green cryptocurrencies and fossil fuels.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 22 02 2023
accepted: 24 06 2023
medline: 7 8 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: epublish

Résumé

Are green investments decoupled from the dirty investment such as the fossil fuel markets? We address this issue by extending the literature on environmental, social, and governance (ESG) assets by examining the dynamic relationship between fossil fuels and digital ESG assets proxied by green cryptocurrencies using the TVP-VAR(Time-varying parameter vector auto regression) spillover framework. Furthermore, we analyze the hedging attributes of green cryptocurrencies and fossil fuels in a minimum connectedness framework. The main findings are as follows: First, green cryptocurrencies are the main shock transmitters in all asset systems. Second, the dynamic connectedness between green cryptocurrencies and fossil fuels increased during the COVID-19 and Russia-Ukraine conflicts. Third, green cryptocurrencies have shown considerable hedging effectiveness against the fossil fuels. Our study has important implications for investors, regulators, and policy makers, such as shifting to green cryptocurrencies, regulation of carbon footprint, and promoting eco-friendly assets.

Identifiants

pubmed: 37535520
doi: 10.1371/journal.pone.0288377
pii: PONE-D-23-04622
pmc: PMC10399891
doi:

Substances chimiques

Fossil Fuels 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0288377

Informations de copyright

Copyright: © 2023 Umar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

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pubmed: 35669177
Environ Sci Pollut Res Int. 2022 May;29(21):31723-31733
pubmed: 35013947
Econ Model. 2020 Dec;93:112-124
pubmed: 32834335
Financ Innov. 2021;7(1):59
pubmed: 35024286
Financ Res Lett. 2022 Mar;45:102170
pubmed: 35221818
Financ Res Lett. 2021 Jan;38:101716
pubmed: 32837385
Res Int Bus Finance. 2021 Dec;58:101493
pubmed: 34518718
J Behav Exp Finance. 2020 Dec;28:100404
pubmed: 32983899

Auteurs

Zaghum Umar (Z)

College of Business, Zayed University, Abu Dhabi, United Arab Emirates.

Sun-Yong Choi (SY)

Department of Financial Mathematics, Gachon university, Seongnam, Republic of Korea.

Tamara Teplova (T)

Centre for Financial Research & Data Analytics, Faculty of Economic Sciences, HSE University, Moscow, Russia.

Tatiana Sokolova (T)

Centre for Financial Research & Data Analytics, Faculty of Economic Sciences, HSE University, Moscow, Russia.

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Classifications MeSH