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Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis

We use the Conditional Value-at-Risk (CoVaR) model to develop the systemic contagion index (SCI) for cryptocurrencies and examine their spillover effects. The SCI exhibits the highest value during the COVID–19 period, indicating evidence of pandemic-driven contagion channels. Similarly, cryptocurren...

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Detalles Bibliográficos
Autores principales: Akhtaruzzaman, Md, Boubaker, Sabri, Nguyen, Duc Khuong, Rahman, Molla Ramizur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912991/
https://www.ncbi.nlm.nih.gov/pubmed/35291226
http://dx.doi.org/10.1016/j.frl.2022.102787
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author Akhtaruzzaman, Md
Boubaker, Sabri
Nguyen, Duc Khuong
Rahman, Molla Ramizur
author_facet Akhtaruzzaman, Md
Boubaker, Sabri
Nguyen, Duc Khuong
Rahman, Molla Ramizur
author_sort Akhtaruzzaman, Md
collection PubMed
description We use the Conditional Value-at-Risk (CoVaR) model to develop the systemic contagion index (SCI) for cryptocurrencies and examine their spillover effects. The SCI exhibits the highest value during the COVID–19 period, indicating evidence of pandemic-driven contagion channels. Similarly, cryptocurrency systemic networks show that the COVID–19 period induced increased interconnections, highlighting a higher number of systemic contagion channels. Our study has practical implications for investors to identify the systemic vulnerability of each cryptocurrency and make informed decisions during the crisis and non-crisis periods.
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spelling pubmed-89129912022-03-11 Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis Akhtaruzzaman, Md Boubaker, Sabri Nguyen, Duc Khuong Rahman, Molla Ramizur Financ Res Lett Article We use the Conditional Value-at-Risk (CoVaR) model to develop the systemic contagion index (SCI) for cryptocurrencies and examine their spillover effects. The SCI exhibits the highest value during the COVID–19 period, indicating evidence of pandemic-driven contagion channels. Similarly, cryptocurrency systemic networks show that the COVID–19 period induced increased interconnections, highlighting a higher number of systemic contagion channels. Our study has practical implications for investors to identify the systemic vulnerability of each cryptocurrency and make informed decisions during the crisis and non-crisis periods. Elsevier Inc. 2022-06 2022-03-11 /pmc/articles/PMC8912991/ /pubmed/35291226 http://dx.doi.org/10.1016/j.frl.2022.102787 Text en © 2022 Elsevier Inc. 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
Akhtaruzzaman, Md
Boubaker, Sabri
Nguyen, Duc Khuong
Rahman, Molla Ramizur
Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis
title Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis
title_full Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis
title_fullStr Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis
title_full_unstemmed Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis
title_short Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis
title_sort systemic risk-sharing framework of cryptocurrencies in the covid–19 crisis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912991/
https://www.ncbi.nlm.nih.gov/pubmed/35291226
http://dx.doi.org/10.1016/j.frl.2022.102787
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