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COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling
This paper analyzes the role of COVID-19 pandemic crisis in determining and forecasting conditional volatility returns for a set of eight cryptocurrencies through an asymmetric GARCH modeling approach. The findings report that the COVID-19 pandemic exerts a positive effect on the conditional volatil...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723988/ https://www.ncbi.nlm.nih.gov/pubmed/35002550 http://dx.doi.org/10.1016/j.frl.2021.102659 |
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author | Apergis, Nicholas |
author_facet | Apergis, Nicholas |
author_sort | Apergis, Nicholas |
collection | PubMed |
description | This paper analyzes the role of COVID-19 pandemic crisis in determining and forecasting conditional volatility returns for a set of eight cryptocurrencies through an asymmetric GARCH modeling approach. The findings report that the COVID-19 pandemic exerts a positive effect on the conditional volatility of those returns, while explicitly considering the pandemic event improves volatility predictions. |
format | Online Article Text |
id | pubmed-8723988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87239882022-01-04 COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling Apergis, Nicholas Financ Res Lett Article This paper analyzes the role of COVID-19 pandemic crisis in determining and forecasting conditional volatility returns for a set of eight cryptocurrencies through an asymmetric GARCH modeling approach. The findings report that the COVID-19 pandemic exerts a positive effect on the conditional volatility of those returns, while explicitly considering the pandemic event improves volatility predictions. Elsevier Inc. 2022-06 2021-12-30 /pmc/articles/PMC8723988/ /pubmed/35002550 http://dx.doi.org/10.1016/j.frl.2021.102659 Text en © 2021 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 Apergis, Nicholas COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling |
title | COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling |
title_full | COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling |
title_fullStr | COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling |
title_full_unstemmed | COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling |
title_short | COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling |
title_sort | covid-19 and cryptocurrency volatility: evidence from asymmetric modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723988/ https://www.ncbi.nlm.nih.gov/pubmed/35002550 http://dx.doi.org/10.1016/j.frl.2021.102659 |
work_keys_str_mv | AT apergisnicholas covid19andcryptocurrencyvolatilityevidencefromasymmetricmodelling |