Short-term effect of COVID-19 pandemic on cryptocurrency markets: A DCC-GARCH model analysis

Autor: Kais Ben-Ahmed, Saliha Theiri, Naziha Kasraoui
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Heliyon, Vol 9, Iss 8, Pp e18847- (2023)
Druh dokumentu: article
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2023.e18847
Popis: This research examines the impact of the coronavirus index on the returns and volatility of ten major cryptocurrencies during the COVID-19 pandemic. For this purpose, we applied a multivariate volatility GARCH model with an integrated dynamic conditional correlation (DCC) approach to daily cryptocurrency values observed data during the January-December, 2020 period. Moreover, we used the Granger causality test to study return-volume correlations. The findings indicate that cryptocurrency volatility declined after the World Health Organization declared on March 11, 2020, that the coronavirus was a pandemic. Unlike most of the relevant previous studies, we found that the COVID-19 crisis did not have a long-term effect on cryptocurrency returns and volatility but only presented a short-term effect. Our results have implications for investors who need to determine an optimal portfolio for a scenario other than the base.
Databáze: Directory of Open Access Journals