The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets
Larisa Yarovaya,
Roman Matkovskyy and
Akanksha Jalan
Journal of International Financial Markets, Institutions and Money, 2021, vol. 75, issue C
Abstract:
This paper analyses herding in cryptocurrency markets in the time of the COVID-19 pandemic. We employ a combination of quantitative methods to hourly prices of the four most traded cryptocurrency markets - USD, EUR, JPY and KRW - for the period from 1st January 2019 to 13th March 2020. While there are several strong theoretical reasons to observe the “black swan” effect on cryptocurrency herding, our results suggest that COVID-19 does not amplify herding in cryptocurrency markets. In all markets studied, herding remains contingent on up or down markets days, but does not get stronger during the COVID-19. These results are important for cryptocurrency investors and regulators to enhance their understanding of cryptocurrency markets and the financial effects of the COVID-19 pandemic.
Keywords: COVID-19; Black swan effect; Herding; Cryptocurrencies; Bitcoin (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042443121000408
Full text for ScienceDirect subscribers only
Related works:
Working Paper: The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:75:y:2021:i:c:s1042443121000408
DOI: 10.1016/j.intfin.2021.101321
Access Statistics for this article
Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely
More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().