Covid-19 impact on cryptocurrencies: Evidence from a wavelet-based Hurst exponent

【Author】 Belen Arouxet, M.; Bariviera, Aurelio F.; Pastor, Veronica E.; Vampa, Victoria

【Source】PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

【影响因子】3.778

【Abstract】Cryptocurrency history begins in 2008 as a means of payment proposal. However, cryptocurrencies evolved into a complex ecosystem of high yield speculative assets. Contrary to traditional financial instruments, they are not (mostly) traded in organized, law-abiding venues, but on online platforms, where anonymity reigns. This paper examines the long term memory in return and volatility, using high frequency time series of seven important coins. Our study covers the pre-Covid-19 and the subsequent pandemic period. We use a recently developed method, based on the wavelet transform, which provides more robust estimators of the Hurst exponent. We detect that, during the peak of Covid-19 pandemic (around March 2020), the long memory of returns was only mildly affected. However, volatility suffered a temporary impact in its long range correlation structure. Our results could be of interest for both academics and practitioners.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

【Keywords】Cryptocurrencies; Hurst exponent; Wavelet transform; Covid-19

【发表时间】2022 JUN 15

【收录时间】2022-05-23

【文献类型】实证性文章

【主题类别】

区块链治理-市场治理-数字货币