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

M. Belén Arouxet, Aurelio Fernandez Bariviera, Verónica E. Pastor and Victoria Vampa

Physica A: Statistical Mechanics and its Applications, 2022, vol. 596, issue C

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.

Keywords: Cryptocurrencies; Hurst exponent; Wavelet transform; Covid-19 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Working Paper: Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:596:y:2022:i:c:s0378437122001765

DOI: 10.1016/j.physa.2022.127170

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