Asymmetric efficiency of cryptocurrencies during COVID19

Muhammad Abubakr Naeem, Elie Bouri, Zhe Peng, Syed Jawad Hussain Shahzad, Xuan Vinh Vo

Research output: Contribution to journalArticlepeer-review

108 Citations (Scopus)

Abstract

In this study, we examine the asymmetric efficiency of cryptocurrencies using 1-hour data of Bitcoin, Ethereum, Litecoin, and Ripple. In doing so, we utilize the asymmetric multifractal detrended fluctuation analysis (MF-DFA). We find significant asymmetric multifractality in the price of cryptocurrencies and that upward trends exhibit stronger multifractality than downward trends. Using the time-varying deficiency measure, we show that the COVID-19 outbreak adversely affected the efficiency of the four cryptocurrencies, given a substantial increase in the levels of inefficiency during the COVID-19 period. Bitcoin and Ethereum are the hardest hit, and at the same time, these two largest cryptocurrencies recovered faster at the end of March 2020 from their sharp dip towards inefficiency. The findings confirm previous evidence that market efficiency is time varying; also, unprecedented catastrophic events, such as the COVID-19 outbreak, have adverse effects of on the efficiency of leading cryptocurrencies.

Original languageEnglish
Article number125562
JournalPhysica A: Statistical Mechanics and its Applications
Volume565
DOIs
Publication statusPublished - Mar 1 2021
Externally publishedYes

Keywords

  • Asymmetry
  • COVID-19
  • Cryptocurrencies
  • Efficiency
  • MF-DFA

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability

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