The Resilience of Cryptocurrency Market Efficiency to Covid-19 Shock
12 Pages Posted: 3 May 2022
Abstract
We examine the price disorder and market efficiency of five cryptocurrencies (Bitcoin, BNB, Cardano, Ethereum, and XRP) before and during COVID-19 pandemic period. Using permutation entropy and Fisher information measure (FIM), we construct the Shannon-Fisher causality plane (SFCP) to map these cryptocurrencies and their respective locations in a two-dimensional plane and then apply sliding time window approach to study the temporal evolution of efficiency. All cryptocurrencies exhibit high but slightly varying informational efficiency during both periods. Cardano is the most efficient. These results might point to the increasing maturity and lower potential for price predictability, which matter to cryptocurrencies usage for liquidity risk diversification strategy.
Keywords: Cryptocurrencies, Price time series, COVID-19, Information theory quantifiers, Economic efficiency
Suggested Citation: Suggested Citation