Cargando…
The resilience of cryptocurrency market efficiency to COVID-19 shock
We examine the price disorder and informational efficiency of five cryptocurrencies (Bitcoin, BNB, Cardano, Ethereum, and XRP) before and during the COVID-19 pandemic. In this sense, we estimate the permutation entropy and Fisher information measure (FIM). We use these complexity measures to constru...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527181/ https://www.ncbi.nlm.nih.gov/pubmed/36211219 http://dx.doi.org/10.1016/j.physa.2022.128218 |
_version_ | 1784801028461297664 |
---|---|
author | Fernandes, Leonardo H.S. Bouri, Elie Silva, José W.L. Bejan, Lucian de Araujo, Fernando H.A. |
author_facet | Fernandes, Leonardo H.S. Bouri, Elie Silva, José W.L. Bejan, Lucian de Araujo, Fernando H.A. |
author_sort | Fernandes, Leonardo H.S. |
collection | PubMed |
description | We examine the price disorder and informational efficiency of five cryptocurrencies (Bitcoin, BNB, Cardano, Ethereum, and XRP) before and during the COVID-19 pandemic. In this sense, we estimate the permutation entropy and Fisher information measure (FIM). We use these complexity measures to construct the Shannon–Fisher causality plane (SFCP) to map these cryptocurrencies and their respective locations in a two-dimensional plane and then apply the sliding time window approach to study the temporal evolution of informational efficiency. All cryptocurrencies exhibit high but slightly varying informational efficiency during both periods. Cardano was the most efficient cryptocurrency. These results might point to the increasing maturity and lower potential for price predictability, which matter to cryptocurrencies’ usage for liquidity risk diversification strategy. |
format | Online Article Text |
id | pubmed-9527181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95271812022-10-03 The resilience of cryptocurrency market efficiency to COVID-19 shock Fernandes, Leonardo H.S. Bouri, Elie Silva, José W.L. Bejan, Lucian de Araujo, Fernando H.A. Physica A Article We examine the price disorder and informational efficiency of five cryptocurrencies (Bitcoin, BNB, Cardano, Ethereum, and XRP) before and during the COVID-19 pandemic. In this sense, we estimate the permutation entropy and Fisher information measure (FIM). We use these complexity measures to construct the Shannon–Fisher causality plane (SFCP) to map these cryptocurrencies and their respective locations in a two-dimensional plane and then apply the sliding time window approach to study the temporal evolution of informational efficiency. All cryptocurrencies exhibit high but slightly varying informational efficiency during both periods. Cardano was the most efficient cryptocurrency. These results might point to the increasing maturity and lower potential for price predictability, which matter to cryptocurrencies’ usage for liquidity risk diversification strategy. Elsevier B.V. 2022-12-01 2022-10-03 /pmc/articles/PMC9527181/ /pubmed/36211219 http://dx.doi.org/10.1016/j.physa.2022.128218 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Fernandes, Leonardo H.S. Bouri, Elie Silva, José W.L. Bejan, Lucian de Araujo, Fernando H.A. The resilience of cryptocurrency market efficiency to COVID-19 shock |
title | The resilience of cryptocurrency market efficiency to COVID-19 shock |
title_full | The resilience of cryptocurrency market efficiency to COVID-19 shock |
title_fullStr | The resilience of cryptocurrency market efficiency to COVID-19 shock |
title_full_unstemmed | The resilience of cryptocurrency market efficiency to COVID-19 shock |
title_short | The resilience of cryptocurrency market efficiency to COVID-19 shock |
title_sort | resilience of cryptocurrency market efficiency to covid-19 shock |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527181/ https://www.ncbi.nlm.nih.gov/pubmed/36211219 http://dx.doi.org/10.1016/j.physa.2022.128218 |
work_keys_str_mv | AT fernandesleonardohs theresilienceofcryptocurrencymarketefficiencytocovid19shock AT bourielie theresilienceofcryptocurrencymarketefficiencytocovid19shock AT silvajosewl theresilienceofcryptocurrencymarketefficiencytocovid19shock AT bejanlucian theresilienceofcryptocurrencymarketefficiencytocovid19shock AT dearaujofernandoha theresilienceofcryptocurrencymarketefficiencytocovid19shock AT fernandesleonardohs resilienceofcryptocurrencymarketefficiencytocovid19shock AT bourielie resilienceofcryptocurrencymarketefficiencytocovid19shock AT silvajosewl resilienceofcryptocurrencymarketefficiencytocovid19shock AT bejanlucian resilienceofcryptocurrencymarketefficiencytocovid19shock AT dearaujofernandoha resilienceofcryptocurrencymarketefficiencytocovid19shock |