Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements

Detalhes bibliográficos
Autor(a) principal: Éder Pereira
Data de Publicação: 2022
Outros Autores: Paulo Ferreira, Derick Quintino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/44211
Resumo: Non-fungible tokens (NFTs) are a type of digital record of ownership used in a unique way: ensuring authenticity and uniqueness. Due to these characteristics, NFTs have been used in several markets: games, arts, and sports, among others. In 2020, the volume of negotiations of the NFTs was about USD 200 million. Despite the strong interest of economic agents in operating with NFTs, there are still gaps in the literature, regarding their dynamics and price interrelation with other potentially related assets, which deserve to be studied. In this sense, the main purpose in this paper is to analyze the cross-correlation between NFTs and larger cryptocurrencies. To this end, our methodological approach is based on a Detrended Cross-Correlation Analysis correlation coefficient, with a sliding windows approach. Our main finding is that the cross-correlations are not significant, except for a few cryptocurrencies, with weak significance at some moments of time. We also carried out an analysis of the long-term memory of NFTs, which demonstrated the antipersistence of these assets, with results seemingly corroborating the market inefficiency hypothesis. Our results are particularly important for different classes of investors, due to the analysis on different time scales.
id RCAP_a60ee6c4bcf8c94ece540ce775ad4619
oai_identifier_str oai:comum.rcaap.pt:10400.26/44211
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and ComovementsNon-fungible tokensDetrended fluctuation analysisDetrended cross-correlation analysisEfficiencyNon-fungible tokens (NFTs) are a type of digital record of ownership used in a unique way: ensuring authenticity and uniqueness. Due to these characteristics, NFTs have been used in several markets: games, arts, and sports, among others. In 2020, the volume of negotiations of the NFTs was about USD 200 million. Despite the strong interest of economic agents in operating with NFTs, there are still gaps in the literature, regarding their dynamics and price interrelation with other potentially related assets, which deserve to be studied. In this sense, the main purpose in this paper is to analyze the cross-correlation between NFTs and larger cryptocurrencies. To this end, our methodological approach is based on a Detrended Cross-Correlation Analysis correlation coefficient, with a sliding windows approach. Our main finding is that the cross-correlations are not significant, except for a few cryptocurrencies, with weak significance at some moments of time. We also carried out an analysis of the long-term memory of NFTs, which demonstrated the antipersistence of these assets, with results seemingly corroborating the market inefficiency hypothesis. Our results are particularly important for different classes of investors, due to the analysis on different time scales.Repositório ComumÉder PereiraPaulo FerreiraDerick Quintino2023-03-17T14:27:25Z2022-102023-02-20T12:15:02Z2022-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/44211engcv-prod-313822310.3390/fintech1040023info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T11:32:19Zoai:comum.rcaap.pt:10400.26/44211Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:45:09.913899Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
title Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
spellingShingle Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
Éder Pereira
Non-fungible tokens
Detrended fluctuation analysis
Detrended cross-correlation analysis
Efficiency
title_short Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
title_full Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
title_fullStr Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
title_full_unstemmed Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
title_sort Non-Fungible Tokens (NFTs) and Cryptocurrencies: Efficiency and Comovements
author Éder Pereira
author_facet Éder Pereira
Paulo Ferreira
Derick Quintino
author_role author
author2 Paulo Ferreira
Derick Quintino
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Éder Pereira
Paulo Ferreira
Derick Quintino
dc.subject.por.fl_str_mv Non-fungible tokens
Detrended fluctuation analysis
Detrended cross-correlation analysis
Efficiency
topic Non-fungible tokens
Detrended fluctuation analysis
Detrended cross-correlation analysis
Efficiency
description Non-fungible tokens (NFTs) are a type of digital record of ownership used in a unique way: ensuring authenticity and uniqueness. Due to these characteristics, NFTs have been used in several markets: games, arts, and sports, among others. In 2020, the volume of negotiations of the NFTs was about USD 200 million. Despite the strong interest of economic agents in operating with NFTs, there are still gaps in the literature, regarding their dynamics and price interrelation with other potentially related assets, which deserve to be studied. In this sense, the main purpose in this paper is to analyze the cross-correlation between NFTs and larger cryptocurrencies. To this end, our methodological approach is based on a Detrended Cross-Correlation Analysis correlation coefficient, with a sliding windows approach. Our main finding is that the cross-correlations are not significant, except for a few cryptocurrencies, with weak significance at some moments of time. We also carried out an analysis of the long-term memory of NFTs, which demonstrated the antipersistence of these assets, with results seemingly corroborating the market inefficiency hypothesis. Our results are particularly important for different classes of investors, due to the analysis on different time scales.
publishDate 2022
dc.date.none.fl_str_mv 2022-10
2022-10-01T00:00:00Z
2023-03-17T14:27:25Z
2023-02-20T12:15:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/44211
url http://hdl.handle.net/10400.26/44211
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv cv-prod-3138223
10.3390/fintech1040023
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799131536773087232