Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing

Detalhes bibliográficos
Autor(a) principal: Natividade, Eduardo Alexandre
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UFSC
Texto Completo: https://repositorio.ufsc.br/handle/123456789/248849
Resumo: TCC (graduação) - Universidade Federal de Santa Catarina, Centro Socioeconômico, Ciências Contábeis.
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spelling Blockchain Technology and Panel Data Regression Methods: applications to Accounting and AuditingBlockchain;accounting; auditing;cryptocurrencies;big data.TCC (graduação) - Universidade Federal de Santa Catarina, Centro Socioeconômico, Ciências Contábeis.This study aims to propose a regression methods applied to evaluate Blockchain technology. Among the statistical methods proposed, we applied a panel data regression model with 7,300 observations, with 10 blockchain variables. The main variable adopted for the study was the daily variation in the value of cryptocurrencies, which was obtained through a calculation involving the opening and closing price of each day. Using big data, results show several informations applied to accounting and auditing, extracted from the 10 most valuable cryptocurrencies. These cryptocurrencies make use of Blockchain technology, considered by experts an innovation as important as the internet itself, through which information can be stored and interconnected with each other, and are already changing accounting and auditing.Florianópolis, SC.Flach, LeonardoUniversidade Federal de Santa Catarina.Natividade, Eduardo Alexandre2023-07-14T10:03:18Z2023-07-14T10:03:18Z2022-09-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://repositorio.ufsc.br/handle/123456789/248849Open Access.info:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFSCinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSC2023-07-14T10:03:19Zoai:repositorio.ufsc.br:123456789/248849Repositório InstitucionalPUBhttp://150.162.242.35/oai/requestopendoar:23732023-07-14T10:03:19Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC)false
dc.title.none.fl_str_mv Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
title Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
spellingShingle Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
Natividade, Eduardo Alexandre
Blockchain;
accounting; auditing;
cryptocurrencies;
big data.
title_short Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
title_full Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
title_fullStr Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
title_full_unstemmed Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
title_sort Blockchain Technology and Panel Data Regression Methods: applications to Accounting and Auditing
author Natividade, Eduardo Alexandre
author_facet Natividade, Eduardo Alexandre
author_role author
dc.contributor.none.fl_str_mv Flach, Leonardo
Universidade Federal de Santa Catarina.
dc.contributor.author.fl_str_mv Natividade, Eduardo Alexandre
dc.subject.por.fl_str_mv Blockchain;
accounting; auditing;
cryptocurrencies;
big data.
topic Blockchain;
accounting; auditing;
cryptocurrencies;
big data.
description TCC (graduação) - Universidade Federal de Santa Catarina, Centro Socioeconômico, Ciências Contábeis.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-21
2023-07-14T10:03:18Z
2023-07-14T10:03:18Z
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 https://repositorio.ufsc.br/handle/123456789/248849
url https://repositorio.ufsc.br/handle/123456789/248849
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Open Access.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access.
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Florianópolis, SC.
publisher.none.fl_str_mv Florianópolis, SC.
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFSC
instname:Universidade Federal de Santa Catarina (UFSC)
instacron:UFSC
instname_str Universidade Federal de Santa Catarina (UFSC)
instacron_str UFSC
institution UFSC
reponame_str Repositório Institucional da UFSC
collection Repositório Institucional da UFSC
repository.name.fl_str_mv Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC)
repository.mail.fl_str_mv
_version_ 1808652282503364608

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