Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model

Detalhes bibliográficos
Autor(a) principal: Conte, Bruno Pereira
Data de Publicação: 2022
Outros Autores: Ceretta, Paulo Sérgio
Tipo de documento: Artigo
Idioma: por
Título da fonte: RACE (Joaçaba. Online)
Texto Completo: https://periodicos.unoesc.edu.br/race/article/view/20975
Resumo: In this study, a analysis the dynamic of volatility was proposed in the Brazilian stock market sectors, thus making a study in the main sector indexes of B3. It was used the model of Markov Switching Regimes. As results, initially we observed the absence of leverage effect in the most part of the series. In addition, there was a predominance of asymmetry as well as the persistence of volatility for most part of regimes from the series. It was observed too, that there was a great similarity between the Brazilian stock market and the financial sector, both with very closely regimes, besides having volatility with a characteristic of greater persistence after the year of 2013. Another similarity found was between the Public Utilities sector and the Eletric Energy sector, both characterized by the great alternation between the estimated regimes. Thus, it was possible to conclude that each sector of the Brazilian stock market has an idiosyncratic behavior, and the volatility of its returns was captured by the different estimated regimes, a finding that contributes to future sectorial evaluations of the Brazilian market.
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spelling Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH modelAnálise dinâmica de volatilidade para os setores do mercado acionário brasileiro: uma aplicação do modelo MRS-GARCHÍndices setoriaisMercado brasileiroVolatilidadeRegimes de volatilidadeSector indexesBrazilian stock marketVolatilitySwitching volatility regimesIn this study, a analysis the dynamic of volatility was proposed in the Brazilian stock market sectors, thus making a study in the main sector indexes of B3. It was used the model of Markov Switching Regimes. As results, initially we observed the absence of leverage effect in the most part of the series. In addition, there was a predominance of asymmetry as well as the persistence of volatility for most part of regimes from the series. It was observed too, that there was a great similarity between the Brazilian stock market and the financial sector, both with very closely regimes, besides having volatility with a characteristic of greater persistence after the year of 2013. Another similarity found was between the Public Utilities sector and the Eletric Energy sector, both characterized by the great alternation between the estimated regimes. Thus, it was possible to conclude that each sector of the Brazilian stock market has an idiosyncratic behavior, and the volatility of its returns was captured by the different estimated regimes, a finding that contributes to future sectorial evaluations of the Brazilian market.Nesse artigo, foi proposta uma análise da dinâmica de volatilidade nos setores do mercado acionário brasileiro, fazendo-se assim um estudo nos principais índices setoriais da Brasil, Bolsa, Balcão (B3). Utilizou-se o modelo de regimes de Markov. Como resultados, inicialmente se observou a ausência de efeito alavancagem na maioria dos regimes das séries. Além disso, houve um predomínio de assimetria bem como a persistência de volatilidade para a maior parte dos regimes dos índices. Notou-se também uma grande similaridade entre o mercado brasileiro e o setor Financeiro, sendo ambos com regimes muito próximos, além de possuírem volatilidade com característica de maior persistência após o ano de 2013. Outra similaridade encontrada foi entre o setor de Utilidade Pública e o setor de Energia Elétrica, ambos caracterizados pela grande alternância entre os regimes estimados. Assim, foi possível concluir que cada setor do mercado acionário brasileiro tem um comportamento idiossincrático, sendo que a volatilidade de seus retornos foi captada pelos diferentes regimes estimados, um achado que contribui para as futuras avaliações setoriais do mercado brasileiroUniversidade do Oeste de Santa Catarina2022-04-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.unoesc.edu.br/race/article/view/2097510.18593/race.20975RACE - Revista de Administração, Contabilidade e Economia; Vol. 21 No. 1 (2022): RACE jan./abr. 2022; 101-120RACE - Revista de Administração, Contabilidade e Economia; v. 21 n. 1 (2022): RACE jan./abr. 2022; 101-1202179-49361678-6483reponame:RACE (Joaçaba. Online)instname:Universidade do Oeste de Santa Catarina (UNOESC)instacron:UNOESCporhttps://periodicos.unoesc.edu.br/race/article/view/20975/17371https://periodicos.unoesc.edu.br/race/article/view/20975/17375Copyright (c) 2022 Bruno Pereira Conte, Paulo Sérgio Cerettahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessConte, Bruno PereiraCeretta, Paulo Sérgio2022-08-16T14:04:07Zoai:ojs.periodicos.unoesc.edu.br:article/20975Revistahttps://portalperiodicos.unoesc.edu.br/racehttps://portalperiodicos.unoesc.edu.br/race/oairace@unoesc.edu.br||editora@unoesc.edu.br2179-49361678-6483opendoar:2022-08-16T14:04:07RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC)false
dc.title.none.fl_str_mv Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
Análise dinâmica de volatilidade para os setores do mercado acionário brasileiro: uma aplicação do modelo MRS-GARCH
title Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
spellingShingle Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
Conte, Bruno Pereira
Índices setoriais
Mercado brasileiro
Volatilidade
Regimes de volatilidade
Sector indexes
Brazilian stock market
Volatility
Switching volatility regimes
title_short Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
title_full Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
title_fullStr Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
title_full_unstemmed Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
title_sort Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
author Conte, Bruno Pereira
author_facet Conte, Bruno Pereira
Ceretta, Paulo Sérgio
author_role author
author2 Ceretta, Paulo Sérgio
author2_role author
dc.contributor.author.fl_str_mv Conte, Bruno Pereira
Ceretta, Paulo Sérgio
dc.subject.por.fl_str_mv Índices setoriais
Mercado brasileiro
Volatilidade
Regimes de volatilidade
Sector indexes
Brazilian stock market
Volatility
Switching volatility regimes
topic Índices setoriais
Mercado brasileiro
Volatilidade
Regimes de volatilidade
Sector indexes
Brazilian stock market
Volatility
Switching volatility regimes
description In this study, a analysis the dynamic of volatility was proposed in the Brazilian stock market sectors, thus making a study in the main sector indexes of B3. It was used the model of Markov Switching Regimes. As results, initially we observed the absence of leverage effect in the most part of the series. In addition, there was a predominance of asymmetry as well as the persistence of volatility for most part of regimes from the series. It was observed too, that there was a great similarity between the Brazilian stock market and the financial sector, both with very closely regimes, besides having volatility with a characteristic of greater persistence after the year of 2013. Another similarity found was between the Public Utilities sector and the Eletric Energy sector, both characterized by the great alternation between the estimated regimes. Thus, it was possible to conclude that each sector of the Brazilian stock market has an idiosyncratic behavior, and the volatility of its returns was captured by the different estimated regimes, a finding that contributes to future sectorial evaluations of the Brazilian market.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unoesc.edu.br/race/article/view/20975
10.18593/race.20975
url https://periodicos.unoesc.edu.br/race/article/view/20975
identifier_str_mv 10.18593/race.20975
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.unoesc.edu.br/race/article/view/20975/17371
https://periodicos.unoesc.edu.br/race/article/view/20975/17375
dc.rights.driver.fl_str_mv Copyright (c) 2022 Bruno Pereira Conte, Paulo Sérgio Ceretta
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Bruno Pereira Conte, Paulo Sérgio Ceretta
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Universidade do Oeste de Santa Catarina
publisher.none.fl_str_mv Universidade do Oeste de Santa Catarina
dc.source.none.fl_str_mv RACE - Revista de Administração, Contabilidade e Economia; Vol. 21 No. 1 (2022): RACE jan./abr. 2022; 101-120
RACE - Revista de Administração, Contabilidade e Economia; v. 21 n. 1 (2022): RACE jan./abr. 2022; 101-120
2179-4936
1678-6483
reponame:RACE (Joaçaba. Online)
instname:Universidade do Oeste de Santa Catarina (UNOESC)
instacron:UNOESC
instname_str Universidade do Oeste de Santa Catarina (UNOESC)
instacron_str UNOESC
institution UNOESC
reponame_str RACE (Joaçaba. Online)
collection RACE (Joaçaba. Online)
repository.name.fl_str_mv RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC)
repository.mail.fl_str_mv race@unoesc.edu.br||editora@unoesc.edu.br
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