Dynamic analysis of volatility for the brazilian stock market sector: a aplication of MRS-GARCH model
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
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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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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1814256155113816064 |