Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3

Detalhes bibliográficos
Autor(a) principal: Reis, Marcelo Queiroga
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/13649
Resumo: Due to its relevance for financial theory, several studies have been carried out by the academic community about the behavior of the volatility of variable income assets, mainly the stock market, analyzing them from the standards presented in the most different markets around the world. In this view, the utilization of the models for estimation of volatility parameters of GARCH family has been fundamental in the correct evaluation of financial assets volatility behavior. The introduction of the Copula-DCC-GARCH model came to bring even more robustness to results. Its use was considered adequate to the objectives of the present study, being the main one of these to analyze the behavior of the volatility of stocks from different listing segments of B3 Stock Exchange. These segments are differentiated by corporate governance stricter rules. In order to analyze the volatility of stocks returns and to reach the proposed objectives, were created portfolios with stocks that made part, in 2017, of the Mid-Large Cap Index. This index represents 85% of B3 stock exchange market value. Stocks were selected by each B3 corporate governance listing segment Level 1 (Nível 1), Level 2 (Nível 2), New Market (Novo Mercado) and also from the Basic Segment, totalizing 31 companies. Were collected daily data from these companies and from Ibovespa, from 2007 to 2017. This period was tagged by the occurrence of two serious financial crisis, which generated increased volatility on the Brazilian stock market. From the results, supported by highly significant parameters of the model, it was identified that Novo Mercado portfolio has presented the lowest value for the average conditional volatility, in the analyzed period. On the other hand, the portfolio constituted by companies listed on the Basic Segment has shown the highest average volatility among the four analyzed portfolios. Changes on the Dynamic Conditional Correlations (DCC) levels of Novo Mercado, Level 2, Level 1 and Basic portfolios were also identified during the analyzed period.
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spelling Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3Comparative analysis of the conditional volatility of stocks listed on the corporate governance segments of B3RiscosCrisesVolatilidadeGovernança corporativaCópula-DCCGARCHRisksCrisisVolatilityCorporate governanceCopula-DCC-GARCHCNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAODue to its relevance for financial theory, several studies have been carried out by the academic community about the behavior of the volatility of variable income assets, mainly the stock market, analyzing them from the standards presented in the most different markets around the world. In this view, the utilization of the models for estimation of volatility parameters of GARCH family has been fundamental in the correct evaluation of financial assets volatility behavior. The introduction of the Copula-DCC-GARCH model came to bring even more robustness to results. Its use was considered adequate to the objectives of the present study, being the main one of these to analyze the behavior of the volatility of stocks from different listing segments of B3 Stock Exchange. These segments are differentiated by corporate governance stricter rules. In order to analyze the volatility of stocks returns and to reach the proposed objectives, were created portfolios with stocks that made part, in 2017, of the Mid-Large Cap Index. This index represents 85% of B3 stock exchange market value. Stocks were selected by each B3 corporate governance listing segment Level 1 (Nível 1), Level 2 (Nível 2), New Market (Novo Mercado) and also from the Basic Segment, totalizing 31 companies. Were collected daily data from these companies and from Ibovespa, from 2007 to 2017. This period was tagged by the occurrence of two serious financial crisis, which generated increased volatility on the Brazilian stock market. From the results, supported by highly significant parameters of the model, it was identified that Novo Mercado portfolio has presented the lowest value for the average conditional volatility, in the analyzed period. On the other hand, the portfolio constituted by companies listed on the Basic Segment has shown the highest average volatility among the four analyzed portfolios. Changes on the Dynamic Conditional Correlations (DCC) levels of Novo Mercado, Level 2, Level 1 and Basic portfolios were also identified during the analyzed period.Dada a sua relevância para a teoria financeira, diversos estudos têm sido realizados pela comunidade acadêmica acerca do comportamento da volatilidade de ativos de renda variável, principalmente o mercado de ações, analisando-os a partir dos padrões apresentados nos mais diferentes mercados ao redor do mundo. Nesse espectro, a utilização dos modelos de estimação dos parâmetros de volatilidade da família GARCH tem sido fundamental na correta avaliação do comportamento da volatilidade de ativos financeiros. A introdução do modelo Cópula-DCC-GARCH veio trazer ainda mais robustez aos resultados. Sua utilização foi considerada adequada aos objetivos do presente estudo, sendo o principal destes analisar o comportamento da volatilidade de ações dos diferentes segmentos de listagem ações da bolsa de valores B3. Esses segmentos se diferenciam por meio de regras mais rigorosas no que diz respeito à governança corporativa. Para a análise da volatilidade dos retornos e alcance dos objetivos propostos foram elaboradas carteiras de ações de empresas integrantes em 2017 do índice Mid-Large Cap. Esse índice representa 85% do valor de mercado da bolsa de valores B3. Foram selecionadas ações de empresas de cada segmento voltado para a governança corporativa (Nível 1, Nível 2 e Novo Mercado) e ainda para o segmento Básico, totalizando 31 empresas. Foram coletados dados diárias destas empresas e do Ibovespa entre os anos de 2007 e 2017. Esse período foi marcado pela ocorrência de duas graves crises financeiras, que geraram forte aumento da volatilidade no mercado acionário brasileiro. A partir dos resultados, amparados pelos parâmetros significativos do modelo, foi identificado que a carteira do Novo Mercado apresentou o menor valor médio para a volatilidade condicional no período analisado. Por outro lado, a carteira de ações de empresas listadas no segmento Básico apresentou a maior volatilidade entre os quatro portfólios analisados. Foram ainda identificadas modificações nos níveis de Correlação Condicional Dinâmica (DCC) das carteiras dos segmentos Novo Mercado, N1, N2 e Básico ao longo do período analisado.Universidade Federal de Santa MariaBrasilAdministraçãoUFSMPrograma de Pós-Graduação em AdministraçãoCentro de Ciências Sociais e HumanasCeretta, Paulo Sergiohttp://lattes.cnpq.br/3049029014914257Sonza, Igor Bernardihttp://lattes.cnpq.br/0001554374469356Milani, Brunohttp://lattes.cnpq.br/0005005751598450Reis, Marcelo Queiroga2018-07-03T19:50:39Z2018-07-03T19:50:39Z2017-12-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/13649porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2018-07-03T19:50:39Zoai:repositorio.ufsm.br:1/13649Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2018-07-03T19:50:39Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
Comparative analysis of the conditional volatility of stocks listed on the corporate governance segments of B3
title Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
spellingShingle Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
Reis, Marcelo Queiroga
Riscos
Crises
Volatilidade
Governança corporativa
Cópula-DCCGARCH
Risks
Crisis
Volatility
Corporate governance
Copula-DCC-GARCH
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
title_short Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
title_full Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
title_fullStr Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
title_full_unstemmed Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
title_sort Análise comparativa da volatilidade condicional de ações listadas nos segmentos de governança corporativa da B3
author Reis, Marcelo Queiroga
author_facet Reis, Marcelo Queiroga
author_role author
dc.contributor.none.fl_str_mv Ceretta, Paulo Sergio
http://lattes.cnpq.br/3049029014914257
Sonza, Igor Bernardi
http://lattes.cnpq.br/0001554374469356
Milani, Bruno
http://lattes.cnpq.br/0005005751598450
dc.contributor.author.fl_str_mv Reis, Marcelo Queiroga
dc.subject.por.fl_str_mv Riscos
Crises
Volatilidade
Governança corporativa
Cópula-DCCGARCH
Risks
Crisis
Volatility
Corporate governance
Copula-DCC-GARCH
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
topic Riscos
Crises
Volatilidade
Governança corporativa
Cópula-DCCGARCH
Risks
Crisis
Volatility
Corporate governance
Copula-DCC-GARCH
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
description Due to its relevance for financial theory, several studies have been carried out by the academic community about the behavior of the volatility of variable income assets, mainly the stock market, analyzing them from the standards presented in the most different markets around the world. In this view, the utilization of the models for estimation of volatility parameters of GARCH family has been fundamental in the correct evaluation of financial assets volatility behavior. The introduction of the Copula-DCC-GARCH model came to bring even more robustness to results. Its use was considered adequate to the objectives of the present study, being the main one of these to analyze the behavior of the volatility of stocks from different listing segments of B3 Stock Exchange. These segments are differentiated by corporate governance stricter rules. In order to analyze the volatility of stocks returns and to reach the proposed objectives, were created portfolios with stocks that made part, in 2017, of the Mid-Large Cap Index. This index represents 85% of B3 stock exchange market value. Stocks were selected by each B3 corporate governance listing segment Level 1 (Nível 1), Level 2 (Nível 2), New Market (Novo Mercado) and also from the Basic Segment, totalizing 31 companies. Were collected daily data from these companies and from Ibovespa, from 2007 to 2017. This period was tagged by the occurrence of two serious financial crisis, which generated increased volatility on the Brazilian stock market. From the results, supported by highly significant parameters of the model, it was identified that Novo Mercado portfolio has presented the lowest value for the average conditional volatility, in the analyzed period. On the other hand, the portfolio constituted by companies listed on the Basic Segment has shown the highest average volatility among the four analyzed portfolios. Changes on the Dynamic Conditional Correlations (DCC) levels of Novo Mercado, Level 2, Level 1 and Basic portfolios were also identified during the analyzed period.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-05
2018-07-03T19:50:39Z
2018-07-03T19:50:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/13649
url http://repositorio.ufsm.br/handle/1/13649
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Administração
UFSM
Programa de Pós-Graduação em Administração
Centro de Ciências Sociais e Humanas
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Administração
UFSM
Programa de Pós-Graduação em Administração
Centro de Ciências Sociais e Humanas
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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