CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Análise Econômica (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/87158 |
Resumo: | This paper seeks to understand the behavior of the sectoral, governanceand sustainability indices of the Brazilian stock exchange. For this, a traditional methodology was used with the CAPM models in their versions: static, with regime change(Markov Switching) and with betas varying at each point of time (Kalman Filter andSmoother). The application of this methodology brought evidence that eight of thenine indexes analyzed present structural change (alternating between two regimes). Inaddition, it was noted that betas are unstable over time, ie there is a nonlinear relationship between risk and return. Overall, the results found indicate that the systemic risk(beta) of the analyzed indices varies over time and depends on regimens. Finally, thisanalysis allows the manager or investor to have access to a set of information relevant to his decision making regarding investments in sectors or a set of companies with goodpractices, which make up the Brazilian stock exchange. |
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CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICESCAPM - MARKOV SWITCHING E KALMAN FILTER: UMA APLICAÇÃO AOS ÍNDICES SETORIAIS DE SUSTENTABILIDADE E GOVERNANÇA DA B3CAPMIbovespaMarkov SwitchingFiltro de KalmanG10G11G12CAPMIbovespaMarkov switchingKalman filterG10G11G12This paper seeks to understand the behavior of the sectoral, governanceand sustainability indices of the Brazilian stock exchange. For this, a traditional methodology was used with the CAPM models in their versions: static, with regime change(Markov Switching) and with betas varying at each point of time (Kalman Filter andSmoother). The application of this methodology brought evidence that eight of thenine indexes analyzed present structural change (alternating between two regimes). Inaddition, it was noted that betas are unstable over time, ie there is a nonlinear relationship between risk and return. Overall, the results found indicate that the systemic risk(beta) of the analyzed indices varies over time and depends on regimens. Finally, thisanalysis allows the manager or investor to have access to a set of information relevant to his decision making regarding investments in sectors or a set of companies with goodpractices, which make up the Brazilian stock exchange.Este estudo busca investigar a formação dos retornos de índices setoriais ede práticas corporativas da B3. Para tanto, utiliza-se uma metodologia tradicional comos modelos de precificação de ativos de capital (CAPM) em suas versões estática – commudança de regime (Markov switching) – e com betas variando a cada ponto do tempo– filtro e suavizador de Kalman. A aplicação dessa metologia traz evidências de queoito dos nove índices analisados apresentam mudança estrutural (alternam entre doisregimes). Além disso, nota-se que os betas são instáveis ao longo do tempo, isto é, háuma relação não linear entre risco e retorno. De modo geral, os resultados encontradosindicam que o risco sistêmico (beta) dos índices analisados variam ao longo do tempoe dependem de regimes. Por fim, a presente análise possibilita ao gestor ou investidorter acesso a um conjunto de informações relevantes para sua tomada de decisão emrelação a investimentos em setores ou conjunto de empresas com boas práticas quecompõem a bolsa de valores brasileira.UFRGS2021-09-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/8715810.22456/2176-5456.87158Análise Econômica; Vol. 39 No. 80 (2021): Setembro/2021Análise Econômica; v. 39 n. 80 (2021): Setembro/20212176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/87158/66228Copyright (c) 2021 Análise Econômicainfo:eu-repo/semantics/openAccessTavares, Ricardo de SouzaCaldeira, João Frois2022-02-04T23:19:31Zoai:seer.ufrgs.br:article/87158Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2022-02-04T23:19:31Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES CAPM - MARKOV SWITCHING E KALMAN FILTER: UMA APLICAÇÃO AOS ÍNDICES SETORIAIS DE SUSTENTABILIDADE E GOVERNANÇA DA B3 |
title |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES |
spellingShingle |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES Tavares, Ricardo de Souza CAPM Ibovespa Markov Switching Filtro de Kalman G10 G11 G12 CAPM Ibovespa Markov switching Kalman filter G10 G11 G12 |
title_short |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES |
title_full |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES |
title_fullStr |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES |
title_full_unstemmed |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES |
title_sort |
CAPM - MARKOV SWITCHING AND KALMAN FILTER: AN APPLICATION TO B3’S SUSTAINABILITY AND GOVERNANCE INDUSTRY INDICES |
author |
Tavares, Ricardo de Souza |
author_facet |
Tavares, Ricardo de Souza Caldeira, João Frois |
author_role |
author |
author2 |
Caldeira, João Frois |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Tavares, Ricardo de Souza Caldeira, João Frois |
dc.subject.por.fl_str_mv |
CAPM Ibovespa Markov Switching Filtro de Kalman G10 G11 G12 CAPM Ibovespa Markov switching Kalman filter G10 G11 G12 |
topic |
CAPM Ibovespa Markov Switching Filtro de Kalman G10 G11 G12 CAPM Ibovespa Markov switching Kalman filter G10 G11 G12 |
description |
This paper seeks to understand the behavior of the sectoral, governanceand sustainability indices of the Brazilian stock exchange. For this, a traditional methodology was used with the CAPM models in their versions: static, with regime change(Markov Switching) and with betas varying at each point of time (Kalman Filter andSmoother). The application of this methodology brought evidence that eight of thenine indexes analyzed present structural change (alternating between two regimes). Inaddition, it was noted that betas are unstable over time, ie there is a nonlinear relationship between risk and return. Overall, the results found indicate that the systemic risk(beta) of the analyzed indices varies over time and depends on regimens. Finally, thisanalysis allows the manager or investor to have access to a set of information relevant to his decision making regarding investments in sectors or a set of companies with goodpractices, which make up the Brazilian stock exchange. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-29 |
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://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/87158 10.22456/2176-5456.87158 |
url |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/87158 |
identifier_str_mv |
10.22456/2176-5456.87158 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/87158/66228 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Análise Econômica info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Análise Econômica |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRGS |
publisher.none.fl_str_mv |
UFRGS |
dc.source.none.fl_str_mv |
Análise Econômica; Vol. 39 No. 80 (2021): Setembro/2021 Análise Econômica; v. 39 n. 80 (2021): Setembro/2021 2176-5456 0102-9924 reponame:Análise Econômica (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Análise Econômica (Online) |
collection |
Análise Econômica (Online) |
repository.name.fl_str_mv |
Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
||rae@ufrgs.br |
_version_ |
1799766268423700480 |