Analysis of co-movements between the capital markets in Brazil and the United States

Detalhes bibliográficos
Autor(a) principal: Bergmann, Daniel Reed
Data de Publicação: 2011
Outros Autores: Savoia, José Roberto Ferreira, Mendes-da-Silva, Wesley, Oliveira, Mauri Aparecido de, Nakamura, Wilson Toshiro
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: BBR. Brazilian Business Review (English edition. Online)
Texto Completo: http://www.bbronline.com.br/index.php/bbr/article/view/291
Resumo: In this article copula theory is used to analyze the co-movements between the Brazilian and American capital markets. To formulate an effective asset allocation strategy, it is important to understand extreme events – both positive (booms) and negative (crashes) – and their effects on markets. The market indexes used are the Ibovespa and the S&P 500, covering the period from March 2001 to April 2007. We tested the adherence to the log-returns of the main copulas found in the financial literature, using the following criteria: log-likelihood, Akaike information criterion and Bayesian information criterion. The results show that the symmetrized Joe-Clayton copula is most suitable to model the dependence structure between the log-returns of the Ibovespa and the S&P500. This work differs from some previous ones (e.g., Mendes & Moretti, 2005 and Canela & Collazo, 2005) because we take into account the modeling of dynamic copulas, as introduced by Patton (2006). Finally, from the tail-dependence indexes over time, it can be concluded that the occurrence of crashes in the American market tends to affect the Brazilian market more than does the occurrence of booms.
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spelling Analysis of co-movements between the capital markets in Brazil and the United StatesAnálise dos co-movimentos entre os mercados de capitais do Brasil e dos EUACo-movementscopulasasset returnsfinancial strategyCo-movimentosCopularetornos de ativosestratégia financeiraIn this article copula theory is used to analyze the co-movements between the Brazilian and American capital markets. To formulate an effective asset allocation strategy, it is important to understand extreme events – both positive (booms) and negative (crashes) – and their effects on markets. The market indexes used are the Ibovespa and the S&P 500, covering the period from March 2001 to April 2007. We tested the adherence to the log-returns of the main copulas found in the financial literature, using the following criteria: log-likelihood, Akaike information criterion and Bayesian information criterion. The results show that the symmetrized Joe-Clayton copula is most suitable to model the dependence structure between the log-returns of the Ibovespa and the S&P500. This work differs from some previous ones (e.g., Mendes & Moretti, 2005 and Canela & Collazo, 2005) because we take into account the modeling of dynamic copulas, as introduced by Patton (2006). Finally, from the tail-dependence indexes over time, it can be concluded that the occurrence of crashes in the American market tends to affect the Brazilian market more than does the occurrence of booms.Neste artigo, a teoria de cópulas é utilizada para analisar os co-movimentos entre os mercados de capitais do Brasil e dos EUA. Na finalidade de implementação de uma estratégia de alocação de ativos é importante entender os eventos extremos – tanto os positivos (boom) como os negativos (crashes) – e seus efeitos sobre os mercados. Os índices de mercado usados são o IBOVESPA e o S&P 500 cobrindo o período de 03/2001 a 04/2007. A aderência aos log-retornos das principais cópulas encontradas na literatura financeira é avaliada. Os seguintes critérios foram escolhidos: o Log-likelihod, o critério de informação de Akaike e o critério de informação bayesiano. Os resultados mostram que a cópula de Joe-Clayton simetrizada é a mais adequada para modelar a estrutura de dependência entre os log-retornos do IBOVESPA e os do S&P500. Este trabalho difere de alguns estudos já realizados [e.g. Mendes e Moretti(2005) e Canela e Collazo(2005)], pois leva em consideração a modelagem de cópulas dinâmicas introduzida por Patton (2006). Finalmente, através dos índices de dependência caudal ao longo do tempo, pode-se concluir que a ocorrência de eventos extremos negativos (crashes) no mercado norte-americano tende a afetar mais o mercado brasileiro quando da comparação da ocorrência dos eventos extremos positivos (booms).FUCAPE Business Shool2011-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleArtigo revisado pelos paresapplication/pdfapplication/pdfhttp://www.bbronline.com.br/index.php/bbr/article/view/29110.15728/bbr.2011.8.4.6Brazilian Business Review; Vol. 8 No. 4 (2011): October to December 2011; 118-132Brazilian Business Review; v. 8 n. 4 (2011): Outubro a Dezembro de 2011; 118-1321808-23861807-734Xreponame:BBR. Brazilian Business Review (English edition. Online)instname:Fucape Business School (FBS)instacron:FBSengporhttp://www.bbronline.com.br/index.php/bbr/article/view/291/441http://www.bbronline.com.br/index.php/bbr/article/view/291/442Bergmann, Daniel ReedSavoia, José Roberto FerreiraMendes-da-Silva, WesleyOliveira, Mauri Aparecido deNakamura, Wilson Toshiroinfo:eu-repo/semantics/openAccess2018-11-06T19:55:35Zoai:ojs.pkp.sfu.ca:article/291Revistahttps://www.bbronline.com.br/index.php/bbr/indexONGhttp://www.bbronline.com.br/index.php/bbr/oai|| bbronline@bbronline.com.br1808-23861808-2386opendoar:2018-11-06T19:55:35BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)false
dc.title.none.fl_str_mv Analysis of co-movements between the capital markets in Brazil and the United States
Análise dos co-movimentos entre os mercados de capitais do Brasil e dos EUA
title Analysis of co-movements between the capital markets in Brazil and the United States
spellingShingle Analysis of co-movements between the capital markets in Brazil and the United States
Bergmann, Daniel Reed
Co-movements
copulas
asset returns
financial strategy
Co-movimentos
Copula
retornos de ativos
estratégia financeira
title_short Analysis of co-movements between the capital markets in Brazil and the United States
title_full Analysis of co-movements between the capital markets in Brazil and the United States
title_fullStr Analysis of co-movements between the capital markets in Brazil and the United States
title_full_unstemmed Analysis of co-movements between the capital markets in Brazil and the United States
title_sort Analysis of co-movements between the capital markets in Brazil and the United States
author Bergmann, Daniel Reed
author_facet Bergmann, Daniel Reed
Savoia, José Roberto Ferreira
Mendes-da-Silva, Wesley
Oliveira, Mauri Aparecido de
Nakamura, Wilson Toshiro
author_role author
author2 Savoia, José Roberto Ferreira
Mendes-da-Silva, Wesley
Oliveira, Mauri Aparecido de
Nakamura, Wilson Toshiro
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bergmann, Daniel Reed
Savoia, José Roberto Ferreira
Mendes-da-Silva, Wesley
Oliveira, Mauri Aparecido de
Nakamura, Wilson Toshiro
dc.subject.por.fl_str_mv Co-movements
copulas
asset returns
financial strategy
Co-movimentos
Copula
retornos de ativos
estratégia financeira
topic Co-movements
copulas
asset returns
financial strategy
Co-movimentos
Copula
retornos de ativos
estratégia financeira
description In this article copula theory is used to analyze the co-movements between the Brazilian and American capital markets. To formulate an effective asset allocation strategy, it is important to understand extreme events – both positive (booms) and negative (crashes) – and their effects on markets. The market indexes used are the Ibovespa and the S&P 500, covering the period from March 2001 to April 2007. We tested the adherence to the log-returns of the main copulas found in the financial literature, using the following criteria: log-likelihood, Akaike information criterion and Bayesian information criterion. The results show that the symmetrized Joe-Clayton copula is most suitable to model the dependence structure between the log-returns of the Ibovespa and the S&P500. This work differs from some previous ones (e.g., Mendes & Moretti, 2005 and Canela & Collazo, 2005) because we take into account the modeling of dynamic copulas, as introduced by Patton (2006). Finally, from the tail-dependence indexes over time, it can be concluded that the occurrence of crashes in the American market tends to affect the Brazilian market more than does the occurrence of booms.
publishDate 2011
dc.date.none.fl_str_mv 2011-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Artigo revisado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.bbronline.com.br/index.php/bbr/article/view/291
10.15728/bbr.2011.8.4.6
url http://www.bbronline.com.br/index.php/bbr/article/view/291
identifier_str_mv 10.15728/bbr.2011.8.4.6
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv http://www.bbronline.com.br/index.php/bbr/article/view/291/441
http://www.bbronline.com.br/index.php/bbr/article/view/291/442
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv FUCAPE Business Shool
publisher.none.fl_str_mv FUCAPE Business Shool
dc.source.none.fl_str_mv Brazilian Business Review; Vol. 8 No. 4 (2011): October to December 2011; 118-132
Brazilian Business Review; v. 8 n. 4 (2011): Outubro a Dezembro de 2011; 118-132
1808-2386
1807-734X
reponame:BBR. Brazilian Business Review (English edition. Online)
instname:Fucape Business School (FBS)
instacron:FBS
instname_str Fucape Business School (FBS)
instacron_str FBS
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reponame_str BBR. Brazilian Business Review (English edition. Online)
collection BBR. Brazilian Business Review (English edition. Online)
repository.name.fl_str_mv BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)
repository.mail.fl_str_mv || bbronline@bbronline.com.br
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