Analysis of co-movements between the capital markets in Brazil and the United States
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , |
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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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 |
institution |
FBS |
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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1754732237998260224 |