When markets fall down: are emerging markets all the same?

Detalhes bibliográficos
Autor(a) principal: Ramos, S.
Data de Publicação: 2011
Outros Autores: Vermunt, J. K., Dias, J. G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/9948
Resumo: This paper studies the dynamics of stock market regimes in emerging markets. Using a mixture version of the standard regime-switching model, we find that the 18 analysed emerging markets can be clustered into three groups. Whereas each of these three groups is characterized by the same two regimes-a bull state with positive returns and low volatility and a bear state with negative returns and high volatility-they clearly differ with respect to their regime-switching dynamics. The first group contains stock markets which swing frequently between the two regimes, the second group shows more regime persistence, and the third group consists of stock markets that are less likely than the others to move to a bear regime period. Standard practice among stock market analysts is to group emerging markets by geographical region. The fact that our model-based clustering is only weakly related to such a regional classification demonstrates the limited validity of the latter. Moreover, a detailed analysis of regime synchronicities across the 18 studied emerging markets shows that there is evidence of regime synchronicity for certain pairs of markets, but this does not rule out that two synchronized markets have different regime dynamics and thus belong to different regime-switching clusters. Hence, our results show that it is incorrect to treat the studied emerging markets as a single homogeneous group because there is strong evidence for substantial differences in their regime-switching dynamics.
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spelling When markets fall down: are emerging markets all the same?BearBullEmerging marketsHeterogeneitySwitching-regime modelThis paper studies the dynamics of stock market regimes in emerging markets. Using a mixture version of the standard regime-switching model, we find that the 18 analysed emerging markets can be clustered into three groups. Whereas each of these three groups is characterized by the same two regimes-a bull state with positive returns and low volatility and a bear state with negative returns and high volatility-they clearly differ with respect to their regime-switching dynamics. The first group contains stock markets which swing frequently between the two regimes, the second group shows more regime persistence, and the third group consists of stock markets that are less likely than the others to move to a bear regime period. Standard practice among stock market analysts is to group emerging markets by geographical region. The fact that our model-based clustering is only weakly related to such a regional classification demonstrates the limited validity of the latter. Moreover, a detailed analysis of regime synchronicities across the 18 studied emerging markets shows that there is evidence of regime synchronicity for certain pairs of markets, but this does not rule out that two synchronized markets have different regime dynamics and thus belong to different regime-switching clusters. Hence, our results show that it is incorrect to treat the studied emerging markets as a single homogeneous group because there is strong evidence for substantial differences in their regime-switching dynamics.Wiley-Blackwell2015-10-08T11:11:29Z2011-01-01T00:00:00Z20112019-03-26T15:24:27Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/9948eng1076-930710.1002/ijfe.431Ramos, S.Vermunt, J. K.Dias, J. G.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:45:41Zoai:repositorio.iscte-iul.pt:10071/9948Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:21:52.315384Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv When markets fall down: are emerging markets all the same?
title When markets fall down: are emerging markets all the same?
spellingShingle When markets fall down: are emerging markets all the same?
Ramos, S.
Bear
Bull
Emerging markets
Heterogeneity
Switching-regime model
title_short When markets fall down: are emerging markets all the same?
title_full When markets fall down: are emerging markets all the same?
title_fullStr When markets fall down: are emerging markets all the same?
title_full_unstemmed When markets fall down: are emerging markets all the same?
title_sort When markets fall down: are emerging markets all the same?
author Ramos, S.
author_facet Ramos, S.
Vermunt, J. K.
Dias, J. G.
author_role author
author2 Vermunt, J. K.
Dias, J. G.
author2_role author
author
dc.contributor.author.fl_str_mv Ramos, S.
Vermunt, J. K.
Dias, J. G.
dc.subject.por.fl_str_mv Bear
Bull
Emerging markets
Heterogeneity
Switching-regime model
topic Bear
Bull
Emerging markets
Heterogeneity
Switching-regime model
description This paper studies the dynamics of stock market regimes in emerging markets. Using a mixture version of the standard regime-switching model, we find that the 18 analysed emerging markets can be clustered into three groups. Whereas each of these three groups is characterized by the same two regimes-a bull state with positive returns and low volatility and a bear state with negative returns and high volatility-they clearly differ with respect to their regime-switching dynamics. The first group contains stock markets which swing frequently between the two regimes, the second group shows more regime persistence, and the third group consists of stock markets that are less likely than the others to move to a bear regime period. Standard practice among stock market analysts is to group emerging markets by geographical region. The fact that our model-based clustering is only weakly related to such a regional classification demonstrates the limited validity of the latter. Moreover, a detailed analysis of regime synchronicities across the 18 studied emerging markets shows that there is evidence of regime synchronicity for certain pairs of markets, but this does not rule out that two synchronized markets have different regime dynamics and thus belong to different regime-switching clusters. Hence, our results show that it is incorrect to treat the studied emerging markets as a single homogeneous group because there is strong evidence for substantial differences in their regime-switching dynamics.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01T00:00:00Z
2011
2015-10-08T11:11:29Z
2019-03-26T15:24:27Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/9948
url http://hdl.handle.net/10071/9948
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1076-9307
10.1002/ijfe.431
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dc.publisher.none.fl_str_mv Wiley-Blackwell
publisher.none.fl_str_mv Wiley-Blackwell
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