When markets fall down: are emerging markets all the same?
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
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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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:RCAAP2024-07-07T03:09:32Zoai:repositorio.iscte-iul.pt:10071/9948Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T03:09:32Repositório 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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley-Blackwell |
publisher.none.fl_str_mv |
Wiley-Blackwell |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817546407392837632 |