On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/9412 |
Resumo: | Artigo em revista científica internacional com arbitragem científica |
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On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging marketsProceedings of the 8th Polish Symposium of Physics in Economy and Social Sciences FENSStock market volatilityFIGARCH approachArtigo em revista científica internacional com arbitragem científicaWOS:000378613400020 (Nº de Acesso Web of Science)Long memory has always played a central role in physics since it was first discovered by Hurst while studying the flow of the River Nile. Interestingly, after his seminal work, many other researchers found the same pattern in other domains of science, such as biology, economics and finance. These studies have mainly relied on the use of the Hurst exponents as a measure of the degree of memory in a process. In this paper we use a different approach based on the FIGARCH (fractional integrated generalized autoregressive conditionally heteroskedasticity) model proposed by Baillie et al. in order to analyze the long memory behavior of stock market volatility. More specifically, we compare how the long memory parameter evolves before and after the 2008 and 2012 crises in both developed and emerging markets. Specifically, we consider the daily returns of the S&P 500, STOXX 50, FTSE 100, NIKKEI 225, HSI, BUX, WIG, SSE, IDX and KLCI indices for the period from October 1, 2003 to October 2, 2015 and then split the whole sample into four sub-samples of roughly three years each. Results show different patterns for the pre and post crisis periods revealing that the degree of memory differs in accordance with the country’s development and the level of market turbulence. In particular, we found that major mature economies present higher levels of long memory than emerging countries and were more affected by the 2008 and 2012 crises.Polish Academy of SciencesRCIPLBentes, Sonia2019-02-05T11:39:38Z2015-112015-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/9412eng10.12693/APhysPolA.129.997info: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:RCAAP2023-08-03T09:58:03Zoai:repositorio.ipl.pt:10400.21/9412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:17:59.344079Repositório 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 |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets Proceedings of the 8th Polish Symposium of Physics in Economy and Social Sciences FENS |
title |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets |
spellingShingle |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets Bentes, Sonia Stock market volatility FIGARCH approach |
title_short |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets |
title_full |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets |
title_fullStr |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets |
title_full_unstemmed |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets |
title_sort |
On the conditional behavior of stock market volatility: a sub-sample analysis using the FIGARCH approach for developed and emerging markets |
author |
Bentes, Sonia |
author_facet |
Bentes, Sonia |
author_role |
author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Bentes, Sonia |
dc.subject.por.fl_str_mv |
Stock market volatility FIGARCH approach |
topic |
Stock market volatility FIGARCH approach |
description |
Artigo em revista científica internacional com arbitragem científica |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11 2015-11-01T00:00:00Z 2019-02-05T11:39:38Z |
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/10400.21/9412 |
url |
http://hdl.handle.net/10400.21/9412 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.12693/APhysPolA.129.997 |
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 |
Polish Academy of Sciences |
publisher.none.fl_str_mv |
Polish Academy of Sciences |
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 |
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1799133443773169664 |