Bayesian analysis of FIAPARCH model: an application to São Paulo stock market
Autor(a) principal: | |
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Data de Publicação: | 2010 |
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/10773/4426 |
Resumo: | In this paper, we develop a Bayesian analysis of a FIAPARCH(p,d,q) model for parameter estimation and conditional variance prediction. In order to study the inference problem we use the Metropolis-Hastings algorithm.This methodology is illustrated in a simulation study and it is applied to a set of observations concerning the returns of IBOVESPA values |
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oai:ria.ua.pt:10773/4426 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock marketAsymmetryLong memoryVolatilityIn this paper, we develop a Bayesian analysis of a FIAPARCH(p,d,q) model for parameter estimation and conditional variance prediction. In order to study the inference problem we use the Metropolis-Hastings algorithm.This methodology is illustrated in a simulation study and it is applied to a set of observations concerning the returns of IBOVESPA valuesCESER Publications2011-11-28T12:49:53Z2010-01-01T00:00:00Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/4426eng0975-556XSafadi, ThelmaPereira, Isabelinfo: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:RCAAP2024-05-06T03:33:43Zoai:ria.ua.pt:10773/4426Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-06T03:33:43Repositório 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 |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
title |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
spellingShingle |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market Safadi, Thelma Asymmetry Long memory Volatility |
title_short |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
title_full |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
title_fullStr |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
title_full_unstemmed |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
title_sort |
Bayesian analysis of FIAPARCH model: an application to São Paulo stock market |
author |
Safadi, Thelma |
author_facet |
Safadi, Thelma Pereira, Isabel |
author_role |
author |
author2 |
Pereira, Isabel |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Safadi, Thelma Pereira, Isabel |
dc.subject.por.fl_str_mv |
Asymmetry Long memory Volatility |
topic |
Asymmetry Long memory Volatility |
description |
In this paper, we develop a Bayesian analysis of a FIAPARCH(p,d,q) model for parameter estimation and conditional variance prediction. In order to study the inference problem we use the Metropolis-Hastings algorithm.This methodology is illustrated in a simulation study and it is applied to a set of observations concerning the returns of IBOVESPA values |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01T00:00:00Z 2010 2011-11-28T12:49:53Z |
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/10773/4426 |
url |
http://hdl.handle.net/10773/4426 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0975-556X |
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 |
CESER Publications |
publisher.none.fl_str_mv |
CESER Publications |
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 |
_version_ |
1817543409027514368 |