Bayesian smoothing for time-varying extremal dependence
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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/10362/164361 |
Resumo: | This work was supported by CIDMA (Universidade de Aveiro) and is funded by the Fundação para a Ciência e a Tecnologia, I.P. (FCT, Funder ID: 50110000187) under Grants https://doi. org/10.54499/UIDB/04106/2020 and https://doi.org/10.54499/UIDP/04106/2020. |
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Bayesian smoothing for time-varying extremal dependenceBayesian P-splinesAsymptotic (in)dependenceExtreme value theoryInternational equity marketsNon-stationary extremesTime-varying extremal dependenceThis work was supported by CIDMA (Universidade de Aveiro) and is funded by the Fundação para a Ciência e a Tecnologia, I.P. (FCT, Funder ID: 50110000187) under Grants https://doi. org/10.54499/UIDB/04106/2020 and https://doi.org/10.54499/UIDP/04106/2020.We propose a Bayesian time-varying model that learns about the dynamics governing joint extreme values over time. Our model relies on dual measures of time-varying extremal dependence, that are modelled via a suitable class of generalized linear models conditional on a large threshold. The simulation study indicates that the proposed methods perform well in a variety of scenarios. The application of the proposed methods to some of the world’s most important stock markets reveals complex patterns of extremal dependence over the last 30 years, including passages from asymptotic dependence to asymptotic independence.NOVA School of Business and Economics (NOVA SBE)RUNLee, JunhoCarvalho, Miguel deRua, AntónioAvila, Julio2024-03-02T00:26:37Z2024-02-142024-02-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article17application/pdfhttp://hdl.handle.net/10362/164361eng0035-9254PURE: 84411831https://doi.org/10.1093/jrsssc/qlae002info: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:RCAAP2024-03-11T05:52:06Zoai:run.unl.pt:10362/164361Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:09.573171Repositório 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 smoothing for time-varying extremal dependence |
title |
Bayesian smoothing for time-varying extremal dependence |
spellingShingle |
Bayesian smoothing for time-varying extremal dependence Lee, Junho Bayesian P-splines Asymptotic (in)dependence Extreme value theory International equity markets Non-stationary extremes Time-varying extremal dependence |
title_short |
Bayesian smoothing for time-varying extremal dependence |
title_full |
Bayesian smoothing for time-varying extremal dependence |
title_fullStr |
Bayesian smoothing for time-varying extremal dependence |
title_full_unstemmed |
Bayesian smoothing for time-varying extremal dependence |
title_sort |
Bayesian smoothing for time-varying extremal dependence |
author |
Lee, Junho |
author_facet |
Lee, Junho Carvalho, Miguel de Rua, António Avila, Julio |
author_role |
author |
author2 |
Carvalho, Miguel de Rua, António Avila, Julio |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
NOVA School of Business and Economics (NOVA SBE) RUN |
dc.contributor.author.fl_str_mv |
Lee, Junho Carvalho, Miguel de Rua, António Avila, Julio |
dc.subject.por.fl_str_mv |
Bayesian P-splines Asymptotic (in)dependence Extreme value theory International equity markets Non-stationary extremes Time-varying extremal dependence |
topic |
Bayesian P-splines Asymptotic (in)dependence Extreme value theory International equity markets Non-stationary extremes Time-varying extremal dependence |
description |
This work was supported by CIDMA (Universidade de Aveiro) and is funded by the Fundação para a Ciência e a Tecnologia, I.P. (FCT, Funder ID: 50110000187) under Grants https://doi. org/10.54499/UIDB/04106/2020 and https://doi.org/10.54499/UIDP/04106/2020. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-02T00:26:37Z 2024-02-14 2024-02-14T00:00:00Z |
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/10362/164361 |
url |
http://hdl.handle.net/10362/164361 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0035-9254 PURE: 84411831 https://doi.org/10.1093/jrsssc/qlae002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
17 application/pdf |
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 |
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1799138177708982272 |