Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFSCAR |
Texto Completo: | https://repositorio.ufscar.br/handle/ufscar/11516 |
Resumo: | One of the most important informations in financial market is variability of an asset. Several models have been proposed in literature with a view of to evaluate this phenomenon. Among them we have the GARCH models. This paper use Hamiltonian Monte Carlo (HMC) methods for estimation of parameters univariate and multivariate GARCH models. Simulation studies are performed and the estimatives compared with Metropolis-Hastings methods of the BayesDcc- Garch package. Also, we compared the results of HMC method with the methodology present in rstan package. Finally, a application with real data is performed using bivariate DCC-GARCH and the methods of estimation HMC and Metropolis-Hastings. |
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Xavier, Cleber MartinsEhlers, Ricardo Sandeshttp://lattes.cnpq.br/4020997206928882Andrade Filho, Marinho Gomes dehttp://lattes.cnpq.br/4126245980112687http://lattes.cnpq.br/48133749241577016dabe2e6-4eff-49c7-81a4-2e2995c704482019-07-17T13:55:27Z2019-07-17T13:55:27Z2019-04-26XAVIER, Cleber Martins. Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH. 2019. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2019. Disponível em: https://repositorio.ufscar.br/handle/ufscar/11516.https://repositorio.ufscar.br/handle/ufscar/11516One of the most important informations in financial market is variability of an asset. Several models have been proposed in literature with a view of to evaluate this phenomenon. Among them we have the GARCH models. This paper use Hamiltonian Monte Carlo (HMC) methods for estimation of parameters univariate and multivariate GARCH models. Simulation studies are performed and the estimatives compared with Metropolis-Hastings methods of the BayesDcc- Garch package. Also, we compared the results of HMC method with the methodology present in rstan package. Finally, a application with real data is performed using bivariate DCC-GARCH and the methods of estimation HMC and Metropolis-Hastings.Uma das informações mais importantes no mercado financeiro é a variabilidade de um ativo. Diversos modelos foram propostos na literatura com o intuito de avaliar este fenômeno. Dentre eles podemos destacar os modelos GARCH. Este trabalho propõe o uso do método Monte Carlo Hamiltoniano (HMC) para a estimação dos parâmetros do modelo GARCH univariado e multivariado. Estudos de simulação são realizados e as estimativas comparadas com o método de estimação Metropolis-Hastings presente no pacote BayesDccGarch. Além disso, compara-se os resultados do método HMC com a metodologia adotada no pacote rstan. Por fim, é realizado uma aplicação a dados reais utilizando o DCC-GARCH bivariado e os métodos de estimação HMC e Metropolis-Hastings.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)CAPES: Código de Financiamento 001porUniversidade Federal de São CarlosCâmpus São CarlosPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsUFSCarVolatilidadeModelos GARCHMCMCMonte Carlo HamiltonianoVolatilityGARCH modelsHamiltonian Monte CarloCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::INFERENCIA PARAMETRICAMétodos de Monte Carlo Hamiltoniano aplicados em modelos GARCHHamiltonian Monte Carlo methods in GARCH modelsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisOnline6006003dbdbf82-45a6-4e75-b0c2-99c510672c97info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINALthesis-CleberXavierVersaoFinal.pdfthesis-CleberXavierVersaoFinal.pdfapplication/pdf16848152https://repositorio.ufscar.br/bitstream/ufscar/11516/1/thesis-CleberXavierVersaoFinal.pdf0718a773f3815f5cabd7c08730c5c34dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://repositorio.ufscar.br/bitstream/ufscar/11516/4/license.txtae0398b6f8b235e40ad82cba6c50031dMD54TEXTthesis-CleberXavierVersaoFinal.pdf.txtthesis-CleberXavierVersaoFinal.pdf.txtExtracted texttext/plain139639https://repositorio.ufscar.br/bitstream/ufscar/11516/5/thesis-CleberXavierVersaoFinal.pdf.txt38123b1ecd7d8c69c2bab2383c12097bMD55THUMBNAILthesis-CleberXavierVersaoFinal.pdf.jpgthesis-CleberXavierVersaoFinal.pdf.jpgIM Thumbnailimage/jpeg12074https://repositorio.ufscar.br/bitstream/ufscar/11516/6/thesis-CleberXavierVersaoFinal.pdf.jpgc5963bff29b2564f5a23c7a48187cb86MD56ufscar/115162023-09-18 18:31:48.531oai:repositorio.ufscar.br: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Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:31:48Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.por.fl_str_mv |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
dc.title.alternative.eng.fl_str_mv |
Hamiltonian Monte Carlo methods in GARCH models |
title |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
spellingShingle |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH Xavier, Cleber Martins Volatilidade Modelos GARCH MCMC Monte Carlo Hamiltoniano Volatility GARCH models Hamiltonian Monte Carlo CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::INFERENCIA PARAMETRICA |
title_short |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
title_full |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
title_fullStr |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
title_full_unstemmed |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
title_sort |
Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH |
author |
Xavier, Cleber Martins |
author_facet |
Xavier, Cleber Martins |
author_role |
author |
dc.contributor.authorlattes.por.fl_str_mv |
http://lattes.cnpq.br/4813374924157701 |
dc.contributor.author.fl_str_mv |
Xavier, Cleber Martins |
dc.contributor.advisor1.fl_str_mv |
Ehlers, Ricardo Sandes |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4020997206928882 |
dc.contributor.advisor-co1.fl_str_mv |
Andrade Filho, Marinho Gomes de |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/4126245980112687 |
dc.contributor.authorID.fl_str_mv |
6dabe2e6-4eff-49c7-81a4-2e2995c70448 |
contributor_str_mv |
Ehlers, Ricardo Sandes Andrade Filho, Marinho Gomes de |
dc.subject.por.fl_str_mv |
Volatilidade Modelos GARCH MCMC Monte Carlo Hamiltoniano |
topic |
Volatilidade Modelos GARCH MCMC Monte Carlo Hamiltoniano Volatility GARCH models Hamiltonian Monte Carlo CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::INFERENCIA PARAMETRICA |
dc.subject.eng.fl_str_mv |
Volatility GARCH models Hamiltonian Monte Carlo |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::INFERENCIA PARAMETRICA |
description |
One of the most important informations in financial market is variability of an asset. Several models have been proposed in literature with a view of to evaluate this phenomenon. Among them we have the GARCH models. This paper use Hamiltonian Monte Carlo (HMC) methods for estimation of parameters univariate and multivariate GARCH models. Simulation studies are performed and the estimatives compared with Metropolis-Hastings methods of the BayesDcc- Garch package. Also, we compared the results of HMC method with the methodology present in rstan package. Finally, a application with real data is performed using bivariate DCC-GARCH and the methods of estimation HMC and Metropolis-Hastings. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-07-17T13:55:27Z |
dc.date.available.fl_str_mv |
2019-07-17T13:55:27Z |
dc.date.issued.fl_str_mv |
2019-04-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
XAVIER, Cleber Martins. Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH. 2019. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2019. Disponível em: https://repositorio.ufscar.br/handle/ufscar/11516. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufscar.br/handle/ufscar/11516 |
identifier_str_mv |
XAVIER, Cleber Martins. Métodos de Monte Carlo Hamiltoniano aplicados em modelos GARCH. 2019. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2019. Disponível em: https://repositorio.ufscar.br/handle/ufscar/11516. |
url |
https://repositorio.ufscar.br/handle/ufscar/11516 |
dc.language.iso.fl_str_mv |
por |
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por |
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600 600 |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de São Carlos Câmpus São Carlos |
dc.publisher.program.fl_str_mv |
Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs |
dc.publisher.initials.fl_str_mv |
UFSCar |
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Universidade Federal de São Carlos Câmpus São Carlos |
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reponame:Repositório Institucional da UFSCAR instname:Universidade Federal de São Carlos (UFSCAR) instacron:UFSCAR |
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