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Asymmetry, realised volatility and stock return risk estimates

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Resumo:In this paper we estimate minimum capital risk requirements for short and long positions with three investment horizons, using the traditional GARCH model and two other GARCH-type models that incorporate the possibility of asymmetric responses of volatility to price changes. We also address the problem of the extremely high estimated persistence of the GARCH model to generate observed volatility patterns by including realised volatility as an explanatory variable into the model’s variance equation. The results suggest that the inclusion of realised volatility improves the GARCH forecastability as well as its ability to calculate accurate minimum capital risk requirements and makes it quite competitive when compared with asymmetric conditional heteroscedastic models such as the GJR and the EGARCH.
Autores principais:Grané, Aurea
Outros Autores:Veiga, Helena
Assunto:Asymmetry High-frequency data Minimum capital risk requirements Realised volatility
Ano:2012
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
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author Grané, Aurea
author2 Veiga, Helena
author2_role author
author_facet Grané, Aurea
Veiga, Helena
author_role author
contributor_name_str_mv Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_txt [{\"Person.name\":\"Grané, Aurea\"},{\"Person.name\":\"Veiga, Helena\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Grané, Aurea
Veiga, Helena
datacite.date.Accepted.fl_str_mv 2012-08-01T00:00:00Z
datacite.date.available.fl_str_mv 2018-06-21T14:46:22Z
datacite.date.embargoed.fl_str_mv 2018-06-21T14:46:22Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Asymmetry
High-frequency data
Minimum capital risk requirements
Realised volatility
datacite.titles.title.fl_str_mv Asymmetry, realised volatility and stock return risk estimates
dc.contributor.none.fl_str_mv Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Grané, Aurea
Veiga, Helena
dc.date.Accepted.fl_str_mv 2012-08-01T00:00:00Z
dc.date.available.fl_str_mv 2018-06-21T14:46:22Z
dc.date.embargoed.fl_str_mv 2018-06-21T14:46:22Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.5/15684
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Springer Verlag
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Asymmetry
High-frequency data
Minimum capital risk requirements
Realised volatility
dc.title.fl_str_mv Asymmetry, realised volatility and stock return risk estimates
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description In this paper we estimate minimum capital risk requirements for short and long positions with three investment horizons, using the traditional GARCH model and two other GARCH-type models that incorporate the possibility of asymmetric responses of volatility to price changes. We also address the problem of the extremely high estimated persistence of the GARCH model to generate observed volatility patterns by including realised volatility as an explanatory variable into the model’s variance equation. The results suggest that the inclusion of realised volatility improves the GARCH forecastability as well as its ability to calculate accurate minimum capital risk requirements and makes it quite competitive when compared with asymmetric conditional heteroscedastic models such as the GJR and the EGARCH.
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eu_rights_str_mv restrictedAccess
format article
fulltext.url.fl_str_mv https://repositorio.ulisboa.pt/bitstreams/cc78174e-08b2-4866-af14-adb09b3d3836/download
id ul_fc0f5ee2cd2b836b3975c86e324f8f1e
identifier.url.fl_str_mv http://hdl.handle.net/10400.5/15684
instacron_str ul
institution Universidade de Lisboa
instname_str Universidade de Lisboa
language eng
network_acronym_str ul
network_name_str Repositório da Universidade de Lisboa
oai_identifier_str oai:repositorio.ulisboa.pt:10400.5/15684
organization_str_mv urn:organizationAcronym:ul
person_str_mv Grané, Aurea
Veiga, Helena
publishDate 2012
publisher.none.fl_str_mv Springer Verlag
reponame_str Repositório da Universidade de Lisboa
repository_id_str urn:repositoryAcronym:ul
service_str_mv urn:repositoryAcronym:ul
spelling engSpringer Verlagpt_PTIn this paper we estimate minimum capital risk requirements for short and long positions with three investment horizons, using the traditional GARCH model and two other GARCH-type models that incorporate the possibility of asymmetric responses of volatility to price changes. We also address the problem of the extremely high estimated persistence of the GARCH model to generate observed volatility patterns by including realised volatility as an explanatory variable into the model’s variance equation. The results suggest that the inclusion of realised volatility improves the GARCH forecastability as well as its ability to calculate accurate minimum capital risk requirements and makes it quite competitive when compared with asymmetric conditional heteroscedastic models such as the GJR and the EGARCH.application/pdfpt_PTAsymmetry, realised volatility and stock return risk estimatesGrané, AureaVeiga, HelenaHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISSNIsPartOf1617-982X (print)ISSNIsPartOf1617-9838 (online)DOIIsPartOf10.1007/s10258-012-0081-82018-06-21T14:46:22Z2012-082012-08-01T00:00:00ZHandlehttp://hdl.handle.net/10400.5/15684http://purl.org/coar/access_right/c_16ecrestricted accessAsymmetryHigh-frequency dataMinimum capital risk requirementsRealised volatility432711 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/cc78174e-08b2-4866-af14-adb09b3d3836/downloadPortuguese Economic Journal112147164Lisboa
spellingShingle Asymmetry, realised volatility and stock return risk estimates
Grané, Aurea
Asymmetry
High-frequency data
Minimum capital risk requirements
Realised volatility
status SINGLETON
subject.fl_str_mv Asymmetry
High-frequency data
Minimum capital risk requirements
Realised volatility
title Asymmetry, realised volatility and stock return risk estimates
title_full Asymmetry, realised volatility and stock return risk estimates
title_fullStr Asymmetry, realised volatility and stock return risk estimates
title_full_unstemmed Asymmetry, realised volatility and stock return risk estimates
title_short Asymmetry, realised volatility and stock return risk estimates
title_sort Asymmetry, realised volatility and stock return risk estimates
topic Asymmetry
High-frequency data
Minimum capital risk requirements
Realised volatility
topic_facet Asymmetry
High-frequency data
Minimum capital risk requirements
Realised volatility
url http://hdl.handle.net/10400.5/15684
visible 1