Efficient Cardinality/Mean-Variance Portfolios

Detalhes bibliográficos
Autor(a) principal: Brito, R. Pedro
Data de Publicação: 2014
Outros Autores: Vicente, Luís Nunes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/45700
https://doi.org/10.1007/978-3-662-45504-3_6
Resumo: We propose a novel approach to handle cardinality in portfolio selection, by means of a biobjective cardinality/mean-variance problem, allowing the investor to analyze the efficient tradeoff between return-risk and number of active positions. Recent progress in multiobjective optimization without derivatives allow us to robustly compute (in-sample) the whole cardinality/mean-variance efficient frontier, for a variety of data sets and mean-variance models. Our results show that a significant number of efficient cardinality/mean-variance portfolios can overcome (out-of-sample) the naive strategy, while keeping transaction costs relatively low.
id RCAP_1619743a335d72afa94f7244d526e998
oai_identifier_str oai:estudogeral.uc.pt:10316/45700
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Efficient Cardinality/Mean-Variance PortfoliosWe propose a novel approach to handle cardinality in portfolio selection, by means of a biobjective cardinality/mean-variance problem, allowing the investor to analyze the efficient tradeoff between return-risk and number of active positions. Recent progress in multiobjective optimization without derivatives allow us to robustly compute (in-sample) the whole cardinality/mean-variance efficient frontier, for a variety of data sets and mean-variance models. Our results show that a significant number of efficient cardinality/mean-variance portfolios can overcome (out-of-sample) the naive strategy, while keeping transaction costs relatively low.Springer, Berlin, Heidelberg2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/45700http://hdl.handle.net/10316/45700https://doi.org/10.1007/978-3-662-45504-3_6enghttps://doi.org/10.1007/978-3-662-45504-3_6Brito, R. PedroVicente, Luís Nunesinfo: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:RCAAP2020-05-25T12:14:34Zoai:estudogeral.uc.pt:10316/45700Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:32.228022Repositório 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 Efficient Cardinality/Mean-Variance Portfolios
title Efficient Cardinality/Mean-Variance Portfolios
spellingShingle Efficient Cardinality/Mean-Variance Portfolios
Brito, R. Pedro
title_short Efficient Cardinality/Mean-Variance Portfolios
title_full Efficient Cardinality/Mean-Variance Portfolios
title_fullStr Efficient Cardinality/Mean-Variance Portfolios
title_full_unstemmed Efficient Cardinality/Mean-Variance Portfolios
title_sort Efficient Cardinality/Mean-Variance Portfolios
author Brito, R. Pedro
author_facet Brito, R. Pedro
Vicente, Luís Nunes
author_role author
author2 Vicente, Luís Nunes
author2_role author
dc.contributor.author.fl_str_mv Brito, R. Pedro
Vicente, Luís Nunes
description We propose a novel approach to handle cardinality in portfolio selection, by means of a biobjective cardinality/mean-variance problem, allowing the investor to analyze the efficient tradeoff between return-risk and number of active positions. Recent progress in multiobjective optimization without derivatives allow us to robustly compute (in-sample) the whole cardinality/mean-variance efficient frontier, for a variety of data sets and mean-variance models. Our results show that a significant number of efficient cardinality/mean-variance portfolios can overcome (out-of-sample) the naive strategy, while keeping transaction costs relatively low.
publishDate 2014
dc.date.none.fl_str_mv 2014
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/10316/45700
http://hdl.handle.net/10316/45700
https://doi.org/10.1007/978-3-662-45504-3_6
url http://hdl.handle.net/10316/45700
https://doi.org/10.1007/978-3-662-45504-3_6
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://doi.org/10.1007/978-3-662-45504-3_6
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer, Berlin, Heidelberg
publisher.none.fl_str_mv Springer, Berlin, Heidelberg
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
_version_ 1799133822270308352