Portfolio choice with high frequency data: CRRA preferences and the liquidity effect

Detalhes bibliográficos
Autor(a) principal: Brito, R. P.
Data de Publicação: 2017
Outros Autores: Sebastião, H., Godinho, P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/45743
https://doi.org/10.1007/s10258-017-0131-3
Resumo: This paper suggests a new approach for portfolio choice. In this framework, the investor, with CRRA preferences, has two objectives: the maximization of the expected utility and the minimization of the portfolio expected illiquidity. The CRRA utility is measured using the portfolio realized volatility, realized skewness and realized kurtosis, while the portfolio illiquidity is measured using the well-known Amihud illiquidity ratio. Therefore, the investor is able to make her choices directly in the expected utility/liquidity (EU/L) bi-dimensional space. We conduct an empirical analysis in a set of fourteen stocks of the CAC 40 stock market index, using high frequency data for the time span from January 1999 to December 2005 (seven years). The robustness of the proposed model is checked according to the out-of-sample performance of different EU/L portfolios relative to the minimum variance and equally weighted portfolios. For different risk aversion levels, the EU/L portfolios are quite competitive and in several cases consistently outperform those benchmarks, in terms of utility, liquidity and certainty equivalent.
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spelling Portfolio choice with high frequency data: CRRA preferences and the liquidity effectPortfolio choiceHigh frequency dataRealized momentsAmihud illiquidity ratioCRRA preferencesThis paper suggests a new approach for portfolio choice. In this framework, the investor, with CRRA preferences, has two objectives: the maximization of the expected utility and the minimization of the portfolio expected illiquidity. The CRRA utility is measured using the portfolio realized volatility, realized skewness and realized kurtosis, while the portfolio illiquidity is measured using the well-known Amihud illiquidity ratio. Therefore, the investor is able to make her choices directly in the expected utility/liquidity (EU/L) bi-dimensional space. We conduct an empirical analysis in a set of fourteen stocks of the CAC 40 stock market index, using high frequency data for the time span from January 1999 to December 2005 (seven years). The robustness of the proposed model is checked according to the out-of-sample performance of different EU/L portfolios relative to the minimum variance and equally weighted portfolios. For different risk aversion levels, the EU/L portfolios are quite competitive and in several cases consistently outperform those benchmarks, in terms of utility, liquidity and certainty equivalent.Support for R. P. Brito was provided by FCT under the scholarship SFRH/BD/94778/2013.Springer Verlag2017-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/45743http://hdl.handle.net/10316/45743https://doi.org/10.1007/s10258-017-0131-3eng1617-982Xhttp://dx.doi.org/10.1007/s10258-017-0131-3Brito, R. P.Sebastião, H.Godinho, P.info: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:RCAAP2021-09-01T11:01:40Zoai:estudogeral.uc.pt:10316/45743Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:49:50.879606Repositório 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 Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
title Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
spellingShingle Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
Brito, R. P.
Portfolio choice
High frequency data
Realized moments
Amihud illiquidity ratio
CRRA preferences
title_short Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
title_full Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
title_fullStr Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
title_full_unstemmed Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
title_sort Portfolio choice with high frequency data: CRRA preferences and the liquidity effect
author Brito, R. P.
author_facet Brito, R. P.
Sebastião, H.
Godinho, P.
author_role author
author2 Sebastião, H.
Godinho, P.
author2_role author
author
dc.contributor.author.fl_str_mv Brito, R. P.
Sebastião, H.
Godinho, P.
dc.subject.por.fl_str_mv Portfolio choice
High frequency data
Realized moments
Amihud illiquidity ratio
CRRA preferences
topic Portfolio choice
High frequency data
Realized moments
Amihud illiquidity ratio
CRRA preferences
description This paper suggests a new approach for portfolio choice. In this framework, the investor, with CRRA preferences, has two objectives: the maximization of the expected utility and the minimization of the portfolio expected illiquidity. The CRRA utility is measured using the portfolio realized volatility, realized skewness and realized kurtosis, while the portfolio illiquidity is measured using the well-known Amihud illiquidity ratio. Therefore, the investor is able to make her choices directly in the expected utility/liquidity (EU/L) bi-dimensional space. We conduct an empirical analysis in a set of fourteen stocks of the CAC 40 stock market index, using high frequency data for the time span from January 1999 to December 2005 (seven years). The robustness of the proposed model is checked according to the out-of-sample performance of different EU/L portfolios relative to the minimum variance and equally weighted portfolios. For different risk aversion levels, the EU/L portfolios are quite competitive and in several cases consistently outperform those benchmarks, in terms of utility, liquidity and certainty equivalent.
publishDate 2017
dc.date.none.fl_str_mv 2017-08
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/45743
http://hdl.handle.net/10316/45743
https://doi.org/10.1007/s10258-017-0131-3
url http://hdl.handle.net/10316/45743
https://doi.org/10.1007/s10258-017-0131-3
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1617-982X
http://dx.doi.org/10.1007/s10258-017-0131-3
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dc.publisher.none.fl_str_mv Springer Verlag
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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