Conditioning information in mutual fund performance evaluation: Portuguese evidence
Autor(a) principal: | |
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Data de Publicação: | 2009 |
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/11110/591 |
Resumo: | We estimate and compare the performance of Portuguese-based mutual funds that invest in the domestic market and in the European market using unconditional and conditional models of performance evaluation. Besides applying both partial and full conditional models, we use European information variables, instead of the most common local ones, and consider stochastically detrended conditional variables in order to avoid spurious regressions. The results suggest that mutual fund managers are not able to outperform the market, presenting negative or neutral performance. The incorporation of conditioning information in performance evaluation models is supported by our findings, as it improves the explanatory power of the models and there is evidence of both time-varying betas and alphas related to the public information variables. It is also shown that the number of lags to be used in the stochastic detrending procedure is a critical choice, as it will impact the significance of the conditioning information. In addition, we observe a distance effect, since managers who invest locally seem to outperform those who invest in the European market. However, after controlling for public information, this effect is slightly reduced. Furthermore, the results suggest that survivorship bias has a small impact on performance estimates. |
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Conditioning information in mutual fund performance evaluation: Portuguese evidencemutual fundsconditional performance evaluationspurious regressionssurvivorship biasdistance effectWe estimate and compare the performance of Portuguese-based mutual funds that invest in the domestic market and in the European market using unconditional and conditional models of performance evaluation. Besides applying both partial and full conditional models, we use European information variables, instead of the most common local ones, and consider stochastically detrended conditional variables in order to avoid spurious regressions. The results suggest that mutual fund managers are not able to outperform the market, presenting negative or neutral performance. The incorporation of conditioning information in performance evaluation models is supported by our findings, as it improves the explanatory power of the models and there is evidence of both time-varying betas and alphas related to the public information variables. It is also shown that the number of lags to be used in the stochastic detrending procedure is a critical choice, as it will impact the significance of the conditioning information. In addition, we observe a distance effect, since managers who invest locally seem to outperform those who invest in the European market. However, after controlling for public information, this effect is slightly reduced. Furthermore, the results suggest that survivorship bias has a small impact on performance estimates.European Journal of Finance2014-01-14T16:36:47Z2009-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/11110/591oai:ciencipca.ipca.pt:11110/591engLeite, P., & M.C. Cortez, 2009, "Conditioning information in mutual fund performance evaluation: Portuguese evidence", European Journal of Finance, 15 (5-6), 585-605.1351-847Xhttp://hdl.handle.net/11110/591metadata only accessinfo:eu-repo/semantics/openAccessLeite, PauloCortez, Maria Céureponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T12:52:03Zoai:ciencipca.ipca.pt:11110/591Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:00:55.166176Repositório 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 |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
title |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
spellingShingle |
Conditioning information in mutual fund performance evaluation: Portuguese evidence Leite, Paulo mutual funds conditional performance evaluation spurious regressions survivorship bias distance effect |
title_short |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
title_full |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
title_fullStr |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
title_full_unstemmed |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
title_sort |
Conditioning information in mutual fund performance evaluation: Portuguese evidence |
author |
Leite, Paulo |
author_facet |
Leite, Paulo Cortez, Maria Céu |
author_role |
author |
author2 |
Cortez, Maria Céu |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Leite, Paulo Cortez, Maria Céu |
dc.subject.por.fl_str_mv |
mutual funds conditional performance evaluation spurious regressions survivorship bias distance effect |
topic |
mutual funds conditional performance evaluation spurious regressions survivorship bias distance effect |
description |
We estimate and compare the performance of Portuguese-based mutual funds that invest in the domestic market and in the European market using unconditional and conditional models of performance evaluation. Besides applying both partial and full conditional models, we use European information variables, instead of the most common local ones, and consider stochastically detrended conditional variables in order to avoid spurious regressions. The results suggest that mutual fund managers are not able to outperform the market, presenting negative or neutral performance. The incorporation of conditioning information in performance evaluation models is supported by our findings, as it improves the explanatory power of the models and there is evidence of both time-varying betas and alphas related to the public information variables. It is also shown that the number of lags to be used in the stochastic detrending procedure is a critical choice, as it will impact the significance of the conditioning information. In addition, we observe a distance effect, since managers who invest locally seem to outperform those who invest in the European market. However, after controlling for public information, this effect is slightly reduced. Furthermore, the results suggest that survivorship bias has a small impact on performance estimates. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-07-01T00:00:00Z 2014-01-14T16:36:47Z |
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/11110/591 oai:ciencipca.ipca.pt:11110/591 |
url |
http://hdl.handle.net/11110/591 |
identifier_str_mv |
oai:ciencipca.ipca.pt:11110/591 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Leite, P., & M.C. Cortez, 2009, "Conditioning information in mutual fund performance evaluation: Portuguese evidence", European Journal of Finance, 15 (5-6), 585-605. 1351-847X http://hdl.handle.net/11110/591 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
European Journal of Finance |
publisher.none.fl_str_mv |
European Journal of Finance |
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 |
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1799129878922002432 |