PSI-20 portfolio efficiency analysis with SFA

Detalhes bibliográficos
Autor(a) principal: Ferreira, N. B.
Data de Publicação: 2014
Outros Autores: Souza, A., Souza, F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://ciencia.iscte-iul.pt/public/pub/id/19579
http://hdl.handle.net/10071/9565
Resumo: The determination of the study was to assess the technical efficiency of the individual companies and their respective groups of the Portuguese stock market. In order to achieve that were combined the input variables “market value and return” with exogenous variables such as “interest income," “depreciation," “cost of goods," “employees” and “net sales” in a Stochastic Frontier Analysis model. The technical efficiency of the PSI-20 enterprises index was estimated discovering the factors which assurance to efficiency variability, applying the SFA approach main improvement which lies in its potential to categorize between measurement error and systematic inefficiencies in the estimation process. The results revealed that the technical efficiency is higher for the enterprises in industry, construction and distribution economic sectors whereas the commercial banking sector has the lowest technical efficiency scores. The “employees” and “depreciation” variables are the elements that most enhance to the stock market inefficiency.
id RCAP_527333517e9cdc8ba8a6c5f5d54d8a53
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/9565
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling PSI-20 portfolio efficiency analysis with SFAStochastic frontier AnalysisEfficiencyStock marketsPSI-20The determination of the study was to assess the technical efficiency of the individual companies and their respective groups of the Portuguese stock market. In order to achieve that were combined the input variables “market value and return” with exogenous variables such as “interest income," “depreciation," “cost of goods," “employees” and “net sales” in a Stochastic Frontier Analysis model. The technical efficiency of the PSI-20 enterprises index was estimated discovering the factors which assurance to efficiency variability, applying the SFA approach main improvement which lies in its potential to categorize between measurement error and systematic inefficiencies in the estimation process. The results revealed that the technical efficiency is higher for the enterprises in industry, construction and distribution economic sectors whereas the commercial banking sector has the lowest technical efficiency scores. The “employees” and “depreciation” variables are the elements that most enhance to the stock market inefficiency.ExcelingTech Publisher, UK2015-08-05T11:17:55Z2014-01-01T00:00:00Z20142015-08-05T11:16:43Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/19579http://hdl.handle.net/10071/9565eng2047-0916Ferreira, N. B.Souza, A.Souza, F.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:RCAAP2023-11-09T17:55:30Zoai:repositorio.iscte-iul.pt:10071/9565Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:28:15.912123Repositório 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 PSI-20 portfolio efficiency analysis with SFA
title PSI-20 portfolio efficiency analysis with SFA
spellingShingle PSI-20 portfolio efficiency analysis with SFA
Ferreira, N. B.
Stochastic frontier Analysis
Efficiency
Stock markets
PSI-20
title_short PSI-20 portfolio efficiency analysis with SFA
title_full PSI-20 portfolio efficiency analysis with SFA
title_fullStr PSI-20 portfolio efficiency analysis with SFA
title_full_unstemmed PSI-20 portfolio efficiency analysis with SFA
title_sort PSI-20 portfolio efficiency analysis with SFA
author Ferreira, N. B.
author_facet Ferreira, N. B.
Souza, A.
Souza, F.
author_role author
author2 Souza, A.
Souza, F.
author2_role author
author
dc.contributor.author.fl_str_mv Ferreira, N. B.
Souza, A.
Souza, F.
dc.subject.por.fl_str_mv Stochastic frontier Analysis
Efficiency
Stock markets
PSI-20
topic Stochastic frontier Analysis
Efficiency
Stock markets
PSI-20
description The determination of the study was to assess the technical efficiency of the individual companies and their respective groups of the Portuguese stock market. In order to achieve that were combined the input variables “market value and return” with exogenous variables such as “interest income," “depreciation," “cost of goods," “employees” and “net sales” in a Stochastic Frontier Analysis model. The technical efficiency of the PSI-20 enterprises index was estimated discovering the factors which assurance to efficiency variability, applying the SFA approach main improvement which lies in its potential to categorize between measurement error and systematic inefficiencies in the estimation process. The results revealed that the technical efficiency is higher for the enterprises in industry, construction and distribution economic sectors whereas the commercial banking sector has the lowest technical efficiency scores. The “employees” and “depreciation” variables are the elements that most enhance to the stock market inefficiency.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2015-08-05T11:17:55Z
2015-08-05T11:16:43Z
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 https://ciencia.iscte-iul.pt/public/pub/id/19579
http://hdl.handle.net/10071/9565
url https://ciencia.iscte-iul.pt/public/pub/id/19579
http://hdl.handle.net/10071/9565
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2047-0916
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ExcelingTech Publisher, UK
publisher.none.fl_str_mv ExcelingTech Publisher, UK
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_ 1799134845350182912