Measuring performance in the portuguese banking industry with a fourier regression model

Detalhes bibliográficos
Autor(a) principal: Barros, Carlos Pestana
Data de Publicação: 2011
Outros Autores: Borges, Maria Rosa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/10104
Resumo: This article analyses the determinants of banks’ profitability in the Portuguese banking sector during the period 1990 to 2005. The study extends the established literature on modelling the banks’ performance by applying a Fourier approximation in order to detect for possible nonlinearities between the profitability variables and the explanatory variables. In so doing, we verify that the introduction of the Fourier coefficients in the analysis quite improved the quality of the adjustments, the need to accept the existence of nonlinear relationships among the variables involved in the study thus becoming evident. The results of this article suggest that the best performing banks in the Portuguese banking sector are those which have endeavoured to improve their capital and labour productivity, those which have maintained a high dimension and, finally, those which have been able to reinforce their capital structure.
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spelling Measuring performance in the portuguese banking industry with a fourier regression modelThis article analyses the determinants of banks’ profitability in the Portuguese banking sector during the period 1990 to 2005. The study extends the established literature on modelling the banks’ performance by applying a Fourier approximation in order to detect for possible nonlinearities between the profitability variables and the explanatory variables. In so doing, we verify that the introduction of the Fourier coefficients in the analysis quite improved the quality of the adjustments, the need to accept the existence of nonlinear relationships among the variables involved in the study thus becoming evident. The results of this article suggest that the best performing banks in the Portuguese banking sector are those which have endeavoured to improve their capital and labour productivity, those which have maintained a high dimension and, finally, those which have been able to reinforce their capital structure.RoutledgeRepositório da Universidade de LisboaBarros, Carlos PestanaBorges, Maria Rosa2015-11-10T13:11:29Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/10104engBarros, Carlos Pestana e Maria Rosa Borges (2011). "Measuring performance in the portuguese banking industry with a fourier regression model". Applied Economics Letters, 18:21-281466–429110.1080/13504850903409755info: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:RCAAP2023-03-06T14:40:28Zoai:www.repository.utl.pt:10400.5/10104Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:56:36.771116Repositório 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 Measuring performance in the portuguese banking industry with a fourier regression model
title Measuring performance in the portuguese banking industry with a fourier regression model
spellingShingle Measuring performance in the portuguese banking industry with a fourier regression model
Barros, Carlos Pestana
title_short Measuring performance in the portuguese banking industry with a fourier regression model
title_full Measuring performance in the portuguese banking industry with a fourier regression model
title_fullStr Measuring performance in the portuguese banking industry with a fourier regression model
title_full_unstemmed Measuring performance in the portuguese banking industry with a fourier regression model
title_sort Measuring performance in the portuguese banking industry with a fourier regression model
author Barros, Carlos Pestana
author_facet Barros, Carlos Pestana
Borges, Maria Rosa
author_role author
author2 Borges, Maria Rosa
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Barros, Carlos Pestana
Borges, Maria Rosa
description This article analyses the determinants of banks’ profitability in the Portuguese banking sector during the period 1990 to 2005. The study extends the established literature on modelling the banks’ performance by applying a Fourier approximation in order to detect for possible nonlinearities between the profitability variables and the explanatory variables. In so doing, we verify that the introduction of the Fourier coefficients in the analysis quite improved the quality of the adjustments, the need to accept the existence of nonlinear relationships among the variables involved in the study thus becoming evident. The results of this article suggest that the best performing banks in the Portuguese banking sector are those which have endeavoured to improve their capital and labour productivity, those which have maintained a high dimension and, finally, those which have been able to reinforce their capital structure.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2015-11-10T13:11:29Z
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/10400.5/10104
url http://hdl.handle.net/10400.5/10104
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Barros, Carlos Pestana e Maria Rosa Borges (2011). "Measuring performance in the portuguese banking industry with a fourier regression model". Applied Economics Letters, 18:21-28
1466–4291
10.1080/13504850903409755
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Routledge
publisher.none.fl_str_mv Routledge
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