Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector
Autor(a) principal: | |
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Data de Publicação: | 2023 |
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/10316/109521 https://doi.org/10.1016/j.iref.2023.10.025 |
Resumo: | The empirical literature on the determinants of banking spreads has considered banks as pro-viders of one single product. According to this approach, the study of the effect of bank spreads determinants has assumed that this effect is uniform across the different types of loans offered by banks. The present study assesses the hypothesis that banking spreads attrib-utes have a differentiated impact on spreads, according to the loan category. To this end, we adopt a dynamic model, estimated through System GMM on the basis of a dataset of interest spreads charged on three categories of personal loans in Brazil. Our results support the hy-pothesis of differentiated impacts according to loan category, and are corroborated by a ro-bustness check, carried out through Difference GMM estimation of the adopted model. Over-all, these findings also suggest that regulators should observe the composition of banks’ loans portfolios when designing and implementing policies aiming at banking spread reduction. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sectorBanking spread Determinants Personal loans Financial sectorThe empirical literature on the determinants of banking spreads has considered banks as pro-viders of one single product. According to this approach, the study of the effect of bank spreads determinants has assumed that this effect is uniform across the different types of loans offered by banks. The present study assesses the hypothesis that banking spreads attrib-utes have a differentiated impact on spreads, according to the loan category. To this end, we adopt a dynamic model, estimated through System GMM on the basis of a dataset of interest spreads charged on three categories of personal loans in Brazil. Our results support the hy-pothesis of differentiated impacts according to loan category, and are corroborated by a ro-bustness check, carried out through Difference GMM estimation of the adopted model. Over-all, these findings also suggest that regulators should observe the composition of banks’ loans portfolios when designing and implementing policies aiming at banking spread reduction.International Review of Economics & Finance2023-10-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/109521http://hdl.handle.net/10316/109521https://doi.org/10.1016/j.iref.2023.10.025eng10590560https://www.sciencedirect.com/science/article/pii/S1059056023003957?via%3DihubValente, JoséAugusto, MárioMurteira, José Maria Ruasinfo: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:RCAAP2023-10-18T15:35:00Zoai:estudogeral.uc.pt:10316/109521Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:25:42.274068Repositório 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 |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
title |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
spellingShingle |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector Valente, José Banking spread Determinants Personal loans Financial sector |
title_short |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
title_full |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
title_fullStr |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
title_full_unstemmed |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
title_sort |
Differentiated impact of spread determinants by personal loan category: Evidence from the Brazilian banking sector |
author |
Valente, José |
author_facet |
Valente, José Augusto, Mário Murteira, José Maria Ruas |
author_role |
author |
author2 |
Augusto, Mário Murteira, José Maria Ruas |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Valente, José Augusto, Mário Murteira, José Maria Ruas |
dc.subject.por.fl_str_mv |
Banking spread Determinants Personal loans Financial sector |
topic |
Banking spread Determinants Personal loans Financial sector |
description |
The empirical literature on the determinants of banking spreads has considered banks as pro-viders of one single product. According to this approach, the study of the effect of bank spreads determinants has assumed that this effect is uniform across the different types of loans offered by banks. The present study assesses the hypothesis that banking spreads attrib-utes have a differentiated impact on spreads, according to the loan category. To this end, we adopt a dynamic model, estimated through System GMM on the basis of a dataset of interest spreads charged on three categories of personal loans in Brazil. Our results support the hy-pothesis of differentiated impacts according to loan category, and are corroborated by a ro-bustness check, carried out through Difference GMM estimation of the adopted model. Over-all, these findings also suggest that regulators should observe the composition of banks’ loans portfolios when designing and implementing policies aiming at banking spread reduction. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10-17 |
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/10316/109521 http://hdl.handle.net/10316/109521 https://doi.org/10.1016/j.iref.2023.10.025 |
url |
http://hdl.handle.net/10316/109521 https://doi.org/10.1016/j.iref.2023.10.025 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10590560 https://www.sciencedirect.com/science/article/pii/S1059056023003957?via%3Dihub |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
International Review of Economics & Finance |
publisher.none.fl_str_mv |
International Review of Economics & 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 |
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1799134138921385984 |