The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | BBR. Brazilian Business Review (English edition. Online) |
Texto Completo: | http://www.bbronline.com.br/index.php/bbr/article/view/187 |
Resumo: | The study assesses whether incorporating macroeconomic variables and attributes of the loan portfolio improves the specification of models designed to identify management discretion in making loan loss provisions by banks, considering the standards issued by regulatory agencies. The empirical tests confirm the consistency of the proposed model based on the expected signs of the explanatory variable’s parameters and their statistical significance. These results were confronted with those of other models found in the literature by comparing the models’ adjusted R2s, by applying Vuong’s (1989) model selection test, by using an F test for nested models, and by analyzing the persistence of the non-discretionary components of loan loss provisions, which shows that the incorporation of macroeconomic variables and attributes of the loan portfolio improves the empirical investigation of discretion practiced by banks. |
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BBR. Brazilian Business Review (English edition. Online) |
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The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banksO Papel de variáveis econômicas e atributos da carteira na estimação das provisões discricionárias para perdas em operações de crédito nos bancos brasileirosLoan loss provisiondiscretionbanksearnings managementBrazilProvisões para créditos de liquidação duvidosadiscricionariedadebancosgerenciamento de resultadosBrasilThe study assesses whether incorporating macroeconomic variables and attributes of the loan portfolio improves the specification of models designed to identify management discretion in making loan loss provisions by banks, considering the standards issued by regulatory agencies. The empirical tests confirm the consistency of the proposed model based on the expected signs of the explanatory variable’s parameters and their statistical significance. These results were confronted with those of other models found in the literature by comparing the models’ adjusted R2s, by applying Vuong’s (1989) model selection test, by using an F test for nested models, and by analyzing the persistence of the non-discretionary components of loan loss provisions, which shows that the incorporation of macroeconomic variables and attributes of the loan portfolio improves the empirical investigation of discretion practiced by banks.O estudo avalia se a incorporação de variáveis macroeconômicas e atributos da carteira de crédito melhoram a especificação de modelos criados para identificar a discricionariedade da gestão na realização de provisões para perdas em operações de crédito por parte dos bancos, considerando os padrões emitidos pelos órgãos reguladores. Testes empíricos confirmam a consistência do modelo proposto com base nos sinais esperados dos parâmetros das variáveis explanatórias e sua significância estatística. Esses resultados foram confrontados com os de outros modelos encontrados na literatura, por meio da comparação dos R2s ajustados dos modelos, pela aplicação do teste de seleção de modelo de Vuong (1989), pelo uso de um teste F para modelos aninhados e pela análise da persistência dos componentes não discricionários das provisões para perdas em operações de crédito, ficando demonstrado que a incorporação das variáveis macroeconômicas e atributos da carteira de crédito melhoram a investigação empírica das discricionariedades praticadas pelos bancos.FUCAPE Business Shool2013-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleArtigo revisado pelos paresapplication/pdfapplication/pdfhttp://www.bbronline.com.br/index.php/bbr/article/view/18710.15728/bbr.2013.10.4.3Brazilian Business Review; Vol. 10 No. 4 (2013): October to December 2013; 65-90Brazilian Business Review; v. 10 n. 4 (2013): Outubro a Dezembro de 2013; 65-901808-23861807-734Xreponame:BBR. Brazilian Business Review (English edition. Online)instname:Fucape Business School (FBS)instacron:FBSengporhttp://www.bbronline.com.br/index.php/bbr/article/view/187/284http://www.bbronline.com.br/index.php/bbr/article/view/187/285Dantas, José AlvesMedeiros, Otavio Ribeiro deLustosa, Paulo Roberto Barbosainfo:eu-repo/semantics/openAccess2018-11-06T19:51:36Zoai:ojs.pkp.sfu.ca:article/187Revistahttps://www.bbronline.com.br/index.php/bbr/indexONGhttp://www.bbronline.com.br/index.php/bbr/oai|| bbronline@bbronline.com.br1808-23861808-2386opendoar:2018-11-06T19:51:36BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS)false |
dc.title.none.fl_str_mv |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks O Papel de variáveis econômicas e atributos da carteira na estimação das provisões discricionárias para perdas em operações de crédito nos bancos brasileiros |
title |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks |
spellingShingle |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks Dantas, José Alves Loan loss provision discretion banks earnings management Brazil Provisões para créditos de liquidação duvidosa discricionariedade bancos gerenciamento de resultados Brasil |
title_short |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks |
title_full |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks |
title_fullStr |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks |
title_full_unstemmed |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks |
title_sort |
The Role of economic variables and credit portfolio attributes for estimating discretionary loan loss provisions in Brazilian banks |
author |
Dantas, José Alves |
author_facet |
Dantas, José Alves Medeiros, Otavio Ribeiro de Lustosa, Paulo Roberto Barbosa |
author_role |
author |
author2 |
Medeiros, Otavio Ribeiro de Lustosa, Paulo Roberto Barbosa |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Dantas, José Alves Medeiros, Otavio Ribeiro de Lustosa, Paulo Roberto Barbosa |
dc.subject.por.fl_str_mv |
Loan loss provision discretion banks earnings management Brazil Provisões para créditos de liquidação duvidosa discricionariedade bancos gerenciamento de resultados Brasil |
topic |
Loan loss provision discretion banks earnings management Brazil Provisões para créditos de liquidação duvidosa discricionariedade bancos gerenciamento de resultados Brasil |
description |
The study assesses whether incorporating macroeconomic variables and attributes of the loan portfolio improves the specification of models designed to identify management discretion in making loan loss provisions by banks, considering the standards issued by regulatory agencies. The empirical tests confirm the consistency of the proposed model based on the expected signs of the explanatory variable’s parameters and their statistical significance. These results were confronted with those of other models found in the literature by comparing the models’ adjusted R2s, by applying Vuong’s (1989) model selection test, by using an F test for nested models, and by analyzing the persistence of the non-discretionary components of loan loss provisions, which shows that the incorporation of macroeconomic variables and attributes of the loan portfolio improves the empirical investigation of discretion practiced by banks. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Artigo revisado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.bbronline.com.br/index.php/bbr/article/view/187 10.15728/bbr.2013.10.4.3 |
url |
http://www.bbronline.com.br/index.php/bbr/article/view/187 |
identifier_str_mv |
10.15728/bbr.2013.10.4.3 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
http://www.bbronline.com.br/index.php/bbr/article/view/187/284 http://www.bbronline.com.br/index.php/bbr/article/view/187/285 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
FUCAPE Business Shool |
publisher.none.fl_str_mv |
FUCAPE Business Shool |
dc.source.none.fl_str_mv |
Brazilian Business Review; Vol. 10 No. 4 (2013): October to December 2013; 65-90 Brazilian Business Review; v. 10 n. 4 (2013): Outubro a Dezembro de 2013; 65-90 1808-2386 1807-734X reponame:BBR. Brazilian Business Review (English edition. Online) instname:Fucape Business School (FBS) instacron:FBS |
instname_str |
Fucape Business School (FBS) |
instacron_str |
FBS |
institution |
FBS |
reponame_str |
BBR. Brazilian Business Review (English edition. Online) |
collection |
BBR. Brazilian Business Review (English edition. Online) |
repository.name.fl_str_mv |
BBR. Brazilian Business Review (English edition. Online) - Fucape Business School (FBS) |
repository.mail.fl_str_mv |
|| bbronline@bbronline.com.br |
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1754732237503332352 |