Modelling credit risk : evidence for EMV methodology on portuguese mortgage data

Detalhes bibliográficos
Autor(a) principal: Borges, Maria Rosa
Data de Publicação: 2020
Outros Autores: Machado, Raquel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/20884
Resumo: Traditional credit risk models failed during the recent financial crisis and revealed weaknesses in forecasting and stress testing procedures. One of the main reasons for this failure was the fact that they did not include lifecycle and macroeconomic adverse selection effects. The Exogenous-Maturity-Vintage (EMV) models emerged in this context, in the credit risk literature. In this article, we assess the applicability of the EMV models to a dataset consisting of Portuguese mortgage data between 2007 and 2017, to study the determinants of default rates. We obtain and examine the exogenous, maturity and vintage curves from the dataset under analysis, plotting defaults rates through time, under each of the three component’s logic (default rates by calendar period, by age and by vintage). We show that these curves follow the expected behavior. Finally, we identify a set of explanatory variables suitable to be incorporated in an EMV model specification, for forecasting purposes, and discuss the rationality for their inclusion in the model.
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spelling Modelling credit risk : evidence for EMV methodology on portuguese mortgage dataCredit RiskEMV ModelsMortgage LoansDefault RatesVintagesTraditional credit risk models failed during the recent financial crisis and revealed weaknesses in forecasting and stress testing procedures. One of the main reasons for this failure was the fact that they did not include lifecycle and macroeconomic adverse selection effects. The Exogenous-Maturity-Vintage (EMV) models emerged in this context, in the credit risk literature. In this article, we assess the applicability of the EMV models to a dataset consisting of Portuguese mortgage data between 2007 and 2017, to study the determinants of default rates. We obtain and examine the exogenous, maturity and vintage curves from the dataset under analysis, plotting defaults rates through time, under each of the three component’s logic (default rates by calendar period, by age and by vintage). We show that these curves follow the expected behavior. Finally, we identify a set of explanatory variables suitable to be incorporated in an EMV model specification, for forecasting purposes, and discuss the rationality for their inclusion in the model.ISEG – Departamento de EconomiaRepositório da Universidade de LisboaBorges, Maria RosaMachado, Raquel2021-01-25T14:08:31Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/20884engBorges, Maria Rosa e Raquel Machado .2020. "Modelling credit risk : evidence for EMV methodology on portuguese mortgage data". Instituto Superior de Economia e Gestão. DE Working papers nº 3/2020/DE/UECE2183-1815info: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:RCAAP2023-03-06T14:50:18Zoai:www.repository.utl.pt:10400.5/20884Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:05:34.013561Repositório 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 Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
title Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
spellingShingle Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
Borges, Maria Rosa
Credit Risk
EMV Models
Mortgage Loans
Default Rates
Vintages
title_short Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
title_full Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
title_fullStr Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
title_full_unstemmed Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
title_sort Modelling credit risk : evidence for EMV methodology on portuguese mortgage data
author Borges, Maria Rosa
author_facet Borges, Maria Rosa
Machado, Raquel
author_role author
author2 Machado, Raquel
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Borges, Maria Rosa
Machado, Raquel
dc.subject.por.fl_str_mv Credit Risk
EMV Models
Mortgage Loans
Default Rates
Vintages
topic Credit Risk
EMV Models
Mortgage Loans
Default Rates
Vintages
description Traditional credit risk models failed during the recent financial crisis and revealed weaknesses in forecasting and stress testing procedures. One of the main reasons for this failure was the fact that they did not include lifecycle and macroeconomic adverse selection effects. The Exogenous-Maturity-Vintage (EMV) models emerged in this context, in the credit risk literature. In this article, we assess the applicability of the EMV models to a dataset consisting of Portuguese mortgage data between 2007 and 2017, to study the determinants of default rates. We obtain and examine the exogenous, maturity and vintage curves from the dataset under analysis, plotting defaults rates through time, under each of the three component’s logic (default rates by calendar period, by age and by vintage). We show that these curves follow the expected behavior. Finally, we identify a set of explanatory variables suitable to be incorporated in an EMV model specification, for forecasting purposes, and discuss the rationality for their inclusion in the model.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-01-25T14:08:31Z
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/10400.5/20884
url http://hdl.handle.net/10400.5/20884
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Borges, Maria Rosa e Raquel Machado .2020. "Modelling credit risk : evidence for EMV methodology on portuguese mortgage data". Instituto Superior de Economia e Gestão. DE Working papers nº 3/2020/DE/UECE
2183-1815
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 ISEG – Departamento de Economia
publisher.none.fl_str_mv ISEG – Departamento de Economia
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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