ANÁLISIS DEL CREDIT SCORING

The problem of unpaid bank debts is becoming increasingly important in developed countries. Many empirical works are being published in an attempt to find a model capable of determining as accurately as possible whether an individual requesting a loan will be able to pay it back. This paper analyses...

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Main Authors: Rosa Puertas Medina, Maria Luisa Martí Selva
Format: Article
Language:English
Published: Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo 2013-05-01
Series:RAE: Revista de Administração de Empresas
Subjects:
Online Access:http://rae.fgv.br/sites/rae.fgv.br/files/artigos/10.1590-0034-7590201300300007.pdf
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author Rosa Puertas Medina
Maria Luisa Martí Selva
author_facet Rosa Puertas Medina
Maria Luisa Martí Selva
author_sort Rosa Puertas Medina
collection DOAJ
description The problem of unpaid bank debts is becoming increasingly important in developed countries. Many empirical works are being published in an attempt to find a model capable of determining as accurately as possible whether an individual requesting a loan will be able to pay it back. This paper analyses the predicting capability of one non-parametric and two parametric models. As regards the former, the often-overlooked problem of overlearning is also tackled using the cross-validation technique. Furthermore, a three-level grading of loan applications is proposed depending on their likely performance: grant, refuse, or doubtful hence subject to manual consideration by bank staff.
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spelling doaj.art-f2662621fc6f4e1bb075136b464042e22023-09-02T19:55:43ZengFundação Getulio Vargas, Escola de Administração de Empresas de São PauloRAE: Revista de Administração de Empresas0034-75902178-938X2013-05-01533303315ANÁLISIS DEL CREDIT SCORINGRosa Puertas MedinaMaria Luisa Martí SelvaThe problem of unpaid bank debts is becoming increasingly important in developed countries. Many empirical works are being published in an attempt to find a model capable of determining as accurately as possible whether an individual requesting a loan will be able to pay it back. This paper analyses the predicting capability of one non-parametric and two parametric models. As regards the former, the often-overlooked problem of overlearning is also tackled using the cross-validation technique. Furthermore, a three-level grading of loan applications is proposed depending on their likely performance: grant, refuse, or doubtful hence subject to manual consideration by bank staff.http://rae.fgv.br/sites/rae.fgv.br/files/artigos/10.1590-0034-7590201300300007.pdfCredit scoringlogitdiscriminant analysisclassification treescross-validation
spellingShingle Rosa Puertas Medina
Maria Luisa Martí Selva
ANÁLISIS DEL CREDIT SCORING
RAE: Revista de Administração de Empresas
Credit scoring
logit
discriminant analysis
classification trees
cross-validation
title ANÁLISIS DEL CREDIT SCORING
title_full ANÁLISIS DEL CREDIT SCORING
title_fullStr ANÁLISIS DEL CREDIT SCORING
title_full_unstemmed ANÁLISIS DEL CREDIT SCORING
title_short ANÁLISIS DEL CREDIT SCORING
title_sort analisis del credit scoring
topic Credit scoring
logit
discriminant analysis
classification trees
cross-validation
url http://rae.fgv.br/sites/rae.fgv.br/files/artigos/10.1590-0034-7590201300300007.pdf
work_keys_str_mv AT rosapuertasmedina analisisdelcreditscoring
AT marialuisamartiselva analisisdelcreditscoring