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.
CITATION STYLE
Medina, R. P., & Selva, M. L. M. (2013). Análise do credit scoring. RAE Revista de Administracao de Empresas, 53(3), 303–315. https://doi.org/10.1590/S0034-75902013000300007
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