Credit scoring with macroeconomic variables using survival analysis

被引:143
作者
Bellotti, T. [1 ]
Crook, J. [1 ]
机构
[1] Univ Edinburgh, Credit Res Ctr, Management Sch & Econ, Edinburgh EH89JY, Lothian, Scotland
基金
英国工程与自然科学研究理事会;
关键词
credit scoring; survival analysis; time-varying covariates; risk; banking; macroeconomic variables;
D O I
10.1057/jors.2008.130
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Survival analysis can be applied to build models for time to default on debt. In this paper, we report an application of survival analysis to model default on a large data set of credit card accounts. We explore the hypothesis that probability of default (PD) is affected by general conditions in the economy over time. These macroeconomic variables (MVs) cannot readily be included in logistic regression models. However, survival analysis provides a framework for their inclusion as time-varying covariates. Various MVs, such as interest rate and unemployment rate, are included in the analysis. We show that inclusion of these indicators improves model fit and affects PD yielding a modest improvement in predictions of default on an independent test set. Journal of the Operational Research Society (2009) 60, 1699-1707. doi:10.1057/jors.2008.130 Published online 10 December 2008
引用
收藏
页码:1699 / 1707
页数:9
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