One-factor model for default rates by loan type

M. Božović
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引用次数: 1

Abstract

This paper investigates the link between default rates by loan types and the systemic credit risk component. This link is described by a linear model that combines systemic and idiosyncratic contributions. The systemic component is a latent factor that depends directly on the aggregate loan default rate, while the idiosyncratic component drives specific variations of default rates across loan types. By transforming observable risk measures, the model can be econometrically represented as a mixed-effects model, where the systemic and idiosyncratic components represent, respectively, the slope and the intercept that are specific for each loan type individually. The proposed model is illustrated on a panel of defaulted loans of the Association of Serbian Banks. The obtained results show the model's very high power in explaining average default rates for all loan types. Thus, the aggregate default rate plays the role of a unique systemic component that mimics the influence of fundamental macroeconomic risk factors easily, without the necessity to model this relationship explicitly.
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贷款类型违约率的单因素模型
本文研究了贷款类型违约率与系统性信用风险成分之间的关系。这种联系可以用一个结合了系统性和特殊性贡献的线性模型来描述。系统性成分是一个潜在因素,它直接依赖于贷款违约率的总和,而特质性成分驱动了不同贷款类型的违约率的具体变化。通过转换可观察的风险度量,该模型可以在计量经济学上表示为混合效应模型,其中系统成分和特质成分分别表示每种贷款类型特定的斜率和截距。塞尔维亚银行协会的一组违约贷款说明了所提出的模型。得到的结果表明,该模型在解释所有贷款类型的平均违约率方面具有很高的能力。因此,总违约率扮演了一个独特的系统组成部分的角色,它很容易模仿基本宏观经济风险因素的影响,而不需要明确地建立这种关系的模型。
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