具有厚尾因素的动态多因素信用风险模型

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE
M. Šmíd, Petr Gapko
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引用次数: 13

摘要

提出了一种改进的多因素信用风险模型,该模型同时描述了违约率和违约损失。他们的方法是基于KMV模型,他们概括为三种方式。首先,它们添加了违约损失模型(LGD),其次,它们给模型带来了动态性,第三,它们允许风险因素的非正态分布。违约和LGD都是由共同因素和个人因素驱动的;个别因素是相互独立的,但作者允许任何形式的共同因素的依赖。他们以美国全国范围内的抵押贷款违约组合为样本,用VECM模型对共同因素的依赖性进行建模,并将结果与《巴塞尔协议II》(Basel II Accord)中描述的当前监管框架进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Multi-Factor Credit Risk Model with Fat-Tailed Factors
The authors introduce an improved multi-factor credit risk model describing simultaneously the default rate and the loss given default. Their methodology is based on the KMV model, which they generalize in three ways. First, they add a model for loss given default (LGD), second, they bring dynamics to the model, and third, they allow non-normal distributions of risk factors. Both the defaults and the LGD are driven by a common factor and an individual factor; the individual factors are mutually independent, but the authors allow any form of dependence of the common factors. They test their model on a nationwide portfolio of US mortgage delinquencies, modeling the dependence of the common factor by a VECM model, and compare their results with the current regulatory framework, which is described in the Basel II Accord.
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CiteScore
0.80
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