基于行业特性的多元系统风险因子CreditRisk+模型
首发时间:2008-09-18
摘要:本文提出了基于行业特性的多元系统风险因子CreditRisk+模型。行业风险因子之间相互独立的假设是原CreditRisk+模型的明显缺陷,随后对其进行修正的单因子模型、复合Gamma CreditRisk+模型和两阶段CreditRisk+模型仍存在问题。本文在引入多元系统风险因子的基础上,将行业风险因子的形参数表示为系统风险因子的线性组合与反映该行业风险因子内在特性的参数之积,对原CreditRisk+模型做了质的拓展,使得拓展后的基于行业特性的多元系统风险因子CreditRisk+模型解决了两阶段CreditRisk+模型忽视了行业风险因子自身特性这一关键问题,将系统和行业两重风险因子有机地结合起来;新CreditRisk+模型能够将一般情形的行业风险因子协方差矩阵纳入该模型框架内,从而克服了复合Gamma CreditRisk+模型要求行业风险因子之间的协方差必须相等的重大缺陷。本文证明了原CreditRisk+模型、复合Gamma CreditRisk+模型和两阶段CreditRisk+模型都只是新CreditRisk+模型的极端情形,这些情形难以将行业风险因子协方差矩阵很好地纳入模型框架内,从而会影响非预期损失计算的精度。
关键词: CreditRisk+模型 违约相关性 行业特性 多元系统风险因子
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Multi-system Risk Factors CreditRisk+ Model Based on Sector Character
Abstract:We proposed the multi-system risk factors CreditRisk+ model that based on character of different sectors. The assuption that independence between different sector risk factors is an obvious drawback of the original CreditRisk+ model. The amened model such as the single factor model, the compound gamma CreditRisk+ model and the two stage CreditRisk+ model still have their own problems. In this paper, we introduced multi-system risk factors, and denoted the shape parameter of sector risk factor by linear combination of systematic risk factors multiples a parameter that reflects inner character of sector risk factor, that is a qualitative expansion to CreditRisk+ model. The developed model overcame the problem that inner character of sector risk factor is neglected in two-stage CreditRisk+ model, and derived compatible combination of two-fold systematic and sector risk factors. The new CreditRisk+ model can adopt general covariance matrix of sector risk factors into the framework of the model, thus overcame the prominent drawback that covariances between different sector risk factors are required to be equal in the compound Gamma CreditRisk+ model. We proved in this paper that all those original CreditRisk+ model, compound Gamma CreditRisk+ model and two-stage CreditRisk+ model are just exetreme situations of the new model, and in those extreme situations the covariance matrix of sector risk factors can not be adopted into those models properly, thus will influence the accuracy for calculating unexpected loss.
Keywords: CreditRisk+ model default correlation sector character multi-system risk factors
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