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信用危机下可违约债券组合风险集成度量:基于三因子强度定价模型
引用本文:陈荣达,李文龙,何运信,包薇薇.信用危机下可违约债券组合风险集成度量:基于三因子强度定价模型[J].系统工程理论与实践,2015,35(3):567-577.
作者姓名:陈荣达  李文龙  何运信  包薇薇
作者单位:1. 浙江财经大学 金融学院, 杭州 310018;2. 浙江财经大学 财富管理与量化投资协同创新中心, 杭州 310018;3. 浙江省政府管制与公共政策研究中心, 杭州 310018;4. 中国农业发展银行 浙江省分行, 杭州 310004;5. 北京大学 经济学院, 北京 100871;6. 浙江财经大学 东方学院, 海宁 314408
基金项目:国家自然科学基金(71171176, 71471161, 71273224); 浙江省自然科学基金(LY12G03010)
摘    要:可违约债券一旦一个信用违约事件突发后,可导致一系列的可违约债券的相续违约,通过对可违约债券组合风险集成度量进行研究,为金融机构进行金融应急管理和科学决策提供理论依据,同时有利于金融机构完善金融系统在这方面应急处置机制.针对可违约债券组合中的信用-市场风险相关性和各债务人信用相关性,可从不同风险类型识别出的共同的风险驱动因子出发构建风险整合框架.假设债券的违约强度仿射地依赖于系统市场风险因子、系统信用风险因子、特质信用风险因子等组成的基础状态向量,推导出了基于三因子仿射强度的可违约债券价格,把可违约债券双因子强度定价模型拓展为三因子强度定价模型.在此基础上,建立了可违约债券组合风险集成度量的Monte Carlo方法,得出同一个风险计算期下反映市场风险和信用风险这两类风险的损失分布,进而能求得组合的VaR值,在同一个框架下同时捕捉可违约债券的两类风险.最后运用提出的基于三因子仿射强度的风险集成度量模型对短期融资券组合的风险进行数值计算,并与基于双因子仿射强度的风险集成度量模型得到的VaR值进行比较分析.

关 键 词:金融应急管理  可违约债券组合  风险集成度量  仿射过程  违约强度  VaR  
收稿时间:2013-08-26

Integrated risk measurement for defaultable bond portfolio based on three-factors intensity pricing model under credit crisis
CHEN Rong-da,LI Wen-long,HE Yun-xin,BAO Wei-wei.Integrated risk measurement for defaultable bond portfolio based on three-factors intensity pricing model under credit crisis[J].Systems Engineering —Theory & Practice,2015,35(3):567-577.
Authors:CHEN Rong-da  LI Wen-long  HE Yun-xin  BAO Wei-wei
Abstract:Defaultable bond is a bond that once an credit default event bursts out, a series of defaultable bonds may default consecutively. Through the study on the integrated risk measurement of defaultable bond portfolio, it would provide the theory basis of financial emergency management and scientific decision making for financial agents and is also beneficial for the improvement of financial system in the aspects of emergency disposal mechanism. To consider both the correlation between credit risk and market risk and the correlation of credit risk among obligors in portfolio, this paper constructs a risk integrated framework from common risk driving factors identified by different risk types. We assume default intensity is affine dependent on underlying state vector, including systematic market risk factors, systematic credit risk factors, idiosyncratic credit risk factors, so that we deduct defaultable bond price under the frame of three-factor affine intensity, and expand the two-factor intensity pricing model for defaultablebond to three-factor intensity price model. On the basis of above, we then propose a Monte Carlo Method of calculating integrated-risk for defaultable bonds portfolio, and give loss distribution which reflects credit risk and market risk in the same horizon, so that we can get VaR for portfolio and capture the two types of risks of the defaultable bond portfolio. Finally, we illustrate the application of the integrated-risk measurement model under the frame of three-factor affine intensity by computing the integrated-risk VaR of short-term commercial paper portfolio, and compare with the result gotten by two-factor affine intensity pricing model.
Keywords:financial emergency management  defaultable bond portfolio  integrated risk measurement  affine process  default intensity  VaR
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