Bao, Qunfang and Li, Shenghong and Liu, Guimei (2010): Survival Measures and Interacting Intensity Model: with Applications in Guaranteed Debt Pricing.
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This paper studies survival measures in credit risk models. Survival measure, which was first introduced by Schonbucher  in the framework of defaultable LMM, has the advantage of eliminating default indicator variable directly from the expectation by absorbing it into Randon-Nikodym density process. Survival measure approach was further extended by Collin-Duresne to avoid calculating a troublesome jump in IBPR reduced-form model. This paper considers survival measure in "HBPR" model, i.e. default time is characterized by Cox construction, and studies the relevant drift changes and martingale representations. This paper also takes advantage of survival measure to solve the looping default problem in interacting intensity model with stochastic intensities. Guaranteed debt is priced under this model, as an application of survival measure and interacting intensity model. Detailed numerical analysis is performed in this paper to study influence of stochastic pre-default intensities and contagion on value of a two firms' bilateral guaranteed debt portfolio.
|Item Type:||MPRA Paper|
|Original Title:||Survival Measures and Interacting Intensity Model: with Applications in Guaranteed Debt Pricing|
|English Title:||Survival measures and interacting intensity model: with applications in guaranteed debt pricing|
|Keywords:||Survival Measure, Interacting Intensity Model, Measure Change, Guaranteed Debt, Mitigation and Contagion.|
|Subjects:||G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing; Futures Pricing
|Depositing User:||Dr. Qunfang Bao|
|Date Deposited:||29. Dec 2010 00:29|
|Last Modified:||14. Feb 2013 09:09|
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