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Utility valuation of multi-name credit derivatives and application to CDOs
Authors:Ronnie Sircar  Thaleia Zariphopoulou
Institution:1. ORFE Department , Princeton University , Sherrerd Hall, Princeton , NJ 08544 , USA sircar@princeton.edu;3. Departments of Mathematics and Information, Risk and Operations Management , The University of Texas at Austin , Austin , TX 78712 , USA
Abstract:We study the impact of risk-aversion on the valuation of credit derivatives. Using the technology of utility-indifference pricing in intensity-based models of default risk, we analyse resulting yield spreads in multi-name credit derivatives, particularly CDOs. We study first the idealized problem with constant intensities where solutions are essentially explicit. We also give the large portfolio asymptotics for this problem. We then analyse the case where the firms have stochastic default intensities driven by a common factor, which can be viewed as another extreme from the independent case. This involves the numerical solution of a system of reaction-diffusion PDEs. We observe that the nonlinearity of the utility-indifference valuation mechanism enhances the effective correlation between the times of the credit events of the various firms leading to non-trivial senior tranche spreads, as often seen from market data.
Keywords:Applications to credit risk  Applications to default risk  Applied mathematical finance  Utility indifference  Continuous time finance  Pricing with utility based preferences  Pricing of derivatives securities  Control of stochastic systems
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