A Generic One Factor LÚvy Model for Pricing Synthetic CDOs
by Hansj÷rg Albrecher of the Radon Institute, Austrian Academy of Sciences, Linz & Graz University of Tech.
Abstract: The one-factor Gaussian model is well known not to fit the prices of the different tranches of a collateralized debt obligation (CDO) simultaneously, leading to the implied correlation smile. Recently, other one-factor models based on different distributions have been proposed. Moosbrucker used a one-factor Variance Gamma (VG) model, Kalemanova et al. and Guegan and Houdain worked with a normal inverse Gaussian (NIG) factor model, and Baxter introduced the Brownian variance-gamma (BVG) model. These models bring more flexibility into the dependence structure and allow tail dependence. We unify these approaches, describe a generic one-factor LÚvy model, and work out the large homogeneous portfolio (LHP) approximation. Then we discuss several examples and calibrate a battery of models to market data.
Keywords: LÚvy processes; collateralized debt obligation (CDO); credit risk; credit default; large homogeneous portfolio approximation.
This paper is republished as Ch.14 in...
Related reading: LÚvy Simple Structural Models