29 Pages Posted: 14 Jun 2006 Last revised: 15 Jun 2010
Date Written: June 7, 2010
This paper analyzes a family of multivariate point process models of correlated event timing whose arrival intensity is driven by an affine jump diffusion. The components of an affine point process are self- and cross-exciting, and facilitate the description of complex event dependence structures. Ordinary differential equations characterize the transform of an affine point process and the probability distribution of an integer-valued affine point process. The moments of an affine point process take a closed form. This guarantees a high degree of computational tractability in applications. We illustrate this in the context of portfolio credit risk, where the correlation of corporate defaults is the main issue. We consider the valuation of securities exposed to correlated default risk, and demonstrate the significance of our results through market calibration experiments. We show that a simple model variant can capture the default clustering implied by index and tranche market prices during September 2008, a month that witnessed significant volatility.
Keywords: Self-exciting point process, affine jump diffusion, Hawkes process, transform, portfolio credit derivative, correlated default, index and tranche swap
JEL Classification: C00, C13, C14, C51, C53, G12, G13, G33
Suggested Citation: Suggested Citation
Errais, Eymen and Giesecke, Kay and Goldberg, Lisa R., Affine Point Processes and Portfolio Credit Risk (June 7, 2010). Available at SSRN: https://ssrn.com/abstract=908045 or http://dx.doi.org/10.2139/ssrn.908045