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| Affine Point Processes and Portfolio Credit Risk by Eymen Errais of Creditex, September 15, 2009 Abstract: This paper analyzes a family of multivariate point process models of correlated event timing whose arrival intensity is driven by an a ne jump diffusion. The components of an a ne point process are self- and cross-exciting, and facilitate the description of complex event dependence structures. Ordinary differential equations characterize the transform of an a ne point process and the probability distribution of an integer-valued a ne point process. The moments of an a ne 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, a ne jump diffusion, Hawkes process, transform, portfolio credit derivative, correlated default, index and tranche swap. Previously titled: Pricing Credit from the Top Down with Affine Point Processes Books Referenced in this Paper: (what is this?)
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