Cluster-based Extension of the Generalized Poisson Loss Dynamics and Consistency with Single Names
by Damiano Brigo of Banca IMI,
January 12, 2007
Abstract: We extend the common Poisson shock framework reviewed for example in Lindskog and McNeil (2003) to a formulation avoiding repeated defaults, thus obtaining a model that can account consistently for single name default dynamics, cluster default dynamics and default counting process. This approach allows one to introduce significant dynamics, improving on the standard "bottom-up" approaches, and to achieve true consistency with single names, improving on most "top-down" loss models. Furthermore, the resulting GPCL model has important links with the previous GPL dynamical loss model in Brigo, Pallavicini and Torresetti (2006a,b), which we point out. Model extensions allowing for more articulated spread and recovery dynamics are hinted at. Calibration to both DJi-TRAXX and CDX index and tranche data across attachments and maturities shows that the GPCL model has the same calibration power as the GPL model while allowing for consistency with single names.
Keywords: Loss Distribution, Single Name Default Dynamics, Cluster Default Dynamics, Calibration, Generalized Poisson Processes, Common Poisson Shock Models.
Published as: International Journal of Theoretical and Applied Finance, Vol. 10, No. 4, (June 2007), pp. 607-631.
Previously titled: Default Correlation, Cluster Dynamics and Single Names: The GPCL Dynamical Loss Model