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| Large Portfolio Losses: A dynamic contagion model by Paolo Dai Pra of the University of Padova, January 29, 2008 Abstract: Using particle system methodologies we study the propagation of financial distress in a network of firms facing credit risk. We investigate the phenomenon of a credit crisis and quantify the losses that a bank may suffer in a large credit portfolio. Applying a large deviation principle we compute the limiting distributions of the system and determine the time evolution of the credit quality indicators of the firms, deriving moreover the dynamics of a global financial health indicator. We finally describe a suitable version of the "central limit theorem" useful to study large portfolio losses. Simulation results are provided as well as applications to portfolio loss distribution analysis. Keywords: Credit contagion, credit crisis, interacting particle systems, Large Deviations, large portfolio losses, mean field interaction, non reversible Markov processes, phase transition. Books Referenced in this Paper: (what is this?) |
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