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. © Institute of Mathematical Statistics, 2009.
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Pra, P. D., Runggaldier, W. J., Sartori, E., & Tolotti, M. (2009). Large portfolio losses: A dynamic contagion model. Annals of Applied Probability, 19(1), 347–394. https://doi.org/10.1214/08-AAP544