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Interacting Particle Systems for Systemic Risk

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<strong>Systemic</strong> <strong>Risk</strong>: Motivation Stochastic Model Simulating <strong>Systemic</strong> Shocks Examples of Rare EventsAlgorithm DetailsSufficient to have just a few hundred particles.The crux of the method is in choosing a good potential G k (inparticular the potential strength α) – must be adapted to theproblem at hand.Resample <strong>for</strong> example every 1 period (in between use exactsimulation of the birth-and-death process N(t) and correspondingX (j) ), t k = k.By storing the path genealogies of the particles surviving at Thave access to (unbiased) conditional distribution of X(·) be<strong>for</strong>ethe shock (note: path degeneracy).The method dynamically twists the measure while keeping thesimulation part very simple.17Ludkovski<strong>Systemic</strong> <strong>Risk</strong>

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