Importance sampling for stochastic simulations
Management Science
Introduction to Rare Event Simulation
Introduction to Rare Event Simulation
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Let (X(t)) be a risk process with reserve-dependent premium rate, delayed claims and initial capital u. Consider a class of risk processes {(X 驴 (t)): 驴 0} derived from (X(t)) via scaling in a slow Markov walk sense, and let 驴_驴(u) be the corresponding ruin probability. In this paper we prove sample path large deviations for (X 驴 (t)) as 驴 驴 0. As a consequence, we give exact asymptotics for log 驴_驴(u) and we determine a most likely path leading to ruin. Finally, using importance sampling, we find an asymptotically efficient law for the simulation of 驴_驴(u).