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A class of risk processes with reserve-dependent premium rate: sample path large deviations and importance sampling
Authors:A Ganesh  C Macci  G L Torrisi
Institution:(1) Microsoft Research, 7 J J Thomson Avenue, Cambridge, CB3 0FB, UK;(2) Dipartimento di Matematica, Università degli Studi di Roma “Tor Vergata”, Via della Ricerca Scientifica, I-00133, Roma, Italia;(3) Istituto per le Applicazioni del Calcolo “Mauro Picone” (IAC), Consiglio Nazionale delle Ricerche (CNR), Viale del Policlinico 137, I-00161, Roma, Italia
Abstract: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 ε (t)): ε > 0} derived from (X(t)) via scaling in a slow Markov walk sense, and let Ψ_ε(u) be the corresponding ruin probability. In this paper we prove sample path large deviations for (X ε (t)) as ε → 0. As a consequence, we give exact asymptotics for log Ψ_ε(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 Ψ_ε(u). AMS Subject Classifications 60F10, 91B30 This work has been partially supported by Murst Project “Metodi Stocastici in Finanza Matematica”
Keywords:Importance sampling  Large deviations  Poisson shot noise  Risk processes  Ruin probabilities
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