Astin Bulletin · 2005 · 42 citations · 16 references
Natural SciencesFinanceMathematicsProbability TheoryStochastic ModelingStochastic ProcessesMarkov ProcessesRenewal ProcessesRenewal TheoryRisk TheoryAnalytic ApproximationsProbability Of RuinRenewal ModelsRenewal Process ModelsStationary Renewal Processes
The present paper extends the “Erlangization” idea introduced by Asmussen, Avram, and Usabel (2002) to the Sparre-Andersen and stationary renewal risk models. Erlangization yields an asymptotically-exact method for calculating finite time ruin probabilities with phase-type claim amounts. The method is based on finding the probability of ruin prior to a phase-type random horizon, independent of the risk process. When the horizon follows an Erlang- l distribution, the method provides a sequence of approximations that converges to the true finite-time ruin probability as l increases. Furthermore, the random horizon is easier to work with, so that very accurate probabilities of ruin are obtained with comparatively little computational effort. An additional section determines the phase-type form of the deficit at ruin in both models. Our work exploits the relationship to fluid queues to provide effective computational algorithms for the determination of these quantities, as demonstrated by the numerical examples.
16
Matrix-geometric solutions in stochastic models
Gian‐Carlo Rota · Advances in Mathematics · 1985 · 880 citations
Stochastic Processes for Insurance and Finance
Larry Y. Tzeng, Volker Schmidt, Hanspeter Schmidli et al. · Journal of Risk & Insurance · 2001 · 863 citations
Erlangian Approximations for Finite-Horizon Ruin Probabilities
Søren Asmussen, Florin Avram, Miguel Usábel · Astin Bulletin · 2002 · 129 citations · Full text
Recursive Calculation of Survival Probabilities
David Dickson, Howard R. Waters · Astin Bulletin · 1991 · 113 citations · Full text
Risk processes analyzed as fluid queues
Andrei L. Badescu, Lothar Breuer, Ana da Silva Soares et al. · Scandinavian Actuarial Journal · 2004 · 92 citations