Name
Abstract | ||
|---|---|---|
The present paper studies the probability of ruin of an insurer, if excess of loss reinsurance with reinstatements is applied. In the setting of the classical Cramér–Lundberg risk model, piecewise deterministic Markov processes are used to describe the free surplus process in this more general situation. It is shown that the finite-time ruin probability is both the solution of a partial integro-differential equation and the fixed point of a contractive integral operator. We exploit the latter representation to develop and implement a recursive algorithm for numerical approximation of the ruin probability that involves high-dimensional integration. Furthermore we study the behavior of the finite-time ruin probability under various levels of initial surplus and security loadings and compare the efficiency of the numerical algorithm with the computational alternative of stochastic simulation of the risk process. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.amc.2011.02.109 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Reinsurance,Piecewise deterministic Markov process,Integral operator,Finite-time ruin probability,High-dimensional integration | Mathematical optimization,Markov process,Markov model,Mathematical analysis,Piecewise-deterministic Markov process,Stochastic process,Probability distribution,Ruin theory,First-hitting-time model,Mathematics,Piecewise | Journal |
Volume | Issue | ISSN |
217 | 20 | 0096-3003 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hansjörg Albrecher | 1 | 25 | 8.75 |
| Sandra Haas | 2 | 0 | 0.34 |