Phase-type Approximations to Finite-time Ruin Probabilities in the Sparre-Andersen and Stationary Renewal Risk Models

Author:

Stanford D.A.,Avram F.,Badescu A.L.,Breuer L.,Silva Soares A. Da,Latouche G.

Abstract

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.

Publisher

Cambridge University Press (CUP)

Subject

Economics and Econometrics,Finance,Accounting

Reference19 articles.

1. Stochastic Processes for Insurance & Finance

2. On the Distribution of the Deficit at Ruin when Claims are Phase-type

3. Introduction to Matrix Analytic Methods in Stochastic Modeling

4. Badescu A. , Breuer L. , da Silva Soares A. , Latouche G. , Remiche M.-A. and Stan-Ford D.A. (2004) Risk Processes Analyzed as Fluid Queues. Scand. Act. J., posted on “prEview” site September 9, 2004. 16 pages.

5. FURTHER RESULTS ON THE SIMILARITY BETWEEN FLUID QUEUES AND QBDS

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