Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5077162 | Insurance: Mathematics and Economics | 2008 | 8 Pages |
Abstract
This note discusses a simple quasi-Monte Carlo method to evaluate numerically the ultimate ruin probability in the classical compound Poisson risk model. The key point is the Pollaczek-Khintchine representation of the non-ruin probability as a series of convolutions. Our suggestion is to truncate the series at some appropriate level and to evaluate the remaining convolution integrals by quasi-Monte Carlo techniques. For illustration, this approximation procedure is applied when claim sizes have an exponential or generalized Pareto distribution.
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Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Ibrahim Coulibaly, Claude Lefèvre,