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On a simple quasi-Monte Carlo approach for classical ultimate ruin probabilities

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  • Coulibaly, Ibrahim
  • Lefèvre, Claude

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.

Suggested Citation

  • Coulibaly, Ibrahim & Lefèvre, Claude, 2008. "On a simple quasi-Monte Carlo approach for classical ultimate ruin probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 42(3), pages 935-942, June.
    • Handle: RePEc:eee:insuma:v:42:y:2008:i:3:p:935-942
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    References listed on IDEAS

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    1. Siegl, Thomas & F. Tichy, Robert, 2000. "Ruin theory with risk proportional to the free reserve and securitization," Insurance: Mathematics and Economics, Elsevier, vol. 26(1), pages 59-73, February.
    2. Usabel, Miguel A., 1998. "Applications to risk theory of a Monte Carlo multiple integration method," Insurance: Mathematics and Economics, Elsevier, vol. 23(1), pages 71-83, October.
    3. Albrecher Hansjörg & Kantor Josef, 2002. "Simulation of ruin probabilities for risk processes of Markovian type," Monte Carlo Methods and Applications, De Gruyter, vol. 8(2), pages 111-128, December.
    4. Asmussen, S. & Binswanger, K., 1997. "Simulation of Ruin Probabilities for Subexponential Claims," ASTIN Bulletin, Cambridge University Press, vol. 27(2), pages 297-318, November.
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    Cited by:

    1. He, Yue & Kawai, Reiichiro, 2022. "Moment and polynomial bounds for ruin-related quantities in risk theory," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1255-1271.
    2. Martire, Antonio Luciano, 2022. "Volterra integral equations: An approach based on Lipschitz-continuity," Applied Mathematics and Computation, Elsevier, vol. 435(C).

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