A polynomial expansion to approximate the ultimate ruin probability in the compound Poisson ruin model

Pierre-Olivier Goffard (), Stéphane Loisel and Denys Pommeret ()
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Pierre-Olivier Goffard: AXA France - AXA, I2M - Institut de Mathématiques de Marseille - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique
Denys Pommeret: I2M - Institut de Mathématiques de Marseille - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique

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Abstract: A numerical method to approximate ruin probabilities is proposed within the frame of a compound Poisson ruin model. The defective density function associated to the ruin probability is projected in an orthogonal polynomial system. These polynomials are orthogonal with respect to a probability measure that belongs to Natural Exponential Family with Quadratic Variance Function (NEF-QVF). The method is convenient in at least four ways. Firstly, it leads to a simple analytical expression of the ultimate ruin probability. Secondly, the implementation does not require strong computer skills. Thirdly, our approximation method does not necessitate any preliminary discretisation step of the claim sizes distribution. Finally, the coefficients of our formula do not depend on initial reserves.

Keywords: orthogonal polynomials; Compound Poisson model; ultimate ruin probability; natural exponential families with quadratic variance functions; Laplace transform inversion; Gamma series expansion (search for similar items in EconPapers)
Date: 2015
Note: View the original document on HAL open archive server: https://hal.science/hal-00853680v2
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Published in Journal of Computational and Applied Mathematics, 2015, 296 (April 2016), pp.499-511. ⟨10.1016/j.cam.2015.06.003⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00853680

DOI: 10.1016/j.cam.2015.06.003

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