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

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 a 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 discretization step of the claim sizes distribution. Finally, the coefficients of our formula do not depend on initial reserves.

[1]  Paul Embrechts,et al.  Panjer recursion versus FFT for compound distributions , 2009, Math. Methods Oper. Res..

[2]  Robert M. Mnatsakanov,et al.  Nonparametric estimation of ruin probabilities given a random sample of claims , 2008 .

[3]  Florin Avram,et al.  On moments based Padé approximations of ruin probabilities , 2011, J. Comput. Appl. Math..

[5]  A. Kaasik Estimating ruin probabilities in the Cramér-Lundberg model with heavy-tailed claims , 2009 .

[6]  O. Barndorff-Nielsen Information and Exponential Families in Statistical Theory , 1980 .

[7]  Søren Asmussen,et al.  Ruin probabilities , 2001, Advanced series on statistical science and applied probability.

[8]  Paul Embrechts,et al.  Some applications of the fast Fourier transform algorithm in insurance mathematics. , 1993 .

[9]  D. Dickson,et al.  A Review of Panjer's Recursion Formula and its Applications , 1995, British Actuarial Journal.

[10]  Hailiang Yang,et al.  On a nonparametric estimator for ruin probability in the classical risk model , 2014 .

[11]  On a gamma series expansion for the time-dependent probability of collective ruin , 2001 .

[12]  Henryk Gzyl,et al.  Determination of the probability of ultimate ruin by maximum entropy applied to fractional moments , 2013 .

[13]  Claude Lefèvre,et al.  The probability of ruin in finite time with discrete claim size distribution , 1997 .

[14]  Harry H. Panjer,et al.  Recursive Evaluation of a Family of Compound Distributions , 1981, ASTIN Bulletin.

[15]  Robert M. Mnatsakanov,et al.  A note on recovering the distributions from exponential moments , 2013, Appl. Math. Comput..

[16]  Florin Avram,et al.  On the efficient evaluation of ruin probabilities for completely monotone claim distributions , 2010, J. Comput. Appl. Math..

[17]  J. F. C. Kingman,et al.  Information and Exponential Families in Statistical Theory , 1980 .

[18]  Ward Whitt,et al.  The Fourier-series method for inverting transforms of probability distributions , 1992, Queueing Syst. Theory Appl..

[19]  O. Barndorff-Nielsen Information And Exponential Families , 1970 .

[20]  Paul Embrechts,et al.  Some applications of the fast Fourier transform algorithm in insurance mathematics This paper is dedicated to Professor W. S. Jewell on the occasion of his 60th birthday , 1993 .

[21]  Artak Hakobyan,et al.  Approximation of the ruin probability using the scaled Laplace transform inversion , 2015, Appl. Math. Comput..

[22]  G. Szegö,et al.  Concerning sets of polynomials orthogonal simultaneously on several circles , 1939 .

[23]  Ward Whitt,et al.  On the Laguerre Method for Numerically Inverting Laplace Transforms , 1996, INFORMS J. Comput..

[24]  C. Morris Natural Exponential Families with Quadratic Variance Functions , 1982 .

[25]  M. Schemper Nonparametric estimation of variance, skewness and kurtosis of the distribution of a statistic by jackknife and bootstrap techniques , 1987 .

[26]  Denys Pommeret Orthogonal and pseudo-orthogonal multi-dimensional Appell polynomials , 2001, Appl. Math. Comput..

[27]  William T. Weeks,et al.  Numerical Inversion of Laplace Transforms Using Laguerre Functions , 1966, JACM.

[28]  H. Gerber,et al.  On the Time Value of Ruin , 1997 .

[29]  John A. Beekman,et al.  A RUIN FUNCTION APPROXIMATION , 1969 .

[30]  T. Rolski Stochastic Processes for Insurance and Finance , 1999 .

[31]  David C. M. Dickson,et al.  On the distribution of the surplus prior to ruin , 1992 .