2013
DOI: 10.1080/03461238.2010.546144
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Ruin problems for a discrete time risk model with non-homogeneous conditions

Abstract: This paper is concerned with a non-homogeneous discrete time risk model where premiums are fixed but non-uniform, and claim amounts are independent but non-stationary. It allows one to account for the influence of inflation and interest and the effect of variability in the claims. Our main purpose is to develop an algorithm for calculating the finite time ruin probabilities and the associated ruin severity distributions. The ruin probabilities are shown to rely on an underlying algebraic structure of Appell ty… Show more

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Cited by 32 publications
(21 citation statements)
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“…Theorem 1.1. Consider the inhomogeneous discrete time risk model defined by equality (1.1), in which u 2 N 0 and According to this theorem, we can calculate the finite time ruin probability wðu; TÞ ¼ w ð0Þ ðu; TÞ of the initial model for all u 2 N 0 and T 2 N. Similar formulas for the finite time probabilities and related quantities can be found in [2,4,29,30].…”
Section: Introductionmentioning
confidence: 91%
“…Theorem 1.1. Consider the inhomogeneous discrete time risk model defined by equality (1.1), in which u 2 N 0 and According to this theorem, we can calculate the finite time ruin probability wðu; TÞ ¼ w ð0Þ ðu; TÞ of the initial model for all u 2 N 0 and T 2 N. Similar formulas for the finite time probabilities and related quantities can be found in [2,4,29,30].…”
Section: Introductionmentioning
confidence: 91%
“…However, such a non-i.d. assumption generates serious difficulties in the ruin probability evaluation, hence the related papers generally discuss recursions for the finite time ruin probability for discrete-time risk processes under restrictive assumptions, like: De Kok [15], who presented an approximate recursive algorithm based on the first two moments of the CSs distributions; Blazevicius et al [16] obtained recursions for discrete and rational-valued CSs; or Castaner et al [17], whose recursive algorithm needs the discretization of the CSs distributions.…”
Section: Introductionmentioning
confidence: 99%
“…It is necessary to consider the probability of survival of the insurer with an stop-loss (ϕ I (c R )), that can be obtained adapting the univariate model explained in [2]. We must also consider the probability of survival of the reinsurer given the insurer's survival.…”
Section: Problem 2: Stop-loss Reinsurancementioning
confidence: 99%