Risk theory in a finite customer-pool setting
Risk theory in a finite customer-pool setting
This paper investigates an insurance model with a finite number of major clients and a large number of small clients, where the dynamics of the latter group are modeled by a spectrally positive L\'evy process. We begin by analyzing this general model, in which the inter-arrival times are exponentially distributed (though not identically), and derive the closed-form Laplace transform of the ruin probability. Next, we examine a simplified version of the model involving only the major clients, and explore the tail asymptotics of the ruin probability, focusing on the cases where the claim sizes follow phase-type or regularly varying distributions. Finally, we derive the distribution of the overshoot over an exponentially distributed initial reserve, expressed in terms of its Laplace-Stieltjes transform.
Michel Mandjes、Dani?l Rutgers
数学
Michel Mandjes,Dani?l Rutgers.Risk theory in a finite customer-pool setting[EB/OL].(2025-05-16)[2025-06-30].https://arxiv.org/abs/2505.11127.点此复制
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