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Uniform tail asymptotics for the aggregate claims with stochastic discount in the renewal risk models

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Abstract

Considering an insurer who is allowed to make risk-free and risky investments, as in Tang et al. (2010), the price process of the investment portfolio is described as a geometric Lévy process. We study the tail probability of the stochastic present value of future aggregate claims. When the claim-size distribution is of extended regular variation, we obtain an asymptotically equivalent formula which holds uniformly for all time horizons, and furthermore, the same asymptotic formula holds for the finite-time ruin probabilities. The results extend the works of Tang et al. (2010).

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Correspondence to QiBing Gao.

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Zhu, C., Gao, Q. & Lin, J. Uniform tail asymptotics for the aggregate claims with stochastic discount in the renewal risk models. Sci. China Math. 58, 1079–1090 (2015). https://doi.org/10.1007/s11425-014-4863-6

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  • DOI: https://doi.org/10.1007/s11425-014-4863-6

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