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Optimal reinsurance under the mean–variance premium principle to minimize the probability of ruin

Xiaoqing Liang, Zhibin Liang and Virginia R. Young

Insurance: Mathematics and Economics, 2020, vol. 92, issue C, 128-146

Abstract: We consider the problem of minimizing the probability of ruin by purchasing reinsurance whose premium is computed according to the mean–variance premium principle, a combination of the expected-value and variance premium principles. We derive closed-form expressions of the optimal reinsurance strategy and the corresponding minimum probability of ruin under the diffusion approximation of the classical Cramér–Lundberg risk process perturbed by a diffusion. We find an explicit expression for the reinsurance strategy that maximizes the adjustment coefficient for the classical risk process perturbed by a diffusion. Also, for this risk process, we use stochastic Perron’s method to prove that the minimum probability of ruin is the unique viscosity solution of its Hamilton–Jacobi–Bellman equation with appropriate boundary conditions. Finally, we prove that, under an appropriate scaling of the classical risk process, the minimum probability of ruin converges to the minimum probability of ruin under the diffusion approximation.

Keywords: Optimal reinsurance; Probability of ruin; Classical risk model; Diffusion perturbation; Diffusion approximation; Asymptotic analysis (search for similar items in EconPapers)
JEL-codes: C61 D81 G22 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:92:y:2020:i:c:p:128-146

DOI: 10.1016/j.insmatheco.2020.03.008

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Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu

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