期刊
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
卷 157, 期 1, 页码 252-275出版社
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10957-012-0138-y
关键词
Mean-variance portfolio selection; Optimal investment; Jump-diffusion process; HJB equation; Verification theorem
资金
- National Natural Science Foundation of China [11171164]
In this paper, we study the optimal investment and optimal reinsurance problem for an insurer under the criterion of mean-variance. The insurer's risk process is modeled by a compound Poisson process and the insurer can invest in a risk-free asset and a risky asset whose price follows a jump-diffusion process. In addition, the insurer can purchase new business (such as reinsurance). The controls (investment and reinsurance strategies) are constrained to take nonnegative values due to nonnegative new business and no-shorting constraint of the risky asset. We use the stochastic linear-quadratic (LQ) control theory to derive the optimal value and the optimal strategy. The corresponding Hamilton-Jacobi-Bellman (HJB) equation no longer has a classical solution. With the framework of viscosity solution, we give a new verification theorem, and then the efficient strategy (optimal investment strategy and optimal reinsurance strategy) and the efficient frontier are derived explicitly.
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