This paper studies an optimal reinsurance-investment problem for a mean-variance insurer with defaultable security and jumps. Specially, we assume that the risky asset's price process is described by a geometric Lévy process. By using a game theoretic approach, we establish the extended Hamilton-Jacobi-Bellman system for the post-default case and the pre-default case, respectively. Furthermore, we derive the closed-from expressions for the time-consistent reinsurance-investment strategy and the corresponding value function. Finally, we provide numerical examples to illustrate the impacts of model parameters on the time-consistent strategy.
Mean-variance Proportional reinsurance Time-consistent strategy Defaultable bond Geometric Lévy process
Primary Language | English |
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Subjects | Mathematical Sciences |
Journal Section | Statistics |
Authors | |
Publication Date | June 1, 2018 |
Published in Issue | Year 2018 Volume: 47 Issue: 3 |