Pablo Azcue, Xiaoqing Liang, Nora Muler, Virginia R. Young
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引用次数: 1
Abstract
In this paper, we consider an optimal reinsurance problem to minimize the probability of drawdown for the scaled Cramér–Lundberg risk model when the reinsurance premium is computed according to the mean-variance premium principle. We extend the work of Liang, Liang, and Young [Insurance Math. Econom., 92 (2020), pp. 128–146] to the case of minimizing the probability of drawdown. By using the comparison method and the tool of adjustment coefficients, we show that the minimum probability of drawdown for the scaled classical risk model converges to the minimum probability for its diffusion approximation, and the rate of convergence is of order . We further show that using the optimal strategy from the diffusion approximation in the scaled classical risk model is -optimal.
在本文中,我们考虑了一个最优再保险问题,当按均值-方差保费原则计算再保险保费时,缩放的cram r - lundberg风险模型的最优再保险问题是使赔付概率最小化。我们扩展了Liang, Liang, and Young [Insurance Math]的工作。的经济。, 92 (2020), pp. 128-146]最小化缩编概率的情况。通过比较方法和调整系数的工具,证明了经典风险模型的最小下降概率收敛于其扩散近似的最小概率,并且收敛速度是有阶的。进一步证明了在经典风险模型中使用扩散近似的最优策略是-最优的。
期刊介绍:
SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.