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arXiv 2109.09137math.OCmath.PR
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模型不确定性下的最优分配

Optimal Dividends under Model Uncertainty

Prakash Chakraborty, Asaf Cohen, Virginia R. Young

摘要:

我们考虑一个最优分配股息的扩散模型,同时允许关于盈余过程漂移的Boghtian模型的模糊性。证明了该值函数是一类非线性Hamilton-Jacobi-Bellman变分不等式的唯一解。此外,该值函数体现了保险公司盈余的独特最优阈值策略,从而使其在阈值位置平滑粘贴非线性和线性部分。此外,我们还得到了值函数的连续性和单调性以及阈值策略关于模型的模糊性度量参数的性质。

英文摘要:

We consider a diffusive model for optimally distributing dividends, while allowing for Knightian model ambiguity concerning the drift of the surplus process. We show that the value function is the unique solution of a non-linear Hamilton-Jacobi-Bellman variational inequality. In addition, this value function embodies a unique optimal threshold strategy for the insurer's surplus, thereby making it the smooth pasting of a non-linear and linear part at the location of the threshold. Furthermore, we obtain continuity and monotonicity of the value function and the threshold strategy with respect to the parameter that measures ambiguity of our model.

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