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A maximum principle for Markov regime-switching forward-backward stochastic differential games and applications

机译:马尔可夫政权切换前后随机差动游戏和应用的最大原则

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摘要

In this paper, we present an optimal control problem for stochastic differential games under Markov regime-switching forward-backward stochastic differential equations with jumps. First, we prove a sufficient maximum principle for nonzero-sum stochastic differential games problems and obtain equilibrium point for such games. Second, we prove an equivalent maximum principle for nonzero-sum stochastic differential games. The zero-sum stochastic differential games equivalent maximum principle is then obtained as a corollary. We apply the obtained results to study a problem of robust utility maximization under a relative entropy penalty and to find optimal investment of an insurance firm under model uncertainty.
机译:在本文中,我们对Markov条件切换前后随机微分方程下的随机差动游戏提供了最佳控制问题。 首先,我们证明了非零和随机差异游戏问题的充分最大原则,并获得此类游戏的均衡点。 其次,我们证明了非零和随机差动游戏的等效最大原则。 然后获得零和随机差动游戏等效的最大原理作为推论。 我们应用所获得的结果,以研究在相对熵障碍下的鲁棒实用性最大化问题,并在模型不确定性下找到保险公司的最佳投资。

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