De Finetti's control problem with a concave bound on the control rate

JOURNAL OF APPLIED PROBABILITY(2024)

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摘要
We consider De Finetti's control problem for absolutely continuous strategies with control rates bounded by a concave function and prove that a generalized mean-reverting strategy is optimal in a Brownian model. In order to solve this problem, we need to deal with a nonlinear Ornstein-Uhlenbeck process. Despite the level of generality of the bound imposed on the rate, an explicit expression for the value function is obtained up to the evaluation of two functions. This optimal control problem has, as special cases, those solved in Jeanblanc-Picque and Shiryaev (1995) and Renaud and Simard (2021) when the control rate is bounded by a constant and a linear function, respectively.
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关键词
Stochastic control,absolutely continuous strategies,dividend payments,diffusion model,Brownian motion,nonlinear Ornstein-Uhlenbeck process
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