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Maximum Principle of Optimal Stochastic Control with Terminal State Constraint and Its Application in Finance 被引量:1
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作者 ZHUO Yu 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2018年第4期907-926,共20页
This paper considers the optimal control problem for a general stochastic system with general terminal state constraint. Both the drift and the diffusion coefficients can contain the control variable and the state con... This paper considers the optimal control problem for a general stochastic system with general terminal state constraint. Both the drift and the diffusion coefficients can contain the control variable and the state constraint here is of non-functional type. The author puts forward two ways to understand the target set and the variation set. Then under two kinds of finite-codimensional conditions, the stochastic maximum principles are established, respectively. The main results are proved in two different ways. For the former, separating hyperplane method is used; for the latter, Ekeland's variational principle is applied. At last, the author takes the mean-variance portfolio selection with the box-constraint on strategies as an example to show the application in finance. 展开更多
关键词 finite-codimensional condition mean-variance portfolio selection problem stochastic maximum principle terminal state constraint.
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