Relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problems of jump diffusions and applications to finance

This paper is concerned with the relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problems of jump diffusions. Under the assumption that the value function is smooth, we give relations among the adjoint processes, the generalized Hamiltonian function and the value function. An LQ recursive utility portfolio optimization problem in the financial market is discussed to show the applications of our result.

[1]  Jingtao Shi The relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problems and applications to finance , 2010, Proceedings of the 29th Chinese Control Conference.

[2]  Wensheng Xu,et al.  Stochastic maximum principle for optimal control problem of forward and backward system , 1995, The Journal of the Australian Mathematical Society. Series B. Applied Mathematics.

[3]  X. Zhou,et al.  Stochastic Controls: Hamiltonian Systems and HJB Equations , 1999 .

[4]  B. Øksendal,et al.  A Sufficient Stochastic Maximum Principle for Optimal Control of Jump Diffusions and Applications to Finance 1 , 2005 .

[5]  Larry G. Epstein,et al.  Stochastic differential utility , 1992 .

[6]  Hai-ping Shi Backward stochastic differential equations in finance , 2010 .

[7]  Shige Peng,et al.  Stochastic optimization theory of backward stochastic differential equations with jumps and viscosity solutions of Hamilton–Jacobi–Bellman equations , 2009 .

[8]  Zhen Wu,et al.  Maximum principle for forward-backward stochastic control system with random jumps and applications to finance , 2010, J. Syst. Sci. Complex..

[9]  Xunjing Li,et al.  Necessary Conditions for Optimal Control of Stochastic Systems with Random Jumps , 1994 .

[10]  Etienne Pardoux,et al.  A Survey of Möbius Groups , 1995 .

[11]  S. Peng,et al.  Adapted solution of a backward stochastic differential equation , 1990 .

[12]  Nikolai Dokuchaev,et al.  Stochastic Controls with Terminal Contingent Conditions , 1999 .