DocumentCode
2109413
Title
The relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problems and applications to finance
Author
Shi Jingtao
Author_Institution
Sch. of Math., Shandong Univ., Jinan, China
fYear
2010
fDate
29-31 July 2010
Firstpage
1535
Lastpage
1540
Abstract
This paper is concerned with the relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problems. Under the assumption that the value function is enough 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.
Keywords
dynamic programming; maximum principle; stochastic systems; LQ recursive utility portfolio optimization problem; dynamic programming principle; finance; financial market; generalized Hamiltonian function; maximum principle; stochastic recursive optimal control problem; value function; Differential equations; Equations; Optimal control; Optimization; Portfolios; Security; State feedback; Backward Stochastic Differential Equation; Dynamic Programming Principle; Maximum Principle; Portfolio Optimization; Recursive Optimal Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573493
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