• 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