• DocumentCode
    2316026
  • Title

    Stochastic Control in Optimal Portfolio with Regime Switching Model

  • Author

    Wan, Shuping

  • Author_Institution
    Coll. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang
  • fYear
    2006
  • fDate
    5-8 Dec. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Portfolio stochastic control problem is proposed and analyzed for a market consisting of one bank account and multiple stocks. The market parameters, including the bank interest rate and the appreciation and volatility rates of the stocks, depend on the market mode that switches among a finite number of states. The random regime switching is assumed to be independent of the underlying Brownian motion. This essentially renders the underlying market incomplete. A Markov chain modulated diffusion formulation is employed to model the problem. Using techniques of stochastic control theory and martingale optimality principle, a general verification theorem is obtained. Applying the verification theorem, the optimal control and value functions for the problems of utility maximization are derived explicitly.
  • Keywords
    Brownian motion; Markov processes; banking; economic indicators; investment; optimal control; optimisation; random processes; stochastic systems; stock markets; utility theory; Brownian motion; Markov chain modulated diffusion formulation; bank interest rate; martingale optimality principle; optimal control; optimal portfolio; portfolio stochastic control theory; random regime switching model; stock market; utility maximization; value function; verification theorem; volatility rate; Economic indicators; Educational institutions; Finance; Information analysis; Information technology; Investments; Optimal control; Portfolios; Stochastic processes; Switches; Optimal; Portfolio; Stochastic Control; Stopping time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    1-4244-0341-3
  • Electronic_ISBN
    1-4214-042-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2006.345087
  • Filename
    4149997