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
Link To Document :
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