DocumentCode :
2657116
Title :
Optimal portfolio for multi-asset in a jump-diffusion model with time-varying market structure
Author :
Guohe, Deng
Author_Institution :
Postdoctoral Res. Workstation of Math., Hunan Univ., Changsha
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
457
Lastpage :
461
Abstract :
An optimal portfolio problem for an investor who can invest his wealth in stock, bond and cash account is considered in a jump-diffusion model with time-varying market structure, where the short nominal interest rates, the inflation uncertainty and the excess return of stock are all assumed to follow mean-reverting stochastic processes. Guided by stochastic dynamic programming principle, we gain a Hamilton-Jacobi-Bellman(HJB) equation which corresponds to the optimal portfolio strategies. In addition, we determine the portfolio choice, and illustrate the behaviors of investment strategy to stock by examining the impacts of jumps, risk aversion parameters and different investment time horizons with numerical examples in the case of constant relative risk aversion (CRRA) utility function and the jump-sizes following double exponential distribution.
Keywords :
dynamic programming; exponential distribution; investment; stochastic programming; time-varying systems; Hamilton-Jacobi-Bellman equation; constant relative risk aversion; double exponential distribution; inflation uncertainty; investment strategy; jump-diffusion model; mean-reverting stochastic processes; optimal portfolio problem; optimal portfolio strategies; portfolio choice; short nominal interest rates; stochastic dynamic programming; stock excess return; time-varying market structure; Bonding; Economic indicators; Electronic mail; Investments; Mathematical model; Mathematics; Portfolios; Stochastic processes; Uncertainty; Workstations; Jump-diffusion model; Optimal portfolio; Time-varying investment set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4604985
Filename :
4604985
Link To Document :
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