DocumentCode :
3230349
Title :
A new multi-objective portfolio optimization model based on dual expected utility
Author :
Gao, Yuelin ; Wang, Bo ; Quan, Xiangping ; Zhou, Jingke
Author_Institution :
Inst. of Inf. & Syst. Sci., North Univ. of Ethnic, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
793
Lastpage :
798
Abstract :
This paper gives a new portfolio optimization model based on dual expected utility. In the model, considering that the transaction number is integer and short sale is not allowed in China´s Stock Market at present, we introduce the constraints of minimal transaction unit and upper bound of investing in each asset in the friction market and we regard the utility risk as the risk under the non-conventional expected utility theory. Under the condition that the yield of portfolio has normal distribution, we propose a new portfolio optimization model. The new model is a nonlinear integer programming problem, we propose an improved genetic algorithm for solving the problem and it is shown with numerical result that the given model is reasonable and the given algorithm is efficient.
Keywords :
genetic algorithms; integer programming; investment; nonlinear programming; normal distribution; risk management; securities trading; utility theory; dual expected utility; friction market; genetic algorithm; investment; minimal transaction unit; multiobjective portfolio optimization model; nonlinear integer programming; normal distribution; securities market; stock market; transaction number; utility risk; utility theory; Biological system modeling; Encoding; dual expected utility; genetic algorithm; minimal transaction unit; nonlinear integer programming; portfolio optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645226
Filename :
5645226
Link To Document :
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