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
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