Portfolio selection with quadratic utility function under fuzzy enviornment

被引:0
|
作者
Zhang, JP [1 ]
Li, SM [1 ]
机构
[1] Beijing Univ Technol, Dept Appl Math, Beijing 100022, Chaoyang Dist, Peoples R China
来源
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词
portfolio selection; utility function; fuzzy number; possibilistic mean and variance;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Uncertainty is present in real financial markets due to unknown events, such as return streams, prices of securities, maintenance costs etc. Usually, uncertainty includes two aspects: randomness and fuzziness. Famous Markowitz's portfolio selection model deals with uncertainty using probability approach. But it is not enough to describe the real financial markets. This paper considers the return rate as a fuzzy number and assume all investors are risk averse, who make investment decisions according to maximize utility score. The score is given by the Von-Neumann-Morgenstern utility function, which is a quadratic function. We will propose an n-asset portfolio selection model based on possibilistic mean and possibilistic variance and discuss its optimal solution.
引用
收藏
页码:2529 / 2533
页数:5
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