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Abstract:
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.
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Source :
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9
Year: 2005
Page: 2529-2533
Language: English
Cited Count:
WoS CC Cited Count: 4
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
Affiliated Colleges: