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Mean-Risk Model for Hybrid Portfolio Selection with Fuzziness and Randomness

  • Xiaoxia Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6935)

Abstract

This paper discusses the hybrid portfolio selection problem in the situation where only some security returns can be well reflected by their past data and are suitable to be described by random variables, but the other security returns can hardly be predicted through the historical data and are suitable to be described by fuzzy variables. By using chance theory, this paper extends the risk curve to hybrid portfolio selection and develops a hybrid mean-risk model. In addition, the way for computing the expected value and the risk curve of the hybrid portfolio return is provided and a genetic algorithm is presented for finding the optimal solution. As an illustration, an example is also provided.

Keywords

portfolio selection mean-risk model risk curve 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xiaoxia Huang
    • 1
  1. 1.School of Economics and ManagementUniversity of Science and TechnologyBeijingChina

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