Mean-semivariance models for fuzzy portfolio selection
β Scribed by Xiaoxia Huang
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 158 KB
- Volume
- 217
- Category
- Article
- ISSN
- 0377-0427
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β¦ Synopsis
This paper discusses portfolio selection problem in fuzzy environment. In the paper, semivariance is originally presented for fuzzy variable, and three properties of the semivariance are proven. Based on the concept of semivariance of fuzzy variable, two fuzzy mean-semivariance models are proposed. To solve the new models in general cases, a fuzzy simulation based genetic algorithm is presented in the paper. In addition, two numerical examples are also presented to illustrate the modelling idea and the effectiveness of the designed algorithm.
π SIMILAR VOLUMES
In this paper, we introduce the possibilistic mean value and variance of continuous distribution, rather than probability distributions. We propose a multi-objective Portfolio based model and added another entropy objective function to generate a well diversified asset portfolio within optimal asset
In mean-variance (M-V) analysis, an investor with a holding period [0,T] operates in a two-dimensional space-one is the mean and the other is the variance. At time 0, he/she evaluates alternative portfolios based on their means and variances, and holds a combination of the market portfolio (e.g., an