hal-00567012, version 1
Moments and Semi-Moments for fuzzy portfolios selection
(05/01/2011)
Abstract: The aim of this paper is to consider the moments and the semi-moments (i.e semi-kurtosis) for portfolio selection with fuzzy risk factors (i.e. trapezoidal risk factors). In order to measure the leptokurtocity of fuzzy portfolio return, notions of moments (i.e. Kurtosis) kurtosis and semi-moments(i.e. Semi-kurtosis) for fuzzy port- folios are originally introduced in this paper, and their mathematical properties are studied. As an extension of the mean-semivariance-skewness model for fuzzy portfolio, the mean-semivariance-skewness- semikurtosis is presented and its four corresponding variants are also considered. We briefly designed the genetic algorithm integrating fuzzy simulation for our optimization models.
- 1:
- Université de Douala
- 2:
- Université Montpellier I – CNRS : UMR5474 – Institut national de la recherche agronomique (INRA) : UR1135 – Centre international de hautes études agronomiques méditerranéennes [CIHEAM]
- 3:
- Université de Douala
- Domain : Quantitative Finance/Computational Finance
Computer Science/Computational Engineering, Finance, and Science
Quantitative Finance/Portfolio Management
Mathematics/Probability
Mathematics/Statistics
Statistics/Statistics Theory - Keywords : Fuzzy moments – Credibility theory – Portfolios – Asset allocation – multi-objective optimization
- hal-00567012, version 1
- http://hal.archives-ouvertes.fr/hal-00567012
- oai:hal.archives-ouvertes.fr:hal-00567012
- From:
- Submitted on: Friday, 18 February 2011 15:40:29
- Updated on: Friday, 18 February 2011 17:19:50




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