A study on the sensitivity analysis of the parameter of the generalized mean-variance-skewness model for portfolio selection problem

In this paper, the concept of h-zigzag uncertainty distribution as a generalization of the zigzag uncertainty distribution is introduced. The same has been applied to the construction of a generalized mean-variance-skewness model of portfolio optimization. The introduced distribution has the unique feature of accommodating different types of zigzag distributions with a mere change in the value of the parameter h. The method of solution of the proposed model has been illustrated by constructing a numerical problem based on real data. A sensitivity analysis of the optimal solution in respect of the parameter h has been performed and observations are analyzed. The optimal solutions for different values of h are compared. The results developed in this article generalize and unify several existing results established by researchers.

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Publication Details

Journal
Boletim da Sociedade Paranaense de Matemática
Published
2025-05-29
DOI
https://doi.org/10.5269/bspm.65722
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

A study on the sensitivity analysis of the parameter of the generalized mean-variance-skewness model for portfolio selection problem

Binod Chandra Tripathy, Debasish Bhattacharya, Sanjoy Chhatri
Boletim da Sociedade Paranaense de Matemática
Fuzzy Systems and Optimization
article

A study on the sensitivity analysis of the parameter of the generalized mean-variance-skewness model for portfolio selection problem

Binod Chandra Tripathy, Debasish Bhattacharya, Sanjoy Chhatri
article en

Abstract

In this paper, the concept of h-zigzag uncertainty distribution as a generalization of the zigzag uncertainty distribution is introduced. The same has been applied to the construction of a generalized mean-variance-skewness model of portfolio optimization. The introduced distribution has the unique feature of accommodating different types of zigzag distributions with a mere change in the value of the parameter h. The method of solution of the proposed model has been illustrated by constructing a numerical problem based on real data. A sensitivity analysis of the optimal solution in respect of the parameter h has been performed and observations are analyzed. The optimal solutions for different values of h are compared. The results developed in this article generalize and unify several existing results established by researchers.

Boletim da Sociedade Paranaense de MatemáticaVol. 43
National Institute of Technology Agartala (IN), Tripura University (IN)
Openalex Percentile: Top 78%
Fuzzy Systems and Optimization
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