A new model for solving portfolio selections based on fuzzy goals of investors

Authors:
Jie Yang;Hongjian Qu;Hejing Ge;Bai Xiaojuan
Affiliations:
Business School, Hohai University, Nanjing, P.R.China;Donghua University, Shanghai, P.R. China;Business School, Hohai University, Nanjing, P.R.China;Department of Economic Management, Shanghai XingJian College, Shanghai, P.R.China
Venue:
WSEAS Transactions on Computers
Year:
2010

Citing 4
Cited 0

Local Search Techniques for Constrained Portfolio SelectionProblems

Computational Economics
An Integrated Data Preparation Scheme for Neural Network Data Analysis

IEEE Transactions on Knowledge and Data Engineering
Portfolio Optimization with Factors, Scenarios, and Realistic Short Positions

Operations Research
A multistage mean/variance approach for portfolio management in the Mexican market

WSEAS Transactions on Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Since the 1960s, lots of scholars had begun to research in the portfolio selections based on the theory of mean-variance of Markowitz portfolio and relevant methods. All of these studies are under certainly of the assumption term, and then the researchers can get efficient set of portfolio selection. However, alone with the finance environment increasing of complexity, it is becoming more complex to build a model of portfolio selection, which requires further inquiries on its part based on the fact. In this paper, a new model of portfolio selection is proposed, and it is based on the fuzzy goals between risk and return which is made up of subjective measure factors. These factors can represent the investors' subjective thinking, and they are given before building the model of portfolio selection. Therefore, this goal will not change with the change of the portfolio strategy. The theory and empirical studies show that the new model is close to the practical finance environment and it simplify the process of solving and be valuable.