Computers and Operations Research
Dynamic Mean-Variance Portfolio Selection with No-Shorting Constraints
SIAM Journal on Control and Optimization
Dynamic Asset Allocation in a Mean-Variance Framework
Management Science
Expected value operator of random fuzzy variable and random fuzzy expected value models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Portfolio Optimization Under a Minimax Rule
Management Science
Fuzzy portfolio optimization under downside risk measures
Fuzzy Sets and Systems
Robust multiperiod portfolio management in the presence of transaction costs
Computers and Operations Research
Multi-period portfolio optimization with linear control policies
Automatica (Journal of IFAC)
A generalized multi-period mean-variance portfolio optimization with Markov switching parameters
Automatica (Journal of IFAC)
Multi-objective possibilistic model for portfolio selection with transaction cost
Journal of Computational and Applied Mathematics
A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns
Journal of Computational and Applied Mathematics
A review of credibilistic portfolio selection
Fuzzy Optimization and Decision Making
Fuzzy multi period portfolio selection with different rates for borrowing and lending
Applied Soft Computing
Constrained optimization based on modified differential evolution algorithm
Information Sciences: an International Journal
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Fuzzy multi-period portfolio selection optimization models using multiple criteria
Automatica (Journal of IFAC)
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This paper proposes a credibilitic mean-variance model for multi-period portfolio selection problem in a fuzzy uncertain economic environment, which maximizes the terminal wealth and minimizes the risk of the terminal wealth. To avoid occurrence of bankruptcy in the whole investment horizon, a risk control constraint is imposed on the proposed model at the same time. In this model, the return rate of asset is quantified by credibilitic expected value and the risk is characterized by credibilitic variance. To solve the proposed model, a fuzzy programming technique is utilized to transform it into a single-objective programming model. Then, a novel hybrid genetic algorithm is designed for obtaining the optimal investment strategy. Finally, a numerical example is given to illustrate the application of the proposed model and a comparative analysis about solution algorithms are implemented.