Solving Constrained Mean-Variance Portfolio Optimization Problems Using Spiral Optimization Algorithm
نویسندگان
چکیده
Portfolio optimization is an activity for balancing return and risk. In this paper, we used mean-variance (M-V) portfolio models with buy-in threshold cardinality constraints. This model can be formulated as a mixed integer nonlinear programming (MINLP) problem. To solve constrained problem, propose the use of modified spiral algorithm (SOA). Then, Bartholomew-Biggs Kane’s data to validate our proposed algorithm. The results show that efficient tool solving
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ژورنال
عنوان ژورنال: International Journal of Financial Studies
سال: 2022
ISSN: ['2227-7072']
DOI: https://doi.org/10.3390/ijfs11010001