Solving Constrained Mean-Variance Portfolio Optimization Problems Using Spiral Optimization Algorithm

被引:2
|
作者
Febrianti, Werry [1 ,2 ]
Sidarto, Kuntjoro Adji [1 ]
Sumarti, Novriana [1 ]
机构
[1] Inst Teknol Bandung, Fac Math & Nat Sci, Dept Math, Ganesa St 10, Bandung 40132, Indonesia
[2] Inst Teknol Sumatera, Dept Sci, Math, Terusan Ryacudu St,Way Huwi, South Lampung 35365, Indonesia
来源
关键词
constrained portfolio optimization; mixed integer nonlinear programming; spiral optimization algorithm;
D O I
10.3390/ijfs11010001
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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 and cardinality constraints. This model can be formulated as a mixed integer nonlinear programming (MINLP) problem. To solve this constrained mean-variance portfolio optimization problem, we propose the use of a modified spiral optimization algorithm (SOA). Then, we use Bartholomew-Biggs and Kane's data to validate our proposed algorithm. The results show that our proposed algorithm can be an efficient tool for solving this portfolio optimization problem.
引用
收藏
页数:12
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