Multi-period semi-variance portfolio selection: Model and numerical solution

被引:53
作者
Yan, Wei [1 ]
Miao, Rong [1 ]
Li, Shurong [1 ]
机构
[1] China Univ Petr, Coll Informat & Control Engn, Dongying Shandong 257061, Peoples R China
关键词
semi-variance; multi-period portfolio selection; efficient frontier; PSO algorithm;
D O I
10.1016/j.amc.2007.04.036
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Variance is substituted by semi-variance in Markowitz's portfolio selection model. Moreover, one period portfolio selection is extended to multi-period. In this paper, a class of multi-period semi-variance model is formulated originally. Besides, a hybrid genetic algorithm (GA), which makes use of the position displacement strategy of the particle swarm optimizer (PSO) as a mutation operation, is applied to solve the multi-period semi-variance model. For this class of portfolio model, numerical results show that the hybrid GA with PSO is effective and feasible. (c) 2007 Elsevier Inc. All rights reserved.
引用
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页码:128 / 134
页数:7
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