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The admissible portfolio selection problem with transaction costs and an improved PSO algorithm

机译:具有交易成本和改进的PSO算法的可容许投资组合选择问题

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In this paper, we discuss the portfolio selection problem with transaction costs under the assumption that there exist admissible errors on expected returns and risks of assets We propose a new admissible efficient portfolio selection model and design an improved particle swarm optimization (PSO) algorithm because traditional optimization algorithms fail to work efficiently for our proposed problem Finally, we offer a numerical example to illustrate the proposed effective approaches and compare the admissible portfolio efficient frontiers under different constraints
机译:在本文中,我们假设资产的预期收益和风险存在可容许的误差,并以此为基础讨论了带有交易成本的资产组合选择问题。我们提出了一种新的可容许的有效资产组合选择模型,并设计了一种改进的粒子群优化(PSO)算法,因为优化算法无法有效解决我们提出的问题最后,我们提供了一个数值示例来说明提出的有效方法,并比较了不同约束条件下可容许的投资组合有效边界

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