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Two-Stage Fuzzy Portfolio Selection Problem with Transaction Costs

机译:具有交易成本的两阶段模糊资产组合选择问题

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摘要

This paper studies a two-period portfolio selection problem. The problem is formulated as a two-stage fuzzy portfolio selection model with transaction costs, in which the future returns of risky security are characterized by possibility distributions. The objective of the proposed model is to achieve the maximum utility in terms of the expected value and variance of the final wealth. Given the first-stage decision vector and a realization of fuzzy return, the optimal value expression of the second-stage programming problem is derived. As a result, the proposed two-stage model is equivalent to a single-stage model, and the analytical optimal solution of the two-stage model is obtained, which helps us to discuss the properties of the optimal solution. Finally, some numerical experiments are performed to demonstrate the new modeling idea and the effectiveness. The computational results provided by the proposed model show that the more risk-averse investor will invest more wealth in the risk-free security. They also show that the optimal invested amount in risky security increases as the risk-free return decreases and the optimal utility increases as the risk-free return increases, whereas the optimal utility increases as the transaction costs decrease. In most instances the utilities provided by the proposed two-stage model are larger than those provided by the single-stage model.
机译:本文研究了一个两阶段的投资组合选择问题。该问题被表述为具有交易成本的两阶段模糊证券投资组合选择模型,其中风险证券的未来回报以可能性分布为特征。提出的模型的目的是在预期价值和最终财富的方差方面实现最大效用。给定第一阶段决策向量并实现模糊收益,推导了第二阶段规划问题的最优表达式。结果,所提出的两阶段模型等效于单阶段模型,并且获得了两阶段模型的解析最优解,这有助于我们讨论最优解的性质。最后,通过一些数值实验证明了新的建模思想和有效性。该模型提供的计算结果表明,厌恶风险的投资者将向无风险证券投资更多的财富。他们还表明,随着无风险收益的减少,风险证券的最佳投资额增加,而随着无风险收益的增加,最优效用增加,而随着交易成本的减少,最优效用增加。在大多数情况下,建议的两阶段模型提供的实用程序要大于单阶段模型提供的实用程序。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2015年第21期|675157.1-675157.12|共12页
  • 作者

    Chen Yanju; Wang Ye;

  • 作者单位

    Hebei Univ, Coll Math & Informat Sci, Baoding 071002, Hebei, Peoples R China;

    Hebei Univ, Coll Math & Informat Sci, Baoding 071002, Hebei, Peoples R China;

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  • 正文语种 eng
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