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Empirical Study of Mean-entropy Model with the Transaction Costs in Portfolio Selection

机译:投资组合选择中带有交易成本的均值熵模型的实证研究

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摘要

Entropy can be as a measurement of the uncertainty and mean-entropy optimization model can help investors to make decisions in the imperfect securities market. In this paper, the transaction costs will be added to the mean-entropy model, which makes the model more rational and objective. The empirical study is done in twenty stocks of Shanghai Stock Exchange A Share to verify the model's feasibility and effectiveness.
机译:熵可以作为不确定性的度量,均值熵优化模型可以帮助投资者在不完善的证券市场上做出决策。本文将交易成本添加到均值熵模型中,使模型更加合理和客观。对上海证券交易所A股20只股票进行了实证研究,验证了该模型的可行性和有效性。

著录项

  • 来源
    《Journal of systems science & information》 |2009年第4期|327-331|共5页
  • 作者

    Hua Li; Junwei Xu; Qiubai Sun;

  • 作者单位

    School of Economy and Law, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China;

    School of Science University of Science and Technology Liaoning, Anshan 114051, Liaoning, China;

    School of Business Administration, University of Science and Technology Liaoning, Anshan 114051, Liaoning, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mean-entropy; portfolio; transaction costs;

    机译:平均熵投资组合交易成本;

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