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An Empirical Study on the Application of Expected Utility-Entropy Decision Model in Securities Selecting in Shenzhen Stock Market

机译:预期熵决策模型在深圳股市中选择的实用熵决策模型的实证研究

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At first, we make a brief introduction to the Expected Utility-Entropy (EU-E) decision model, and then we apply this decision model to the selecting of securities. Using the EU-E decision model and Second Degreed Stochastic Dominance criterion (SSD) when selecting securities among stocks in Shenzhen 40 Component Index, we reach the conclusion that portfolios of stocks selected by EU-E decision model have larger returns with fixed risk than those of stocks selected by SSD criterion. Furthermore comparing the computing processes of these two methods, it is easy for investor to select stocks by using the EU-E decision model than by using the SSD criterion.
机译:首先,我们简要介绍了预期的效用 - 熵(EU-E)决策模型,然后我们将该决策模型应用于选择证券。在深圳40个成分指数中的股票中选择证券时,使用欧盟-E决策模型和第二次偏差随机优势支配标准,我们得出结论,欧盟-E决策模型选择的股票组合具有更大的回报,而不是那些由SSD标准选择的股票。此外,比较这两种方法的计算过程,因此易于使用EU-E决策模型来选择股票而不是使用SSD标准来选择库存。

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