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The Optimal Portfolio Model Based on Mean-CVaR

机译:基于均值-CVaR的最优投资组合模型

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This paper proposed the optimal portfolio model maximizing returns and minimizing the risk expressed as CvaR under the assumption that the portfolio yield subject to heavy tail. We use fuzzy mathematics method to solve the multi-objectives model, and compare the model results to the case under the normal distribution yield assumption based on the portfolio VAR through empirical research. It is showed that our return is approximate to M-V model but risk is higher than M-V model. So it is illustrated that CVaR predicts the potential risk of the portfolio, which will help investors to cautious investment.
机译:本文提出了最优投资组合模型,该模型在投资组合收益率承受重尾的假设下,将收益最大化和风险最小化(表示为CvaR)。我们采用模糊数学方法对多目标模型进行求解,并通过实证研究将模型结果与基于投资组合VAR的正态分布收益假设下的情况进行比较。结果表明,我们的收益率近似于M-V模型,但风险高于M-V模型。因此,可以证明CVaR可以预测投资组合的潜在风险,这将有助于投资者谨慎投资。

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