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The Solving Algorithm for Harlow's Optimal LPM' Portfolio Model Based on MATLAB and Empirical Research on Precious Metals Investment in China

机译:基于MATLAB的Harlow最优LPM的投资组合模型的解决算法及贵金属投资的实证研究

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Measuring the risk of asset is the core problem of conforming optimal portfolio and assets management. Compared with the Markowitz portfolio optimization theory, downside risk will reflect the mental features of investors much better and have higher efficiency of resource allocation. So, downside risk is widely used in investment and assets management. Harlow's optimal LPM' portfolio model is a typical assets management model based on downside risk which has sound theoretical basis and mathematical version, but it's hard to solve the optimal portfolio especially facing large number of different capitals and assets. Given this reason, this paper programs a general purpose program for solving the Harlow's model based on MATLAB M-files; and then collects a certain amount of data about precious metals investment in China to do empirical research. The results of the empirical research show the correctness and high efficiency of the MATLAB algorithm, and the MATLAB algorithm improve the practicability and usability of Harlow's optimal LPM' portfolio model.
机译:测量资产的风险是符合最佳组合和资产管理的核心问题。与Markowitz产品组合优化理论相比,下行风险将反映投资者的心理特征更好,资源分配效率更高。因此,下行风险广泛用于投资和资产管理。 Harlow的最佳LPM'投资组合模型是基于下行风险的典型资产管理模型,其具有声音理论基础和数学版本,但很难解决最佳的投资组合,尤其面临大量不同的资本和资产。鉴于这一原因,本文计划根据MATLAB M文件解决哈洛模型的通用程序;然后收集有关中国贵金属投资的一定程度的数据,以进行实证研究。实证研究的结果表明了MATLAB算法的正确性和高效率,并提高了HARLOW最佳LPM投资组合模型的实用性和可用性。

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