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均值-半方差-熵投资组合优化模型
引用本文:孙全德,邓雪.均值-半方差-熵投资组合优化模型[J].吉首大学学报(自然科学版),2017,38(3):86-90.
作者姓名:孙全德  邓雪
作者单位:(华南理工大学数学学院,广东 广州 510640)
基金项目:国家自然科学基金资助项目(11271140);教育部人文社会科学青年基金资助项目(13YJCZH030);广东省自然科学基金自由项目(2016A030313545);华南理工大学中央高校基本科研业务费重点项目(X21XD2152360);广东省学位与研究生教育改革研究重点项目(2015JGXM-ZD03)
摘    要:比较以方差为风险构建的均值-方差模型、以半方差为风险构建的均值-半方差模型、以绝对离差为风险构建的均值-离差模型可知,在同等收益水平下以半方差为风险最符合投资者心理的结论.引入熵构建均值-半方差-熵模型.实例分析结果表明,新模型能更全面地考虑股票市场中各种可能的不确定因素,在收益达到一定水平的基础上,为投资者提供更安全的投资方案.

关 键 词:投资组合  半方差    风险

Mean-Semi-Variance-Entropy Optimal Portfolio
SUN Quande,DENG Xue.Mean-Semi-Variance-Entropy Optimal Portfolio[J].Journal of Jishou University(Natural Science Edition),2017,38(3):86-90.
Authors:SUN Quande  DENG Xue
Institution:(School of Mathematics,South China University of Technology,Guangzhou 510640,China)
Abstract:Firstly,we compare the mean-variance model using variance to measure risk,the mean-absolute-deviation model using the absolute deviation to measure the risk,and the mean-semi-variance model using the semi-variance to measure the risk.The comparison shows that with the same return,the semi variance as the risk measurement is most consistent with the psychology of investors.Then we employ the entropy to construct the mean-semi-variance-entropy model.The analysis of a numerical example shows that our proposed model is more comprehensive for it is concerned with all kinds of uncertain factors in the stock market,and can provide more secure investment plans for the investors.
Keywords:portfolio                                                                                                                        semi-variance                                                                                                                        entropy                                                                                                                        risk
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