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考虑背景风险的高阶矩三角模糊随机投资组合模型
引用本文:邓雄,刘燕丽. 考虑背景风险的高阶矩三角模糊随机投资组合模型[J]. 模糊系统与数学, 2020, 34(1): 99-113
作者姓名:邓雄  刘燕丽
作者单位:安阳师范学院软件学院,河南安阳455000
基金项目:中国国家留学基金资助项目
摘    要:在已有的大部分投资组合模型中,证券的收益服从随机分布或者模糊分布。然而,在实际的市场中存在大量的不确定性,市场不仅具有内在的风险,也存在由投资者个体差异产生的背景风险。本文推导随机模糊数的高阶矩性质,构建一个考虑背景风险的高矩三角模糊随机投资组合风险模型,采用沪深股市的数据分析背景风险对投资组合的影响。

关 键 词:背景风险  模糊随机数  偏度  峰度  投资组合  满意度

A High-moment Triangle Fuzzy Random Portfolio Model with Background Risk
DENG Xiong,LIU Yan-li. A High-moment Triangle Fuzzy Random Portfolio Model with Background Risk[J]. Fuzzy Systems and Mathematics, 2020, 34(1): 99-113
Authors:DENG Xiong  LIU Yan-li
Affiliation:(School of Software Engineering,Anyang Normal University,Anyang 455000,China)
Abstract:In most exiting portfolio selection models, security returns are assumed to have random or fuzzy distributions. However, uncertainties exist in actual financial markets. Markets are associated not only with inherent risk, but also with background risk that results from the differences among individual investors. This paper investigated the compliance of stock yields to the fuzzy-natured high-moments of random numbers in order to develop a high-moment triangle fuzzy random portfolio risk model. Data obtained from the Shanghai Stock Exchange and Shenzhen Stock Exchange was used to assess the influence on the proposed model of both background risk.
Keywords:Background Risk  Fuzzy Random Number  Skewness  Kurtosis  Portfolio Selection  Satisfaction Degree
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