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重尾分布下的期望收益风险度量方法

Risk Measure Method Expect Return under Heavy-Tail Distribution

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【作者】 吴庆晓刘海龙许友传

【Author】 WU Qing-xiao,LIU Hai-long,XU You-chuan(Antai College of Economics and Management,Shanghai Jiaotong University, Shanghai 200052,China)

【机构】 上海交通大学安泰经济与管理学院

【摘要】 采用一种基于投资者期望收益的风险度量方法,并给出该风险度量在Laplace分布、混合正态分布、T分布等具有重尾特征分布下的表达式及若干性质.由于这些分布能更好地拟合金融收益时间序列数据,故给出这种风险度量在重尾分布下的性质无疑具有一定的理论和现实意义.

【Abstract】 Traditional risk measures based on variance and VaR do not consider the target return of investors,this is not consistent to decision-making behavior of investors who trade off the investment return and risk when they invest.This paper adopted a risk measure based on the target return of investor.The expressions and properties of the risk measure on Laplace distribution,mixed normal distribution and T distribution were given.Because those distributions can depict the heavy-tail properties distribution of finance data more accurately,it certainly has some theoretic and practical significance.

【基金】 国家自然科学基金资助项目(70471025)
  • 【文献出处】 上海交通大学学报 ,Journal of Shanghai Jiaotong University , 编辑部邮箱 ,2009年04期
  • 【分类号】F830.59;F224
  • 【被引频次】8
  • 【下载频次】302
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