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基于不同风险度量的投资组合模型实证分析
引用本文:肖贤春,胡支军.基于不同风险度量的投资组合模型实证分析[J].贵州大学学报(自然科学版),2006,23(3):249-253.
作者姓名:肖贤春  胡支军
作者单位:贵州大学数学系,贵州,贵阳,550025
基金项目:贵州省自然科学基金资助项目(黔科教合J(2005)2002号)
摘    要:利用上海证券市场的实际交易数据对半绝对离差模型,基于分位数的绝对离差模型(Ruszczynski&Vanderbei,2003)以及MV模型进行了实证比较.通过分析各模型的全局最小风险组合,计算发现,半绝对离差模型比其他模型具有更好的样本外业绩.

关 键 词:投资组合模型  风险度量  随机占优
文章编号:1000-5269(2006)03-0249-05
收稿时间:2006-06-28
修稿时间:2006-06-28

The Empirically Analysis of Portfolio Optimization Models Based on Different Measure of Risk
XIAO Xian-chun,HU Zhi-jun.The Empirically Analysis of Portfolio Optimization Models Based on Different Measure of Risk[J].Journal of Guizhou University(Natural Science),2006,23(3):249-253.
Authors:XIAO Xian-chun  HU Zhi-jun
Institution:Department of Mathematics, Guizhou University, Guiyang 550025, China
Abstract:This paper compare portfolio optimization models based on different risk measurement using data from Shanghai securities market.We compares the global minimum risk portfolios of the different models:semi-absolute deviation model,weighted absolute deviation from the quantile model(Ruszczynski & Vanderbei,2003)and mean-variance model.The empirical study shows that semi-absolute deviation model is superior to the other two models and weighted absolute deviation from the quantile model is better than the mean-variance model.
Keywords:portfolio optimization model  risk measurement  stochastic dominance
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