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不允许卖空情况下均值-方差和均值-VaR投资组合比较研究
引用本文:张鹏. 不允许卖空情况下均值-方差和均值-VaR投资组合比较研究[J]. 中国管理科学, 2008, 16(4): 30-35
作者姓名:张鹏
作者单位:武汉科技大学管理学院 湖北 武汉 430081
基金项目:国家自然科学基金,武汉科技大学校科研和教改项目
摘    要:文章研究了不允许卖空情况的均值-方差和均值-VaR两种投资组合模型,并运用不等式组的旋转算法并结合序列二次规划法进行求解。最后,通过实证研究验证了上述算法的有效性。计算结果还表明,在不允许卖空情况下,均值-VaR投资组合的有效前沿为均值-方差投资组合有效前沿的子集;置信度越低,投资者越倾向于选择收益率大而风险也大的投资组合。

关 键 词:投资组合  不允许卖空  均值-VaR  序列二次规划  旋转算法  
收稿时间:2008-05-08;
修稿时间:2008-12-11

The Comparison between Mean-Variance and Mean-VaR Portfolio Models without Short Sales
ZHANG Peng. The Comparison between Mean-Variance and Mean-VaR Portfolio Models without Short Sales[J]. Chinese Journal of Management Science, 2008, 16(4): 30-35
Authors:ZHANG Peng
Affiliation:School of Management, Wuhan University of Science and Technology, Wuhan 430081, China
Abstract:The paper studied mean-variance and mean-VaR models without short sales respectively,then used pivoting algorithm and sequence of quadratic programming method to solve those models.The algorithms were proved efficient by the empirical research.The result indicated that the efficient frontiers of mean-VaR model were the subset of the efficient frontiers of mean-variance model.The smaller the credit value was,the more the investors were interested in the portfolio that the expected return and variance were al...
Keywords:portfolio selection  without short sales  mean-VaR  sequence of quadratic programming  pivoting algorithm  
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