期刊文献+

参数不确定性下资产配置的动态均值-方差模型 被引量:13

A dynamic mean-variance model of portfolio selection under parameter uncertainty
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摘要 现有关于资产配置的动态均值-方差模型的研究均假设投资者准确知道与资产收益率相关的参数,从而忽略了参数不确定性对投资决策的影响.本文研究引入参数不确定性和贝叶斯学习时的动态均值-方差模型,使用鞅方法求解得出最优投资策略的解析表达式,并导出了均值-方差有效边界.在此基础上,利用中国证券市场的实际数据进行了实证分析,结果表明参数不确定性对最优投资策略以及投资效果有较大的影响. The standard mean-variance portfolio selection model assumes that investors exactly know the security parameters, neglecting the effect of parameter uncertainty on portfolio selection. This paper investigates a continuous-time mean-variance portfolio selection problem under parameter uncertainty and Bayesian learning. The problem is solved by using a martingale approach, and the optimal investment strategy and the mean-variance efficient frontier are derived in closed form. Based on these results, we give an empirical analysis with data from Chinese security markets. The analysis shows that parameter uncertainty has a great effect on the optimal investment strategy and the investment performance.
出处 《管理科学学报》 CSSCI 北大核心 2010年第12期1-9,共9页 Journal of Management Sciences in China
基金 教育部人文社会科学基金研究规划基金资助项目(07JA630031) 国家杰出青年科学基金资助项目(70825002)
关键词 参数不确定性 均值-方差模型 动态投资组合选择 贝叶斯学习 有效边界 parameter uncertainty mean-variance model dynamic portfolio selection Bayesian learning efficient frontier
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参考文献25

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二级参考文献47

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