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)