摘要
在假设证券价格服从几何布朗运动的基础上·首先,建立了证券投资决策最优控制问题数学模型,并把经济学家提出的风险规避系数概念引入到证券投资决策问题中·然后,根据随机最优控制理论,推导出了风险规避投资者的值函数所满足的带有风险规避系数的动态规划偏微分方程,并且得到了基于随机最优控制问题值函数的证券投资最优策略·特别,当风险规避系数无限大时,得到了风险规避投资者的最优投资策略,最后,给出一个算例·
An optimal control model for the security investment decision was established based on the assumption that the security price follows the geometric Brownian Motion. The conception of risk aversion coefficient proposed by economists was introduced into the model for security investment decision. Dynamic programming partial differential equation with the coefficient of risk aversion was obtained on the basis of the stochastic control theory. The equation can meet the value of the risk aversion investor. The security investment optimal tactics was set up based on the value function of the stochastic optimal control. Particularly,the security investment optimal tactics for the investor of risk aversion was also found out for the infinite coefficient of risk aversion. An example was provided.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
1999年第3期330-332,共3页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金
关键词
证券投资
风险规避
最优控制
动态规划
security investment, risk aversion, stochastic control, dynamic programming.