摘要
本文运用随机最优控制理论、随机分析中的It(?)公式及非线性滤波技术,研究投资者极大化终止时刻期望效用的最优投资策略问题。论文的前面部分,分别在完备信息和不完备信息情形下,运用It(?)公式与非线性滤波技术,导出Hamilton-Jacobi-Bellman(HJB)方程,得到了最优投资决策的一阶条件,并根据It(?)公式,提出了求解该一阶条件中的偏微分方程的成功率较高的试探求解法。在投资者具有幂函数效用情形下,运用这种新的试探求解法,本文导出了完备信息下的最优投资策略。特别地,在投资者具有对数效用函数情形下,分别就完备信息与部分信息情形,直接运用It(?)公式,得到了最优投资决策的简单计算公式,通过比较完备信息与不完备信息情形下投资者的最优目标函数的差异,得到了(内部交易者获得的)信息价值的简洁公式,从而给出了信息价值的精确度量,并且该度量值易于投资者操作使用。最后,讨论贷款利率高于存款利率的投资策略问题,分别就部分信息对数效用和完备信息幂函数效用,代替复杂的随机动态规划方法,运用It(?)公式和非线性规划技术,同样得到了最优投资策略的简单解。
This paper utilizes stochastic optimal control theory, Ito formula in stochastic analysis and nonlinear filter technique to maximize the expected utility from the terminal wealth. Firstly, the paper provides a simple review to some problems on investment and consumption. Secondly, the paper derives HJB equation by means of It: formula and nonlinear filter technique, and obtains some necessary conditions of the optimal strategy. Furthermore, the paper puts forward a successful trial solution to solve the partial differential equation for that necessary conditions. By utilizing this trial solution, the paper obtains the optimal strategy for the power utility under full information. Especially, the paper provides the optimal solution for logarithmic utility under both lull and partial information, by utilizing Ito formula only. By comparing optimal target function, the paper shows a concise formula to the valuation of information. In the end, assuming the borrowing rate is bigger than saving rate , the paper provides explicit solutions to both logarithmic utility with partial information and power utility with full information by Ito's formula other than the complicated dynamic programming. All of the strategies are suitable for operating online.
引文
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