在连续时间金融市场模型的研究中，随机理论和方法已成为重要的研究手段之一。
In the study of continuous time finance market modeling, the theory and methods of stochastics have been one of important research tools.
在连续时间金融市场模型的研究中，随机控制理论和方法已成为重要的研究手段之一。
In the study of continuous time financial market modeling, the theories and methods of stochastic control have been one of important tools.
本文提出一种在频率域内直接估计随机动态系统的连续时间模型参数的快速迭代算法。
In this paper, a direct procedure for estimating the parameters of a continuous-time model of a dynamical stochastic system is presented.
我们将该问题描述为一个连续时间随机控制模型，通过对价值函数性质的讨论，我们给出了模型的封闭解。
We formulate the problem as a continuous-time stochastic control model. Through analyzing the properties of the expected value function, we derive its close-form solution.
本文利用倒向随机微分方程研究了连续时间下基于可交易证券的风险资产定价模型。
This paper develops a continuous time model by means of the BSDE methodology, in order to price risky assets in terms of the real probability measure.
本文利用倒向随机微分方程研究了连续时间下基于可交易证券的风险资产定价模型。
This paper develops a continuous time model by means of the BSDE methodology, in order to price risky assets in terms of the real probability measure.
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