本文引入了基于日内价格幅度与回报两个测度指标的随机波动率模型。
In this paper we propose to a stochastic volatility model based on daily returns and intra-daily high-low price range jointly.
运用李雅普·诺夫直接方法研究了脉冲微分系统及其摄动系统关于两个测度的实际稳定性。
The practical stability in terms of two measures of impulsive differential systems and its perturbed systems is developed by Lyapunov direct method.
虚拟数据集将这两个测度重命名为Sale Total，并且使用加法合并运算符将历史数据集和最近数据集合并起来。
The virtual cube renames both these measures to Sale Total, and it aggregates the historic and recent cubes using the addition merge operator.
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