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Bayes estimation via filtering equation for O-U process with discrete noises: application to the micro-movement of stock prices

机译:通过离散噪声滤除O-U流程的筛选方程的贝叶斯估计:应用于股票价格的微观运动

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A model of 0-U process with discrete noises is proposed for the price micro-movement, which refers to the transactional price behavior. The model can be viewed as a multivariate point process and framed as a filtering problem with counting process observations. Under this framework, the whole sample paths are observable and are used for parameter estimation. Based on the filtering equation, we construct a consistent recursive algorithm to compute the approximate posterior and the Bayes estimates. Finally, Bayes estimates for a two-month transaction prices of Microsoft are obtained.
机译:为价格微观运动提出了一种具有离散噪声的0-U过程的模型,这是指交易价格行为。该模型可以被视为多变量点处理,并以计数过程观测为滤波问题。在该框架下,可以观察到整个样品路径,并用于参数估计。基于过滤方程,我们构建一个一致的递归算法来计算近似后的后部和贝斯估计。最后,获得了Microsoft为期两月交易价格的贝叶斯估计。

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