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arXiv 1102.5606math.PRmath.STstat.TH
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具有重分布尾的Ornstein-Uhlenbeck型过程

Ornstein-Uhlenbeck type processes with heavy distribution tails

K. Borovkov, G. Decrouez

摘要:

我们考虑一个改造的Ornstein-Uhlenbeck过程模型,可以是一个很好的候选人为现实生活中的过程,其特征在于结合了时间恢复行为与重分布尾巴。我们首先介绍了澳大利亚一家主要上市公司的原木价格的探索性统计分析的结果,展示了这种时间序列的几个典型的关键特征。受这些发现的启发,我们提出了一个简单的改造Ornstein-Uhlenbeck过程模型,并分析了它的属性,表明该模型是能够复制我们的实证研究结果。我们还讨论了三种不同的估计的漂移系数的基本(不可观测)的Ornstein-Uhlenbeck过程中,这是关键的描述依赖的过程。

英文摘要:

We consider a transformed Ornstein-Uhlenbeck process model that can be a good candidate for modelling real-life processes characterized by a combination of time-reverting behaviour with heavy distribution tails. We begin with presenting the results of an exploratory statistical analysis of the log prices of a major Australian public company, demonstrating several key features typical of such time series. Motivated by these findings, we suggest a simple transformed Ornstein-Uhlenbeck process model and analyze its properties showing that the model is capable of replicating our empirical findings. We also discuss three different estimators for the drift coefficient in the underlying (unobservable) Ornstein-Uhlenbeck process which is the key descriptor of dependence in the process.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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