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Non-parametric Method to Estimate PIN (Probability of Informed Trading) in China Stock Market

机译:估算中国股市估算PIN(知情交易概率)的非参数学方法

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This article discusses the validity of EKOP's non-parametric model to estimate PIN as the measurement of information risk in China Stock Market. The results show that non-parametric model can improve the optimizing efficiency in parameters estimation and achieve more precise results by relaxing the assumption of independence among event days. Moreover we test the pricing ability of PIN based on non-parametric model. It turns out that PIN has significant explanatory power to excess returns in China Stock Market, though negative effect. Furthermore, we analyze the causes of the empirical results.
机译:本文讨论了EKOP非参数模型的有效性,以估算PIN作为中国股票市场信息风险的测量。结果表明,非参数模型可以通过放松事件日之间独立的假设来提高参数估计中的优化效率,实现更多精确的结果。此外,我们测试了基于非参数模型的引脚的定价能力。事实证明,PIN在中国股票市场的超额回报具有显着解释力,尽管负面影响。此外,我们分析了经验结果的原因。

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