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Cross Listing and Price Volatility Based on Time Series Filter in Chinese Stock Market

机译:基于时间序列过滤器的中国股票交叉上市与价格波动

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As the fundamental model tool, time series filter can help specialist and researcher to examine volatility. The time series filter may play a significant role in statistical model building. The foreign law and market bond the behavior of self-interest in emerging market. The empirical evidence results indicate that Coefficient of GARCH (1) in Table 1 is bigger than Coefficient of GARCH (1) in Table 2.After cross listing, price volatility of the share is increased for different expectations. The relation between cross listing and price volatility of the share may be changed with different markets. We provide theoretical and practical evidence for time series filter on volatility as a normal approach.
机译:作为基本模型工具,时间序列过滤器可以帮助专家和研究人员检查波动率。时间序列过滤器可能在统计模型的建立中起重要作用。外国法律和市场将新兴市场中的自我利益行为结合在一起。经验证据表明,表1中的GARCH(1)系数大于表2中的GARCH(1)系数。交叉上市后,不同期望值的股价波动性增加。交叉上市与股票价格波动之间的关系可能会因不同的市场而发生变化。我们为波动率的时间序列过滤器提供了理论和实践证据,这是一种正常方法。

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