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Trade size, trade frequency, and the volatility-volume relation

机译:交易规模,交易频率和波动率-数量关系

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Purpose - The Chinese stock market is a typical emerging market with special features that are very different from those of mature markets. The objective of this study is to investigate whether and how these features affect the volatility-volume relation for Chinese stocks. Design/methodology/approach - This paper examines the roles of the number of trades, size of trades, and share volume in explaining the volatility-volume relation in the Shanghai Stock Exchange with high frequency trade data used. Findings - The results confirm that the volatility-volume relation is driven mainly by the number of trades on the Chinese stock market. The number of trades explains the volatility-volume relation better than the size of trades. Furthermore, some results are obtained that differ from those of mature markets, such as the US market. The results show that the second largest sized trades affect the volatility more than other trades on the Chinese market. Originality/value - The results show that, in the Shanghai Stock Exchange, informed traders camouflage their private information or manipulation behavior through the second largest sized trades. The results may have important implications for work explaining the volatility-volume relation on the Chinese stock market, further providing a reference by which to regulate emerging markets.
机译:目的-中国股市是典型的新兴市场,具有与成熟市场截然不同的特点。这项研究的目的是调查这些特征是否以及如何影响中国股票的波动量关系。设计/方法/方法-本文研究交易次数,交易规模和股票数量在解释上海证券交易所波动率-数量关系时所使用的高频交易数据中的作用。研究结果-结果证实了波动率与交易量的关系主要受中国股市交易数量的驱动。交易数量比波动规模更好地解释了波动率-数量关系。此外,还获得了一些与成熟市场(例如美国市场)不同的结果。结果表明,第二大交易对波动率的影响大于中国市场上的其他交易。原创性/价值-结果表明,在上海证券交易所,知情交易者通过第二大交易掩饰了其私人信息或操纵行为。该结果可能对解释中国股票市场的波动率-数量关系,为进一步规范新兴市场提供参考具有重要意义。

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