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分类依据与纠错

AI 根据所提供的论文材料归类:摘要直接研究高频交易、市场微观结构噪声,以及价格波动和跳跃。

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关注这篇论文的作者
Celso Brunetti

高频交易者与价格过程

研究问题
高频与低频交易者如何分别关联价格变化、波动和跳跃,价格过程又如何影响不同交易者的交易强度及流动性供给?
方法与思路
作者利用可识别每笔标普五百 eMini 交易对手的数据,按交易速度分类参与者和交易,实证分析交易活动与价格过程的双向联系。
材料陈述的贡献
摘要称高频者与低频者交易时成功率较高;高频交易较少与更多波动和跳跃相伴,噪声上升则伴随其交易活动增加。
阅读关注点
应核对高低频分类、成功率与跳跃的测量,以及双向影响是否具有因果识别依据、如何处理共同冲击和反向因果。
阅读边界
仅据所给出版社摘要,无法验证其因果措辞的识别基础;观察到交易强度与波动的关系,不能直接推广为干预效果。

原文摘要

Using a dataset that uniquely identifies counterparties to each S&P500 eMini transaction, we classify each market participant as high or low frequency, and each transaction, by the speed of the traders involved. We investigate empirically the comparative influence of high and low frequency traders on the price process, and conversely the influence of the price process on the trading of high and low frequency traders. We find that high frequency traders have a particularly high success rate on each transaction, measured by the likelihood that the following price change will go in their direction as well as by the amount of time they have to wait to realize their gain, when trading against low frequency traders. Contrary to common wisdom, we find that high frequency traders’ activity does not induce volatility or jumps. In fact, it is their absence that is problematic: volatility and jumps are more prevalent in periods when they trade less intensely. Conversely, we find that spikes in volatility and jumps cause high frequency traders to trade less intensely, decreasing their provision of liquidity. Finally, looking at the market microstructure noise component to the price model, we find that higher level of noise generates trading opportunities for high frequency traders and lead them to increase their trading activity.

笔记与分组
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