Low-Latency Trading

Joel Hasbrouck, Gideon Saar
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引用次数: 1

Abstract

We define low-latency activity as strategies that respond to market events in the millisecond environment, the hallmark of proprietary trading by high-frequency trading firms. We propose a new measure of low-latency activity that can be constructed from publicly-available NASDAQ data to investigate the impact of high-frequency trading on the market environment. Our measure is highly correlated with NASDAQ-constructed estimates of high-frequency trading, but it can be computed from data that are more widely-available. We use this measure to study how low-latency activity affects market quality both during normal market conditions and during a period of declining prices and heightened economic uncertainty. Our conclusion is that increased low-latency activity improves traditional market quality measures — lowering short-term volatility, decreasing spreads, and increasing displayed depth in the limit order book. Of particular importance is that our findings suggest that increased low-latency activity need not work to the detriment of long-term investors in the current market structure for U.S. equities.
低延迟交易
我们将低延迟活动定义为在毫秒环境中响应市场事件的策略,这是高频交易公司自营交易的标志。我们提出了一种新的低延迟活动测量方法,可以从公开可用的纳斯达克数据构建,以调查高频交易对市场环境的影响。我们的测量与纳斯达克构建的高频交易估计高度相关,但它可以从更广泛可用的数据中计算出来。我们使用这一措施来研究在正常市场条件下,以及在价格下跌和经济不确定性加剧的时期,低延迟活动如何影响市场质量。我们的结论是,低延迟活动的增加改善了传统的市场质量指标——降低了短期波动性,减少了点差,增加了限价订单的显示深度。特别重要的是,我们的研究结果表明,在当前的美国股票市场结构中,低延迟活动的增加不一定会损害长期投资者的利益。
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