The Impact of High-Frequency Trading in Experimental Markets

被引:1
|
作者
Berger, Nathanael [1 ]
DeSantis, Mark [2 ]
Porter, David [2 ]
机构
[1] MobLab Inc, Pasadena, CA 91107 USA
[2] Chapman Univ, Argyros Sch Business & Econ, Econ Sci Inst, Orange, CA USA
来源
JOURNAL OF INVESTING | 2020年 / 29卷 / 04期
关键词
BAD;
D O I
10.3905/joi.2020.1.132
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The impact of high frequency trading (HFT) strategies on market quality has been debated in both public forums and academic studies for years. Although some consider HFT to be inherently bad, others view it as providing important liquidity to markets. Thus, the question regarding HFT's impact on market quality remains open. To address this, the authors conducted two sets of controlled laboratory experiments, one with and one without an HFT robot trader. The authors focus on two aspects of HFT trading strategies that have the potential to affect market quality negatively: arbitrage and directional trading. Indeed the authors designed the HFT robot to have a perfect view of the market before executing a trade to provide it the best chance to influence the market. The introduction of this HFT robot had a significant positive impact on trading volume and bid depth, but it had a negligible impact on other market quality indicators such as efficiency, price volatility, bid-ask spread, and book depth. Thus, the authors find that in this polar case, HFT is neither a drain on nor a boost to market quality, suggesting that HFT trading, in its worst case, has a benign effect on the market.
引用
收藏
页码:7 / 18
页数:12
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