We study performance and competition among firms engaging in high-frequency trading (HFT). We construct measures of latency and find that differences in relative latency account for large differences in HFT firms’ trading performance. HFT firms that improve their latency rank due to colocation upgrades see improved trading performance. The stronger performance associated with speed comes through both the short-lived information channel and the risk management channel, and speed is useful for various strategies, including market making and cross-market arbitrage. We find empirical support for many predictions regarding relative latency competition
This chapter provides a review on key literature on High-Frequency Trading (HFT) over an 11-year per...
© 2019 Elsevier B.V. Using the staggered entry of Chi-X in 12 European equity markets as a source of...
This paper characterizes the trading strategy of a large high frequency trader (HFT). The HFT incurs...
We study empirically how competition among high-frequency traders (HFTs) affects their trading behav...
We develop three artificial stock markets populated with two types of market participants — HFT scal...
This paper investigates the importance of speed for technical trading rule performance for three hig...
Traders differ in speed and their speed differences matter. I model strategic interactions induced w...
This is the first empirical evidence on the competition between high-frequency traders (HFTs) and it...
This paper provides evidence regarding high-frequency trader (HFT) trading performance, trading cost...
This paper reviews recent theoretical and empirical research on high-frequency trading (HFT). Econom...
© 2019 Elsevier B.V.The make-take preferences of investors depend on high-frequency trading (HFT) co...
We analyze the impact of high frequency trading in financial markets based on a model with three ty...
We study the performance of a high-frequency pairs trading (PT) strategy on the 100 most liquid stoc...
International audienceThis study develops a conceptual model of the 7 V′s of big data analytics to g...
High-Frequency Trading ( HFT ) is a diverse set of algorithmic trading strategies characterized by f...
This chapter provides a review on key literature on High-Frequency Trading (HFT) over an 11-year per...
© 2019 Elsevier B.V. Using the staggered entry of Chi-X in 12 European equity markets as a source of...
This paper characterizes the trading strategy of a large high frequency trader (HFT). The HFT incurs...
We study empirically how competition among high-frequency traders (HFTs) affects their trading behav...
We develop three artificial stock markets populated with two types of market participants — HFT scal...
This paper investigates the importance of speed for technical trading rule performance for three hig...
Traders differ in speed and their speed differences matter. I model strategic interactions induced w...
This is the first empirical evidence on the competition between high-frequency traders (HFTs) and it...
This paper provides evidence regarding high-frequency trader (HFT) trading performance, trading cost...
This paper reviews recent theoretical and empirical research on high-frequency trading (HFT). Econom...
© 2019 Elsevier B.V.The make-take preferences of investors depend on high-frequency trading (HFT) co...
We analyze the impact of high frequency trading in financial markets based on a model with three ty...
We study the performance of a high-frequency pairs trading (PT) strategy on the 100 most liquid stoc...
International audienceThis study develops a conceptual model of the 7 V′s of big data analytics to g...
High-Frequency Trading ( HFT ) is a diverse set of algorithmic trading strategies characterized by f...
This chapter provides a review on key literature on High-Frequency Trading (HFT) over an 11-year per...
© 2019 Elsevier B.V. Using the staggered entry of Chi-X in 12 European equity markets as a source of...
This paper characterizes the trading strategy of a large high frequency trader (HFT). The HFT incurs...