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Risk and Return in High-Frequency Trading

Published online by Cambridge University Press:  19 September 2018

Abstract

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.

Type
Research Article
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2018 

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Footnotes

1

The authors thank Hank Bessembinder, Tarun Chordia, Thierry Foucault, Terry Hendershott, Charles Jones, Andrew Karolyi, Robert Korajczyk, Ananth Madhavan, Katya Malinova, Maureen O’Hara, Neil Pearson, Ryan Riordan, Gideon Saar, Ronnie Sadka, and Wei Xiong for their valuable feedback. The authors also thank Jennifer Conrad (the editor) and Ingrid Werner (the referee). The authors are grateful to Finansinspektionen for making data available for the article. Hagströmer is affiliated with the Swedish House of Finance and is grateful to the Jan Wallander and Tom Hedelius Foundation and the Tore Browaldh Foundation for research support.

References

Aït-Sahalia, Y., and Saglam, M.. “High-Frequency Traders: Taking Advantage of Speed.” Working Paper, National Bureau of Economic Research (2014).CrossRefGoogle Scholar
Biais, B.; Foucault, T.; and Moinas, S.. “Equilibrium Fast Trading.” Journal of Financial Economics, 116 (2015), 292313.CrossRefGoogle Scholar
Boehmer, E.; Li, D.; and Saar, G.. “The Competitive Landscape of High-Frequency Trading Firms.” Review of Financial Studies, 31 (2018), 22272276.CrossRefGoogle Scholar
Bongaerts, D., and Van Achter, M.. “High-Frequency Trading and Market Stability.” Working Paper, available at https://www.ssrn.com/abstract=2698702 (2016).CrossRefGoogle Scholar
Breckenfelder, J.“Competition between High-Frequency Traders, and Market Quality.” MPRA Working Paper (2013).CrossRefGoogle Scholar
Brogaard, J., and Garriott, C.. “High-Frequency Trading Competition.” Journal of Financial and Quantitative Analysis, forthcoming (2019).CrossRefGoogle Scholar
Brogaard, J.; Hagströmer, B.; Nordén, L.; and Riordan, R.. “Trading Fast and Slow: Colocation and Liquidity.” Review of Financial Studies, 28 (2015), 34073443.CrossRefGoogle Scholar
Brogaard, J.; Hendershott, T.; and Riordan, R.. “High-Frequency Trading and Price Discovery.” Review of Financial Studies, 27 (2014), 22672306.CrossRefGoogle Scholar
Budish, E.; Cramton, P.; and Shim, J.. “The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response.” Quarterly Journal of Economics, 30 (2015), 15471621.CrossRefGoogle Scholar
Carhart, M.On Persistence in Mutual Fund Performance.” Journal of Finance, 52 (1997), 5782.CrossRefGoogle Scholar
Chaboud, A.; Chiquoine, B.; Hjalmarsson, E.; and Vega, C.. “Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market.” Journal of Finance, 69 (2014), 20452084.CrossRefGoogle Scholar
Clark-Joseph, A.“Exploratory Trading.” Working Paper, Harvard University (2013).Google Scholar
Dugast, J., and Foucault, T.. “Data Abundance and Asset Price Informativeness.” Journal of Financial Economics, 130 (2018), 367391.CrossRefGoogle Scholar
Ellis, K.; Michaely, R.; and O’Hara, M.. “The Accuracy of Trade Classification Rules: Evidence from NASDAQ.” Journal of Financial and Quantitative Analysis, 35 (2000), 529551.CrossRefGoogle Scholar
Fama, E., and French, K.. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics, 33 (1993), 356.CrossRefGoogle Scholar
Fama, E., and MacBeth, J.. “Risk, Return, and Equilibrium: Empirical Tests.” Journal of Political Economy, 81 (1973), 607636.CrossRefGoogle Scholar
Foucault, T.; Hombert, J.; and Roşu, I.. “News Trading and Speed.” Journal of Finance, 71 (2016), 335382.CrossRefGoogle Scholar
Foucault, T.; Kozhan, R.; and Tham, W.. “Toxic Arbitrage.” Review of Financial Studies, 30 (2017), 10531094.CrossRefGoogle Scholar
Frank, R.Positional Externalities Cause Large and Preventable Welfare Losses.” American Economic Review, 95 (2005), 137141.CrossRefGoogle Scholar
Hagströmer, B., and Nordén, L.. “The Diversity of High-Frequency Traders.” Journal of Financial Markets, 16 (2013), 741770.CrossRefGoogle Scholar
Hagströmer, B.; Nordén, L.; and Zhang, D.. “How Aggressive Are High-Frequency Traders?Financial Review, 49 (2014), 395419.CrossRefGoogle Scholar
Hasbrouck, J.Intraday Price Formation in U.S. Equity Index Markets.” Journal of Finance, 58 (2003), 23752400.CrossRefGoogle Scholar
Hendershott, T., and Riordan, R.. “Algorithmic Trading and the Market for Liquidity.” Journal of Financial and Quantitative Analysis, 48 (2013), 10011024.CrossRefGoogle Scholar
Ho, T., and Stoll, H.. “The Dynamics of Dealer Markets Under Competition.” Journal of Finance, 38 (1983), 10531074.CrossRefGoogle Scholar
Hoffmann, P.A Dynamic Limit Order Market with Fast and Slow Traders.” Journal of Financial Economics, 113 (2014), 156169.CrossRefGoogle Scholar
Jovanovic, B., and Menkveld, A.. “Middlemen in Limit-Order Markets.” Working Paper, available at https://ssrn.com/abstract=1624329 (2015).Google Scholar
Kirilenko, A.; Kyle, A.; Samadi, M.; and Tuzun, T.. “The Flash Crash: High-Frequency Trading in an Electronic Market.” Journal of Finance, 72 (2017), 967998.CrossRefGoogle Scholar
Lee, C., and Ready, M.. “Inferring Trade Direction from Intraday Data.” Journal of Finance, 46 (1991), 733746.CrossRefGoogle Scholar
Malinova, K.; Park, A.; and Riordan, R.. “Do Retail Investors Suffer from High Frequency Traders?” Working Paper, available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2183806 (2016).Google Scholar
Menkveld, A., and Zoican, M.. “Need for Speed? Exchange Latency and Liquidity.” Review of Financial Studies, 30 (2017), 11881228.CrossRefGoogle Scholar
Petersen, M.Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches.” Review of Financial Studies, 22 (2009), 435480.CrossRefGoogle Scholar
Roşu, I.“Fast and Slow Informed Trading.” Working Paper, available at https://ssrn.com/abstract=1859265 (2016).Google Scholar
Shkilko, A., and Sokolov, K.. “Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity and Trading Costs.” Working Paper, Wilfrid Laurier University (2016).Google Scholar
Thompson, S.Simple Formulas for Standard Errors that Cluster by Both Firm and Time.” Journal of Financial Economics, 99 (2011), 110.CrossRefGoogle Scholar
U. S. Securities Exchange Commission. “Concept Release on Equity Market Structure.” Available at https://www.sec.gov/rules/concept/2010/34-61358.pdf(2010).Google Scholar
van Kervel, V., and Menkveld, A.. “High-Frequency Trading around Large Institutional Orders.” Journal of Finance, forthcoming (2019).CrossRefGoogle Scholar
Van Ness, B.; Van Ness, R.; and Warr, R.. “The Impact of Market-Maker Concentration on Adverse Selection Costs for NASDAQ Stocks.” Journal of Financial Research, 28 (2005), 461485.CrossRefGoogle Scholar
Weller, B.“Intermediation Chains and Specialization by Speed: Evidence from Commodity Futures Markets.” Working Paper, University of Chicago (2013).Google Scholar
Weston, J.Competition on the NASDAQ and the Impact of Recent Market Reforms.” Journal of Finance, 55 (2000), 25652598.CrossRefGoogle Scholar
Yao, C., and Ye, M.. “Why Trading Speed Matters: A Tale of Queue Rationing under Price Controls.” Review of Financial Studies, 31 (2018), 21572183.CrossRefGoogle Scholar
Yueshen, B.“Queuing Uncertainty in Limit Order Market.” Working Paper, available at https://ssrn.com/abstract=2336122 (2014).CrossRefGoogle Scholar
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