Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-15T14:19:12.277Z Has data issue: false hasContentIssue false

Anticipatory Traders and Trading Speed

Published online by Cambridge University Press:  28 August 2018

Abstract

We examine whether speed is an important characteristic of traders who anticipate local price trends. These anticipatory participants correctly trade prior to the overall market and systematically act before other participants. They use manual and algorithmic order entry methods, but most are not fast enough to be high frequency traders (HFTs). Those anticipating price trends have impacts as if they are informed traders, while the case for anticipatory participants affecting the volume of other traders is rejected. A follow-up sample shows significant attrition in accounts and difficulty maintaining the anticipatory strategies. To identify anticipatory traders, we devise novel methods to isolate local price trends using order book data from the West Texas Intermediate (WTI) crude oil futures market.

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

1

We thank an anonymous referee, Jonathan Brogaard, Jennifer Conrad (the editor), Joel Hasbrouck, Scott Irwin, Steve Kane, Albert Menkveld, Scott Mixon, David Reiffen, Michel Robe, John Roberts, Sayee Srinivasan, and participants at the 2016 AFA meetings (High Frequency Trading session) for comments on earlier versions of this research. The coauthors of this paper prepared this research under the direction of the Office of the Chief Economist at the CFTC, where economists produce original research on a broad range of topics relevant to the CFTC’s mandate to regulate commodity futures markets, commodity options markets, and the expanded mandate to regulate the swaps markets pursuant to the Dodd–Frank Wall Street Reform and Consumer Protection Act. These papers are often presented at conferences and many of these papers are later published by peer-review and other scholarly outlets. The analyses and conclusions expressed in this paper are those of the authors and do not reflect the views of other members of the Office of the Chief Economist, other CFTC staff, or the CFTC itself. All errors and omissions, if any, are the authors’ own responsibility.

References

Allen, F., and Gale, D.. “Stock-Price Manipulation.” Review of Financial Studies, 5 (1992), 503529.Google Scholar
Angel, J. J.; Harris, L. E.; and Spatt, C. S.. “Equity Trading in the 21st Century: An Update.” Quarterly Journal of Finance, 5 (2015), 139.Google Scholar
Bajgrowicz, P., and Scaillet, O.. “Technical Trading Revisited: False Discoveries, Persistence Tests, and Transaction Costs.” Journal of Financial Economics, 106 (2012), 447684.Google Scholar
Barras, L.; Scaillet, O.; and Wermers, R.. “False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas.” Journal of Finance, 65 (2010), 179216.Google Scholar
Benjamini, Y., and Hochberg, Y.. “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.” Journal of the Royal Statistical Society, Series B, 57 (1995), 289300.Google Scholar
Bessembinder, H., and Kaufman, H.. “A Comparison of Trade Execution Costs for NYSE and NASDAQ-Listed Stocks.” Journal of Financial and Quantitative Analysis, 32 (1997), 287310.Google Scholar
Bessembinder, H., and Venkataraman, K.. “Bid–Ask Spreads: Measuring Trade Execution Costs in Financial Markets.” In Encyclopedia of Quantitative Finance, Cont, R., ed. New York, NY: John Wiley & Sons (2010), 184189.Google Scholar
Biais, B., and Foucault, T.. “HFT and Market Quality.” Bankers, Markets & Investors, 128 (2014), 519.Google Scholar
Biais, B.; Foucault, T.; and Moinas, S.. “Equilibrium Fast Trading.” Journal of Financial Economics, 116 (2015), 292313.Google Scholar
Bikhchandani, S.; Hirshleifer, D.; and Welch, I.. “A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades.” Journal of Political Economy, 100 (1992), 9921026.Google Scholar
Boyd, N. E., and Kurov, A.. “Trader Survival: Evidence from the Energy Futures Market.” Journal of Futures Markets, 32 (2012), 809836.Google Scholar
Brogaard, J., and Garriott, C.. “High Frequency Trading Competition.” Journal of Financial and Quantitative Analysis, forthcoming (2019).Google Scholar
Brogaard, J.; Hendershott, T.; and Riordan, R.. “High Frequency Trading and Price Discovery.” Review of Financial Studies, 27 (2014), 22672306.Google Scholar
Brunetti, C.; Büyükşahin, B.; and Harris, J. H.. “Speculators, Prices, and Volatility.” Journal of Financial and Quantitative Analysis, 51 (2016), 15451574.Google Scholar
Brunnermeier, M., and Pedersen, L.. “Predatory Trading.” Journal of Finance, 60 (2005), 18251863.Google Scholar
Carrion, A.Very Fast Money: High Frequency Trading on the NASDAQ.” Journal of Financial Markets, 16 (2013), 680711.Google Scholar
Chan, L. K. C.; Jegadeesh, N.; and Lakonishok, J.. “Momentum Strategies.” Journal of Finance, 51 (1996), 16811713.Google Scholar
Clark-Joseph, A.“Exploratory Trading.” Working Paper, University of Illinois at Urbana–Champaign (2012).Google Scholar
De Long, J. B.; Shleifer, A.; Summers, L.; and Waldman, R.. “Positive Feedback Investment Strategies and Destabilizing Rational Speculation.” Journal of Finance, 14 (1990), 379395.Google Scholar
Dong, L.; Polk, C.; and Skouras, S.. “A Tug of War: Overnight versus Intraday Expected Returns.” Journal of Financial Economics, forthcoming (2019).Google Scholar
Easley, D.; de Prado, M. L.; and O’Hara, M.. “Discerning Information from Trade Data.” Journal of Financial Economics, 120 (2016), 269286.Google Scholar
Fishe, R. P. H., and Smith, A. D.. “Identifying Informed Traders in Futures Markets.” Journal of Financial Markets, 15 (2012), 329359.Google Scholar
Fishe, R. P. H., and Smith, A. D.. “High Frequency Trading of Commodities.” In Commodities: Markets, Performance, and Strategies, Baker, H. K., Filbeck, G., and Harris, J., eds. New York, NY: Oxford University Press (2018), 447468.Google Scholar
Foucault, T.; Kozhan, R.; and Tham, W. W.. “Toxic Arbitrage.” Review of Financial Studies, 30 (2014), 10531094.Google Scholar
Frino, A.; Ibikunle, G.; Mollica, V.; and Steffen, T.. “Anticipatory Trading in Brent Futures: Evidence from the Unregulated Dated Brent Benchmark.” Working Paper, University of Edinburgh (2016).Google Scholar
Gibbons, J. W.“Report of the Trustee’s Investigation and Recommendation: MF Global.” United States Bankruptcy Court, Southern District of New York, Case No. 11-2790 (MG) SIPA (June 4, 2012).Google Scholar
Hagströmer, B.; Nordén, L.; and Zhang, D.. “How Aggressive Are High-Frequency Traders?Financial Review, 49 (2014), 395419.Google Scholar
Han, J.; Khapko, M.; and Kyle, A.. “Liquidity with High-Frequency Market Making.” Working Paper, Stockholm School of Economics (2014).Google Scholar
Harvey, C. R.; Liu, Y.; and Zhu, H.. “… and the Cross-Section of Expected Returns.” Review of Financial Studies, 29 (2014), 568.Google Scholar
Hasbrouck, J., and Saar, G.. “Low-Latency Trading.” Journal of Financial Markets, 16 (2013), 646679.Google Scholar
Hautsch, N. Econometrics of Financial High-Frequency Data. New York, NY: Springer (2012).Google Scholar
Haynes, R., and Roberts, J. S.. “Automated Trading in Futures Markets.” White Paper, Office of the Chief Economist, U.S. Commodity Futures Trading Commission (2017).Google Scholar
Hendershott, T.; Jones, C.; and Menkveld, A.. “Does Algorithmic Trading Improve Liquidity?Journal of Finance, 66 (2011), 133.Google Scholar
Hendershott, T., and Menkveld, A.. “Price Pressures.” Journal of Financial Economics, 114 (2014), 405423.Google Scholar
Hirschey, N. H.“Do High-Frequency Traders Anticipate Buying and Selling Pressure?” IFA Working Paper, London Business School (2016).Google Scholar
Hirshleifer, D.; Subrahmanyam, A.; and Titman, S.. “Security Analysis and Trading Patterns When Some Investors Receive Information before Others.” Journal of Finance, 49 (1994), 16651698.Google Scholar
Hoffmann, P.A Dynamic Limit Order Market with Fast and Slow Traders.” Journal of Financial Economics, 113 (2014), 156169.Google Scholar
Holden, C. W., and Jacobsen, S.. “Liquidity Measurement Problems in Fast, Competitive Markets: Expensive and Cheap Solutions.” Journal of Finance, 69 (2014), 17471785.Google Scholar
Jiang, J. G.; Lo, I.; and Valente, G.. “High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market.” Working Paper, Bank of Canada (2013).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.Google Scholar
Lo, A. W.The Statistics of Sharpe Ratios.” Financial Analysts Journal, 58 (2002), 3652.Google Scholar
McCrank, J.Ranks of Commodities Brokers Dwindle as U.S. Futures Industry Evolves.” Reuters News Service (July 2, 2015).Google Scholar
Menkveld, A. J.High Frequency Trading and the New Market Makers.” Journal of Financial Markets, 16 (2013), 712740.Google Scholar
Menkveld, A. J.The Economics of High-Frequency Trading: Taking Stock.” Annual Review of Financial Economics, 8 (2016), 124.Google Scholar
Menkveld, A. J., and Yueshen, B. Z.. “The Flash Crash: A Cautionary Tale About Highly Fragmented Markets.” Management Science, forthcoming (2019).Google Scholar
Menkveld, A. J., and Zoican, M.. “Need for Speed? Exchange Latency and Liquidity.” Review of Financial Studies, 30 (2017), 11881228.Google Scholar
Nagel, S.Evaporating Liquidity.” Review of Financial Studies, 25 (2012), 20052039.Google Scholar
O’Hara, M.High Frequency Market Microstructure.” Journal of Financial Economics, 116 (2015), 257270.Google Scholar
Raman, V.; Robe, M. A.; and Yadav, P. K.. “Liquidity Provision under Stress: The Fast, the Slow, and the Dead.” Working Paper, American University (2016).Google Scholar
Storey, J. D.A Direct Approach to False Discovery Rates.” Journal of the Royal Statistical Society, 64 (2002), 479498.Google Scholar
Subrahmanyam, A., and Zheng, H.. “Limit Order Placement by High-Frequency Traders.” Borsa Istanbul Review, 16 (2016), 185209.Google Scholar
U.S. Securities and Exchange Commission. “Equity Market Structure Literature Review, Part II: High Frequency Trading.” Staff of the Division of Trading and Markets (Mar. 18, 2014).Google Scholar
Wald, A.Sequential Tests of Statistical Hypotheses.” Annals of Mathematical Statistics, 16 (1945), 117186.Google Scholar
Wald, A.Optimum Character of the Sequential Probability Ratio Test.” Annals of Mathematical Statistics, 19 (1948), 326339.Google Scholar
Ye, M.; Yao, C.; and Gai, J.. “The Externalities of High Frequency Trading.” Working Paper, University of Illinois at Urbana–Champaign (2013).Google Scholar