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High frequency trading and end-of-day price dislocation

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  • Aitken, Michael
  • Cumming, Douglas
  • Zhan, Feng

Abstract

We show that the presence of high frequency trading (HFT) has significantly mitigated the frequency and severity of end-of-day price dislocation. The effect of HFT is more pronounced on days when end of day price dislocation is more likely to be the result of market manipulation. Moreover, the effect of HFT is more pronounced than the role of trading rules, surveillance, enforcement and legal conditions in curtailing the frequency and severity of end-of-day price dislocation. We show our findings are robust to different proxies of the start of HFT by trade size, cancellation of orders, and co-location.

Suggested Citation

  • Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2015. "High frequency trading and end-of-day price dislocation," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 330-349.
    • Handle: RePEc:eee:jbfina:v:59:y:2015:i:c:p:330-349
    DOI: 10.1016/j.jbankfin.2015.06.011
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    1. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    2. Rafael La Porta & Florencio Lopez‐De‐Silanes & Andrei Shleifer, 2006. "What Works in Securities Laws?," Journal of Finance, American Finance Association, vol. 61(1), pages 1-32, February.
    3. Scholtus, Martin & van Dijk, Dick & Frijns, Bart, 2014. "Speed, algorithmic trading, and market quality around macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 89-105.
    4. Sofia Johan, 2008. "Global Market Surveillance," American Law and Economics Review, Oxford University Press, vol. 10(2), pages 454-506.
    5. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    6. Peng, Lin & Röell, Ailsa A, 2009. "Managerial Incentives and Stock Price Manipulation," CEPR Discussion Papers 7442, C.E.P.R. Discussion Papers.
    7. Jeffrey MacIntosh, 2013. "High Frequency Traders: Angels or Devils?," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 391, October.
    8. Craig Pirrong, 2004. "Detecting Manipulation in Futures Markets: The Ferruzzi Soybean Episode," American Law and Economics Review, Oxford University Press, vol. 6(1), pages 28-71.
    9. William A. Branch & George W. Evans, 2011. "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 159-191, July.
    10. Merrick, John Jr & Naik, Narayan Y. & Yadav, Pradeep K., 2005. "Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze," Journal of Financial Economics, Elsevier, vol. 77(1), pages 171-218, July.
    11. Hillion, Pierre & Suominen, Matti, 2004. "The manipulation of closing prices," Journal of Financial Markets, Elsevier, vol. 7(4), pages 351-375, October.
    12. Ajeyo Banerjee & E. Woodrow Eckard, 2001. "Why Regulate Insider Trading? Evidence from the First Great Merger Wave (1897-1903)," American Economic Review, American Economic Association, vol. 91(5), pages 1329-1349, December.
    13. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    14. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    15. Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert W. Vishny, 1998. "Law and Finance," Journal of Political Economy, University of Chicago Press, vol. 106(6), pages 1113-1155, December.
    16. Jackson, Howell E. & Roe, Mark J., 2009. "Public and private enforcement of securities laws: Resource-based evidence," Journal of Financial Economics, Elsevier, vol. 93(2), pages 207-238, August.
    17. Allen, Franklin & Gorton, Gary, 1992. "Stock price manipulation, market microstructure and asymmetric information," European Economic Review, Elsevier, vol. 36(2-3), pages 624-630, April.
    18. David Easley & Marcos M. López de Prado & Maureen O'Hara, 2012. "Flow Toxicity and Liquidity in a High-frequency World," Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1457-1493.
    19. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    20. Mark M. Carhart & Ron Kaniel & David K. Musto & Adam V. Reed, 2002. "Leaning for the Tape: Evidence of Gaming Behavior in Equity Mutual Funds," Journal of Finance, American Finance Association, vol. 57(2), pages 661-693, April.
    21. Buti,Marco & Deroose,Servaas & Gaspar,Vitor & Martins,João Nogueira (ed.), 2010. "The Euro," Cambridge Books, Cambridge University Press, number 9789279098420, December.
    22. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    23. anonymous, 2011. "Focus on Authors," Marketing Science, INFORMS, vol. 30(3), pages 562-564, 05-06.
    24. Djankov, Simeon & La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei, 2008. "The law and economics of self-dealing," Journal of Financial Economics, Elsevier, vol. 88(3), pages 430-465, June.
    25. Xue, Yi & Gençay, Ramazan, 2012. "Trading frequency and volatility clustering," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 760-773.
    26. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    27. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    28. Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
    29. Pirrong, Craig, 1999. "The organization of financial exchange markets: Theory and evidence," Journal of Financial Markets, Elsevier, vol. 2(4), pages 329-357, November.
    30. anonymous, 2011. "Focus on Authors," Marketing Science, INFORMS, vol. 30(2), pages 385-388, 03-04.
    31. anonymous, 2011. "Focus on Authors," Marketing Science, INFORMS, vol. 30(1), pages 187-190, 01-02.
    32. Holger Spamann, 2010. "The "Antidirector Rights Index" Revisited," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 467-486, February.
    33. Cumming, Douglas & Johan, Sofia & Li, Dan, 2011. "Exchange trading rules and stock market liquidity," Journal of Financial Economics, Elsevier, vol. 99(3), pages 651-671, March.
    34. Rajesh K. Aggarwal & Guojun Wu, 2006. "Stock Market Manipulations," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1915-1954, July.
    35. Carole Comerton-Forde & James Rydge, 2006. "Market Integrity and Surveillance Effort," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(2), pages 149-172, April.
    36. Tālis J. Putniņš, 2012. "Market Manipulation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 26(5), pages 952-967, December.
    37. Edelen, Roger M. & Kadlec, Gregory B., 2012. "Delegated trading and the speed of adjustment in security prices," Journal of Financial Economics, Elsevier, vol. 103(2), pages 294-307.
    38. Carole Comerton-Forde & Tālis J. Putniņš, 2014. "Stock Price Manipulation: Prevalence and Determinants," Review of Finance, European Finance Association, vol. 18(1), pages 23-66.
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    Cited by:

    1. Jeffrey MacIntosh, 2013. "High Frequency Traders: Angels or Devils?," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 391, October.
    2. Gider, Jasmin & Schmickler, Simon & Westheide, Christian, 2019. "High-frequency trading and price informativeness," SAFE Working Paper Series 248, Leibniz Institute for Financial Research SAFE.
    3. Goergen, Marc & Renneboog, Luc & Zhao, Yang, 2019. "Insider trading and networked directors," Journal of Corporate Finance, Elsevier, vol. 56(C), pages 152-175.
    4. Agarwalla, Sobhesh Kumar & Jacob, Joshy & Varma, Jayanth R., 2014. "High Frequency Manipulation at Futures Expiry: The Case of Cash Settled Indian Single Stock Futures," IIMA Working Papers WP2014-02-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    5. Cumming, Douglas & Dannhauser, Robert & Johan, Sofia, 2015. "Financial market misconduct and agency conflicts: A synthesis and future directions," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 150-168.
    6. Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
    7. Cumming, Douglas & Johan, Sofia, 2019. "Capital-market effects of securities regulation: Prior conditions, implementation, and enforcement revisited," Finance Research Letters, Elsevier, vol. 31(C).
    8. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2015. "Exchange trading rules, surveillance and suspected insider trading," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 311-330.
    9. Cumming, Douglas & Ji, Shan & Peter, Rejo & Tarsalewska, Monika, 2020. "Market manipulation and innovation," Journal of Banking & Finance, Elsevier, vol. 120(C).
    10. Atanasov, Vladimir & Davies, Ryan J. & Merrick, John J., 2015. "Financial intermediaries in the midst of market manipulation: Did they protect the fool or help the knave?," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 210-234.
    11. Ekinci, Cumhur & Ersan, Oguz, 2018. "A new approach for detecting high-frequency trading from order and trade data," Finance Research Letters, Elsevier, vol. 24(C), pages 313-320.
    12. Shang, Chenguang, 2020. "Trade credit and stock liquidity," Journal of Corporate Finance, Elsevier, vol. 62(C).
    13. Carlos Lenczewski, 2016. "The Role of High-Frequency Traders in the Foreign Exchange Market Bid-Ask Spreads," EUSP Department of Economics Working Paper Series Ec-01/16, European University at St. Petersburg, Department of Economics.
    14. Anand, Amber & Venkataraman, Kumar, 2016. "Market conditions, fragility, and the economics of market making," Journal of Financial Economics, Elsevier, vol. 121(2), pages 327-349.
    15. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    16. Vasilios Mavroudis & Hayden Melton, 2019. "Libra: Fair Order-Matching for Electronic Financial Exchanges," Papers 1910.00321, arXiv.org.
    17. Zhou, Hao & Kalev, Petko S. & Frino, Alex, 2020. "Algorithmic trading in turbulent markets," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    18. Xu, Liao & Yin, Xiangkang & Zhao, Jing, 2019. "The sidedness and informativeness of ETF trading and the market efficiency of their underlying indexes," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    19. Jia Zhai & Yi Cao & Xuemei Ding, 2018. "Data analytic approach for manipulation detection in stock market," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 897-932, April.

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    Keywords

    High frequency trading; Price dislocation; Manipulation;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • K22 - Law and Economics - - Regulation and Business Law - - - Business and Securities Law

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