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Intraday Stealth Trading: Which Trades Move Prices During Periods Of High Volume?

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  • Benjamin M. Blau
  • Bonnie F. Van Ness
  • Robert A. Van Ness

Abstract

Research documents a U‐shaped intraday pattern of returns. We examine which trade sizes drive the U‐shaped pattern and find that intraday price changes from larger trades exhibit a U‐shaped pattern whereas price changes from smaller trades show a reverse U‐shaped pattern. We argue that price changes from smaller trades are higher during the middle of the day because informed investors break up their trades to disguise their information when intraday volume is low. Price changes from larger trades are likely higher at the beginning and end of the day because high volume allows informed investors to increase their trade size without revealing their information to the market.

Suggested Citation

  • Benjamin M. Blau & Bonnie F. Van Ness & Robert A. Van Ness, 2009. "Intraday Stealth Trading: Which Trades Move Prices During Periods Of High Volume?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(1), pages 1-21, March.
    • Handle: RePEc:bla:jfnres:v:32:y:2009:i:1:p:1-21
    DOI: 10.1111/j.1475-6803.2008.01240.x
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    Cited by:

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    2. Chang, Chuang-Chang & Hsieh, Pei-Fang & Lai, Hung-Neng, 2013. "The price impact of options and futures volume in after-hours stock market trading," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 984-1007.
    3. Hardy Johnson & Ansley Chua & Tianming Zhang, 2018. "Odd lot trading and earnings announcements," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 529-551, August.
    4. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    5. Blau, Benjamin M. & Van Ness, Bonnie F. & Van Ness, Robert A., 2009. "Information and trade sizes: The case of short sales," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(4), pages 1371-1388, November.
    6. Hardy Johnson & Brian Roseman, 2017. "Odd Lot Order Aggressiveness And Stealth Trading," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(2), pages 249-281, June.
    7. Kaspar Dardas & Andre Güttler, 2011. "Are directors’ dealings informative? Evidence from European stock markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(2), pages 111-148, June.
    8. Ascioglu, Asli & Comerton-Forde, Carole & McInish, Thomas H., 2011. "Stealth trading: The case of the Tokyo Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 19(2), pages 194-207, April.
    9. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    10. Cebiroglu, Gökhan & Hautsch, Nikolaus & Walsh, Christopher, 2019. "Revisiting the stealth trading hypothesis: Does time-varying liquidity explain the size-effect?," CFS Working Paper Series 625, Center for Financial Studies (CFS).
    11. Hsieh, Wen-liang G. & He, Huei-Ru, 2014. "Informed trading, trading strategies and the information content of trading volume: Evidence from the Taiwan index options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 187-215.
    12. Alexis Stenfors & Masayuki Susai, 2021. "Stealth Trading in FX Markets," Working Papers in Economics & Finance 2021-02, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    13. Będowska-Sójka, Barbara, 2020. "Do aggressive orders affect liquidity? An evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 54(C).
    14. Lien, Donald & Hung, Pi-Hsia & Chen, Hung-Ju, 2021. "Who knows more and makes more? A perspective of order submission decisions across investor types," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 381-398.
    15. Xiang, Ju & Zhu, Xiaoneng, 2014. "Intraday asymmetric liquidity and asymmetric volatility in FTSE-100 futures market," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 134-148.
    16. Donald Lien & Pi-Hsia Hung & Chiu-Ting Pan, 2020. "Price limit changes, order decisions, and stock price movements: an empirical analysis of the Taiwan Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 239-268, July.
    17. Chen-Chang Lo & Yaling Lin & Jiann-Lin Kuo & Yi Ting Wen, 2021. "The Relation Between Trading Volume Concentration and Stock Returns," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(3), pages 82-89, 09-2021.
    18. Lin, Yaling, 2014. "An empirical study on pre-trade transparency and intraday stealth trading," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 26-40.
    19. Chang, Sanders S. & Chang, Lenisa V. & Wang, F. Albert, 2014. "A dynamic intraday measure of the probability of informed trading and firm-specific return variation," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 80-94.
    20. Abad, David & Pascual, Roberto, 2015. "The friction-free weighted price contribution," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 226-239.
    21. Johnson, Hardy & Van Ness, Bonnie F. & Van Ness, Robert A., 2017. "Are all odd-lots the same? Odd-lot transactions by order submission and trader type," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 1-11.
    22. Louhichi, Waël, 2011. "What drives the volume-volatility relationship on Euronext Paris?," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 200-206, August.

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