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Locked and crossed markets on NASDAQ and the NYSE

Author Info

Listed author(s):
  • Shkilko, Andriy V.
  • Van Ness, Bonnie F.
  • Van Ness, Robert A.
Registered author(s):

    Abstract

    The NBBO for an average active stock is non-positive (locked or crossed) 10.58% and 4.05% of the time on, respectively, the NASDAQ and the NYSE inter-markets. Locks and crosses are frequent fleeting events that usually accompany significant price changes. Non-positive NBBOs arise because of (i) simultaneous and (ii) tardy quote updates, (iii) electronically unreachable quotes, (iv) reluctance to trade against autoquotes, (v) order transit considerations, and (vi) ECN liquidity attraction efforts. Most locks and crosses result from competitive trading practices in contemporary fragmented markets.

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    File URL: http://www.sciencedirect.com/science/article/pii/S1386-4181(07)00003-1
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    Article provided by Elsevier in its journal Journal of Financial Markets.

    Volume (Year): 11 (2008)
    Issue (Month): 3 (August)
    Pages: 308-337

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    Handle: RePEc:eee:finmar:v:11:y:2008:i:3:p:308-337
    Contact details of provider: Web page: http://www.elsevier.com/locate/finmar

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    1. Bessembinder, Hendrik, 2003. "Quote-based competition and trade execution costs in NYSE-listed stocks," Journal of Financial Economics, Elsevier, vol. 70(3), pages 385-422, December.
    2. Goldstein, Michael A. & Shkilko, Andriy V. & Van Ness, Bonnie F. & Van Ness, Robert A., 2008. "Competition in the market for NASDAQ securities," Journal of Financial Markets, Elsevier, vol. 11(2), pages 113-143, May.
    3. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    4. Robert Battalio & Brian Hatch & Robert Jennings, 2004. "Toward a National Market System for U.S. Exchange-listed Equity Options," Journal of Finance, American Finance Association, vol. 59(2), pages 933-962, 04.
    5. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "The Impact of Trades on Daily Volatility," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1241-1277.
    6. Charles Cao & Eric Ghysels & Frank Hatheway, 2000. "Price Discovery without Trading: Evidence from the Nasdaq Preopening," Journal of Finance, American Finance Association, vol. 55(3), pages 1339-1365, 06.
    7. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 529-551, December.
    8. Boehmer, Ekkehart, 2005. "Dimensions of execution quality: Recent evidence for US equity markets," Journal of Financial Economics, Elsevier, vol. 78(3), pages 553-582, December.
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    Cited by:

    1. Hoffmann, Peter, 2016. "Adverse selection, market access, and inter-market competition," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 108-119.
    2. Lescourret, Laurence, 2012. "Non-Fundamental Information and Market-Makers' Behavior during the NASDAQ Preopening Session," ESSEC Working Papers WP1212, ESSEC Research Center, ESSEC Business School.
    3. Garvey, Ryan & Wu, Fei, 2011. "Information, speed vs. cost trade-offs, and order routing decisions in U.S. equity markets," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 408-422, June.
    4. Thierry Foucault & Roman Kozhan & Wing Wah Tham, 2017. "Toxic Arbitrage," Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1053-1094.

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