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Dealers and changing obligations: the case of stub quoting

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Listed:
  • Jared F. Egginton

    (Louisiana Tech University)

  • Bonnie F. Ness

    (University of Mississippi)

  • Robert A. Ness

    (University of Mississippi)

Abstract

We examine the liquidity providing behavior of NASDAQ market makers surrounding two periods of changing dealer obligation. The first change in November, 2007 is the relaxation of rule 4613, which required NASDAQ market makers to place two-sided quotes “reasonably related” to the current best bid and offer. The relaxation of this rule permitted NASDAQ market makers to post quotes far away from the prevailing market, a practice frequently referred to as stub quoting. The second is the Securities and Exchange Commission ban on stub quoting in December, 2010, which requires market makers to quote within a predefined distance from market prices. We find evidence that placing restrictions on stub quoting alters market makers’ liquidity providing behavior in both the 2007 and 2010 rule change periods. Stub quoting restrictions increase the time that market makers quote at the NBBO. We also find evidence that the proportion daily volume executed by market makers increases during the 2007 stub quoting restriction. We also find evidence that restrictions on stub quoting narrows spreads and reduces the price impact of trades. However, we find little evidence that stub quoting rules impact the participation of market makers during days with excessive volatility.

Suggested Citation

  • Jared F. Egginton & Bonnie F. Ness & Robert A. Ness, 2016. "Dealers and changing obligations: the case of stub quoting," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 919-941, November.
  • Handle: RePEc:kap:rqfnac:v:47:y:2016:i:4:d:10.1007_s11156-015-0525-1
    DOI: 10.1007/s11156-015-0525-1
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    References listed on IDEAS

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    1. Shafiqur Rahman & Chandrasekhar Krishnamurti & Alice Lee, 2005. "The Dynamics of Security Trades, Quote Revisions, and Market Depths for Actively Traded Stocks," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 91-124, September.
    2. Chung, Kee H. & Van Ness, Bonnie F. & Van Ness, Robert A., 1999. "Limit orders and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 53(2), pages 255-287, August.
    3. Grossman, Sanford J, 1992. "The Informational Role of Upstairs and Downstairs Trading," The Journal of Business, University of Chicago Press, vol. 65(4), pages 509-528, October.
    4. Stoll, Hans R, 1978. "The Supply of Dealer Services in Securities Markets," Journal of Finance, American Finance Association, vol. 33(4), pages 1133-1151, September.
    5. Li, Mingsheng & McCormick, Timothy & Zhao, Xin, 2005. "Order imbalance and liquidity supply: Evidence from the bubble burst of Nasdaq stocks," Journal of Empirical Finance, Elsevier, vol. 12(4), pages 533-555, September.
    6. Barclay, Michael J. & Hendershott, Terrence & Jones, Charles M., 2008. "Order Consolidation, Price Efficiency, and Extreme Liquidity Shocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(1), pages 93-121, March.
    7. Kee Chung & Chairat Chuwonganant & D. McCormick, 2006. "Order preferencing, adverse-selection costs, and the probability of information-based trading," Review of Quantitative Finance and Accounting, Springer, vol. 27(4), pages 343-364, December.
    8. Kee H. Chung & Xin Zhao, 2004. "Price And Quantity Quotes On Nasdaq: A Study Of Dealer Quotation Behavior," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(4), pages 497-519, December.
    9. Shane A. Corwin & Marc L. Lipson, 2000. "Order Flow and Liquidity around NYSE Trading Halts," Journal of Finance, American Finance Association, vol. 55(4), pages 1771-1801, August.
    10. Michael Goldstein & Andriy Shkilko & Bonnie Ness & Robert Ness, 2010. "Inter-market competition for NYSE-listed securities under decimals," Review of Quantitative Finance and Accounting, Springer, vol. 35(4), pages 371-391, November.
    11. David Porter & Yusif Simaan & Daniel Weaver & David Whitcomb, 2006. "Effect of the Actual Size Rule Under Market Stress," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 87-103, March.
    12. Shane A. Corwin & Marc L. Lipson, 2000. "Order Flow and Liquidity around NYSE Trading Halts," Journal of Finance, American Finance Association, vol. 55(4), pages 1771-1805, August.
    13. Goldstein, Michael A. & Kavajecz, Kenneth A., 2004. "Trading strategies during circuit breakers and extreme market movements," Journal of Financial Markets, Elsevier, vol. 7(3), pages 301-333, June.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    NASDAQ; Stub quotes; Quoting; Market microstructure;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G00 - Financial Economics - - General - - - General

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