IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v27y2004i3p309-328.html
   My bibliography  Save this article

Trading Costs And Quote Clustering On The Nyse And Nasdaq After Decimalization

Author

Listed:
  • Kee H. Chung
  • Bonnie F. Van Ness
  • Robert A. Van Ness

Abstract

We examine execution costs and quote clustering on the New York Stock Exchange (NYSE) and NASDAQ using 517 matching pairs of stocks after decimalization. We find that the mean spread of NASDAQ stocks is greater than the mean spread of NYSE stocks when spreads are equally weighted across stocks, and the difference is greater for smaller stocks. In contrast, the mean NASDAQ spread is narrower than the mean NYSE spread when spreads are volume weighted, and the difference is statistically significant for large stocks. Both NYSE and NASDAQ stocks exhibit high degrees of quote clustering on nickels and dimes, and quote clustering has a significant effect on spreads in both markets.

Suggested Citation

  • Kee H. Chung & Bonnie F. Van Ness & Robert A. Van Ness, 2004. "Trading Costs And Quote Clustering On The Nyse And Nasdaq After Decimalization," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(3), pages 309-328, September.
    • Handle: RePEc:bla:jfnres:v:27:y:2004:i:3:p:309-328
    DOI: 10.1111/j.1475-6803.2004.00096.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1475-6803.2004.00096.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1475-6803.2004.00096.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yoshiro Tsutsui & Kenjiro Hirayama & Takahiro Tanaka & Nobutaka Uesugi, 2007. "Special Quotes Invoke Autocorrelation in Japanese Stock Prices," Asian Economic Journal, East Asian Economic Association, vol. 21(4), pages 369-386, December.
    2. Blau, Benjamin M. & Griffith, Todd G., 2016. "Price clustering and the stability of stock prices," Journal of Business Research, Elsevier, vol. 69(10), pages 3933-3942.
    3. Ashton, John K. & Hudson, Robert S., 2008. "Interest rate clustering in UK financial services markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1393-1403, July.
    4. Ryan L. Davis & Stephen N. Jurich & Brian S. Roseman & Ethan D. Watson, 2018. "Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(3), pages 345-367, December.
    5. Chakravarty, Sugato & Panchapagesan, Venkatesh & Wood, Robert A., 2005. "Did decimalization hurt institutional investors?," Journal of Financial Markets, Elsevier, vol. 8(4), pages 400-420, November.
    6. Salomonsson, Marcus, 2009. "Introducing a spread into the Kyle model," SSE/EFI Working Paper Series in Economics and Finance 713, Stockholm School of Economics.
    7. Vuorenmaa, Tommi A., 2008. "Decimalization, Realized Volatility, and Market Microstructure Noise," MPRA Paper 8692, University Library of Munich, Germany.
    8. José Yagüe & J. Gómez-Sala, 2005. "Price and tick size preferences in trading activity changes around stock split executions," Spanish Economic Review, Springer;Spanish Economic Association, vol. 7(2), pages 111-138, June.
    9. Robert P. Bartlett & Justin McCrary, 2020. "Subsidizing Liquidity with Wider Ticks: Evidence from the Tick Size Pilot Study," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 262-316, June.
    10. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.
    11. Bidisha Chakrabarty & Zhaohui Han & Konstantin Tyurin & Xiaoyong Zheng, 2006. "A Competing Risk Analysis of Executions and Cancellations in a Limit Order Market," CAEPR Working Papers 2006-015, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    12. Meng, Lei & Verousis, Thanos & ap Gwilym, Owain, 2013. "A substitution effect between price clustering and size clustering in credit default swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 139-152.
    13. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    14. Xin Zhao & Kee H. Chung, 2006. "Decimal Pricing and Information‐Based Trading: Tick Size and Informational Efficiency of Asset Price," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5‐6), pages 753-766, June.
    15. Ohta, Wataru, 2006. "An analysis of intraday patterns in price clustering on the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 30(3), pages 1023-1039, March.
    16. ap Gwilym, Owain & Verousis, Thanos, 2010. "Price clustering and underpricing in the IPO aftermarket," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 89-97, March.
    17. Baig, Ahmed S. & Blau, Benjamin M. & Whitby, Ryan J., 2019. "Price clustering and economic freedom: The case of cross-listed securities," Journal of Multinational Financial Management, Elsevier, vol. 50(C), pages 1-12.
    18. Davies, Ryan J. & Kim, Sang Soo, 2009. "Using matched samples to test for differences in trade execution costs," Journal of Financial Markets, Elsevier, vol. 12(2), pages 173-202, May.
    19. Mathew, Prem G. & Michayluk, David & Kofman, Paul, 2007. "Are foreign issuers complying with Regulation Fair Disclosure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 246-260, July.
    20. Bill Hu & Joon Ho Hwang & Christine Jiang, 2014. "The Impact of Earnings Guidance Cessation on Information Asymmetry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(1-2), pages 73-99, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jfnres:v:27:y:2004:i:3:p:309-328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.