IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v35y2012i2p159-182.html
   My bibliography  Save this article

Trade Size And Price Clustering: The Case Of Short Sales And The Suspension Of Price Tests

Author

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

Abstract

No abstract is available for this item.

Suggested Citation

  • Benjamin M. Blau & Bonnie F. Van Ness & Robert A. Van Ness, 2012. "Trade Size And Price Clustering: The Case Of Short Sales And The Suspension Of Price Tests," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 35(2), pages 159-182, June.
  • Handle: RePEc:bla:jfnres:v:35:y:2012:i:2:p:159-182
    DOI: j.1475-6803.2012.01313.x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1475-6803.2012.01313.x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/j.1475-6803.2012.01313.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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Garvey, Ryan & Wu, Fei, 2014. "Clustering of intraday order-sizes by uninformed versus informed traders," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 222-235.
    2. Qin Wang & Jun Zhang, 2016. "Trade Size Clustering In The E-Mini Index Futures Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 39(3), pages 247-262, September.
    3. Chen, Tao, 2019. "Trade-size clustering and price efficiency," Japan and the World Economy, Elsevier, vol. 49(C), pages 195-203.
    4. Tao Chen, 2020. "Trade‐size clustering and informed trading in global markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 579-597, October.
    5. Narayan, Paresh Kumar & Smyth, Russell, 2013. "Has political instability contributed to price clustering on Fiji's stock market?," Journal of Asian Economics, Elsevier, vol. 28(C), pages 125-130.
    6. Fernando Palao & Ángel Pardo Tornero, 2012. "When size matters: Clustering in the European Carbon Market," Working Papers. Serie EC 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    7. 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.
    8. Baig, Ahmed S. & Sabah, Nasim, 2020. "Does short selling affect the clustering of stock prices?," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 270-277.
    9. Chaudhry, Sajid M. & Bajoori, Elnaz & Nandeibam, Shasi, 2019. "Clustered pricing in the corporate loan market: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 275-296.
    10. 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.
    11. Verousis, Thanos & ap Gwilym, Owain, 2013. "Trade size clustering and the cost of trading at the London Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 91-102.
    12. Ahmed S. Baig & Benjamin M. Blau & R. Jared DeLisle, 2022. "Does mutual fund ownership reduce stock price clustering? Evidence from active and index funds," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 615-647, February.
    13. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    14. 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.
    15. Telli, Şahin & Zhao, Xufeng, 2023. "Clustering in Bitcoin balance," Finance Research Letters, Elsevier, vol. 55(PA).
    16. Baig , Ahmed & Blau , Ben & Hao, Jie, 2020. "Accounting Information Quality and the Clustering of Stock Prices," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 182-210, November.

    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:35:y:2012:i:2:p:159-182. 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.