IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v41y2014icp222-235.html
   My bibliography  Save this article

Clustering of intraday order-sizes by uninformed versus informed traders

Author

Listed:
  • Garvey, Ryan
  • Wu, Fei

Abstract

We examine quantity choice patterns by equity traders across trading hours in the U.S. Controlling for intraday variations in trading activity, we find that traders submit more non-rounded order sizes and more order sizes overall leading up to a day’s market close. Traders who submit more distinct order sizes pay a higher cost to trade, and they are also less informed about future prices. Our results suggest that the goal to satisfy specific quantity demands rises across the day. This differs from total trading demand, which resembles a U-shape pattern intraday, but is consistent with less trade-size clustering at the ends of fiscal quarters.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jbfina:v:41:y:2014:i:c:p:222-235
    DOI: 10.1016/j.jbankfin.2014.01.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378426614000405
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbankfin.2014.01.026?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.

    References listed on IDEAS

    as
    1. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
    2. Glosten, Lawrence R, 1994. "Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    3. Hendershott, Terrence & Moulton, Pamela C., 2011. "Automation, speed, and stock market quality: The NYSE's Hybrid," Journal of Financial Markets, Elsevier, vol. 14(4), pages 568-604, November.
    4. 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.
    5. 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.
    6. Garvey, Ryan & Wu, Fei, 2009. "Intraday time and order execution quality dimensions," Journal of Financial Markets, Elsevier, vol. 12(2), pages 203-228, May.
    7. 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.
    8. Christie, William G & Schultz, Paul H, 1994. "Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    9. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    10. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    11. 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.
    12. Grossman, Sanford J & Miller, Merton H & Cone, Kenneth R & Fischel, Daniel R & Ross, David J, 1997. "Clustering and Competition in Asset Markets," Journal of Law and Economics, University of Chicago Press, vol. 40(1), pages 23-60, April.
    13. Owain ap Gwilym & Lei Meng, 2010. "Size clustering in the FTSE100 index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(5), pages 432-443, May.
    14. Kandel, Shmuel & Sarig, Oded & Wohl, Avi, 2001. "Do investors prefer round stock prices? Evidence from Israeli IPO auctions," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1543-1551, August.
    15. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    16. Laurie Simon Hodrick & Pamela C. Moulton, 2009. "Liquidity: Considerations of a Portfolio Manager," Financial Management, Financial Management Association International, vol. 38(1), pages 59-74, March.
    17. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    18. Alexander, Gordon J. & Peterson, Mark A., 2007. "An analysis of trade-size clustering and its relation to stealth trading," Journal of Financial Economics, Elsevier, vol. 84(2), pages 435-471, May.
    19. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    20. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    21. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    22. Moulton, Pamela C., 2005. "You can't always get what you want: Trade-size clustering and quantity choice in liquidity," Journal of Financial Economics, Elsevier, vol. 78(1), pages 89-119, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Dionne, Georges & Zhou, Xiaozhou, 2019. "Information Environments and High Price Impact Trades: Implication for Volatility and Price Efficiency," Working Papers 19-3, HEC Montreal, Canada Research Chair in Risk Management, revised 04 Nov 2019.
    2. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    3. Doojin Ryu, 2017. "Comprehensive market microstructure model: considering the inventory holding costs," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(2), pages 183-201, March.
    4. Dionne, Georges & Zhou, Xiaozhou, 2024. "High price impact trades identication and its implication for volatility and price efficiency," Working Papers 24-3, HEC Montreal, Canada Research Chair in Risk Management.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Tao, 2019. "Trade-size clustering and price efficiency," Japan and the World Economy, Elsevier, vol. 49(C), pages 195-203.
    2. 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.
    3. 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.
    4. John Board & Charles Sutcliffe & Stephen Wells, 2002. "Transparency and Fragmentation," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-4039-0707-3.
    5. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017, January-A.
    6. repec:uts:finphd:34 is not listed on IDEAS
    7. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    8. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    9. Moulton, Pamela C., 2005. "You can't always get what you want: Trade-size clustering and quantity choice in liquidity," Journal of Financial Economics, Elsevier, vol. 78(1), pages 89-119, October.
    10. Hatheway, Frank & Kwan, Amy & Zheng, Hui, 2017. "An Empirical Analysis of Market Segmentation on U.S. Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2399-2427, December.
    11. Alexander, Gordon J. & Peterson, Mark A., 2007. "An analysis of trade-size clustering and its relation to stealth trading," Journal of Financial Economics, Elsevier, vol. 84(2), pages 435-471, May.
    12. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    13. Niemeyer, Jonas & Sandås, Patrik, 1995. "An Empirical Analysis of the Trading Structure at the Stockholm Stock Exchange," SSE/EFI Working Paper Series in Economics and Finance 44, Stockholm School of Economics.
    14. 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.
    15. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    16. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    17. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    18. Chakravarty, Sugato & Harris, Fredreck H. deB. & Wood, Roger A., 2001. "Do Bid-Ask Spreads or Bid and Ask Depths Convey New Information First?," Purdue University Economics Working Papers 1149, Purdue University, Department of Economics.
    19. G. Wuyts, 2007. "Stock Market Liquidity.Determinants and Implications," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 279-316.
    20. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    21. 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.

    More about this item

    Keywords

    Trading; Liquidity; Order size choice; Equities;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:eee:jbfina:v:41:y:2014:i:c:p:222-235. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

    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.