IDEAS home Printed from https://ideas.repec.org/a/kap/jfsres/v54y2018i3d10.1007_s10693-017-0272-7.html
   My bibliography  Save this article

Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201

Author

Listed:
  • Ryan L. Davis

    (University of Alabama at Birmingham)

  • Stephen N. Jurich

    (School of Business, Dalton State College)

  • Brian S. Roseman

    (California State University)

  • Ethan D. Watson

    (University of North Carolina Wilmington)

Abstract

We provide a novel test of information-based theories of price clustering by examining trade, order, and the National Best Bid and Offer (NBBO) quote price clustering during periods when information is removed from the market. We use a natural experiment of short-sale restrictions resulting from Securities and Exchange Commission (SEC) Rule 201 to more effectively determine the impact of information on price clustering. We find evidence of increased price clustering for trades, orders, and NBBO prices during short-sale restrictions. Overall, our findings indicate that short-sale restrictions harm the price discovery process and lead to a reduction in market efficiency.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:jfsres:v:54:y:2018:i:3:d:10.1007_s10693-017-0272-7
    DOI: 10.1007/s10693-017-0272-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10693-017-0272-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10693-017-0272-7?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. Victor Niederhoffer, 1965. "A New Look at Clustering of Stock Prices," The Journal of Business, University of Chicago Press, vol. 39, pages 309-309.
    2. 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.
    3. Chinmay Jain & Pankaj Jain & Thomas H. McInish, 2012. "Short Selling: The Impact of SEC Rule 201 of 2010," The Financial Review, Eastern Finance Association, vol. 47(1), pages 37-64, February.
    4. Mola, Simona & Loughran, Tim, 2004. "Discounting and Clustering in Seasoned Equity Offering Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(1), pages 1-23, March.
    5. Adam C. Kolasinski & Adam Reed & Jacob R. Thornock, 2013. "Can Short Restrictions Actually Increase Informed Short Selling?," Financial Management, Financial Management Association International, vol. 42(1), pages 155-181, March.
    6. Stephen E. Christophe & Michael G. Ferri & James J. Angel, 2004. "Short-Selling Prior to Earnings Announcements," Journal of Finance, American Finance Association, vol. 59(4), pages 1845-1876, August.
    7. 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.
    8. Nilsson, Roland, 2008. "The value of shorting," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 880-891, May.
    9. Jeff Madura & Nivine Richie & Alan Tucker, 2006. "Trading Halts and Price Discovery," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(3), pages 311-328, December.
    10. 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.
    11. Dyl, Edward A. & Maberly, Edwin D., 1992. "Odd-Lot Transactions around the Turn of the Year and the January Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(4), pages 591-604, December.
    12. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang, 2013. "Shackling Short Sellers: The 2008 Shorting Ban," Review of Financial Studies, Society for Financial Studies, vol. 26(6), pages 1363-1400.
    13. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    14. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    15. Christie, William G & Harris, Jeffrey H & Schultz, Paul H, 1994. "Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1841-1860, December.
    16. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    17. Bessembinder, Hendrik & Kaufman, Herbert M., 1997. "A Comparison of Trade Execution Costs for NYSE and NASDAQ-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(3), pages 287-310, September.
    18. Eric C. Chang & Joseph W. Cheng & Yinghui Yu, 2007. "Short‐Sales Constraints and Price Discovery: Evidence from the Hong Kong Market," Journal of Finance, American Finance Association, vol. 62(5), pages 2097-2121, October.
    19. Figlewski, Stephen, 1981. "The Informational Effects of Restrictions on Short Sales: Some Empirical Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(4), pages 463-476, November.
    20. 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.
    21. Marcelle Arak & Richard Cook, 1997. "Do Daily Price Limits Act as Magnets? The Case of Treasury Bond Futures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(1), pages 5-20, August.
    22. M. F. M. Osborne, 1962. "Periodic Structure in the Brownian Motion of Stock Prices," Operations Research, INFORMS, vol. 10(3), pages 345-379, June.
    23. Maureen O'Hara & Chen Yao & Mao Ye, 2014. "What's Not There: Odd Lots and Market Data," Journal of Finance, American Finance Association, vol. 69(5), pages 2199-2236, October.
    24. Hardy Johnson, 2014. "Odd Lot Trades: The Behavior, Characteristics, and Information Content, Over Time," The Financial Review, Eastern Finance Association, vol. 49(4), pages 669-684, November.
    25. Sopranzetti, Ben J. & Datar, Vinay, 2002. "Price clustering in foreign exchange spot markets," Journal of Financial Markets, Elsevier, vol. 5(4), pages 411-417, October.
    26. 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.
    27. Comerton-Forde, Carole & Tang, Kar Mei, 2009. "Anonymity, liquidity and fragmentation," Journal of Financial Markets, Elsevier, vol. 12(3), pages 337-367, August.
    28. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang, 2008. "Which Shorts Are Informed?," Journal of Finance, American Finance Association, vol. 63(2), pages 491-527, April.
    29. Andriy Shkilko & Bonnie Van Ness & Robert Van Ness, 2012. "Short Selling and Intraday Price Pressures," Financial Management, Financial Management Association International, vol. 41(2), pages 345-370, June.
    30. Aslı Aşçıoğlu & Carole Comerton‐Forde & Thomas H. McInish, 2007. "Price Clustering on the Tokyo Stock Exchange," The Financial Review, Eastern Finance Association, vol. 42(2), pages 289-301, May.
    31. Huang, Roger D. & Stoll, Hans R., 2001. "Tick Size, Bid-Ask Spreads, and Market Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 503-522, December.
    32. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    33. Victor Niederhoffer, 1965. "Clustering of Stock Prices," Operations Research, INFORMS, vol. 13(2), pages 258-265, April.
    34. Shmuel Hauser & Haim Kedar-Levy & Batia Pilo & Itzhak Shurki, 2006. "The Effect of Trading Halts on the Speed of Price Discovery," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(1), pages 83-99, February.
    35. Boehme, Rodney D. & Danielsen, Bartley R. & Sorescu, Sorin M., 2006. "Short-Sale Constraints, Differences of Opinion, and Overvaluation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(2), pages 455-487, June.
    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. Jurich, Stephen N. & Mishra, Ajay Kumar & Parikh, Bhavik, 2020. "Indecisive algos: Do limit order revisions increase market load?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    2. Ahmed Baig & Benjamin M. Blau & Todd G. Griffith, 2021. "Firm Opacity and the Clustering of Stock Prices: the Case of Financial Intermediaries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 60(2), pages 187-206, December.

    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. Ahn, Hee-Joon & Cai, Jun & Cheung, Yan Leung, 2005. "Price clustering on the limit-order book: Evidence from the Stock Exchange of Hong Kong," Journal of Financial Markets, Elsevier, vol. 8(4), pages 421-451, November.
    2. 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.
    3. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    4. Jörg Rieger & Kirsten Rüchardt & Bodo Vogt, 2011. "Comparing High Frequency Data of Stocks that are Traded Simultaneously in the US and Germany: Simulated Versus Empirical Data," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 126-142, December.
    5. Shyu, Yih-Wen & Chan, Kam C. & Liang, Hsin-Yu, 2018. "Spillovers of price efficiency and informed trading from short sales to margin purchases in absence of uptick rule," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 163-183.
    6. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    7. Van Le, 2016. "The effect of short-sale restrictions: another perspective," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 12(5), pages 700-714, October.
    8. Lallouache, Mehdi & Abergel, Frédéric, 2014. "Tick size reduction and price clustering in a FX order book," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 488-498.
    9. 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.
    10. Stephen L. Lenkey, 2021. "Informed Trading with a Short-Sale Prohibition," Management Science, INFORMS, vol. 67(3), pages 1803-1824, March.
    11. Bharati, Rakesh & Crain, Susan J. & Kaminski, Vincent, 2012. "Clustering in crude oil prices and the target pricing zone hypothesis," Energy Economics, Elsevier, vol. 34(4), pages 1115-1123.
    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. 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.
    14. 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.
    15. Brown, Philip & Chua, Angeline & Mitchell, Jason, 2002. "The influence of cultural factors on price clustering: Evidence from Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 307-332, June.
    16. Wang, Yuchen & Wang, Xiaoming, 2023. "Economic policy uncertainty and information intermediary: The case of short seller," Economic Modelling, Elsevier, vol. 120(C).
    17. Hae Mi Choi, 2020. "Short‐sale constraints and informational efficiency to private information: A natural experiment," The Financial Review, Eastern Finance Association, vol. 55(4), pages 625-643, November.
    18. Hasan, Iftekhar & Massoud, Nadia & Saunders, Anthony & Song, Keke, 2015. "Which financial stocks did short sellers target in the subprime crisis?," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 87-103.
    19. Stratmann, Thomas & Welborn, John W., 2016. "Informed short selling, fails-to-deliver, and abnormal returns," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 81-102.
    20. Bessler, Wolfgang & Vendrasco, Marco, 2022. "Short-selling restrictions and financial stability in Europe: Evidence from the Covid-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

    More about this item

    Keywords

    Price clustering; Orders; Short-sale restrictions; Rule 201;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:kap:jfsres:v:54:y:2018:i:3:d:10.1007_s10693-017-0272-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.