IDEAS home Printed from https://ideas.repec.org/p/ind/igiwpp/2012-011.html
   My bibliography  Save this paper

Measuring and explaining the asymmetry of liquidity

Author

Listed:
  • Rajat Tayal

    (Indira Gandhi Institute of Development Research)

  • Susan Thomas

    (Indira Gandhi Institute of Development Research)

Abstract

This paper examines transactions costs in buying versus selling using a large database of snapshots of the limit order book. On the equity spot market, there is clear evidence of asymmetry in liquidity: transactions costs are lower for buy market orders when compared with sell market orders. In the identical setting, trading in single stock futures is also observed, and there is little evidence of asymmetry. This suggests that asymmetry in liquidity may be driven by short sales restrictions which are present on the spot market but not on the single stock futures market.

Suggested Citation

  • Rajat Tayal & Susan Thomas, 2012. "Measuring and explaining the asymmetry of liquidity," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-011, Indira Gandhi Institute of Development Research, Mumbai, India.
    • Handle: RePEc:ind:igiwpp:2012-011
    as

    Download full text from publisher

    File URL: http://www.igidr.ac.in/pdf/publication/WP-2012-011.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hedvall, Kaj & Niemeyer, Jonas & Rosenqvist, Gunnar, 1997. "Do buyers and sellers behave similarly in a limit order book? A high-frequency data examination of the Finnish stock exchange," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 279-293, June.
    2. David Michayluk & Karyn Neuhauser, 2008. "Is Liquidity Symmetric? A Study of Newly Listed Internet and Technology Stocks," International Review of Finance, International Review of Finance Ltd., vol. 8(3‐4), pages 159-178, September.
    3. Keim, Donald B & Madhaven, Ananth, 1996. "The Upstairs Market for Large-Block Transactions: Analysis and Measurement of Price Effects," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 1-36.
    4. Kraus, Alan & Stoll, Hans R, 1972. "Price Impacts of Block Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 27(3), pages 569-588, June.
    5. Potters, Marc & Bouchaud, Jean-Philippe, 2003. "More statistical properties of order books and price impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 133-140.
    6. Vasiliki Plerou & Parameswaran Gopikrishnan & Xavier Gabaix & H. Eugene Stanley, 2001. "Quantifying Stock Price Response to Demand Fluctuations," Papers cond-mat/0106657, arXiv.org.
    7. Huang, Roger D. & Ting, Christopher, 2008. "A functional approach to the price impact of stock trades and the implied true price," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The costs in buying versus the costs in selling
      by Ajay Shah in Ajay Shah's blog on 2012-05-26 01:48:00
    2. The costs in buying versus the costs in selling
      by Ajay Shah in Citizen Economists on 2012-06-01 00:10:43

    Citations

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


    Cited by:

    1. Omar Euch & Masaaki Fukasawa & Mathieu Rosenbaum, 2018. "The microstructural foundations of leverage effect and rough volatility," Finance and Stochastics, Springer, vol. 22(2), pages 241-280, April.
    2. Szymon Stereńczak, 2021. "Minimum tick size reduction and stock liquidity: lessons from the Warsaw Stock Exchange," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 545-576.
    3. El Euch Omar & Fukasawa Masaaki & Rosenbaum Mathieu, 2016. "The microstructural foundations of leverage effect and rough volatility," Papers 1609.05177, arXiv.org.

    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. Fei Ren & Li-Xin Zhong, 2011. "Price impact asymmetry of institutional trading in Chinese stock market," Papers 1110.3133, arXiv.org.
    2. Rama Cont & Arseniy Kukanov & Sasha Stoikov, 2010. "The Price Impact of Order Book Events," Papers 1011.6402, arXiv.org, revised Apr 2011.
    3. Ren, Fei & Zhong, Li-Xin, 2012. "The price impact asymmetry of institutional trading in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2667-2677.
    4. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
    5. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    6. Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
    7. Baruch, Shmuel & Panayides, Marios & Venkataraman, Kumar, 2017. "Informed trading and price discovery before corporate events," Journal of Financial Economics, Elsevier, vol. 125(3), pages 561-588.
    8. Ettore Croci & Giovanni Petrella, 2015. "Price changes around hedge fund trades: disentangling trading and disclosure effects," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 19(1), pages 25-46, February.
    9. Wei Cui & Anthony Brabazon & Michael O'Neill, 2011. "Dynamic trade execution: a grammatical evolution approach," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 2(1/2), pages 4-31.
    10. Sornette, Didier & Zhou, Wei-Xing, 2006. "Importance of positive feedbacks and overconfidence in a self-fulfilling Ising model of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 704-726.
    11. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2013. "How efficiency shapes market impact," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1743-1758, November.
    12. Dimitri Vayanos, 1999. "Strategic Trading and Welfare in a Dynamic Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(2), pages 219-254.
    13. Monia Antar Limem & Faouzi Jilani, 2013. "Large trades on the Tunisian Stock Exchange: Downstairs versus upstairs stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 14(6), pages 410-422, December.
    14. Adam Blazejewski & Richard Coggins, 2004. "A piecewise linear model for trade sign inference," Finance 0412012, University Library of Munich, Germany.
    15. Berkman, Henk & Brailsford, Tim & Frino, Alex, 2005. "A note on execution costs for stock index futures: Information versus liquidity effects," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 565-577, March.
    16. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
    17. Aktas, Osman Ulas & Kryzanowski, Lawrence, 2014. "Market impacts of trades for stocks listed on the Borsa Istanbul," Emerging Markets Review, Elsevier, vol. 20(C), pages 152-175.
    18. Dimitri Vayanos & Jiang Wang, 2012. "Market Liquidity -- Theory and Empirical Evidence," NBER Working Papers 18251, National Bureau of Economic Research, Inc.
    19. Danilova, Albina & Julliard, Christian, 2014. "Information asymmetries, volatility, liquidity, and the Tobin Tax," LSE Research Online Documents on Economics 60957, London School of Economics and Political Science, LSE Library.
    20. Alex Frino & Vito Mollica & Maria Grazia Romano & Zeyang Zhou, 2017. "Asymmetry in the Permanent Price Impact of Block Purchases and Sales: Theory and Empirical Evidence," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 359-373, April.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ind:igiwpp:2012-011. 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: Shamprasad M. Pujar (email available below). General contact details of provider: https://edirc.repec.org/data/igidrin.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.