IDEAS home Printed from https://ideas.repec.org/p/mol/ecsdps/esdp24094.html
   My bibliography  Save this paper

The Information Content of Delayed Block Trades in Decentralised Markets

Author

Listed:
  • Galati, Luca
  • De Blasis, Riccardo

Abstract

This paper examines the market impact of large blocks in decentralised crypto markets. We examine this issue using a natural experiment in Bitcoin provided by the Gemini exchange, which introduced a block trading facility but changed, in December 2019, the ability of market participants to trade a block and report it with a delay in smaller-sized trades. Consistent with theoretical predictions and earlier empirical findings, we largely confirm that the information content of large trades is significantly lower in the upstairs market than in the downstairs. In contrast with prior research in traditional markets, we find that delaying the reporting of a block traded away from the continuous book discourages informed trading and potentially decreases the informativeness of trading and, therefore, information efficiency. Further, we find that the newly implemented size requirement for upstairs trades increases the total market impact, thereby not working as the intended introduction of a block trading facility.

Suggested Citation

  • Galati, Luca & De Blasis, Riccardo, 2024. "The Information Content of Delayed Block Trades in Decentralised Markets," Economics & Statistics Discussion Papers esdp24094, University of Molise, Department of Economics.
    • Handle: RePEc:mol:ecsdps:esdp24094
    as

    Download full text from publisher

    File URL: http://web.unimol.it/progetti/repec/mol/ecsdps/ESDP24094.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Seppi, Duane J, 1990. "Equilibrium Block Trading and Asymmetric Information," Journal of Finance, American Finance Association, vol. 45(1), pages 73-94, March.
    Full references (including those not matched with items on IDEAS)

    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. Hong, Harrison & Rady, Sven, 2002. "Strategic trading and learning about liquidity," Journal of Financial Markets, Elsevier, vol. 5(4), pages 419-450, October.
    2. Lee, Yi-Tsung & Lin, Ji-Chai & Liu, Yu-Jane, 1999. "Trading patterns of big versus small players in an emerging market: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 23(5), pages 701-725, May.
    3. Duong, Huu Nhan & Kalev, Petko S., 2013. "Anonymity and order submissions," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 101-118.
    4. Hasbrouck, Joel, 1996. "Order characteristics and stock price evolution An application to program trading," Journal of Financial Economics, Elsevier, vol. 41(1), pages 129-149, May.
    5. Christiane Goodfellow & Martin T. Bohl, 2011. "Forestalling Floor Closure: Evidence from a Natural Experiment on the German Stock Market," Post-Print hal-00676103, HAL.
    6. 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.
    7. Dan Bernhardt & Ryan Davies & John Spicer, 2000. "Long-term Information, Short-lived Derivative Securities," Working Paper 994, Economics Department, Queen's University.
    8. D. Alasdair S. Turnbull, 2018. "Market Fragmentation, Market Quality and Clientele Effects," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 74-89, January.
    9. Garvey, Ryan & Huang, Tao & Wu, Fei, 2016. "Why do traders choose dark markets?," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 12-28.
    10. DESGRANGES, Gabriel & FOUCAULT, Thierry, 2000. "Reputation-based pricing and price improvements in dealership markets," HEC Research Papers Series 716, HEC Paris, revised 01 Mar 2002.
    11. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    12. Bortolotti, Bernardo & Megginson, William & Smart, Scott B., 2007. "The Rise of Accelerated Seasoned Equity Underwritings," Privatisation Regulation Corporate Governance Working Papers 12190, Fondazione Eni Enrico Mattei (FEEM).
    13. Gabor Pinter & Chaojun Wang & Junyuan Zou, 2024. "Size Discount and Size Penalty: Trading Costs in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 37(7), pages 2156-2190.
    14. Thierry Foucault & Sophie Moinas & Erik Theissen, 2007. "Does Anonymity Matter in Electronic Limit Order Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1707-1747, 2007 28.
    15. 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.
    16. Comerton-Forde, Carole & Tang, Kar Mei, 2009. "Anonymity, liquidity and fragmentation," Journal of Financial Markets, Elsevier, vol. 12(3), pages 337-367, August.
    17. Stephens, Eric & Thompson, James R., 2017. "Information asymmetry and risk transfer markets," Journal of Financial Intermediation, Elsevier, vol. 32(C), pages 88-99.
    18. Booth, G. Geoffrey & Kallunki, Juha-Pekka & Martikainen, Teppo, 2001. "Liquidity and the turn-of-the-month effect: evidence from Finland," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 137-146, June.
    19. Naes, Randi & Skjeltorp, Johannes A., 2003. "Equity trading by institutional investors: Evidence on order submission strategies," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1779-1817, September.
    20. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.

    More about this item

    Keywords

    block trading; decentralised markets; information efficiency; informed trading; market microstructure; price impact;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:mol:ecsdps:esdp24094. 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: Claudio Lupi (email available below). General contact details of provider: https://edirc.repec.org/data/dsmolit.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.