IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/3345.html
   My bibliography  Save this paper

Size Discovery

Author

Listed:
  • Duffie, Darrell

    (Stanford University)

  • Zhu, Haoxiang

    (MIT)

Abstract

Size discovery is the use of trade mechanisms by which large quantities of an asset can be exchanged at a price that does not respond to price pressure. Primary examples of size discovery include "workup" in Treasury markets, "matching sessions" in corporate bond and CDS markets, and block-trading "dark pools" in equity markets. By freezing the execution price and giving up on market-clearing, a size-discovery mechanism overcomes large investors' concerns over price impacts. Price-discovery mechanisms clear the market, but cause investors to internalize their price impacts, inducing costly delays in the reduction of position imbalances. We show how augmenting a price-discovery mechanism with a size-discovery mechanism improves allocative efficiency.

Suggested Citation

  • Duffie, Darrell & Zhu, Haoxiang, 2016. "Size Discovery," Research Papers 3345, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:3345
    as

    Download full text from publisher

    File URL: http://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/406401
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Degryse, Hans & Van Achter, Mark & Wuyts, Gunther, 2009. "Dynamic order submission strategies with competition between a dealer market and a crossing network," Journal of Financial Economics, Elsevier, vol. 91(3), pages 319-338, March.
    2. Leslie Boni & J. Chris Leach, 2002. "Supply contraction and trading protocol: an examination of recent changes in the U.S. Treasury market," Proceedings, Federal Reserve Bank of Cleveland, pages 740-766.
    3. Xavier Vives, 2011. "Strategic Supply Function Competition With Private Information," Econometrica, Econometric Society, vol. 79(6), pages 1919-1966, November.
    4. 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.
    5. Boni, Leslie & Leach, Chris, 2004. "Expandable limit order markets," Journal of Financial Markets, Elsevier, vol. 7(2), pages 145-185, February.
    6. Lawrence M. Ausubel & Peter Cramton & Marek Pycia & Marzena Rostek & Marek Weretka, 2014. "Demand Reduction and Inefficiency in Multi-Unit Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1366-1400.
    7. Menkveld, Albert J. & Yueshen, Bart Zhou & Zhu, Haoxiang, 2017. "Shades of darkness: A pecking order of trading venues," Journal of Financial Economics, Elsevier, vol. 124(3), pages 503-534.
    8. Huang, Roger D. & Cai, Jun & Wang, Xiaozu, 2002. "Information-Based Trading in the Treasury Note Interdealer Broker Market," Journal of Financial Intermediation, Elsevier, vol. 11(3), pages 269-296, July.
    9. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    10. Terrence Hendershott & Haim Mendelson, 2000. "Crossing Networks and Dealer Markets: Competition and Performance," Journal of Finance, American Finance Association, vol. 55(5), pages 2071-2115, October.
    11. Songzi Du & Haoxiang Zhu, 2014. "Welfare and Optimal Trading Frequency in Dynamic Double Auctions," NBER Working Papers 20588, National Bureau of Economic Research, Inc.
    12. Boni, Leslie & Leach, J Chris, 2002. "Supply Contraction and Trading Protocol: An Examination of Recent Changes in the U.S. Treasury Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(3), pages 740-762, August.
    13. Marzena Rostek & Marek Weretka, 2012. "Price Inference in Small Markets," Econometrica, Econometric Society, vol. 80(2), pages 687-711, March.
    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. Wittwer, Milena, 2017. "Centralizing Disconnected Markets? An Irrelevance Result," MPRA Paper 76534, University Library of Munich, Germany.
    2. Menkveld, Albert J. & Yueshen, Bart Zhou & Zhu, Haoxiang, 2017. "Shades of darkness: A pecking order of trading venues," Journal of Financial Economics, Elsevier, vol. 124(3), pages 503-534.
    3. Benos, Evangelos & Payne, Richard & Vasios, Michalis, 2020. "Centralized Trading, Transparency, and Interest Rate Swap Market Liquidity: Evidence from the Implementation of the Dodd–Frank Act," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(1), pages 159-192, February.

    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. Bayona, Anna & Dumitrescu, Ariadna & Manzano, Carolina, 2023. "Information and optimal trading strategies with dark pools," Economic Modelling, Elsevier, vol. 126(C).
    2. Glebkin, Sergei & Kuong, John Chi-Fong, 2023. "When large traders create noise," Journal of Financial Economics, Elsevier, vol. 150(2).
    3. Samuel Antill & Darrell Duffie, 2021. "Augmenting Markets with Mechanisms [Optimal Execution of Portfolio Transactions]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1665-1719.
    4. Du, Songzi & Zhu, Haoxiang, 2017. "Bilateral trading in divisible double auctions," Journal of Economic Theory, Elsevier, vol. 167(C), pages 285-311.
    5. Samuel Antill & Darrell Duffie, 2021. "Augmenting Markets with Mechanisms [Optimal Execution of Portfolio Transactions]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1665-1719.
    6. Ye, Linlin, 2024. "Understanding the impacts of dark pools on price discovery," Journal of Financial Markets, Elsevier, vol. 68(C).
    7. Fany Declerck & Laurence Lescourret, 2015. "Dark pools et trading haute fréquence : une évolution utile ?," Revue d'économie financière, Association d'économie financière, vol. 0(4), pages 113-126.
    8. Daniel Chen & Darrell Duffie, 2021. "Market Fragmentation," American Economic Review, American Economic Association, vol. 111(7), pages 2247-2274, July.
    9. Duong, Huu Nhan & Kalev, Petko S. & Tian, Xiao Jason, 2022. "Does the bid–ask spread affect trading in exchange operated dark pools? Evidence from a natural experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    10. Chen, Daniel & Duffie, Darrell, 2020. "Market Fragmentation," Research Papers 3854, Stanford University, Graduate School of Business.
    11. Gomber, Peter & Sagade, Satchit & Theissen, Erik & Weber, Moritz Christian & Westheide, Christian, 2023. "Spoilt for choice: Determinants of market shares in fragmented equity markets," Journal of Financial Markets, Elsevier, vol. 64(C).
    12. Degryse, Hans & Karagiannis, Nikolaos & Tombeur, Geoffrey & Wuyts, Gunther, 2021. "Two shades of opacity: Hidden orders and dark trading," Journal of Financial Intermediation, Elsevier, vol. 47(C).
    13. Kenneth Khang & Tao-Hsien Dolly King, 2010. "Short horizon liquidity and trading activity in the US Treasury market: do inventory holding costs matter?," Applied Financial Economics, Taylor & Francis Journals, vol. 20(14), pages 1085-1098.
    14. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    15. Daniel Chen & Darrell Duffie, 2021. "Market Fragmentation," American Economic Review, American Economic Association, vol. 111(7), pages 2247-2274, July.
    16. Jason Allen & Milena Wittwer, 2023. "Intermediary Market Power and Capital Constraints," Staff Working Papers 23-51, Bank of Canada.
    17. Babus, Ana & Parlatore, Cecilia, 2022. "Strategic fragmented markets," Journal of Financial Economics, Elsevier, vol. 145(3), pages 876-908.
    18. Manzano, Carolina & Vives, Xavier, 2021. "Market power and welfare in asymmetric divisible good auctions," Theoretical Economics, Econometric Society, vol. 16(3), July.
    19. Michail Anthropelos & Constantinos Kardaras, 2018. "Price Impact Under Heterogeneous Beliefs and Restricted Participation," Papers 1802.09954, arXiv.org, revised Dec 2023.
    20. Lou, Youcheng & Rahi, Rohit, 2023. "Information, market power and welfare," LSE Research Online Documents on Economics 120479, London School of Economics and Political Science, LSE Library.

    More about this item

    JEL classification:

    • 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

    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:ecl:stabus:3345. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.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.