IDEAS home Printed from https://ideas.repec.org/p/fip/fednsr/381.html
   My bibliography  Save this paper

The microstructure of a U.S. Treasury ECN: the BrokerTec platform

Author

Listed:
  • Fleming, Michael J.

    (Federal Reserve Bank of New York)

  • Mizrach, Bruce

    () (Rutgers University)

  • Nguyen, Giang

    () (Pennsylvania State University)

Abstract

We assess the microstructure of the U.S. Treasury securities market following its migration to electronic trading. We model price discovery using a vector autoregression model of price and order flow. We show that both trades and limit orders affect price dynamics, suggesting that traders also choose limit orders to exploit their information. Moreover, while limit orders have smaller price impact, their greater variation contributes more to the variance of price updates. Lastly, we find increased price impact of trades and especially limit orders following major announcements (such as FOMC rate decisions and macroeconomic data releases), suggesting that the private information derived from public information is disproportionally exploited through limit orders.

Suggested Citation

  • Fleming, Michael J. & Mizrach, Bruce & Nguyen, Giang, 2009. "The microstructure of a U.S. Treasury ECN: the BrokerTec platform," Staff Reports 381, Federal Reserve Bank of New York, revised 01 Mar 2017.
  • Handle: RePEc:fip:fednsr:381
    as

    Download full text from publisher

    File URL: https://www.newyorkfed.org/research/staff_reports/sr381.html
    File Function: Summary
    Download Restriction: no

    File URL: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr381.pdf
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    Citations

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


    Cited by:

    1. Moinas, Sophie, 2010. "Hidden Limit Orders and Liquidity in Order Driven Markets," IDEI Working Papers 600, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 212-240, March.
    3. Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.
    4. Jiang, George J. & Lo, Ingrid, 2014. "Private information flow and price discovery in the U.S. treasury market," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 118-133.
    5. Sun, Zhuowei & Dunne, Peter G. & Li, Youwei, 2015. "Price discovery in the dual-platform US Treasury market," Global Finance Journal, Elsevier, vol. 28(C), pages 95-110.
    6. Jens H. E. Christensen & James M. Gillan, 2011. "A model-independent maximum range for the liquidity correction of TIPS yields," Working Paper Series 2011-16, Federal Reserve Bank of San Francisco.
    7. Hajime Tomura, 2012. "On the Existence and Fragility of Repo Markets," Staff Working Papers 12-17, Bank of Canada.
    8. Frey, Stefan & Sandås, Patrik, 2009. "The impact of iceberg orders in limit order books," CFR Working Papers 09-06, University of Cologne, Centre for Financial Research (CFR).
    9. William Dudley & Jennifer E. Roush & Michelle Steinberg Ezer, 2009. "The case for TIPS: an examination of the costs and benefits," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 1-17.
    10. Nikolaus Hautsch & Ruihong Huang, 2012. "On the Dark Side of the Market: Identifying and Analyzing Hidden Order Placements," SFB 649 Discussion Papers SFB649DP2012-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Coluzzi, Chiara & Ginebri, Sergio & Turco, Manuel, 2008. "Measuring and Analyzing the Liquidity of the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08044, University of Molise, Dept. EGSeI.
    12. Robert Engle & Michael J. Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity, volatility, and flights to safety in the U.S. treasury market: evidence from a new class of dynamic order book models," Staff Reports 590, Federal Reserve Bank of New York.
    13. Coluzzi, Chiara & Ginebri, Sergio, 2008. "Order Dynamics in the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08050, University of Molise, Dept. EGSeI.
    14. Dunne, Peter & Hau, Harald & Moore, Michael, 2008. "A Tale of Two Platforms: Dealer Intermediation in the European Sovereign Bond Market," CEPR Discussion Papers 6969, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    microstructure; Treasury market; bid-ask spread; price impact; information;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • 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:fip:fednsr:381. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Amy Farber). General contact details of provider: http://edirc.repec.org/data/frbnyus.html .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.