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From Trade-to-Trade in US Treasuries

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Abstract

The aim of this paper is to model the trading intensity of the US Treasury bond market which has a unique expandable limit order book which distinguishes its structure from other asset markets. An analysis of tick data from the eSpeed database suggests that the US bond market displays a greater degree of clustering in trade durations than is evident in other asset markets. Duration is affected by the presence of news particularly in the hour following the release of scheduled news to the markets. Finally, the length of time taken to complete a given transaction, or ‘workup’, has a measurable impact on the trade duration

Suggested Citation

  • Dungey, Mardi & Henry, Olan & McKenzie, Michael, 2010. "From Trade-to-Trade in US Treasuries," Working Papers 10446, University of Tasmania, Tasmanian School of Business and Economics, revised 01 May 2010.
  • Handle: RePEc:tas:wpaper:10446
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    File URL: http://eprints.utas.edu.au/10446/1/DP2010-02_Dungey_Henry_McKenzie_May2010.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, pages 938-960.
    2. Dungey, Mardi & Hvozdyk, Lyudmyla, 2010. "Cojumping: Evidence from the US Treasury Bond and Future Markets (Discussion Paper 2010-06)," Working Papers 10450, University of Tasmania, Tasmanian School of Business and Economics, revised 14 Jul 2010.
    3. Dungey, Mardi & Hvozdyk, Lyudmyla, 2012. "Cojumping: Evidence from the US Treasury bond and futures markets," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1563-1575.
    4. Sylwia Nowak, 2008. "How Do Public Announcements Affect The Frequency Of Trading In U.S. Airline Stocks?," CAMA Working Papers 2008-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    More about this item

    Keywords

    US Treasuries; trade duration; workups; news;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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