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High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market

Author

Listed:
  • George Jiang
  • Ingrid Lo
  • Giorgio Valente

Abstract

This paper investigates high-frequency (HF) market and limit orders in the U.S. Treasury market around major macroeconomic news announcements. BrokerTec introduced i-Cross at the end of 2007 and we use this exogenous event as an instrument to analyze the impact of HF activities on liquidity and price efficiency. Our results show that HF activities have a negative effect on liquidity around economic announcements: they widen spreads during the pre-announcement period and lower depth on the order book during the post-announcement period. The negative impact on liquidity mainly derives from HF trades. Nonetheless, HF trades improve price efficiency during both the preannouncement and post-announcement periods.

Suggested Citation

  • George Jiang & Ingrid Lo & Giorgio Valente, 2014. "High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market," Staff Working Papers 14-56, Bank of Canada.
    • Handle: RePEc:bca:bocawp:14-56
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    References listed on IDEAS

    as
    1. Mizrach, Bruce & Neely, Christopher J., 2008. "Information shares in the US Treasury market," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1221-1233, July.
    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. Scholtus, Martin & van Dijk, Dick & Frijns, Bart, 2014. "Speed, algorithmic trading, and market quality around macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 89-105.
    4. Biais, Bruno & Hombert, Johan & Weill, Pierre-Olivier, 2010. "Trading and Liquidity with Limited Cognition," TSE Working Papers 10-242, Toulouse School of Economics (TSE).
    5. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    6. 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.
    7. Michael W. Brandt & Kenneth A. Kavajecz, 2004. "Price Discovery in the U.S. Treasury Market: The Impact of Orderflow and Liquidity on the Yield Curve," Journal of Finance, American Finance Association, vol. 59(6), pages 2623-2654, December.
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    9. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    10. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    11. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, June.
    12. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
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    Citations

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    Cited by:

    1. Luiza Loredana N?stase, 2016. "The Stability Of International Financial Markets Versus Emerging Economies Vulnerability," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(44), pages 160-167.
    2. Corsetti, G. & Lafarguette, R. & Mehl, A., 2019. "Fast Trading and the Virtue of Entropy: Evidence from the Foreign Exchange Market," Cambridge Working Papers in Economics 1970, Faculty of Economics, University of Cambridge.
    3. Onofrio Panzarino & Francesco Potente & Alfonso Puorro, 2016. "BTP futures and cash relationships: a high frequency data analysis," Temi di discussione (Economic working papers) 1083, Bank of Italy, Economic Research and International Relations Area.
    4. repec:uts:finphd:39 is not listed on IDEAS
    5. repec:eee:pacfin:v:48:y:2018:i:c:p:35-55 is not listed on IDEAS
    6. repec:eee:pacfin:v:53:y:2019:i:c:p:186-207 is not listed on IDEAS
    7. repec:uts:finphd:2-2018 is not listed on IDEAS

    More about this item

    Keywords

    Financial markets;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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

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