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The effect of treasury auctions on 10‐year Treasury note futures

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  • Lee A. Smales

Abstract

Using 15‐min intervals over the period 2000–2017, it is shown that auctions of US Treasury securities have an economic and statistically significant impact on the 10‐year Treasury note futures market. Prices move higher, volatility increases and there is an upturn in trading volume in the interval immediately following an auction. Higher bid‐to‐cover ratios, and bid‐to‐cover ratios that exceed the average, lead to positive returns and lower return volatility. This is consistent with bid‐to‐cover ratios serving as a proxy of demand for the auctioned securities. Primary dealers, who purchase the largest proportion of each issue, have the greatest influence on the market response. This is particularly evident when auction demand increases while they have a short futures position. Together, the results are consistent with traders (particularly primary dealers) buying back short futures hedges immediately following the auction, and suggests that futures are used to hedge at least some inventory risk.

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  • Lee A. Smales, 2021. "The effect of treasury auctions on 10‐year Treasury note futures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1517-1555, April.
    • Handle: RePEc:bla:acctfi:v:61:y:2021:i:s1:p:1517-1555
    DOI: 10.1111/acfi.12635
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    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. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    3. Evans, Kevin P., 2011. "Intraday jumps and US macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2511-2527, October.
    4. Dong Lou & Hongjun Yan & Jinfan Zhang, 2013. "Anticipated and Repeated Shocks in Liquid Markets," Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 1891-1912.
    5. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    6. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    7. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    8. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    9. Catherine L. Mann & Oren Klachkin, 2011. "U.S. Treasury Auction Yields During Boom, Bust, and Quantitative Easing: Role for Fed and Foreign Purchasers," Working Papers 47, Brandeis University, Department of Economics and International Business School, revised May 2012.
    10. Ali Hortaçsu & Jakub Kastl & Allen Zhang, 2018. "Bid Shading and Bidder Surplus in the US Treasury Auction System," American Economic Review, American Economic Association, vol. 108(1), pages 147-169, January.
    11. Alessandro Beber & Michael W. Brandt, 2010. "When It Cannot Get Better or Worse: The Asymmetric Impact of Good and Bad News on Bond Returns in Expansions and Recessions," Review of Finance, European Finance Association, vol. 14(1), pages 119-155.
    12. Ederington, Louis H. & Lee, Jae Ha, 1995. "The Short-Run Dynamics of the Price Adjustment to New Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 117-134, March.
    13. Lars Forsberg & Eric Ghysels, 2007. "Why Do Absolute Returns Predict Volatility So Well?," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 31-67.
    14. John H. Boyd & Jian Hu & Ravi Jagannathan, 2005. "The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks," Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
    15. 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.
    16. 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.
    17. Erenburg, Grigori & Kurov, Alexander & Lasser, Dennis J., 2006. "Trading around macroeconomic announcements: Are all traders created equal?," Journal of Financial Intermediation, Elsevier, vol. 15(4), pages 470-493, October.
    18. Michael J. Fleming, 2007. "Who buys Treasury securities at auction?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 13(Jan).
    19. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    20. Jiang, George J. & Lo, Ingrid & Verdelhan, Adrien, 2011. "Information Shocks, Liquidity Shocks, Jumps, and Price Discovery: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(2), pages 527-551, April.
    21. Lee A. Smales, 2013. "Impact Of Macroeconomic Announcements On Interest Rate Futures: High-Frequency Evidence From Australia," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(3), pages 371-388, September.
    22. Mark J. Flannery & Aris A. Protopapadakis, 2002. "Macroeconomic Factors Do Influence Aggregate Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 751-782.
    23. Song, Zhaogang & Zhu, Haoxiang, 2018. "Quantitative easing auctions of Treasury bonds," Journal of Financial Economics, Elsevier, vol. 128(1), pages 103-124.
    24. Rohan Christie‐David & Mukesh Chaudhry & James T. Lindley, 2003. "The Effects of Unanticipated Macroeconomic News on Debt Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(3), pages 319-339, September.
    25. Engle, Robert F, 1998. "Macroeconomic Announcements and Volatility of Treasury Futures," University of California at San Diego, Economics Working Paper Series qt7rd4g3bk, Department of Economics, UC San Diego.
    26. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    27. Narayan Y. Naik & Pradeep K. Yadav, 2003. "Risk Management with Derivatives by Dealers and Market Quality in Government Bond Markets," Journal of Finance, American Finance Association, vol. 58(5), pages 1873-1904, October.
    28. McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
    29. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
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    1. Ethan Struby & Michael F. Connolly, 2023. "Treasury Buybacks, the Fed's Portfolio, and Local Supply," Working Papers 2023-02, Carleton College, Department of Economics.

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