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Identification of triggers of U.S. yield curve movements

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  • Kučera, Adam

Abstract

We present new evidence for understanding the sources of daily movements in U.S. Treasury yields. We use a novel narrative approach combined with Bayesian inference to identify news-based triggers of yield movements between 2001 and 2019. We show that the U.S. macroeconomic news was the core trigger of U.S. Treasury yield volatility over most of the period under analysis. However, the importance of non-macroeconomic news associated with capital flight has increased significantly since 2011, and they became the dominant source of movements in the long end of the U.S. yield curve after 2016. This highlights the growing importance of the U.S. Treasuries as a safe haven asset and implies possible partial loosening of the relation between U.S. Treasury yields and the U.S. business cycle.

Suggested Citation

  • Kučera, Adam, 2020. "Identification of triggers of U.S. yield curve movements," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940820301789
    DOI: 10.1016/j.najef.2020.101288
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    as
    1. Michael D. Bauer & Glenn D. Rudebusch, 2020. "Interest Rates under Falling Stars," American Economic Review, American Economic Association, vol. 110(5), pages 1316-1354, May.
    2. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    3. Michiel De Pooter & Francesco Ravazzolo & Dick Van Dijk, 2010. "Term structure forecasting using macro factors and forecast combination," International Finance Discussion Papers 993, Board of Governors of the Federal Reserve System (U.S.).
    4. Glenn D. Rudebusch & Eric T. Swanson, 2012. "The Bond Premium in a DSGE Model with Long-Run Real and Nominal Risks," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 105-143, January.
    5. Michael D. Bauer, 2017. "A New Conundrum in the Bond Market?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    6. Avdjiev, Stefan & Gambacorta, Leonardo & Goldberg, Linda S. & Schiaffi, Stefano, 2020. "The shifting drivers of global liquidity," Journal of International Economics, Elsevier, vol. 125(C).
    7. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    8. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    9. Ben S. Bernanke & Vincent R. Reinhart & Brian P. Sack, 2004. "Monetary Policy Alternatives at the Zero Bound: An Empirical Assessment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(2), pages 1-100.
    10. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2012. "Interest rate co-movements, global factors and the long end of the term spread," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 183-192.
    11. Don H. Kim & Jonathan H. Wright, 2005. "An arbitrage-free three-factor term structure model and the recent behavior of long-term yields and distant-horizon forward rates," Finance and Economics Discussion Series 2005-33, Board of Governors of the Federal Reserve System (U.S.).
    12. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    13. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    14. Craine, Roger & Martin, Vance L, 2009. "Interest Rate Conundrum," Department of Economics, Working Paper Series qt0409193t, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    15. John Y. Campbell & Robert J. Shiller, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," Review of Economic Studies, Oxford University Press, vol. 58(3), pages 495-514.
    16. David K. Backus & Jonathan H. Wright, 2007. "Cracking the Conundrum," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 38(1), pages 293-329.
    17. Craine, Roger & Martin, Vance L., 2009. "The Interest Rate Conundrum," Department of Economics, Working Paper Series qt8b98n6vh, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    18. Scott Joslin & Kenneth J. Singleton & Haoxiang Zhu, 2011. "A New Perspective on Gaussian Dynamic Term Structure Models," Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 926-970.
    19. Qiang Dai & Thomas Philippon, 2005. "Fiscal Policy and the Term Structure of Interest Rates," NBER Working Papers 11574, National Bureau of Economic Research, Inc.
    20. Anna Cieslak & Pavol Povala, 2015. "Expected Returns in Treasury Bonds," Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2859-2901.
    21. Scott Joslin & Marcel Priebsch & Kenneth J. Singleton, 2014. "Risk Premiums in Dynamic Term Structure Models with Unspanned Macro Risks," Journal of Finance, American Finance Association, vol. 69(3), pages 1197-1233, June.
    22. John Ammer & Alexandra Tabova & Stijn Claessens, 2018. "Searching for Yield Abroad: Risk-Taking through Foreign Investment in U.S. Bonds," 2018 Meeting Papers 960, Society for Economic Dynamics.
    23. Michael D. Bauer & James D. Hamilton, 2018. "Robust Bond Risk Premia," Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 399-448.
    24. Jonathan H. Wright, 2011. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset," American Economic Review, American Economic Association, vol. 101(4), pages 1514-1534, June.
    25. John Ammer & Alexandra Tabova & Caleb Wroblewski, 2018. "Searching for yield abroad: risk-taking through foreign investment in U.S. bonds," BIS Working Papers 687, Bank for International Settlements.
    26. Julio, Brandon & Yook, Youngsuk, 2016. "Policy uncertainty, irreversibility, and cross-border flows of capital," Journal of International Economics, Elsevier, vol. 103(C), pages 13-26.
    27. John H. Cochrane & Monika Piazzesi, 2005. "Bond Risk Premia," American Economic Review, American Economic Association, vol. 95(1), pages 138-160, March.
    28. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    29. Craine Roger & Martin Vance L, 2009. "Interest Rate Conundrum," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-29, March.
    30. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    31. Darrell Duffie & Rui Kan, 1996. "A Yield‐Factor Model Of Interest Rates," Mathematical Finance, Wiley Blackwell, vol. 6(4), pages 379-406, October.
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    More about this item

    Keywords

    Interest rate; Macrofinance model; Nelson–Siegel; Yield curve;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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