IDEAS home Printed from https://ideas.repec.org/a/bde/journl/y2018i3daan6.html
   My bibliography  Save this article

The flattening of the yield curve in the United States

Author

Listed:
  • Juan Carlos Berganza
  • Alberto Fuertes

Abstract

The yield curve for US government debt securities has flattened significantly since late 2016 and its slope, while positive, has fallen to levels not observed since before the global financial crisis. The inversion of the yield curve slope is considered, on occasions, as a leading indicator of future recessions. And this, given moreover that the current expansionary phase is proving more durable than previous upturns, has prompted debate on the implications of the recent flattening of the curve. However, as illustrated in this article, unlike previous episodes, in which the flattening of the curve was explained by the behaviour of the interest rates expected at different terms, at this current juncture it is warranted substantially by the compression of term premia. Against this background, the historical relationship between the yield curve and predicted recessions in the US economy might have altered.

Suggested Citation

  • Juan Carlos Berganza & Alberto Fuertes, 2018. "The flattening of the yield curve in the United States," Economic Bulletin, Banco de España, issue MAR.
  • Handle: RePEc:bde:journl:y:2018:i:3:d:aa:n:6
    Note: Analytical Articles
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/InformesBoletinesRevistas/ArticulosAnaliticos/2018/T1/Files/beaa1801-art6e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alessandro Galesi & Galo Nuño & Carlos Thomas, 2017. "The natural interest rate: concept, determinants and implications for monetary policy," Economic Bulletin, Banco de España, issue MAR.
    2. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hansen, Anne Lundgaard, 2024. "Predicting recessions using VIX–yield curve cycles," International Journal of Forecasting, Elsevier, vol. 40(1), pages 409-422.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hans Dewachter & Leonardo Iania & Marco Lyrio, 2014. "Information in the yield curve: A Macro-Finance approach," Working Paper Research 254, National Bank of Belgium.
    2. Esther Fernández Galar & Javier Gómez Biscarri, 2003. "Revisiting the Ability of Interest Rate Spreads to Predict Recessions: Evidence for a," Faculty Working Papers 04/03, School of Economics and Business Administration, University of Navarra.
    3. Jelena Zubkova, 2003. "Interest Rate Term Structure in Latvia in the Monetary Policy Context," Working Papers 2003/03, Latvijas Banka.
    4. repec:kap:iaecre:v:16:y:2010:i:1:p:1-10 is not listed on IDEAS
    5. Martin Ellison & Sang Seok Lee & Kevin Hjortshøj O'Rourke, 2024. "The Ends of 27 Big Depressions," American Economic Review, American Economic Association, vol. 114(1), pages 134-168, January.
    6. Hans Dewachter & Leonardo Iania & Marco Lyrio, 2014. "Information In The Yield Curve: A Macro‐Finance Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 42-64, January.
    7. Ege, Yazgan & Huseyin, Kaya, 2010. "Has inflation targeting increased predictive power of term structure about future inflation: evidence from an emerging market ?," MPRA Paper 24810, University Library of Munich, Germany.
    8. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    9. 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.
    10. Ulrich Fritsche & Felix Marklein, 2001. "Leading Indicators of Euroland Business Cycles," Discussion Papers of DIW Berlin 238, DIW Berlin, German Institute for Economic Research.
    11. Putkuri, Hanna, 2003. "Cross-country asymmetries in euro area monetary transmission : The role of national financial systems," Research Discussion Papers 15/2003, Bank of Finland.
    12. Jan Annaert & Marc De Ceuster & Patrick Van Roy & Cristina Vespro, 2010. "What determines euro area bank CDS spreads ?," Working Paper Research 190, National Bank of Belgium.
    13. Seitz, Franz & Baumann, Ursel & Albuquerque, Bruno, 2015. "The information content of money and credit for US activity," Working Paper Series 1803, European Central Bank.
    14. Carriero, Andrea & Marcellino, Massimiliano, 2007. "A comparison of methods for the construction of composite coincident and leading indexes for the UK," International Journal of Forecasting, Elsevier, vol. 23(2), pages 219-236.
    15. Ahmed, Jameel & Straetmans, Stefan, 2015. "Predicting exchange rate cycles utilizing risk factors," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 112-130.
    16. He, Xiaoli & Jacobs, Jan P.A.M. & Kuper, Gerard H. & Ligthart, Jenny E., 2013. "On the Impact of the Global Financial Crisis on the Euro Area," Working Papers 17209, University of Tasmania, Tasmanian School of Business and Economics, revised 16 Oct 2013.
    17. Periklis Gogas & Theophilos Papadimitriou & Maria Matthaiou & Efthymia Chrysanthidou, 2015. "Yield Curve and Recession Forecasting in a Machine Learning Framework," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 635-645, April.
    18. Hamilton, James D & Kim, Dong Heon, 2002. "A Reexamination of the Predictability of Economic Activity Using the Yield Spread," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 340-360, May.
    19. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    20. Njindan Iyke, Bernard, 2015. "On The Term Structure of South African Interest Rates: Cointegration and Threshold Adjustment," MPRA Paper 67681, University Library of Munich, Germany.

    More about this item

    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:bde:journl:y:2018:i:3:d:aa:n:6. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.