IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp1973.html

Dissecting the Yield Curve: The International Evidence

Author

Listed:
  • Andrea Berardi

    (Ca Foscari University of Venice - Dipartimento di Economia)

  • Alberto Plazzi

    (Swiss Finance Institute; Universita' della Svizzera italiana)

Abstract

Using a stochastic volatility affine term structure model, we explicitly consider the interrelation between yield curves and macro and volatility factors. We provide estimates of short rate expectations, term premium and convexity of nominal yields and for their real and inflation components for four different currency areas: US, Euro Area, UK, and Japan. We find that in all areas there are non-negligible convexity effects in correspondence with high volatility periods, and that term premium and convexity explain a significant proportion of the dynamics at the long end of the yield curve. Using panel regressions, we show that, overall, short rate expectations are procyclical while term premia exhibit a countercyclical behaviour and tend to increase with yield volatility. We also detect strong cross-country co-movements both in short rate expectations and term premia, with the degree of connectedness exhibiting significant time variation..

Suggested Citation

  • Andrea Berardi & Alberto Plazzi, 2019. "Dissecting the Yield Curve: The International Evidence," Swiss Finance Institute Research Paper Series 19-73, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp1973
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3406156
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Speck, Christian, 2023. "Pricing the Bund term structure with linear regressions – without an observable short rate," Discussion Papers 08/2023, Deutsche Bundesbank.
    3. Hui, Cho-Hoi & Wong, Andrew & Lo, Chi-Fai, 2022. "A note on modelling yield curve control: A target-zone approach," Finance Research Letters, Elsevier, vol. 49(C).
    4. Shambaugh, Jay C. & Zhou, Hang, 2024. "Interest rates across the world: Global, regional, and idiosyncratic factors," Journal of Banking & Finance, Elsevier, vol. 163(C).
    5. Iqbal, Najaf & Umar, Zaghum & Shaoyong, Zhang & Sokolova, Tatiana, 2025. "Higher moments interaction between the US treasury yields, energy assets, and green cryptos: Dynamic analysis with portfolio implications," Energy Economics, Elsevier, vol. 141(C).
    6. Badics, Milan Csaba & Huszar, Zsuzsa R. & Kotro, Balazs B., 2023. "The impact of crisis periods and monetary decisions of the Fed and the ECB on the sovereign yield curve network," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    7. Yahyaei, Hamid & Singh, Abhay & Smith, Tom, 2025. "Ex ante bond returns and time-varying monotonicity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
    8. Berardi, Andrea, 2023. "Term premia and short rate expectations in the euro area," Journal of Empirical Finance, Elsevier, vol. 74(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:chf:rpseri:rp1973. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.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.