IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/2003294.html
   My bibliography  Save this paper

Does the yield spread predict recessions in the euro area?

Author

Listed:
  • Moneta, Fabio

Abstract

This paper studies the informational content of the slope of the yield curve as a predictor of recessions in the euro area. In particu-lar, the historical predictive power of ten yield spreads, for di®erent segments of the yield curve, is tested using a probit model. The yield spread between the ten-year government bond rate and the three-month interbank rate outperforms all the other spreads in predicting recessions in the euro area. The result is con¯rmed when the au-toregressive series of the state of the economy is added in the same model. The forecast accuracy of the spread between 10-year and 3-month interest rates is explored in an exercise of out-of-sample forecasting. This yield spread appears to contain information which goes beyond the information already available in the history of output, providing further evidence of the potential usefulness of this indicator for mon-etary policy purposes. JEL Classification: E44, E52, C53

Suggested Citation

  • Moneta, Fabio, 2003. "Does the yield spread predict recessions in the euro area?," Working Paper Series 294, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2003294
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp294.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Layton, Allan P. & Katsuura, Masaki, 2001. "Comparison of regime switching, probit and logit models in dating and forecasting US business cycles," International Journal of Forecasting, Elsevier, vol. 17(3), pages 403-417.
    2. Marco Del Negro, 2001. "Turn, turn, turn: Predicting turning points in economic activity," Economic Review, Federal Reserve Bank of Atlanta, vol. 86(Q2), pages 1-12.
    3. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 42, European Central Bank.
    4. Estrella, Arturo, 1998. "A New Measure of Fit for Equations with Dichotomous Dependent Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 198-205, April.
    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. Fernando Garcia Alvarado, 2022. "Detecting crisis vulnerability using yield spread interconnectedness," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3864-3880, October.
    2. repec:hal:spmain:info:hdl:2441/6156 is not listed on IDEAS
    3. Pederzoli, Chiara & Torricelli, Costanza, 2005. "Capital requirements and business cycle regimes: Forward-looking modelling of default probabilities," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3121-3140, December.
    4. Menzie Chinn & Kavan Kucko, 2015. "The Predictive Power of the Yield Curve Across Countries and Time," International Finance, Wiley Blackwell, vol. 18(2), pages 129-156, June.
    5. Galvao, Ana Beatriz & Costa, Sonia, 2013. "Does the euro area forward rate provide accurate forecasts of the short rate?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 131-141.
    6. repec:ehu:dfaeii:6741 is not listed on IDEAS
    7. Ferdi Botha & Gavin Keeton, 2014. "A Note on the (Continued) Ability of the Yield Curve to Forecast Economic Downturns in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 468-473, September.
    8. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    9. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
    10. repec:spo:wpmain:info:hdl:2441/6156 is not listed on IDEAS
    11. Marianna Brunetti & Costanza Torricelli, 2009. "Economic activity and recession probabilities: information content and predictive power of the term spread in Italy," Applied Economics, Taylor & Francis Journals, vol. 41(18), pages 2309-2322.
    12. Benjamin Ford & Karen Taylor, 2005. "Recent developments in Australian bond yields," Economic Roundup, The Treasury, Australian Government, issue 4, pages 111-120, December.
    13. Christophe Blot & Grégory Levieuge, 2008. "Are MCIs Good Indicators of Economic Activity ? Evidence from the G7 Countries," Working Papers hal-00973056, HAL.
    14. Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005. "Predicting real growth and the probability of recession in the Euro area using the yield spread," International Journal of Forecasting, Elsevier, vol. 21(2), pages 261-277.
    15. repec:hal:wpspec:info:hdl:2441/6156 is not listed on IDEAS
    16. Andersson, Magnus & D'Agostino, Antonello, 2008. "Are sectoral stock prices useful for predicting euro area GDP?," Research Technical Papers 2/RT/08, Central Bank of Ireland.
    17. Christophe Blot & Grégory Levieuge, 2008. "Are MCls Good Indicators of Countries Economic Activity ? Evidence from the G7 Countries," Post-Print halshs-00258303, HAL.
    18. Melvin Muzi Khomo & Meshach Jesse Aziakpono, 2007. "Forecasting Recession In South Africa: A Comparison Of The Yield Curve And Other Economic Indicators," South African Journal of Economics, Economic Society of South Africa, vol. 75(2), pages 194-212, June.
    19. Vladimir Dubrovskiy & Inna Golodniuk & Janusz Szyrmer, 2009. "Composite Leading Indicators for Ukraine: An Early Warning Model," CASE Network Reports 0085, CASE-Center for Social and Economic Research.
    20. Gerit Vogt, 2004. "Prognose von Umsatz und Bruttowertschöpfung des verarbeitenden Gewerbes in Sachsen für das Jahr 2004 (Prognose der Bruttowertschöpfung des sächsischen verarbeitenden Gewerbes 2004)," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(04), pages 23-30, August.
    21. repec:spo:wpecon:info:hdl:2441/6156 is not listed on IDEAS

    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. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," Working Papers hal-04140915, HAL.
    2. Fabio Moneta, 2005. "Does the Yield Spread Predict Recessions in the Euro Area?," International Finance, Wiley Blackwell, vol. 8(2), pages 263-301, August.
    3. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    4. Darracq Pariès, Matthieu & Kühl, Michael, 2016. "The optimal conduct of central bank asset purchases," Working Paper Series 1973, European Central Bank.
    5. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    6. 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.
    7. Wallis, Kenneth F., 2004. "Comparing empirical models of the euro economy," Economic Modelling, Elsevier, vol. 21(5), pages 735-758, September.
    8. M.S.Rafiq, 2006. "Business Cycle Moderation - Good Policies or Good Luck: Evidence and Explanations for the Euro Area," Discussion Paper Series 2006_21, Department of Economics, Loughborough University.
    9. Kollmann, Robert & Enders, Zeno & Müller, Gernot J., 2011. "Global banking and international business cycles," European Economic Review, Elsevier, vol. 55(3), pages 407-426, April.
    10. Alexei Onatski & Noah Williams, 2010. "Empirical and policy performance of a forward‐looking monetary model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 145-176, January.
    11. Aliyu, Shehu Usman Rano & Yakub, Ma'aji Umar & Sanni, Ganiyu Kayode & Duke, Omolara, 2009. "Exchange Rate Pass-through in Nigeria: Evidence from a Vector Error Correction Model," MPRA Paper 25053, University Library of Munich, Germany, revised 29 Mar 2010.
    12. Alexey Mikhaylov, 2019. "Oil and Gas Budget Revenues in Russia after Crisis in 2015," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 375-380.
    13. Coenen, Gunter & Wieland, Volker, 2005. "A small estimated euro area model with rational expectations and nominal rigidities," European Economic Review, Elsevier, vol. 49(5), pages 1081-1104, July.
    14. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    15. Mathilde Le Moigne & Francesco Saraceno & Sébastien Villemot, 2016. "Probably Too Little, Certainly Too Late. An Assessment of the Juncker Investment Plan," PSE Working Papers hal-03459360, HAL.
    16. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2010. "Business Cycles in the Euro Area," NBER Chapters, in: Europe and the Euro, pages 141-167, National Bureau of Economic Research, Inc.
    17. Camba-Mendez, Gonzalo & Rodriguez-Palenzuela, Diego, 2003. "Assessment criteria for output gap estimates," Economic Modelling, Elsevier, vol. 20(3), pages 529-562, May.
    18. Laxton, Douglas & Pesenti, Paolo, 2003. "Monetary rules for small, open, emerging economies," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1109-1146, July.
    19. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    20. Michaelides, Panayotis & Milios, John, 2009. "TFP change, output gap and inflation in the Russian Federation (1994-2006)," Journal of Economics and Business, Elsevier, vol. 61(4), pages 339-352, July.

    More about this item

    Keywords

    forecasting; probit model; recessions; yield curve;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:ecb:ecbwps:2003294. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.