IDEAS home Printed from https://ideas.repec.org/a/kap/empiri/v44y2017i1d10.1007_s10663-015-9309-z.html
   My bibliography  Save this article

The predictive ability of a risk-adjusted yield spread for economic activity in Europe

Author

Listed:
  • Alfred Guender

    (University of Canterbury)

  • Bernard Tolan

    (New Zealand Treasury)

Abstract

This paper examines whether the pricing of risk is important for macroeconomic activity at the country level. We design a risk-adjusted yield spread and test its predictive content for economic activity on the periphery and the centre of Europe over the 1990–2012 period. This risk-adjusted bond yield spread is defined in a cross-country context and referred to as the GZ-type spread. Increases in the yield on corporate bonds issued in the countries on the periphery relative to the riskless yield (calculated using German zero-coupon term structure data) reflect increases in the risk premium that the financial market imposes on borrowers. The risk premium rises in all countries during European-wide recessions of the recent past, particularly those associated with the Global Financial and the Sovereign Debt Crisis. Our findings indicate further that this GZ-type spread acts as a reliable signal for imminent and near-term economic activity in countries where financial markets were shaken to their foundations during the Crisis period. For Germany, the GZ-spread has predictive content for industrial production but not for the unemployment rate. For GDP its predictive ability is confined to the EMU period.

Suggested Citation

  • Alfred Guender & Bernard Tolan, 2017. "The predictive ability of a risk-adjusted yield spread for economic activity in Europe," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 1-27, February.
  • Handle: RePEc:kap:empiri:v:44:y:2017:i:1:d:10.1007_s10663-015-9309-z
    DOI: 10.1007/s10663-015-9309-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10663-015-9309-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10663-015-9309-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Moersch, Mathias, 1996. "Predicting output with a money market spread," Journal of Economics and Business, Elsevier, vol. 48(2), pages 185-199, May.
    2. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    3. Bank for International Settlements, 2011. "The impact of sovereign credit risk on bank funding conditions," CGFS Papers, Bank for International Settlements, number 43, december.
    4. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    5. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    6. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    7. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    8. Mody, Ashoka & Taylor, Mark P., 2004. "Financial predictors of real activity and the financial accelerator," Economics Letters, Elsevier, vol. 82(2), pages 167-172, February.
    9. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    10. Gabe de Bondt, 2004. "The balance sheet channel of monetary policy: first empirical evidence for the euro area corporate bond market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 219-228.
    11. Gertler, Mark & Lown, Cara S, 1999. "The Information in the High-Yield Bond Spread for the Business Cycle: Evidence and Some Implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 15(3), pages 132-150, Autumn.
    12. De Marco, Filippo, 2019. "Bank Lending and the European Sovereign Debt Crisis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 155-182, February.
    13. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    14. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    15. Harvey, Campbell R., 1988. "The real term structure and consumption growth," Journal of Financial Economics, Elsevier, vol. 22(2), pages 305-333, December.
    16. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-492, June.
    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. Guender, Alfred V, 2018. "Credit prices vs. credit quantities as predictors of economic activity in Europe: Which tell a better story?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 380-399.

    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. Alfred V Guender & Bernard Tolan, 2013. "The Centre Matters for the Periphery of Europe: The Predictive Ability of a GZ-Type Spread for Economic Activity in Europe," Working Papers in Economics 13/29, University of Canterbury, Department of Economics and Finance.
    2. Michael Bleaney & Paul Mizen & Veronica Veleanu, 2012. "Bond Spreads as Predictors of Economic Activity in Eight European Economies," Discussion Papers 12/11, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    3. Michael Bleaney & Paul Mizen & Veronica Veleanu, 2016. "Bond Spreads and Economic Activity in Eight European Economies," Economic Journal, Royal Economic Society, vol. 126(598), pages 2257-2291, December.
    4. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    5. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2017. "The term structure of credit spreads and business cycle in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 45(C), pages 27-36.
    6. Bassett, William F. & Chosak, Mary Beth & Driscoll, John C. & Zakrajšek, Egon, 2014. "Changes in bank lending standards and the macroeconomy," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 23-40.
    7. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    8. Carabarín Aguirre Mauricio & Peláez Gómez Carlos D., 2021. "Financial Frictions in Mexico: Evidence from the Credit Spread and its Components," Working Papers 2021-20, Banco de México.
    9. Chatterjee, Ujjal Kanti & Bazzana, Flavio, 2024. "Do corporate credit spreads predict the real economy?," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 272-286.
    10. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    11. Stijn Claessens & M Ayhan Kose, 2017. "Asset prices and macroeconomic outcomes: a survey," BIS Working Papers 676, Bank for International Settlements.
    12. Hännikäinen, Jari, 2017. "When does the yield curve contain predictive power? Evidence from a data-rich environment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1044-1064.
    13. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2022. "The credit spread curve distribution and economic fluctuations in Japan," Journal of International Money and Finance, Elsevier, vol. 122(C).
    14. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
    15. Ben-Rephael, Azi & Choi, Jaewon & Goldstein, Itay, 2021. "Mutual fund flows and fluctuations in credit and business cycles," Journal of Financial Economics, Elsevier, vol. 139(1), pages 84-108.
    16. Gilchrist, Simon & Yankov, Vladimir & Zakrajsek, Egon, 2009. "Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 471-493, May.
    17. Dunbar, Kwamie & Jiang, Jing, 2020. "What do movements in financial traders’ net long positions reveal about aggregate stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    18. Gross, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
    19. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Vulnerable Growth," American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.
    20. Simon Gilchrist & Benoit Mojon, 2018. "Credit Risk in the Euro Area," Economic Journal, Royal Economic Society, vol. 128(608), pages 118-158, February.

    More about this item

    Keywords

    Corporate bond yield spread; Predictive content; Economic activity in Europe; Financial and Debt Crisis;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • G1 - Financial Economics - - General Financial Markets

    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:kap:empiri:v:44:y:2017:i:1:d:10.1007_s10663-015-9309-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.