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The Centre Matters for the Periphery of Europe: The Predictive Ability of a GZ-Type Spread for Economic Activity in Europe

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This paper examines whether information from bond markets provides a reliable signal for future economic activity in Europe. It evaluates the marginal predictive content and economic significance of a risk-adjusted yield credit spread in five European countries from the early 1990s to the recent past. The inclusion of this bond yield spread improves markedly the goodness of fit of the forecasting equation for economic activity in countries on the European periphery. The within-sample forecasting ability of the GZ-spread is remarkable, both over the whole sample period and a sub-sample period marking the effective beginning of the Economic and Monetary Union of Europe in 1999. Its effect on economic activity is felt particularly during the 2007-12 Crisis period.

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  • 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.
    • Handle: RePEc:cbt:econwp:13/29
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    1. 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.
    2. 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.
    3. 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.
    4. Mr. Iryna V. Ivaschenko & Mr. Jorge A Chan-Lau, 2001. "Corporate Bond Risk and Real Activity: An Empirical Analysis of Yield Spreads and Their Systematic Components," IMF Working Papers 2001/158, International Monetary Fund.
    5. 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.
    6. Davis, E Philip & Fagan, Gabriel, 1997. "Are Financial Spreads Useful Indicators of Future Inflation and Output Growth in EU Countries?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 701-714, Nov.-Dec..
    7. 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.
    8. 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.
    9. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    10. 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.
    11. Moersch, Mathias, 1996. "Predicting output with a money market spread," Journal of Economics and Business, Elsevier, vol. 48(2), pages 185-199, May.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Harvey, Campbell R., 1988. "The real term structure and consumption growth," Journal of Financial Economics, Elsevier, vol. 22(2), pages 305-333, December.
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    Cited by:

    1. Schock, Matthias, 2015. "Predicting Economic Activity via Eurozone Yield Spreads: Impact of Credit Risk," Hannover Economic Papers (HEP) dp-542, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Schock, Matthias, 2014. "Do Eurozone yield spreads predict recessions?," Hannover Economic Papers (HEP) dp-532, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

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    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

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