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A reappraisal of the leading indicator properties of the yield curve under structural instability

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  • Schrimpf, Andreas
  • Wang, Qingwei

Abstract

This paper provides an extensive re-examination of the leading indicator properties of the yield curve in four major developed countries (Canada, Germany, the United Kingdom, and the United States). We study whether the yield spread still qualifies as a useful predictor of real activity in the presence of structural change. Based on tests for multiple structural breaks, we find strong evidence of instability in the relationship between the yield spread and output growth, which allows us to pin down the exact dates associated with these breaks for the different countries. We find that the window selection methods recently developed for forecasting in the presence of structural change generally offer some improvements in terms of forecast accuracy. However, our overall results strongly suggest that the yield curve has been losing its edge as a predictor of output growth in recent years.

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  • Schrimpf, Andreas & Wang, Qingwei, 2010. "A reappraisal of the leading indicator properties of the yield curve under structural instability," International Journal of Forecasting, Elsevier, vol. 26(4), pages 836-857, October.
  • Handle: RePEc:eee:intfor:v:26:y::i:4:p:836-857
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    Cited by:

    1. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, Elsevier.
    2. Crump, Richard K. & Eusepi, Stefano & Moench, Emanuel, 2016. "The term structure of expectations and bond yields," Staff Reports 775, Federal Reserve Bank of New York, revised 01 Feb 2017.
    3. Liu, Weiling & Moench, Emanuel, 2016. "What predicts US recessions?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1138-1150.
    4. 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.
    5. Christiansen, Charlotte, 2013. "Predicting severe simultaneous recessions using yield spreads as leading indicators," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1032-1043.
    6. Møller, Stig V., 2014. "GDP growth and the yield curvature," Finance Research Letters, Elsevier, vol. 11(1), pages 1-7.
    7. Raffaella Giacomini & Barbara Rossi, 2013. "Forecasting in macroeconomics," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 17, pages 381-408 Edward Elgar Publishing.
    8. Pesaran, M. Hashem & Pick, Andreas & Pranovich, Mikhail, 2013. "Optimal forecasts in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 134-152.
    9. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    10. Pesaran, M.H. & Pick, A. & Pranovich, M., 2011. "Optimal Forecasts in the Presence of Structural Breaks (Updated 14 November 2011)," Cambridge Working Papers in Economics 1163, Faculty of Economics, University of Cambridge.
    11. Anna Florio, 2016. "The central bank as shaper and observer of events: The case of the yield spread," Canadian Journal of Economics, Canadian Economics Association, vol. 49(1), pages 320-346, February.
    12. Daniel Borup & Martin Thyrsgaard, 1705. "Statistical tests for equal predictive ability across multiple forecasting methods," CREATES Research Papers 2017-19, Department of Economics and Business Economics, Aarhus University.
    13. Christiansen, Charlotte & Eriksen, Jonas Nygaard & Møller, Stig Vinther, 2014. "Forecasting US recessions: The role of sentiment," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 459-468.
    14. Aslanidis, Nektarios & Christiansen, Charlotte & Savva, Christos S., 2016. "Risk-return trade-off for European stock markets," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 84-103.
    15. repec:eee:ecmode:v:67:y:2017:i:c:p:294-299 is not listed on IDEAS

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