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Forecasting with the yield curve; level, slope, and output 1875-1997

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  • Michael D. Bordo
  • Joseph G. Haubrich

Abstract

Using the yield curve helps forecast real growth over the period 1875 to 1997. Using both the level and slope of the curve improves forecasts more than using either variable alone. Forecast performance changes over time and depends somewhat on whether recursive or rolling out of sample regressions are used.

Suggested Citation

  • Michael D. Bordo & Joseph G. Haubrich, 2006. "Forecasting with the yield curve; level, slope, and output 1875-1997," Working Papers (Old Series) 0611, Federal Reserve Bank of Cleveland.
    • Handle: RePEc:fip:fedcwp:0611
    DOI: 10.26509/frbc-wp-200611
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    References listed on IDEAS

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    1. Robert J. Gordon, 1986. "The American Business Cycle: Continuity and Change," NBER Books, National Bureau of Economic Research, Inc, number gord86-1, March.
    2. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
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    5. Michael Bordo & Joseph Haubrich, 2004. "The Yield Curve, Recession and the Credibility of the Monetary Regime: long run evidence 1875-1997," Econometric Society 2004 North American Summer Meetings 165, Econometric Society.
    6. Ann M. Dombrosky & Joseph G. Haubrich, 1996. "Predicting real growth using the yield curve," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 26-35.
    7. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    8. 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.
    9. Arturo Estrella, 2005. "Why Does the Yield Curve Predict Output and Inflation?," Economic Journal, Royal Economic Society, vol. 115(505), pages 722-744, July.
    10. Jonathan H. Wright, 2006. "The yield curve and predicting recessions," Finance and Economics Discussion Series 2006-07, Board of Governors of the Federal Reserve System (U.S.).
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    Citations

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    Cited by:

    1. Periklis Gogas & Ioannis Pragidis, 2012. "GDP trend deviations and the yield spread: the case of eight E.U. countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 226-237, January.
    2. 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.
    3. Kuosmanen, Petri & Vataja, Juuso, 2014. "Forecasting GDP growth with financial market data in Finland: Revisiting stylized facts in a small open economy during the financial crisis," Review of Financial Economics, Elsevier, vol. 23(2), pages 90-97.
    4. Junko Koeda, 2012. "How does yield curve predict GDP growth? A macro-finance approach revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 19(10), pages 929-933, July.
    5. 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.
    6. Junttila, Juha & Vataja, Juuso, 2018. "Economic policy uncertainty effects for forecasting future real economic activity," Economic Systems, Elsevier, vol. 42(4), pages 569-583.
    7. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    8. Kuosmanen, Petri & Vataja, Juuso, 2019. "Time-varying predictive content of financial variables in forecasting GDP growth in the G-7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 211-222.
    9. Gogas, Periklis & Pragidis, Ioannis, 2010. "GDP Trend Deviations and the Yield Spread: the Case of Five E.U. Countries," DUTH Research Papers in Economics 2-2010, Democritus University of Thrace, Department of Economics.
    10. Arif Dar & Amaresh Samantaraya & Firdous Shah, 2014. "The predictive power of yield spread: evidence from wavelet analysis," Empirical Economics, Springer, vol. 46(3), pages 887-901, May.
    11. Aloui, Chaker & Nguyen, Duc Khuong & Njeh, Hassen, 2012. "Assessing the impacts of oil price fluctuations on stock returns in emerging markets," Economic Modelling, Elsevier, vol. 29(6), pages 2686-2695.
    12. Firdous Ahmad Shah & Lokenath Debnath, 2017. "Wavelet Neural Network Model for Yield Spread Forecasting," Mathematics, MDPI, vol. 5(4), pages 1-15, November.
    13. Leo Krippner & Leif Anders Thorsrud, 2009. "Forecasting New Zealand's economic growth using yield curve information," Reserve Bank of New Zealand Discussion Paper Series DP2009/18, Reserve Bank of New Zealand.
    14. Dalu Zhang & Peter Moffatt, 2012. "The yield curve as a leading indicator in economic forecasting in the U.K," University of East Anglia Applied and Financial Economics Working Paper Series 035, School of Economics, University of East Anglia, Norwich, UK..
    15. Rockoff, Hugh & White, Eugene N., 2012. "Monetary Regimes and Policy on a Global Scale: The Oeuvre of Michael D. Bordo," MPRA Paper 49672, University Library of Munich, Germany, revised May 2013.
    16. Petri Kuosmanen & Juuso Vataja, 2014. "Forecasting GDP growth with financial market data in Finland: Revisiting stylized facts in a small open economy during the financial crisis," Review of Financial Economics, John Wiley & Sons, vol. 23(2), pages 90-97, April.
    17. Michael D. Bordo & Joseph G. Haubrich, 2020. "Low Interest Rates and the Predictive Content of the Yield Curve," Working Papers 20-24R, Federal Reserve Bank of Cleveland, revised 21 Dec 2021.
    18. Kao, Yi-Cheng & Kuan, Chung-Ming & Chen, Shikuan, 2013. "Testing the predictive power of the term structure without data snooping bias," Economics Letters, Elsevier, vol. 121(3), pages 546-549.
    19. Dalu Zhang & Peter Moffatt, 2013. "Time series non-linearity in the real growth / recession-term spread relationship," University of East Anglia Applied and Financial Economics Working Paper Series 047, School of Economics, University of East Anglia, Norwich, UK..
    20. Kuosmanen, Petri & Rahko, Jaana & Vataja, Juuso, 2019. "Predictive ability of financial variables in changing economic circumstances," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 37-47.

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    Keywords

    Interest rates; Gross national product;

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