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

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Author Info
Michael D. Bordo
Joseph G. Haubrich

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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.

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Paper provided by Federal Reserve Bank of Cleveland in its series Working Paper with number 0611.

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Date of creation: 2006
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Handle: RePEc:fip:fedcwp:0611

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Keywords: Interest rates ; Gross national product;

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  1. 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. [Downloadable!] (restricted)
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  2. Joseph G. Haubrich & Ann M. Dombrosky, 1996. "Predicting real growth using the yield curve," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 26-35. [Downloadable!]
  3. Andrew Ang & Monika Piazzesi & Min Wei, 2003. "What does the yield curve tell us about GDP growth?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar. [Downloadable!]
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  4. 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.
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  5. Arturo Estrella, 2005. "Why Does the Yield Curve Predict Output and Inflation?," Economic Journal, Royal Economic Society, vol. 115(505), pages 722-744, 07. [Downloadable!] (restricted)
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This page was last updated on 2009-11-12.

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