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Spreads versus professional forecasters as predictors of future output change

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  • Kevin Aretz

    (Department of Accounting and Finance, Lancaster University, Lancaster, UK)

  • David A. Peel

    (Department of Economics, Lancaster University, Lancaster, UK)

Abstract

We examine whether real output forecasts obtained from the Survey of Professional Forecasters efficiently embody information in the term structure spread. To this end, we employ revised data as well as real-time vintage data, and we also allow for the possible impact of asymmetric loss functions. Assuming quadratic loss, our results suggest that the term structure spread does contain information useful for forecasting not reflected in the survey forecasts, at least over the longest forecast horizon. However, if we allow agents' loss functions to become more negatively skewed with the forecast horizon, then we cannot reject the rationality of the survey forecasts. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Kevin Aretz & David A. Peel, 2010. "Spreads versus professional forecasters as predictors of future output change," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 517-522.
    • Handle: RePEc:jof:jforec:v:29:y:2010:i:6:p:517-522
    DOI: 10.1002/for.1136
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    References listed on IDEAS

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    Cited by:

    1. 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.
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    3. Chrystalleni Aristidou & Kevin Lee & Kalvinder Shields, 2015. "Real-Time Data should be used in Forecasting Output Growth and Recessionary Events in the US," Discussion Papers 2015/13, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. David C. Wheelock & Mark E. Wohar, 2009. "Can the term spread predict output growth and recessions? a survey of the literature," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 419-440.

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