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A dynamic factor model of the yield curve components as a predictor of the economy

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  • Chauvet, Marcelle
  • Senyuz, Zeynep

Abstract

In this paper, we propose an econometric model of the joint dynamic relationship between the Treasury yield curve components and the economy, for predicting business cycle turning points. The nonlinear multivariate dynamic factor model takes into account not only the popular slope, but also information extracted from the level and curvature of the yield curve, and from macroeconomic variables. We investigate the interrelationship between the phases of cyclical fluctuations in yield curve components and the phases of the business cycle. The results indicate a strong interrelationship between the yield curve and the economy. The proposed model has substantial incremental predictive value relative to alternative specifications. This result holds both in-sample and out-of-sample, using revised and real time unrevised data.

Suggested Citation

  • Chauvet, Marcelle & Senyuz, Zeynep, 2016. "A dynamic factor model of the yield curve components as a predictor of the economy," International Journal of Forecasting, Elsevier, vol. 32(2), pages 324-343.
    • Handle: RePEc:eee:intfor:v:32:y:2016:i:2:p:324-343
    DOI: 10.1016/j.ijforecast.2015.05.007
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    9. Goodness C. Aye & Christina Christou & Luis A. Gil‐Alana & Rangan Gupta, 2019. "Forecasting the Probability of Recessions in South Africa: the Role of Decomposed Term Spread and Economic Policy Uncertainty," Journal of International Development, John Wiley & Sons, Ltd., vol. 31(1), pages 101-116, January.
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    11. Polat, Onur & Ozkan, Ibrahim, 2019. "Transmission mechanisms of financial stress into economic activity in Turkey," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 395-415.

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