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Yield curve prediction for the strategic investor

Author

Listed:
  • Bernadell, Carlos
  • Coche, Joachim
  • Nyholm, Ken

Abstract

This paper presents a new framework allowing strategic investors to generate yield curve projections contingent on expectations about future macroeconomic scenarios. By consistently linking the shape and location of yield curves to the state of the economy our method generates predictions for the full yield-curve distribution under different assumptions on the future state of the economy. On the technical side, our model represents a regimeswitching expansion of Diebold and Li (2003) and hence rests on the Nelson-Siegel functional form set in state-space form. We allow transition probabilities in the regimeswitching set-up to depend on observed macroeconomic variables and thus create a link between the macro economy and the shape and location of yield curves and their time-series evolution. The model is successfully applied to US yield curve data covering the period from 1953 to 2004 and encouraging out-of-sample results are obtained, in particular at forecasting horizons longer than 24 months. JEL Classification: C51, C53, E44

Suggested Citation

  • Bernadell, Carlos & Coche, Joachim & Nyholm, Ken, 2005. "Yield curve prediction for the strategic investor," Working Paper Series 472, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2005472
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    File URL: https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp472.pdf
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    Citations

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    Cited by:

    1. Coroneo, Laura & Nyholm, Ken & Vidova-Koleva, Rositsa, 2011. "How arbitrage-free is the Nelson-Siegel model?," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 393-407, June.
    2. Carlo A. Favero & Stefano W. Giglio, 2006. "Fiscal Policy and the Term Structure: Evidence from the Case of Italy in the EMS and the EMU Periods," Working Papers 312, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Ken Nyholm & Riccardo Rebonato, 2008. "Long-horizon yield curve projections: comparison of semi-parametric and parametric approaches," Applied Financial Economics, Taylor & Francis Journals, vol. 18(20), pages 1597-1611.
    4. Chauvet, Marcelle & Senyuz, Zeynep, 2008. "A Joint Dynamic Bi-Factor Model of the Yield Curve and the Economy as a Predictor of Business Cycles," MPRA Paper 15076, University Library of Munich, Germany, revised Apr 2009.
    5. Bernadell, Carlos & Coche, Joachim & Nyholm, Ken, 2006. "A factor risk model with reference returns for the US dollar and Japanese yen bond markets," Working Paper Series 641, European Central Bank.
    6. 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.
    7. Michiel De Pooter, 2007. "Examining the Nelson-Siegel Class of Term Structure Models," Tinbergen Institute Discussion Papers 07-043/4, Tinbergen Institute.

    More about this item

    Keywords

    regime switching; scenario analysis; state space model; yield curve distributions;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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