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Nelson–Siegel, Affine and Quadratic Yield Curve Specifications: Which One is Better at Forecasting?

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  • Ken Nyholm
  • Rositsa Vidova‐Koleva

Abstract

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Suggested Citation

  • Ken Nyholm & Rositsa Vidova‐Koleva, 2012. "Nelson–Siegel, Affine and Quadratic Yield Curve Specifications: Which One is Better at Forecasting?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(6), pages 540-564, September.
    • Handle: RePEc:wly:jforec:v:31:y:2012:i:6:p:540-564
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    Citations

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    Cited by:

    1. Laurini, Márcio P. & Caldeira, João F., 2016. "A macro-finance term structure model with multivariate stochastic volatility," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 68-90.
    2. João F. Caldeira & Guilherme V. Moura & , Fabricio Tourrucôo, 2016. "Forecasting the yield curve with the arbitrage-free dynamic Nelson-Siegel model: Brazilian evidence," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 17(2), pages 221-237.
    3. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    4. Giuseppe Arbia & Michele Di Marcantonio, 2015. "Forecasting Interest Rates Using Geostatistical Techniques," Econometrics, MDPI, vol. 3(4), pages 1-28, November.
    5. Albert K. Tsui & Junxiang Wu & Zhaoyong Zhang & Zhongxi Zheng, 2023. "Forecasting term structure of the Japanese bond yields in the presence of a liquidity trap," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1205-1227, August.
    6. Kladívko, Kamil & Rusý, Tomáš, 2023. "Maximum likelihood estimation of the Hull–White model," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 227-247.

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