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Estimation of Term Structures using Nelson-Siegel and Nelson-Siegel-Svensson: A Case of a Zimbabwean Bank

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  • Jacob Muvingi
  • Takudzwa Kwinjo

Abstract

The primary objective of the study was to determine the best parametric model that can be used for fitting yield curves for a bank between Nelson-Siegel model and Nelson-Siegel-Svensson.Nelson-Siegel and Nelson-Siegel-Svensson models using Ordinary Least Squares after fixing the shape parameters to make the models linear models. A t-test conducted is conducted on the adjusted R2 of the two models and results showed that Nelson-Siegel-Svensson model fits better the yield curves of the Bank compared to Nelson-Siegel model. An analysis of the out-of-sample forecasting abilities of the two models using AR(1) conducted using E-views shows that the two parametric models have excellent out-of-sample forecasting abilities on all of their parameters. The time independent of Nelson-Siegel-Svensson model was found to be negative in most of the time and could not be interpreted as a long run yield of the Bank. It is also highlighted that the models produces very low levels of R2 in many cases because of the high volatility that is found in the market interest rates of certificates of deposits. The estimated yield curve may be used as a reference curve for funds transfer pricing systems.

Suggested Citation

  • Jacob Muvingi & Takudzwa Kwinjo, 2014. "Estimation of Term Structures using Nelson-Siegel and Nelson-Siegel-Svensson: A Case of a Zimbabwean Bank," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 4(6), pages 1-9.
    • Handle: RePEc:spt:apfiba:v:4:y:2014:i:6:f:4_6_9
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    Cited by:

    1. Erhard RESCHENHOFER & Thomas STARK, 2019. "Forecasting the Yield Curve with Dynamic Factors," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 101-113, March.
    2. Amira Abid & Fathi Abid, 2024. "Sovereign Credit Risk in Saudi Arabia, Morocco and Egypt," JRFM, MDPI, vol. 17(7), pages 1-20, July.

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