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Forecasting the yield curve: art or science?

Tomas K. Molenaars, Nick H. Reinerink and Marcus Hemminga

MPRA Paper from University Library of Munich, Germany

Abstract: The objective of our work is to analyze the forecast performance of the dynamic Nelson-Siegel yield curve model and, for comparison, the first order autoregressive (AR(1)) model applied to a set of US bond yield data that covers a large timespan from November 1971 to December 2008. As a reference we take the random walk model applied to the yield data. For our analysis, we make use of a simple parameter representing the relative forecast performance to compare forecasting results of different methods. Our findings indicate that none of the yield curve models convincingly beats the random walk model. Furthermore, our results show that deriving conclusions on basis of model testing for a limited time period is inadequate.

Keywords: Term structure of interest rates; Yield curve modeling; Dynamic Nelson-Siegel model; Out-of-sample forecasting evaluations. (search for similar items in EconPapers)
JEL-codes: C5 E4 G17 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-for, nep-mac and nep-ore
Date: 2015-02-05
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https://mpra.ub.uni-muenchen.de/61917/1/MPRA_paper_61917.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/63526/1/MPRA_paper_61917.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/63526/9/MPRA_paper_63526.pdf revised version (application/pdf)

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