Forecasting the yield curve - Forecast performance of the dynamic Nelson-Siegel model from 1971 to 2008

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

MPRA Paper from University Library of Munich, Germany

Abstract: We define a parameter representing the relative forecast performance to compare forecasting results of different methods. By using this parameter, we analyze the performance of the dynamic Nelson-Siegel model and, for comparison, the first order autoregressive (AR(1)) model applied to a set of US bond yield data that covers a time span from November 1971 to December 2008. As a reference, we take the random walk model applied to the yield data. Our findings indicate that none of the models can convincingly beat the random walk model. Furthermore, there is no advantage in using the more advanced and complicated dynamic Nelson-Siegel model over a simple AR(1) model.

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)
Date: 2013-07-11
New Economics Papers: this item is included in nep-for and nep-mac
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