Adaptive Dynamic Nelson-Siegel Term Structure Model with Applications

50 Pages Posted: 20 Mar 2012 Last revised: 22 Jan 2022

See all articles by Ying Chen

Ying Chen

Humboldt University of Berlin - Center for Applied Statistics and Economics (CASE)

Linlin Niu

Xiamen University - Wang Yanan Institute for Studies in Economics (WISE); Xiamen University - School of Economics

Date Written: June 2, 2013

Abstract

We propose an Adaptive Dynamic Nelson-Siegel (ADNS) model to adaptively detect parameter changes and forecast the yield curve. The model is simple yet flexible and can be safely applied to both stationary and nonstationary situations with different sources of parameter changes. For the 3- to 12-months ahead out-of-sample forecasts of the US yield curve from 1998:1 to 2010:9, the ADNS model dominates both the popular reduced-form and affine term structure models; compared to random walk prediction, the ADNS steadily reduces the forecast error measurements by between 25 and 60 percent. The locally estimated coefficients and the identified stable subsamples over time align with policy changes and the timing of the recent financial crisis.

Keywords: Yield curve, term structure of interest rates, local parametric models, forecasting

JEL Classification: C32, C53, E43, E47

Suggested Citation

Chen, Ying and Niu, Linlin, Adaptive Dynamic Nelson-Siegel Term Structure Model with Applications (June 2, 2013). Journal of Econometrics, Vol. 180, No. 1, 2014, Available at SSRN: https://ssrn.com/abstract=2025853 or http://dx.doi.org/10.2139/ssrn.2025853

Ying Chen

Humboldt University of Berlin - Center for Applied Statistics and Economics (CASE)

Spandauer Strasse 1
Berlin, D-10178
Germany

Linlin Niu (Contact Author)

Xiamen University - Wang Yanan Institute for Studies in Economics (WISE) ( email )

A 306, Economics Building
Xiamen, Fujian 361005
China

Xiamen University - School of Economics ( email )

China

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