Adaptive dynamic Nelson–Siegel term structure model with applications

Ying Chen and Linlin Niu

Journal of Econometrics, 2014, vol. 180, issue 1, 98-115

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 20% and 60%. 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 (search for similar items in EconPapers)
JEL-codes: C32 C53 E43 E47 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (33)

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Working Paper: Adaptive Dynamic Nelson-Siegel Term Structure Model with Applications (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:180:y:2014:i:1:p:98-115

DOI: 10.1016/j.jeconom.2014.02.009

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