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Adaptive Dynamic Nelson-Siegel Term Structure Model with Applications

id：2047 时间：20131014 状态：published 点击数：
作者Ying Chen, Linlin Niu
正文We propose an Adaptive Dynamic Nelson-Siegel (ADNS) model to adaptively forecast the yield curve. The model has a simple yet flexible structure and can be safely applied to both stationary and nonstationary situations with different sources of change. 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 dynamic Nelson-Siegel (DNS) and random walk models, reducing the forecast error measurements by between 30 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.
JEL-Codes：C32, C53, E43, E47
关键词：Yield curve, term structure of interest rates, local parametric models, forecasting
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