Modeling the time-varying dynamic term structure of interest rates *

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3

초록

We propose a new dynamic Nelson-Siegel yield curve model in which two time-varying factor-specific decay parameters govern the slope and curvature factor loadings, and the factor shock variance- covariance (SV) follows a stochastic inverse Wishart process. The proposed model is compared with simpler specifications in terms of statistical and economic criteria to demonstrate the importance of jointly incorporating time-varying factor loadings and SV. We examine the out-of-sample yield curve density forecasting performance for statistical evaluation. The utility gain from the bond portfolio optimization of a Bayesian risk-averse investor measures the model's economic value. Our out-of-sample experiment using United States monthly yield curve data indicates that the time-varying factor loadings and SV accommodate gradual structural changes in the yield curve dynamics around an unconventional monetary policy period, thereby improving the predictive accuracy and utility gain. & COPY; 2023 Elsevier B.V. All rights reserved.

키워드

Out-of-sample density forecasting; Bond portfolio choice; Posterior predictive likelihood; Certainty equivalent return; YIELD CURVE; ASSET-ALLOCATION; PREDICTABILITY
제목
Modeling the time-varying dynamic term structure of interest rates *
저자
Choi, Ahjin; Kang, Kyu Ho
DOI
10.1016/jabankfin.2023.106908
발행일
2023-08
유형
Article
저널명
Journal of Banking and Finance
권
153