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Forecasting the Government Bond Term Structure in Australia
Authors:Rui Chen  Jiri Svec  Maurice Peat
Affiliation:1. Central University of Finance and Economics;2. The University of Sydney
Abstract:In this paper, we evaluate the performance of the dynamic Nielsen and Siegel interest rate model in forecasting Australian government bond yields. We compare a two‐stage OLS estimation procedure to a more powerful and robust state‐space framework estimated via a Kalman filter. We show that the one‐step approach generates smaller forecast errors than the two‐step procedure or a benchmark random walk model when forecasting the Australian government term structure across various horizons.
Keywords:C53  E43  E47
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