Forecasting the term structure of government bond yields. (English) Zbl 1337.62324
Summary: Despite powerful advances in yield curve modeling in the last 20 years, comparatively little attention has been paid to the key practical problem of forecasting the yield curve. In this paper we do so. We use neither the no-arbitrage approach nor the equilibrium approach. Instead, we use variations on the Nelson-Siegel exponential components framework to model the entire yield curve, period-by-period, as a three-dimensional parameter evolving dynamically. We show that the three time-varying parameters may be interpreted as factors corresponding to level, slope and curvature, and that they may be estimated with high efficiency. We propose and estimate autoregressive models for the factors, and we show that our models are consistent with a variety of stylized facts regarding the yield curve. We use our models to produce term-structure forecasts at both short and long horizons, with encouraging results. In particular, our forecasts appear much more accurate at long horizons than various standard benchmark forecasts.
MSC:
| 62P05 | Applications of statistics to actuarial sciences and financial mathematics |
| 62M20 | Inference from stochastic processes and prediction |
| 62M09 | Non-Markovian processes: estimation |
| 91B84 | Economic time series analysis |
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