Term structure forecasting using macro factors and forecast combination
Michiel De Pooter,
Francesco Ravazzolo and
Dick van Dijk ()
No 2010/01, Working Paper from Norges Bank
We examine the importance of incorporating macroeconomic information and, in particular, accounting for model uncertainty when forecasting the term structure of U.S.interest rates. We start off by analyzing and comparing the forecast performance of several individual term structure models. Our results confirm and extend results found in previous literature that adding macroeconomic information, through factors extracted from a large number of individual series, tends to improve interest rate forecasts. We then show, however, that the predictive power of individual models varies over time significantly. Models with macro factors are the more accurate in and around recession periods. Models without macro factors do particularly well in low-volatility subperiods such as the late 1990s. We demonstrate that this problem of model uncertainty can be mitigated by combining individual model forecasts. Combining forecasts leads to encouraging gains in predictability, especially for longer-dated maturities, and importantly, these gains are consistent over time.
Keywords: Term structure of interest rates; Nelson-Siegel model; Affine term structure model; macro factors; forecast combination; Model Confidence Set (search for similar items in EconPapers)
JEL-codes: C11 C32 C5 E43 E47 (search for similar items in EconPapers)
Pages: 47 pages
New Economics Papers: this item is included in nep-cba, nep-for and nep-mon
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Working Paper: Term structure forecasting using macro factors and forecast combination (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:bno:worpap:2010_01
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