Out-of-sample forecast tests robust to the choice of window size
Atsushi Inoue and
Barbara Rossi
No 11-31, Working Papers from Federal Reserve Bank of Philadelphia
Abstract:
This paper proposes new methodologies for evaluating out-of-sample forecasting performance that are robust to the choice of the estimation window size. The methodologies involve evaluating the predictive ability of forecasting models over a wide range of window sizes. The authors show that the tests proposed in the literature may lack the power to detect predictive ability and might be subject to data snooping across different window sizes if used repeatedly. An empirical application shows the usefulness of the methodologies for evaluating exchange rate models' forecasting ability.
Keywords: Forecasting (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-cba, nep-ecm, nep-ets and nep-for
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Citations: View citations in EconPapers (8)
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Related works:
Journal Article: Out-of-Sample Forecast Tests Robust to the Choice of Window Size (2012)
Working Paper: Out-of-sample forecast tests robust to the choice of window size (2012)
Working Paper: Out-of-Sample Forecast Tests Robust to the Choice of Window Size (2011)
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