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Out-of-Sample Forecast Tests Robust to the Choice of Window Size

Listed author(s):
  • Inoue, Atsushi
  • Rossi, Barbara

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. We 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.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 8542.

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Date of creation: Aug 2011
Handle: RePEc:cpr:ceprdp:8542
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