Journal of Business and Economic Statistics, 30 (3), 432-453, 2012
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. 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.
Other authors
Universitat Pompeu Fabra. Departament d'Economia i Empresa
Description
Collection
Economics and Business Working Papers Series; 1404