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dc.contributor.authorBurns, Kelly
dc.contributor.authorMoosa, I.
dc.identifier.citationBurns, K. and Moosa, I. 2017. Demystifying the Meese–Rogoff puzzle: structural breaks or measures of forecasting accuracy? Applied Economics. 49 (48): pp. 4897-4910.

Structural breaks have been suggested by several economists as a possible explanation for the Meese–Rogoff puzzle, in the sense that an exchange rate model can outperform the random walk in terms of the out-of-sample forecasting error if the period under investigation is free of structural breaks. The results indicate that structural breaks cannot explain the inability of the flexible price monetary model to outperform the random walk. The only plausible explanation for the Meese–Rogoff puzzle is that forecasting accuracy is traditionally assessed by magnitude-only measures. When forecasting accuracy is assessed by alternative measures that do not rely exclusively on the magnitude of error, the monetary model can outperform the random walk regardless of the presence or otherwise of structural breaks.

dc.titleDemystifying the Meese–Rogoff puzzle: structural breaks or measures of forecasting accuracy?
dc.typeJournal Article
dcterms.source.titleApplied Economics
curtin.departmentCurtin Graduate School of Business
curtin.accessStatusFulltext not available

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