Buch, Englisch, 150 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 3158 g
ISBN: 978-1-137-45247-4
Verlag: Palgrave MacMillan UK
Marking the culmination of their extensive research into the Meese-Rogoff puzzle, Moosa and Burns challenge the orthodoxy by demonstrating that the naïve random walk model can be outperformed by exchange rate models when forecasting accuracy is measured by metrics that do not rely exclusively on the magnitude of forecasting error. The authors present compelling evidence, supported by their own measure: the 'adjusted root mean square error', to finally solve the Meese-Rogoff puzzle and provide a new alternative.
Demystifying the Meese-Rogoff Puzzle will appeal to academics with an interest in exchange rate economics and international monetary economics. It will also be a useful resource for central banks and financial institutions.
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Research
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Weitere Infos & Material
1. The Meese-Rogoff Puzzle 2. A Selective Survey of Subsequent Studies 3. Basic Methodology, Data and Results 4. Alternative Measures of Forecasting Accuracy 5. Stochastic Movements in the Underlying Parameters 6. Model Misspecification 7. The Effect of Non-linearities 8. Simultaneous Equation Bias 9. Sampling Errors 10. Modelling Expectations 11. Concluding Remarks