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Investing Under Model Uncertainty: Decision Based Evaluation of Exchange Rate and Interest Rate Forecasts in the US, UK and Japan Author info | Abstract | Publisher info | Download info | Related research | Statistics Anthony Garratt (Department of Economics, Mathematics & Statistics, Birkbeck)
Kevin Lee
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We evaluate the forecast performance of a range of theory-based and atheoretical models explaining exchange rates and interest rates in US, UK and Japan. The decision-making environment is fully described for an investor who optimally allocates portfolio shares to domestic and foreign assets. Methods necessary to compute and use forecasts in this context are proposed, including the means of combining density forecasts to deal with model uncertainty. An out-of-sample evaluation exercise covering the 1990’s is described, comparing statistical criteria with decision-based criteria. The theory-based models are found to perform relatively well when their forecasts are judged by their economic value.
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Paper provided by Birkbeck, Department of Economics, Mathematics & Statistics in its series Birkbeck Working Papers in Economics and Finance with number
0616.
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Date of creation: Dec 2006Date of revision:
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Keywords: Model Averaging ; Buy and Hold ; Exchange rate and interest rate forecasts. ; Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
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