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Investing under model uncertainty: decision based evaluation of exchange rate forecasts in the US, UK and Japan

By Anthony Garratt and K. Lee


We evaluate the forecast performance of a range of theory-based and atheoretical models explaining exchange rates in the US, UK and Japan. A 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 forecast evaluation exercise is described using both statistical criteria and decision-based criteria. The theory-based models are found to perform relatively well when their forecasts are judged by their economic value

Topics: ems
Publisher: Elsevier
Year: 2010
OAI identifier:

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