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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

Abstract

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: oai:eprints.bbk.ac.uk.oai2:1936

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Citations

  1. (2001),“Nominal Exchange Rates and Monetary Fundamentals: Evidence from a Small Post Bretton Woods Panel”, doi
  2. (1993). A Utility-Based Comparison of Some Models of Exchange Rate Volatility”, doi
  3. (1995). Assessment and Propagation of Model Uncertainty,”
  4. (1999). Asymmetric Density Forecasts of Inflation and the doi
  5. (2003). Bayesian Model Averaging and Exchange Rate Forecasts”, downl;aodable at http://www.econ.jhu.edu/People/Wright/index.html, forthcoming
  6. (1999). Bayesian Model Averaging: A Tutorial”, doi
  7. (2001). Benchmark Priors for Bayesian Model Averaging,” doi
  8. (1987). Cointegration Tests and Present Value Models”, doi
  9. (1989). Combining Forecasts: A Review and Annotated Bibliography with Discussion, doi
  10. (2004). Comparing the Accuracy of Density Forecasts form Competing Models”, doi
  11. (1991). Economic Forecasts Evaluation: Profits Versus the Conventional Measures”,
  12. (2005). Empirical Exchange Rate Models of the Nineties: Are They Fit to Survive?”, doi
  13. (2003). Exchange Rate Forecasting: the error we’ve really made”, doi
  14. (1983). Exchange Rate Models of the Seventies: Do they Fit Out of Sample?”, doi
  15. (1995). Exchange Rates and Fundamentals: Evidence on LongHorizon Predictability”,
  16. (2005). Exchange Rates and Fundamentals: Evidence on the Economic Value of Predictability”, doi
  17. (2006). Forecast Combinations”. In: doi
  18. (2003). Forecast Uncertainties in Macroeconometric Modelling: An Application to the UK Economy, doi
  19. (2006). Global and National Macroeconometric Modelling: A Long-Run Structural Approach, doi
  20. (2005). Information in Economic Forecasting”, doi
  21. (2000). Investing for the Long Run when Returns Are Predictable”, doi
  22. (2001). Long-Horizon Exchange Rate Predictability?”, doi
  23. (1996). One the Predictability of Stock Returns: An Asset-Allocation Perspective”, doi
  24. Pesaran (2000a), “A Decision Theoretic Approach to Forecast Evaluation,” in Statistics and Finance: An Interface, doi
  25. Pesaran (2000b), “Economic and Statistical Measures of Forecast Accuracy,” doi
  26. (1995). Predictability of Stock Returns: doi
  27. Skouris (2002),“Decision-based Methods for Forecast Evaluation”, doi
  28. (2002). Stock Return Predictability and Model Uncertainty”, doi
  29. (2002). Strategic Asset Allocation: Portfolio Choice for Long-Term Investors, Claredon Lectures in Economics, doi
  30. (2003). The Out of Sample Success of Term Structure Models as Exchange Rate Predictors: a step beyond”, doi
  31. (1997). Understanding Spot and Forward Exchange Rate Regressions”, doi
  32. (2003). Why is it so Difficult to Beat a Random Walk Forecast of Exchange Rates?”, doi
  33. (1991). Yield Spreads and Interest Rate Movements: A Birds Eye View”, doi

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