Oil prices and experts’ forecasts of seven exchange rates

Abstract

ABSTRACT Research indicates that survey-based forecasts of exchange rates fail to be rational. In addition, the literature points to oil prices as a key factor in determining/predicting exchange rates. We investigate these two research topics by focusing on Blue Chip multi-month forecasts of seven exchange rates for 1999–2015. Our investigation utilizes the recent forecast evaluation method that allows for the possibility of asymmetric loss. We show that Blue Chip forecasts, while free of systematic bias, cannot beat the random walk benchmark, and, at some forecast horizons, the errors fail to be orthogonal to changes in oil prices. We further show that, for four out of seven exchange rates, the change in oil prices explains the information content difference between the Blue Chip and random walk forecasts. Put together, our findings suggest that the inaccuracy of Blue Chip forecasts may be in part due to an inefficient use of oil price information available at the time of the forecast and, thus, forecasters should pay special attention to oil price movements when forecasting exchange rates.