Forecasting exchange rates: Do banks know better?

Abstract

We first evaluate the performance of major commercial banks in forecasting future spot exchange rates, using the random-walk model as the benchmark. We then investigate the sources of forecast errors, and the forecasting tendencies of banks. Our analysis is based on the forecasts made for the US dollar exchange rates of the British pound (BP), German mark (DM), Swiss franc (SF), and Japanese yen (JY), over 3-, 6-, 9-, and 12-month forecast horizons. Key findings include: first, a majority of banks shows some evidence of outperforming the random-walk model for the three currencies other than the JY. Second, the imperfect correlation between predicted and actual exchange rate changes is the dominant source of prediction errors of banks. Third, the home-country bank generally forecasts the country's currency rate more accurately than the other banks, suggesting a degree of information asymmetry. Fourth, the forecasts of a majority of banks exhibit a bandwagon type effect. That is, most banks are momentum forecasters, tending to extrapolate the recent currency changes. Interestingly, a “contrarian” bank is found to outperform the other banks.