We construct factors from a cross section of exchange rates and use the idiosyncratic deviations from the factors to forecast. In a stylized data generating process, we show that such forecasts can be effective even if there is essentially no serial correlation in the univariate exchange rate...

The level of the (log of) the exchange rate seems to have strong forecasting power for dollar exchange rates against major currencies post-2000 at medium- to long-run horizons of 12-, 36- and 60-months. We find that this is true using conventional asymptotic statistics correcting for serial...

A Markov-switching model is fit for eighteen exchange rates at quarterly and monthly frequencies. This model fits well in-sample at the quarterly frequency for many exchange rates. By the mean-squared-error or mean-absolute-error criterion. the Markov model does not generate superior forecasts...