We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...

The use of futures exchange contracts instead of forwards completes the maturity spectrum of the correlation between the spot yield and the premium. We find that the forward premium puzzle (FFP) depends significantly on the maturity horizon of the futures contract and the choice of sampling...

Campbell, Serfaty-De Medeiros, and Viceira (2010) propose an optimized method to hedge currency risk in portfolios of international equities. In a demanding out-of-sample test, incorporating transaction and rebalancing costs, and margin requirements we find their method reduces risk in real...

The popular scholarly exercise of evaluating exchange rate forecasting models relative to a random walk was stimulated by the well-cited Meese and Rogoff (1983) paper. Practitioners who construct quantitative models for trading exchange rates approach forecasting from a different perspective....

When constructing hedged interest rate arbitrage portfolios for basket currencies, two issues arise: first, how are the unknown future basket weights optimally forecasted from past exchange rate data? And, second, how is risk—in terms of the conditional variance of expected profits from the...

This paper examines the relationship between the composition of exporters' currency pricing portfolio - number and value of product sales in different currencies at a destination - and their success in trade as measured by continuing to their exporting activity. Detailed investigation of...