This paper argues that Blomberg and Hess's (Journal of International Economics 1997) finding that political variables can be used to predict exchange rate movements better than the random walk model must be seen in the context of the decade and half of previous research which failed to beat this...

The purpose of this paper is to contribute to the debate on the relevance of non-linear predictors of high-frequency data in foreign exchange markets. To that end, we apply nearest-neighbour (NN) predictors, inspired by the literature on forecasting in non-linear dynamical systems, to...

We investigate whether unemployment fluctuations generate predictability in the cross-section of currency excess returns. We find that currencies with lower growth in the unemployment rate appreciate while currencies with higher growth in the unemployment rate depreciate. As a result, an...

We document a drift in exchange rates before monetary policy changes across major economies. Currencies tend to depreciate by 0.7 percent over ten days before policy rate cuts and appreciate by 0.5 percent before policy rate increases. We show that available fixed income instruments allow to...

This paper uses information contained in the cross-country yield curves to test the asset-pricing approach to exchange rate determination, which models the nominal exchange rate as the discounted present value of its expected future fundamentals. Since the term structure of interest rates...

In this study, we test a set of country macro sentiment indexes that measure the trailing sentiment on both scheduled and unscheduled economic and geopolitical news events. We develop a cross-over strategy in the FX market based on short to long-term news sentiment inflection points covering the...

This paper presents evidence that the foreign exchange appreciation is predictable by the currency variance risk premium at a medium 6-month horizon and by the stock variance risk premium at a short 1-month horizon. Although currency variance risk premiums are highly correlated with each other...

This paper considers how an investor in the foreign exchange market can exploit predictive information by means of flexible Bayesian inference. Using a variety of different vector autoregressive models, the investor is able, each period, to revise past predictive mistakes and learn about...