In this paper, we use Google Trends data for exchange rate forecasting in the context of a broad literature review that ties the exchange rate movements with macroeconomic fundamentals. The sample covers 11 OECD countries' exchange rates for the period from January 2004 to June 2014. In...

Forecasting exchange rate movements is extremely difficult. While the usual forecast requires determining the size and sign of change, we investigate if the direction of change alone is easier to forecast. The accuracy rate of monthly forecasts based on an economic model is compared with random...

In this paper we study the exchange rate predictability across a range of investment horizons by return decomposition into forward premium component and carry trade risk premium component, for which we propose a term structure model to capture exchange rate dynamics with a broad set of...

In this paper we study the exchange rate predictability across a range of investment horizons by return decomposition into forward premium component and carry trade risk premium component, for which we propose a term structure model to capture exchange rate dynamics with a broad set of...

Forecasting exchange rate movements is challenging, as they exhibit high volatility, complexity and noise. Most traditional models cannot forecast exchange rates, with significantly higher accuracy, than a random walk model. In this study, a non-linear model called artificial neural network...

It is commonly known that various econometric techniques fail to consistently outperform a simple random walk model in forecasting exchange rates. The aim of this study is to analyse whether this also holds for selected currencies of the CEE region as the literature relating to the ability of...

This study evaluates the in-sample and out-of-sample RMB exchange rate forecasting with a predictor of CNH-CNY pricing differential. Despite significant evidence of in-sample fit of conditional models at short horizons, we find that RMB exchange rate forecasts based on CNH-CNY spreads do not...

We propose a nonlinear econometric model that can explain both the observed volatility and the persistence of real and nominal exchange rates. The model implies that near equilibrium, the nominal exchange rate will be well approximated by a random walk process. Large departures from...

Exchange rate forecasting is hard and the seminal result of Meese and Rogoff (1983) that the exchange rate is well approximated by a driftless random walk, at least for prediction purposes, has never really been overturned despite much effort at constructing other forecasting models. However, in...

We provide a systematic comparison of the out-of-sample forecasts based on multivariate macroeconomic models and forecast combinations for the euro against the US dollar, the British pound, the Swiss franc and the Japanese yen. We use profit maximization measures based on directional accuracy...