Research shows that the predictive ability of economic fundamentals for exchange rates is time-varying; it may be detected in some periods and disappear in others. This paper uses bootstrap-based methods to uncover the time-specific conditioning information for predicting exchange rates....

Credible Granger-causality analysis appears to require post-sample inference, as it is well-known that in-sample fit can be a poor guide to actual forecasting effectiveness. However, post-sample model testing requires an often-consequential a priori partitioning of the data into an "in-sample"...

This study examines the factors affecting exchange rate fluctuations in Turkey by employing the quarterly data from 2008 to 2020. In this context, linear and nonlinear unit root tests were used to determine the stationarity levels of the variables. Then, symmetric and asymmetric causality...