This survey provides an up-to-date summary of the literature that relates to the study of business cycle synchronization. Various paths have been followed through time in empirically testing business cycle co-movement and different data sets have been explored so that to date consensus still...

In this paper, we present a novel machine learning based forecasting system of the EUR/USD exchange rate directional changes. Specifically, we feed an overcomplete variable set to a Support Vector Machines (SVM) model and refine it through a Sensitivity Analysis process. The dataset spans from...