Drivers of Economic and Financial Integration: A Machine Learning Approach

We propose a new approach to identify drivers of global market integration using an advanced machine learning technique. We differentiate across economic and financial integration as well as across emerging and developed countries. Our approach allows for nonlinear relationships, corrects for over-fitting, and is less prone to noise. Moreover, it is able to tackle a large number of highly correlated explanatory variables and controls for …