The potential for portfolio diversification is driven broadly by two characteristics: the degree to which systematic risk factors are correlated with each other and the degree of dependence individual firms have to the different types of risk factors. Using a global vector autoregressive...

This paper examines the macro-spanning hypothesis for bond returns in international markets. Based on a large panel of real-time macro variables that are not subject to revisions, wefind that global macro factors have predictive power for bond returns unspanned by yield factors.Furthermore, we...

We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...