Based on the world’s largest loss database of corporate defaults, we perform a comparative analysis of machine learning (ML) methods in credit risk modeling across the globe. We find that ML methods, especially tree-based methods, substantially outperform both simple and sophisticated...

In an analytically tractable model of the global economy, we calculate the Pareto improvement where a country experiencing a favourable supply side shock consumes more against expected future output and spreads the risk by selling shares. With capital inflows to finance the ‘New Economy’...

We combine the dynamic dividend-discount model with an accounting-based vector autoregression framework that allows for a decomposition of EU banks' stock returns to cash-flow and expected return news components. The main findings are that while the bulk of the variability of EU banks' stock...

Over the past decades, cross-border financial flows have increased in importance and have in many occasions exceeded the underlying current account positions. This phenomenon has been accompanied by an increase in the volume of international equity transactions that accentuate the role of...