We study the role of global financial intermediaries in international lending. We construct a model of the world economy, in which heterogeneous borrowers issue risky securities purchased by financial intermediaries. Aggregate shocks transmit internationally through financial intermediaries' net...

We use micro data from Orbis on firm level balance sheets and income statements to document that accounting returns for privately held businesses are dispersed, persistent, and negatively correlated with firm equity. We also show that firms experience large, fat-tailed, and partly transitory...

A new class of Capital Asset Pricing Models (CAPM) arises from the first principle of real investment for individual firms. Conceptually as "causal"' as the consumption CAPM, yet empirically more tractable, the investment CAPM emerges as a leading asset pricing paradigm. Firms do a good job in...

This paper assesses the current state of knowledge about crisis risk and its implications for risk management. Better data that became available since the Global Financial Crisis (GFC) has improved our understanding of crisis risk. These data have been used to show that some types of crises...

Existing evidence shows convincingly that expected cash flows of non-financial firms can be negatively affected by their total risk, so that non-financial firms can create shareholder wealth by managing their total risk. After reviewing theories that demonstrate links between firm value and...

We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, as well as identify funds with net-of-fees abnormal returns. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance,...

We apply deep learning to daytime satellite imagery to predict changes in income and population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2km and 2.4km (where the average US county has dimension of 55.6km), our model predictions achieve R2 values of 0.85...