Machine learning methods in asset pricing are often criticized for their black box nature. We study this issue by predicting corporate bond returns using interpretable machine learning on a high-dimensional bond characteristics dataset. We achieve state-of-the-art performance while maintaining...

We study the distributional effects of asset returns using a heterogeneous-agent model estimated to match the joint distribution of wealth and returns. In the model, endogenous portfolio decisions play a key role through their impact on households' wealth accumulation. We find substantial...

We develop a dynamic portfolio-choice model with illiquid alternative assets to analyze conditions under which the "Endowment Model," used by some large institutional investors such as university endowments, does or does not work. The alternative asset has a lock-up, but can be voluntarily...

The present study examines the importance of Schumpeterian profits in the United States economy. Schumpeterian profits are defined as those profits that arise when firms are able to appropriate the returns from innovative activity. We first show the underlying equations for Schumpeterian...

From 1973 to 2014, the common stock of U.S. banks with loan growth in the top quartile of banks over a three-year period significantly underperforms the common stock of banks with loan growth in the bottom quartile over the next three years. The benchmark-adjusted cumulative difference in...

We develop a stylized model of economic growth with bubbles. In this model, financial frictions lead to equilibrium dispersion in the rates of return to investment. During bubbly episodes, unproductive investors demand bubbles while productive investors supply them. Because of this, bubbly...

Based on a survey that we designed and that covers a stratified random sample of 12,400 firms in 120 cities in China with firm-level accounting information for 2002-2004, this paper examines the presence of systematic distortions in capital allocation that result in uneven marginal returns to...

We develop a classification methodology for the context and content of news articles to predict risk and return in stock markets in 51 developed and emerging economies. A parsimonious summary of news, including topic-specific sentiment, frequency, and unusualness (entropy) of word flow, predicts...

This paper answers fundamental questions that have preoccupied modern economic thought since the 18th century. What is the aggregate real rate of return in the economy? Is it higher than the growth rate of the economy and, if so, by how much? Is there a tendency for returns to fall in the...

Several field experiments find positive returns to grants for male and not female micro-entrepreneurs. But, these analyses largely overlook that male and female micro-entrepreneurs often belong to the same household. Using data from randomized trials in India, Sri Lanka and Ghana, we show that...