Using proprietary portfolio data on millions of households, we show that (likely) Republicans increase the equity share and market beta of their portfolios following the 2016 presidential election, while (likely) Democrats rebalance into safe assets. We provide evidence that this behavior is...

There is substantial heterogeneity in the structure of trading relationships in the U.S. overnight interbank lending market: Some banks rely on spot transactions, while most form stable, concentrated borrowing relationships to hedge liquidity needs. As a result, borrowers pay lower prices and...

We design a randomized controlled trial to evaluate the adoption of credit scoring with a bank that uses soft information in small businesses lending. We find that credit scores improve the productivity of credit committees, reduce managerial involvement in the loan approval process, and...

There is substantial heterogeneity in the structure of trading relationships in the U.S. overnight interbank lending market: Some banks rely on spot transactions, while most form stable, concentrated borrowing relationships to hedge liquidity needs. As a result, borrowers pay lower prices and...

Using a proprietary dataset of the portfolio holdings of millions of US households, we document how agents who believe in different models of the world update their beliefs heterogeneously in response to a public signal. We identify households ex ante that hold different models of the world...

We design a randomized controlled trial to evaluate the adoption of credit scoring with a bank that uses soft information in small businesses lending. We find that credit scores improve the productivity of credit committees, reduce managerial involvement in the loan approval process, and...

Tracking the movement of top managers across firms, we document the importance of manager-specific fixed effects in explaining heterogeneity in firm exposures to systematic risk. These differences in systematic risk are partially explained by managers' corporate strategies, such as their...

Many firms want to target their customers with a sequence of marketing actions, rather than just a single action. We interpret sequential targeting problems as a Markov Decision Process (MDP), which can be solved using a range of Reinforcement Learning (RL) algorithms. MDPs require the...