This paper employs Swedish data containing security level information on households' stock holdings to investigate how consumption responds to changes in stock market returns. We exploit households' portfolio weights in previous years as an instrument for actual capital gains and dividends...

Using trade-level data, we study whether brokers play a role in spreading order flow information. We focus on large portfolio liquidations, which result in temporary drops in stock prices, and identify the brokers that intermediate these trades. We show that these brokers' best clients tend to...

This paper shows that the network of relationships between brokers and institutional investors shapes the information diffusion in the stock market. We exploit trade-level data to show that central brokers gather information by executing informed trades, which is then leaked to their best...

Using new employer-employee matched data, this paper investigates the impact of uncertainty, as measured by idiosyncratic stock market volatility, on individual outcomes. We find that firms provide at best partial insurance to their workers. An increase in firm-level uncertainty is associated...

We study the personal credit market using unique individual-level data covering fintech and traditional lenders. We show that fintech lenders acquire market share by first lending to higher-risk borrowers and then to safer borrowers, and mainly rely on hard information to make credit decisions....

The reordering of transactions from "high-to-low" is a controversial bank practice thought to maximize fees paid by low-income customers on overdrawn accounts. We exploit multiple class-action lawsuits resulting in mandatory changes to this practice, coupled with payday lending data, to show...