Socially responsible (SR) institutions tend to focus more on the ESG performance and less on quantitative signals of value. Consistent with this difference in focus, we find that SR institutions react less to quantitative mispricing signals. Our evidence suggests that the increased focus on ESG...

Using 550 million limit orders submitted in the Korea Stock Exchange, we estimate demand and supply elasticities of heterogeneous investor types and their changes around the Asian financial crisis. We find that domestic individuals have substantially more inelastic demand and supply curves than...

Using a data set on the investments made by a large number of retail investors from 1991 to 1996, we find that households exhibit a strong preference for local investment - the average household invests nearly a third of their portfolio in firms headquartered within 250 miles. We test whether...

We estimate the causal effect of wealth on stock market participation using administrative data on Swedish lottery players. A $150,000 windfall gain increases stock ownership probability among pre-lottery non-participants by 12 percentage points, while pre-lottery stock holders are unaffected....

Retirees confront the difficult problem of how to manage their money in retirement so as to not outlive their funds while continuing to invest in capital markets. We posit a dynamic utility maximizer who makes both asset location and allocation decisions when managing her retirement financial...

We use data on stock portfolios of Norwegian households to show that stock market wealth increases entrepreneurship by relaxing financial constraints. Our research design isolates idiosyncratic variation in household-level stock market returns. An increase in stock market wealth increases the...

"Risk management" in securities markets refers to the oversight of portfolio managers and professional traders when they trade on behalf of investors in security markets. Monitoring of their trading performance, profit and loss, and risk-taking behavior, is measured by principals using security...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...