In this paper we investigate how the experience of stock market shocks, like the COVID-19 crash, influences risk taking behavior. To isolate changes in risk taking from a variety of other confounding factors during stock market crashes, we ran controlled experiments with finance professionals in...

We investigate how the experience of extreme events, such as the COVID-19 market crash, influence risk-taking behavior. To isolate changes in risk taking from other factors, we ran controlled experiments with finance professionals in December 2019 and March 2020. We observe that their...

When the information of many individuals is pooled, the resulting aggregate often is a good predictor of unknown quantities or facts (“wisdom of crowds”). This aggregate predictor frequently outperforms the forecasts of experts or even the best individual forecast included in the aggregation...

Rankings are prevalent information and incentive tools in labor markets with strong competition for talent. In a dynamic model of multi-tasking and an accompanying experiment with financial professionals, we identify hidden ranking costs when performance in one task is incentivized and ranked...

Rankings are prevalent information and incentive tools in labor markets with strong competition for talent. In a dynamic model of multi-tasking and an accompanying experiment with financial professionals, we identify hidden ranking costs when performance in one task is incentivized and ranked...