This paper uses individual-level data linking stock investments to work performance to examine how changes in stock market wealth affect worker output. Exploiting large return variations over time and across investors, we document a 10% increase in monthly stock investment returns is associated...

In 2021, many firms began considering and implementing vaccine mandates as a means to return workers to in-person work. In response, twelve states enacted laws banning employer COVID-19 vaccine mandates. We study equity market reactions to these bans and find a 0.64 percentage point increase in...

Human beings’ decision-making processes are generally influenced by two typical cognitive biases: representativeness heuristic bias and conservatism bias. Previous studies found that the two cognitive biases cause investors to misreact to past stock earnings. This paper argues that the two...

Modern Algorithmic Trading ("Algo") allows institutional investors and traders to liquidate or establish big security positions in a fully automated or low-touch manner. Most existing academic or industrial Algos focus on how to "slice" a big parent order into smaller child orders over a given...

We revisit the role of time in measuring the price impact of trades using a new empirical method that combines spread decomposition and dynamic duration modeling. Previous studies which have addressed the issue in a vector-autoregressive framework conclude that times when markets are most active...