An AI analyst trained to digest corporate disclosures, industry trends, and macroeconomic
indicators surpasses most analysts in stock return predictions. Nevertheless, humans win …

We create a firm-level ChatGPT investment score, based on conference calls, that measures
managers' anticipated changes in capital expenditures. We validate the score with …

The outbreak of the COVID-19 pandemic caused some of the largest–and fastest–market
dislocations in modern history. During the outbreak, liquidity quickly evaporated in a …

Using a randomized experiment in auto lending, we find that algorithmic underwriting
outperforms the human underwriting process, resulting in 10.2% higher loan profits and …

We run a field experiment to study the relative performance of human curation and
automated personalized recommendation technology in the context of online news. We …

We present results from an experiment where participants have access to automated trading
algorithms, which they may deploy at will while still trading manually. Treatments differ in …

This paper shows that the COVID-19 pandemic is associated with a decrease in liquidity and
increases in price efficiency and informed trading before the NYSE closed its trading floor …

Purpose The study aims to investigate the risk transmission from COVID-19 to global
agriculture, energy, natural resources/mining and environmentally/socially responsible …

In this study, I investigate the impact of active option trading on stock market liquidity during
the COVID-19 lockdown, particularly in connection with the rapidly growing retail trading …

We investigate information substitutability in the financial market using a quasi-natural
experiment: the pandemic-triggered lockdown that has restricted people's physical …