This article provides an overview of the methods used for algorithmic text analysis in
economics, with a focus on three key contributions. First, we introduce methods for …

Technologies have spawned finance innovations since the early days of computer
applications in businesses, most recently reaching the stage of disruptive innovations, such …

The debate over how firm stakeholder engagement is tied to preserving shareholder wealth
has received growing attention in recent years, especially in the wake of the COVID-19 …

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 …

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

After fitting a topic model to 40,927 COVID-19–related paragraphs in 3,581 earnings calls
over the period Jan. 22–Apr. 30, 2020, we obtain firm-level measures of exposure and …

Growing AI readership (proxied for by machine downloads and ownership by AI-equipped
investors) motivates firms to prepare filings friendlier to machine processing and to mitigate …

Big data is revolutionizing the finance industry and has the potential to significantly shape
future research in finance. This special issue contains papers following the 2019 NBER-RFS …

Using a novel database of firm patents and board characteristics across 45 countries, we
examine both within-and cross-country determinants of board gender diversity and its …

Ninety-two percent of the 1348 North American executives we survey believe that improving
corporate culture would increase firm value. A striking 84% believe their company needs to …