We use a machine learning technique to assess whether the thematic content of financial statement disclosures (labeled topic) is incrementally informative in predicting intentional misreporting. Using a Bayesian topic modeling algorithm, we determine and empirically quantify the topic content of...

Mobile internet devices reduce trading frictions and information search costs for investors, but also introduce attention-competing activities,such as social networking. We use exogenous nationwide and city-level outages of the Blackberry Internet Service (BIS) to investigate the effect of...

Firms are increasingly disseminating images on social media that display customized earnings measures (“non-GAAP images”). This practice falls outside the scope of mandatory disclosure rules on non-GAAP prominence in earnings releases and SEC filings. Using an experiment, we isolate this...

Mobile internet devices reduce trading frictions and information search costs for investors, but also introduce attention-competing activities,such as social networking. We use exogenous nationwide and city-level outages of the Blackberry Internet Service (BIS) to investigate the effect of...

This study examines the influence of investor sentiment on managers' discretionary disclosure of ldquo;pro formardquo; (adjusted) earnings metrics in earnings press releases. We find that managers' propensity to disclose an adjusted earnings metric increases with the level of investor sentiment...