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This study examines the unintended effects of a pre-Reg FD practice that gave a broad group of sophisticated market participants 15-minute earlier access to all corporate press releases than the general public. We find that roughly one-eighth of the price discovery to earnings announcements issued during regular trading hours was due to privileged access to information in earnings press releases, with the 15-minute priority dissemination contributing to just over 50 percent of price discovery from all privileged access. In addition, we find that transient institutions benefited from priority dissemination, especially when the earnings contained good news. Finally, consistent with economic theory, we find that intraday bid-ask spreads decreased post-Reg FD for firms that had sufficient market liquidity to allow trading opportunities during the 15-minute window. Our study has implications for current discussions on whether preferential information distribution by firms and information intermediaries creates an uneven playing field among investors. Data Availability: The data used in this study are available from the public sources identified in the paper JEL Classifications: D82; G14; K22; M45.

ChatGPT, a language-learning model chatbot, has garnered considerable attention for its ability to respond to users’ questions. Using data from 14 countries and 186 institutions, we compare ChatGPT and student performance for 28,085 questions from accounting assessments and textbook test banks. As of January 2023, ChatGPT provides correct answers for 56.5 percent of questions and partially correct answers for an additional 9.4 percent of questions. When considering point values for questions, students significantly outperform ChatGPT with a 76.7 percent average on assessments compared to 47.5 percent for ChatGPT if no partial credit is awarded and 56.5 percent if partial credit is awarded. Still, ChatGPT performs better than the student average for 15.8 percent of assessments when we include partial credit. We provide evidence of how ChatGPT performs on different question types, accounting topics, class levels, open/closed assessments, and test bank questions. We also discuss implications for accounting education and research.

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Regulations implemented by the SEC in 2003 and 2004 simultaneously shortened the financial statement filing deadlines and increased the time required for both the preparation of financial statements and the related audit of accelerated filers (AFs). However, there were indirect, unintended negative consequences for companies not subject to the regulations, namely, non-accelerated filers (NAFs). The new regulations imposed strains on auditor resources requiring auditors to make resource allocation decisions that negatively affected NAFs. We find that NAFs with an auditor who had a high proportion of AF clients (high-AF) had longer audit delays after the regulations were implemented than NAFs of an auditor with a low proportion of AF clients (low-AF). Further, we document that NAFs with high-AF auditors were more likely to change auditors than NAFs with low-AF auditors. Finally, NAFs that switched to auditors with less AFs experienced shorter audit delays after the auditor change.

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