Stephen V. Brown

University of Connecticut | UConn · Department of Accounting

en Natural language is a key form of business communication. Textual analysis is the application of natural language processing (NLP) to textual data for automated information extraction or measurement. We survey publications in top accounting journals and describe the trend and current state of textual analysis in accounting. We organize available...

en In this study we use the recently mandated risk factor disclosure to examine the spillover effect of the Securities and Exchange Commission (SEC) review of qualitative corporate disclosure. We find that firms not receiving any comment letter (“No‐letter Firms”) modify their subsequent year's disclosures to a larger extent if the SEC has commente...

We examine auditor switching conditional on the compatibility of clients and their auditors using a unique text-based measure of similarity of financial disclosures. We find clustering of clients within an audit firm based on this measure. We find that clients with the lowest similarity scores are significantly more likely (9.4% to 10.6%) to switch...

The Securities and Exchange Commission (SEC) has expressed concern about the informativeness of firms’ Management Discussion and Analysis (MD&A) disclosures. A firm’s MD&A is potentially uninformative if it does not change appreciably from the previous year after significant economic changes at the firm. We introduce a measure for narrative disclos...