We use machine learning methods to create a comprehensive measure of credit risk based on qualitative information disclosed in conference calls and in management's discussion and analysis section of the 10- K. In out-of-sample tests, we find that our measure improves our ability to predict...

We study how recognition versus disclosure affects the control function of accounting through the use of debt covenants. While research shows that recognition affects the value-relevance of reported amounts, the effect on contracting is unclear. We examine whether covenants changed around SFAS...