We examine the relation between accounting conservatism and creditor recovery rates for firms in default. We also test the link between conservatism and the length of distress resolution proceedings. We find creditors of firms with more conservative accounting prior to default have significantly...

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...

Prior research acknowledges that the determinants, timeliness, and economic implications of banks' provisions for loan losses (PLL) vary across loan types. However, the lack of machine-readable data on PLL by loan type has precluded researchers from incorporating loan type into the evaluation of...

Lenders can transfer credit risk by purchasing credit default swaps (CDS), but holding swaps can diminish their incentives to monitor borrowers. Contracting theory predicts that lenders demand conservatism, in particular asymmetric timeliness of loss recognition, to effectively monitor...