We use BERT, an AI-based algorithm for language understanding, to decipher regulatory climate-risk disclosures and measure their impact on the credit default swap (CDS) market. Risk disclosures can either increase or decrease credit spreads, depending on whether disclosure reveals new risks or...

This study examines the relation between narrative risk disclosures in mandatory reports and the pricing of credit risk. In particular, we investigate whether and how the SEC mandate of risk factor disclosures (RFDs) affects credit default swap (CDS) spreads. Based on the theory of Duffie and...

We examine the effect of voluntary climate risk disclosure on Credit Default Swap (CDS) premiums. We develop a structural credit risk model, in which climate-related disclosures serve as an information source reducing uncertainty about climate risks. The model predicts a negative relation...