This paper investigates whether and how the initiation of Credit Default Swaps (CDS) trading affects analyst optimism. First, we document that analyst forecasts become less optimistic after the initiation of CDS trading. Second, we find that the dampening effect of CDS on analyst optimism is...

This study examines whether the quality of borrowers' accounting information affects the accuracy and timeliness of credit ratings issued by rating agencies. I consider two possible effects. The news effect posits that higher quality accounting provides better information to credit rating...

This study finds that better reporting quality is associated with less uncertainty about credit risk as captured by disagreement among the credit rating agencies. The results also show that reporting quality is more important in reducing uncertainty when debt market participants have less access...

This paper models how to calculate credit spreads on high-yield bond issues if the corporation has no underlying traded stocks. The model is developed from existing literature and from an intuitive idea and will not use outdated financial ratios and variables. We find that the use of outdated...

This paper examines whether the tone of corporate textual disclosures related to risk and uncertainty conveys relevant information to the credit default swap (CDS) market. Prior studies largely focus on the amount of risk disclosures and provide inconclusive evidence on the usefulness of risk...

We investigate whether credit rating agencies (CRAs) and investors price the extent to which municipal bond ratings are explainable using public information. We use an ordinal logistic regression to estimate the expected and unexpected portions of bond ratings, and find that both CRA fees and...

We examine credit market responses to the linguistic tone of disclosures made in 10-Q/K fillings, controlling for the information content conveyed in the reports. Examining windows around quarterly filings, we find that uncertain tone levels are associated with changes in credit default swap...

This study develops and evaluates a model that generates synthetic credit ratings using accounting and market based information. The model performs very well in explaining agency ratings, suggesting that fitted values for unrated companies are likely to be reasonably precise. In addition, the...

Using a large sample of business groups from more than one hundred countries around the world, we show that group information matters for parent and subsidiary default prediction. Group firms may support each other when in financial distress. Potential group support represents an off-balance...

Motivated by the debate about the introduction of the fair value option for (financial) liabilities (FVOL) and the requirement to recognize and separately disclose in financial statements debt valuation adjustments (DVAs), this study explores what we can learn about a firm’s credit risk from...