While academics have extensively studied quantitative models of credit risk, far less is known about credit analysts' "behind-the-scenes" adjustments to the ratings generated by their models. Using both dictionary-based and topic modeling approaches, we examine whether and how credit analysts...

We examine how the market power of credit rating agencies (CRAs) affects their rating standards. Using a global sample across 26 countries from 1994 to 2019, we find that greater market power of global CRAs, measured by their country-level market shares, is associated with stricter corporate...

This study examines the effects of mandatory IFRS adoption on accounting-based prediction models for CDS spreads for a sample of 357 firms in 16 IFRS-adopting countries. We do this by estimating accounting-based prediction models for CDS spreads separately for financial and non-financial firms...

I study the use of credit ratings in debt contracts. When debt contracts use credit ratings rather than accounting ratios to enforce restrictions on borrowers, there is likely to be increased pressure on rating agencies to cater to borrower incentives. I investigate whether the explicit use of...

Cheng and Li (2013) investigate whether income smoothing improves earnings informativeness for Chinese firms by replicating the research design of Tucker and Zarowin (2006). The results suggest that the relation still holds for a more recent sample of US firms but the relation is different for...

We examine whether rating agencies act defensively toward issuers with a higher likelihood of default. We find that agencies’ qualitative soft rating adjustments are more accurate as issuers’ default risk grows, as evidenced by the adjustments leading to lower type I and type II error rates...