信用评级
债券信用评级
内生性
违约
业务
精算学
信用风险
经济
资信证明
计量经济学
财务
作者
Paul Brockman,Musa Subasi,Jeff Jianfeng Wang,Eliza Xia Zhang
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2024-01-19
卷期号:70 (11): 7851-7867
被引量:3
标识
DOI:10.1287/mnsc.2023.4980
摘要
Do credit rating agencies (CRAs) learn from the options market? We examine this question by exploring the relation between options trading activity and credit rating accuracy. We find that as options trading volume increases, credit ratings become more responsive to expected credit risk and exhibit greater ability to predict future defaults. We also find that CRAs rely more on the options market as a source of ratings-related information when firm default risk is higher, options trading is more informative, manager-provided information is of lower quality, and firm uncertainty is higher. Our results are robust to a number of sensitivity tests, including alternative measures of options trading and credit rating accuracy. We reach similar inferences using various approaches to address endogeneity issues, including difference-in-difference analyses and an instrumental variables approach. Overall, our findings are consistent with the view that CRAs incorporate unique information from the options market into their rating decisions which, in turn, improves credit rating accuracy. This paper was accepted by Brian Bushee, accounting. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.4980 .
科研通智能强力驱动
Strongly Powered by AbleSci AI