Credit Ratings: Strategic Issuer Disclosure and Optimal Screening
dc.contributor.author | Rajan, Uday | |
dc.contributor | Cohn, Jonathan B. | |
dc.contributor | Strobl, Günter | |
dc.date.accessioned | 2013-12-12T17:42:25Z | |
dc.date.available | 2013-12-12T17:42:25Z | |
dc.date.issued | 2016-06 | |
dc.identifier | 1214 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/101908 | |
dc.description.abstract | We study a model in which an issuer can manipulate information obtained by a credit rating agency (CRA) seeking to screen and rate its financial claim. Better CRA screening leads to a lower probability of obtaining a high rating but makes a high rating more valuable. Over an intermediate range of manipulation cost, improving screening quality can lead to more manipulation, dampening the CRA's incentive to screen. We further show that a CRA's own incentives to inflate ratings constrain its optimal screening intensity. Our model suggests that strategic disclosure by issuers may have played a role in recent ratings failures. | en_US |
dc.subject | credit rating | en_US |
dc.subject | screening | en_US |
dc.subject | strategic disclosure | en_US |
dc.subject.classification | Finance | en_US |
dc.title | Credit Ratings: Strategic Issuer Disclosure and Optimal Screening | en_US |
dc.type | Working Paper | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.contributor.affiliationum | Ross School of Business | en_US |
dc.contributor.affiliationother | McCombs School of Business - University of Texas | en_US |
dc.contributor.affiliationother | Frankfurt School of Finance & Management | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/101908/1/1214_Rajan.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/101908/4/1214_Rajan_June2016.pdf | |
dc.description.filedescription | Description of 1214_Rajan_June2016.pdf : June 2016 revision | |
dc.owningcollname | Business, Stephen M. Ross School of - Working Papers Series |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.