Credit ratings: strategic issuer disclosure and optimal screening

Abstract We consider a model in which a security issuer can manipulate information observed by a credit rating agency (CRA). We show that stricter screening by the CRA can sometimes lead to increased manipulation by the issuer. Accounting for the issuer’s behavior pulls optimal CRA screening toward the extremes of laxness or stringency. Surprisingly, an improvement in prior asset quality can result in more rating errors. In a two-period version of the model, stricter screening can result in more short-run rating errors. Our results suggest complex interplay between issuer and CRA behavior, complicating the evaluation of CRA policy effectiveness.

Authors

Institutions

Publication Details

Journal
European Finance Review
Published
2024-09-17
DOI
https://doi.org/10.1093/rof/rfae035
Citations
3
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
1.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Credit ratings: strategic issuer disclosure and optimal screening

Uday Rajan, Günter Strobl, Jonathan Cohn
3 citations
European Finance Review
Credit Risk and Financial Regulations
1.62
article

Credit ratings: strategic issuer disclosure and optimal screening

Uday Rajan, Günter Strobl, Jonathan Cohn
article en
3 citations

Abstract

Abstract We consider a model in which a security issuer can manipulate information observed by a credit rating agency (CRA). We show that stricter screening by the CRA can sometimes lead to increased manipulation by the issuer. Accounting for the issuer’s behavior pulls optimal CRA screening toward the extremes of laxness or stringency. Surprisingly, an improvement in prior asset quality can result in more rating errors. In a two-period version of the model, stricter screening can result in more short-run rating errors. Our results suggest complex interplay between issuer and CRA behavior, complicating the evaluation of CRA policy effectiveness.

European Finance ReviewVol. 29(1)
Vienna University of Economics and Business (AT), University of Vienna (AT), University of Michigan (US), Ross School (US), The University of Texas at Austin (US)
Openalex Percentile: Top 15%
Credit Risk and Financial Regulations
1.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Credit ratings: strategic issuer disclosure and optimal screening — Uday Rajan, Günter Strobl, et al. · European Finance Review (2024) | TGRS Research Map | TGRS