Credit Ratings Across Asset Classes: A Long-Term Perspective
Кредитные рейтинги различных классов активов: долгосрочная перспектива
2017-01-30
SCID: 54.1/rray8zem
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asset classescredit rating comparabilitydefault ratesrating migration metricsstructured finance
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Abstract (AI)
Abstract We test whether ratings are comparable across asset classes. We examine default rates by initial rating, accuracy ratios, migration metrics, instantaneous upgrade and downgrade intensities, and rating changes over bonds’ lives in multivariate regressions. These approaches reveal substantial and persistent differences across broad asset classes, as well as across subcategories of structured finance products. Our results are best explained by variation in rating agency incentives and variation in underlying risk profiles. We conclude that regulations requiring ratings to perform comparably across asset classes will prove difficult to enforce. We advocate instead a regulatory framework that better distinguishes risks and incentives across asset classes.
Key Findings
1
A more effective regulatory framework should distinguish differences in risks and incentives across asset classes.
2
Observed cross-asset-class differences are best explained by variation in rating-agency incentives and underlying risk profiles.
3
Ratings exhibit substantial and persistent differences in default rates, accuracy ratios, migration metrics, upgrade and downgrade intensities, and lifetime rating changes across broad asset classes.
4
Regulations requiring ratings to perform comparably across asset classes will be difficult to enforce.
5
Structured finance subcategories also display significant heterogeneity in rating behavior and performance.
Research Object
Credit ratings across broad asset classes and structured finance product subcategories
Research Subject
Cross-asset-class comparability of rating performance, default prediction, rating migrations, upgrade and downgrade intensities, and the influence of rating-agency incentives and underlying risk profiles
Publication Details
Publication Date
2017-01-30
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