A Strict Liability Regime for Rating Agencies
SSRN Electronic Journal
2014
- 2Citations
- 4,355Usage
- 3Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper argues that a mitigated strict liability regime can incentivize Credit Rating Agencies (CRAs) to produce ratings as accurate as the available forecasting technology allows. A damage cap based on objective factors is introduced in order to avoid crushing liability. Moreover, CRAs are allowed to choose how much to commit to their predictions. CRAs may opt out of liability even entirely, unless their ratings are relevant for regulation. Finally, corrections in the relevant timeframe for the imposition of liability are introduced in order to protect CRAs from systemic risk.
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