Credit Portfolio Risk: Consensus Data Fills in the Blanks

Investors in credit portfolios make extensive use of credit agency ratings and market-driven risk models. But some segments are faced with less visibility and a lack of public ratings, while credit portfolio management models are only as good as the credit risk data available to them. This paper reviews a data-driven framework for portfolio risk analysis and discusses practical applications of consensus credit risk estimates.





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Credit Benchmark brings together internal credit risk views from over 40 leading global financial institutions. The contributions are anonymized, aggregated, and published in the form of consensus ratings and aggregate analytics to provide an independent, real-world perspective of credit risk. Risk and investment professionals at banks, insurance companies, asset managers and other financial firms use the data for insights into the unrated, monitoring and alerting within their portfolios, benchmarking, assessing and analyzing trends, and fulfilling regulatory requirements and capital.