Understand your risk
Request a coverage check of your portfolio & access unique insights and analysis from our exclusive, contributed credit risk dataset.
In addition to “through the cycle” probabilities of default, Credit Benchmark also collects and aggregates Point-in-Time (PIT) PD curves from a growing number of global banks, allowing our clients to access a comprehensive set of consensus term structures at entity-, sector-, industry-, geographical level.
Leveraging the insights provided through the benchmarking outputs, clients are able to identify, justify and articulate the key drivers of variance in expected credit loss and provisions to both internal and external stakeholders.
Better understand key drivers of divergences of ECL to equip Investor Relations team to articulate Impairment comparisons.
Benchmark PIT PDs / Curves against peers to allow for identification of drivers of earnings volatility.
Track changes in Credit Consensus Ratings to bolster staging assessment process, compare internal staging assumptions against the consensus, and enhance view on unrated / LDP portfolios.
Optimize internal processes by identifying risk areas with largest relative / absolute PD movements, monitoring rating changes well before year-end, and improving connectivity and reconciliation between credit ratings, regulatory capital, and impairment.
Utilise benchmarking outputs to assess the impact of economic scenarios and weightings in impairment outcomes.
Entities with Credit Consensus Ratings
Credit Risk Estimates Collected Each Month
Credit Risk Estimates Collected Since Launch in 2015
Industry & Sector Indices
Countries Covered
Major Global Banks Contributing, Almost Half Are GSIBs
Credit Analysts Contributing Risk Views
Of Universe Unrated by Traditional Rating Agencies
Of Corporate Universe Are Private Companies
Unparalleled coverage of public and private issuers; filling the gaps left by traditional ratings agencies.
Free from “issuer-pays” conflict and any bank bias.
Driven by the credit views of >40 of the world’s largest regulated banks, almost half of which are GSIBs.
Risk data is processed through a sophisticated purpose-built mapping engine.
The consensus is refreshed twice monthly to provide dynamic indicators of potential credit risk changes.
Assess risk over the lifetime of a transaction.
Ease of internal integration within reporting.
A unique growing global dataset.