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Central Counterparty Clearing Houses (CCPs)

Credit Consensus Data for CCPs

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Why Credit Benchmark?

Better manage your clearing member network risk exposure

High standards of risk management are integral to the smooth functioning of a CCP.

A lack of reliable credit intelligence on CCP member and member client credit risk at the exact legal entity level can make challenging internal models difficult.

Credit consensus data helps to fill in these gaps on CCP member and member client risk.
Screenshot of Credit Benchmark's webapp on desktop, tablet and mobile devices. The image displays pages with information about aggregates, companies' credit scores and settings. On the desktop view, the page shows a graph with credit score distribution. On the tablet and mobile views, the page shows a list of companies with their corresponding credit scores. The background of the webapp is white with blue and gray accents.

Solutions

How we can help your business

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Case Study

  The Client
A leading global derivatives clearing house.

 The Challenge
The credit analyst team was spending days inefficiently analysing unrated companies to determine their membership eligibility or when refreshing the house view of existing members. On top of this, the client was concerned about being indirectly exposed to significant second order risk through members’ weaker end clients, and didn’t have the internal resources to assess the credit risk of the 2,000+ entities that made up this second order risk.

 The Solution
The client was able to save time by beginning their analysis of potential new members by checking the entity’s Credit Consensus Rating, making the membership process quicker and easier. The breadth of the consensus dataset, including publicly unrated buy-side names, also allowed the client to better monitor the credit of their members’ clients, and monitor key markets with Credit Benchmark industry, sector, and geography indices.

In Numbers

The Benefits of Consensus Credit Data

Rating the unrated

Unparalleled coverage of public and private issuers; filling the gaps left by traditional ratings agencies.

Independent

Free from “issuer-pays” conflict and any bank bias.

Real-world exposure

Driven by the credit views of >40 of the world’s largest regulated banks, almost half of which are GSIBs.

Identify that entity

Risk data is processed through a sophisticated purpose-built mapping engine.

Dynamic

The consensus is refreshed twice monthly to provide dynamic indicators of potential credit risk changes.

Alerting and monitoring

Assess risk over the lifetime of a transaction.

Secure reporting

Ease of internal integration within reporting.

Expanding footprint

A unique growing global dataset.

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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.


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