Intraday & End-of-Day CDS Prices

Independent, reliable CDS pricing information delivered intraday and end-of-day

With the OTC credit markets accounting for a significant proportion of trades, obtaining accurate, independent CDS pricing information to track counterparty, market and operational risk can be a challenge. Yet as regulators, investors and management focus firmly on optimising risk management and transparent reporting, the need for reliable, timely third party data has never been greater.

CMA's independent intraday and end-of-day CDS pricing service delivers high-quality, consensus-based pricing data for CDS Single Name, Indices, Tranches and LCDS, including for distressed names that trade upfront. Multiple price types, including upfront prices, are also available for a range of currencies, seniorities and restructuring clauses. You can access full credit term structures, even for illiquid assets, calculated using our proprietary aggregation and derivation model that combines quotes observed real-time in the market with sophisticated curve modeling processes.

We provide transparency around how the data is collected, so you are able to determine the level of confidence you place on the prices. Plus, it incorporates standard market identifiers, facilitating mapping to your internal data sets and other externally-sourced data.

The most credible and reliable CDS data available

We have unique access to over-the-counter communications between the largest and most active credit investors and their counterparties, giving us credible, reliable information on both executable and indicative prices, as they evolve. We also provide unrivalled liquidity metrics, such as quote volumes, that help put market activity into context.

The middle office of hundreds of buy- and sell-side institutions rely on our independent CDS pricing service to:

• challenge and validate pricing supplied by the front office with confidence
• identify risks proactively and track counterparty risk using timely, high-quality data
• stress test their portfolios using a clean series of historical data.