About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Markit Adds Sensitvities Data to CDS Pricing

Subscribe to our newsletter

Markit, a leading, global financial information services company, today announced it is supplementing its end-of-day prices for credit default swaps (CDS) with a new sensitivities report that will give clients valuable information about the relationship between a CDS price and other market variables.

The new Markit CDS Sensitivities service gives clients the ability to understand how sensitive a particular CDS spread level is to changes in interest rates, credit quality and recovery assumptions, among other factors affecting CDS pricing. The report is comprised of seven variables and covers all 2,600 five-year, single name CDS and CDS indices (on- and off-the-run) priced by Markit.

Independent, objective data from Markit CDS Sensitivities on how a CDS could respond to changing market conditions are important not only to traders, but to risk managers and the management of investment firms which need tools to run sensitivity analysis on their portfolios and comply with IFRS 7 and other regulations that require management to disclose how the firm perceives, measures and manages financial risk.

Armins Rusis, Managing Director and Global Head of Data, Indices and Research at Markit, said: “CDS Sensitivities is another example of how Markit is expanding its core data sets to include derived data that provide more context for clients. Having independent data to enable analysis of the relationship between price and variables like interest rates and credit quality is very valuable in giving additional metrics for quantitative and qualitative assessment of the potential volatility of a portfolio.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

GoldenSource Scout Launched to ‘Close Data Trust Gap’ Using AI

Data management provider GoldenSource has entered the next phase of its evolution with the launch of GoldenSource Scout, an AI platform for capital markets built on the firm’s Trusted Contextual Data Layer, which grounds enterprise AI in governed, canonical data. The launch marks a significant shift towards AI within the firm’s data management ecosystem. Swati...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...