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 Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Data Quality Meaning and Importance Transformed by AI: DMS NYC Preview

The data management space has been transformed by artificial intelligence into one that not only seeks to prise maximum value from institutions’ data but also spends almost as much resource ensuring the quality of that information. Without optimised data, the AI and agentic tools to which it is deployed will churn out sub-optimal results. It’s...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

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...