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

A-Team Insight Blogs

Lack of Single Source of Data on Pricing of Credit Derivatives Poses Problem for Clearing House Plan

Subscribe to our newsletter

Following the recent discussions about the launch of a possible central clearing house for credit derivatives later this year, a number of related concerns have been raised in the market. Not least of these is the lack of a single, reliable source for reference pricing data.

Although there are a number of derivatives pricing vendors in the market, the dilemma will be which source to choose as the most reliable and thus institutionalise it, forsaking all others. Moreover, due to the OTC nature of these instruments, it is an illiquid and opaque market at the best of times and there is little to no observable transactional pricing, reliability is difficult to determine.

Obviously a number of contenders are currently vying for the clearing house throne – CME Group, Liffe, Eurex Clearing, DTCC and Markit have all announced plans for this market – and the choice of pricing vendor could depend on who wins this first battle.

However, most of these players are likely to choose the largest pricing provider in the current market, Markit, due to various agreements already in place. Earlier this year Liffe, the international derivatives business of Euronext, and Markit expanded their relationship via a partnership agreement. The agreement enabled Liffe to receive a wider range of consensus dividend forecasts from Markit for use in its indicative options pricing model and Bclear, its trade confirmation, administration and clearing service for wholesale equity derivatives that it plans to extend to the credit derivatives market. CME Group is the only real candidate expected to buck this trend due to its ownership of pricing provider and rival to Markit, Credit Market Analysis (CMA). CMA says it is differentiated from other providers, including Markit, because its end of day pricing service is based on buy side pricing data.

CMA has been using this difference as a key reason why its pricing is more reliable. Its argument is that basing pricing on sell side figures can open it up to the risk of mismarks on credit traders’ books and dealer biases.

It also seems that CMA may be stepping into the reference entity identifier space that is currently dominated by Markit’s Reference Entity Database (RED). According to recent reports, CMA is at the planning stages with a project to launch a similar service to Markit RED in response to buy side complaints about the high cost of access to RED.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Mastering Data Lineage for Risk, Compliance, and AI Governance

Financial institutions are under increasing pressure to ensure data transparency, regulatory compliance, and AI governance. Yet many struggle with fragmented data landscapes, poor lineage tracking and compliance gaps. This webinar will explore how enterprise-grade data lineage can help capital markets participants ensure regulatory compliance with obligations such as BCBS 239, CCAR, IFRS 9, SEC requirements...

BLOG

AI is Helping to Solve New ESG Data Challenges: ESG Briefing Review

The peculiar demands that ESG data integration places on capital markets participants requires powerful techniques that are increasingly being provided through artificial intelligence, A-Team Group’s recent ESG Data and Tech Briefing London heard. From data quality monitoring and analytics to supply chain analysis and investment management, AI-based tools are already offering automated solutions to some...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...