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

DTCC Indicates May Disclose More CDS Data to Counter Market Misconceptions

Subscribe to our newsletter

The Depository Trust and Clearing Corporation (DTCC) has indicated that it may disclose more data around credit default swap (CDS) trades in order to counter misconceptions in the market that the derivatives were the root of the financial crisis. According to market reports, the DTCC has been discussing the move with its owners and participants, although there has, as yet, been no clarification on the data that would be published.

Earlier this month, the DTCC began releasing more information on trades in the CDS market with a view to increasing transparency.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: How to organise, integrate and structure data for successful AI

25 September 2025 11:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are...

BLOG

Bloomberg’s VDR Offers Data Fitting Room to Tackle Information Overload

Data overload is a phrase that’s being more commonly heard as the volume of digital information available to financial institutions swells. More than that, finding the data that best suits their specific needs has become an arduous task, especially given that it can take the best part of a financial quarter to onboard new data...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...