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 Expects More Comparison Capability From Rebuilt Warehouse

Subscribe to our newsletter

As DTCC prepares to move its Trade Information Warehouse (TIW) for credit derivatives swap management to a distributed ledger technology (DLT) platform, the post-trade clearing and settlement services organization expects the change to enable more comparisons of transaction information, according to Jennifer Peve, executive director, office of fintech strategy at DTCC.

“Comparability is certainly helpful. We’re not creating a new business from scratch,” she says. “There are a number of use cases out there being explored, where the distributed ledger certainly can be a good fit because it’s creating efficiencies like taking away duplicative processes or adding value to the clients. Or it’s creating a single source of truth on the transaction and sharing that across a number of participants. It can be applied even to businesses that don’t have an exact comparison.”

TIW has design principles in common with DLT, in that both centralize the collection of transaction information on a ledger using standardized protocols, for transparency, according to Peve. “The standardized protocols and data models around credit derivatives that came out when we originally developed the TIW lent themselves nicely to putting on a distributed ledger,” she says. “Anything you put on a distributed ledger should be part of your business case so you understand the standardization of the asset.”

DTCC partnered with IBM, Axioni and R3 to build the DLT framework to which TIW will be moved. TIW processes trade lifecycle events for 98% of all credit derivatives transactions worldwide, and supports processing for central counterparties and custodian banks.

On a separate project, DTCC and software company Digital Asset Holdings is beginning the second phase of planning a DLT-based service to clear and settle US Treasury, agency and agency mortgage-backed repo transactions. The work began in March 2016, and the second phase includes creation of a Stakeholder Working Group comprised of market participants to collect feedback on the plans for the service. Based on feedback collected by June, DTCC and Digital Assets will then consider how to develop the service.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

The Year in Data: Agentic AI Points to a Future of Efficiency

Touted as the next frontier of artificial intelligence, agentic AI hogged the data management headlines in 2025. Seemingly ushering the realisation of the no-more-drudge-work predictions that heralded the arrival of general AI years back, agentic AI has certainly become the target of institutional investment and developer innovation in the past 12 months. According to a...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Connecting to Today’s Fast Markets

At the same time, the growth of high frequency and event-driven trading techniques is spurring demand for direct feed services sourced from exchanges and other trading venues, including alternative trading systems and multilateral trading facilities. Handling these high-speed data feeds its presenting market data managers and their infrastructure teams with a challenge: how to manage...