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

A-Team Insight Blogs

Divisions Between Market and Reference Data Causing Issues for Transparency, Says GoldenSource

Subscribe to our newsletter

A major hurdle to achieving a consistent view of pricing, positions and exposure lays in the divide between market data feeds and reference data repositories, according to GoldenSource, a provider of enterprise data management (EDM) solutions.

“By definition, enterprise risk management and reporting should go front to back as well as across assets,” says Gert Raeves, vice president of strategic business development at GoldenSource. “A trusted data environment for interdependent front and back office processes now relies on the centralisation of market and reference data. With market data, there is a convergence point where a snapshot of the market can be captured and validated for downstream applications.”

Pricing mechanisms in the front office and valuations for P&L in the back office often depend on the same price and rate data, yet both areas derive this information from disparate sources. According to research from consultancy A-Team Group, 87% of risk managers are interested in centralising market and reference data. This is to address issues including volatility, accuracy, consistency and the elimination of asset-based silos.

Unprecedented market movements are impacting portfolios, customers, counterparties and issuers faster than ever, meaning back office risk and P&L systems can no longer wait until end of day to access critical market data. Regulators are expecting much of the same data used in the trading decision process to be extended to valuation, P&L and risk management, thus bringing the same issues around accuracy and consistency to both data areas.

Regulatory and client demands for insight into how a value was derived means that golden copy pricing needs to extend beyond static reference sets and include multiple market data sources, says the vendor. Furthermore, siloed desks have traditionally been blamed for the inability to get a complete view of risk and exposure; these silos are now being broken down, yet the divide between market and reference data persists.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Inaugural AI in Data Management Summit NYC Sets New Benchmark in AI Discussion

A-Team Group’s inaugural AI in Data Management Summit NYC set a new benchmark in the global discussion around artificial intelligence. Leading figures from the worlds of finance and technology gathered in New York to share best practice guidance and observation, real-world case studies and forecasts for the exciting – and challenging – year ahead. The...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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

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...