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

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

Recorded Webinar: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

Scale and Governance Top Drivers of Modern Data Architecture Plans: Webinar Review

Financial institutions are investing in modern technology architectures to bolster the flexibility and scalability of their data management processes as the number of use cases for that information, and the volume of data they ingest, expands. They are also seizing on the latest architectures to strengthen data governance in response to the growing complexity of...

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

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...