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

Third Party Consensus Data is Not Dead But it’s Dwindling, Says Citi’s Booth

Subscribe to our newsletter

The buy side is busy creating its own resources for consensus data and this has meant that third party provision of this data is slowly declining in importance, said Paul Booth, co-head of the global data services team at Citi Investment Research. The decision to source this information directly is being taken by many of the larger firms because they have the scale to make the investment.

There are many issues with third party sources of this data, including time lags, inconsistency and important metrics being overlooked, he told delegates to FIMA 2008. “The problems inherent in third party consensus data also include an inconsistent approach in how the numbers are calculated,” he added. International Financial Reporting Standards (IFRS) are also not helping matters, and often ultimately results in more of a time lag between the reports being produced and vendor updates, as vendors check that the data is correct.

“There is no incentive for the broking community to get involved in making sure third party data sources are correct due to the lack of an ownership concept,” said Booth. The commoditisation of content means that the data is being diluted from these sources, he added.

In order to tackle some of these problems, there needs to be deeper engagement of the broker community with the vendors, he suggested.

“Third party consensus data will not die out but it will become less relevant over time,” Booth concluded.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

FpML to DRR: TradeHeader’s Journey to the Heart of Regulatory Data Standards

Digital Regulatory Reporting (DRR) has gained momentum as the industry looks to replace fragmented, firm-specific interpretations of reporting rules with a shared, machine-executable model that consistently links regulatory requirements to the data used to fulfil them. Rather than relying on templates, local mappings and bespoke logic embedded deep within legacy systems, DRR provides a common...

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

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...