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

Thomson Reuters Extends Entity Risk Solution with Countries of Risks Data

Subscribe to our newsletter

Thomson Reuters has extended its Entity Risk data solution with a Countries of Risks strand that uses an algorithm developed by StarMine, the company’s entity and fundamentals data, and GDP data from the International Monetary Fund to measure the exposure of a firm to multiple countries.

The data service is available immediately as part of Entity Risk, which is delivered through Thomson Reuters’ Datascope delivery platform, and is expected to find favour among buy-side firms, hedge fund administrators and global custodians seeking to better identify and manage portfolio risk and regulatory reporting.

StarMine, a quant trading specialist that was acquired by Thomson Reuters in 2008, has used its experience in developing predictive models for investing to create the Countries of Risks model that incorporates fundamental and economic data on issuers.

Tim Lind, global head of middle office at Thomson Reuters, explains: “When we look at risk and reporting, we see four buckets of exposure – market counterparty or issuer, asset class, industry sector, and country or market. Countries of Risks completes the spectrum of measuring and reporting risk.”

Lind notes that Countries of Risks is a logical addition to entity records and says that while issuer domicile is already described, the solution’s additional data qualifies economic issues such as where the issuer generates revenue, where headquarters is based and the base currency of disclosures. He says: “The buy side usually looks for a single answer to the question of country of risk, but this will change and become more granular. For example, the StarMine algorithm can calculate an issuer’s percentage of exposure to different countries.”

Going forward, Thomson Reuters intends to enhance the Countries of Risks solution with further data that links issuers to countries. Lind suggests supply chain information could be included, detailing not only where an issuer sells products, but also where it sources components for its products, although he warns that data availability could be a challenge.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

A-Team Launches Inaugural AI in Data Management Summit New York City

Artificial intelligence-led applications offer financial institutions the potential to do more with their data at a time when increasingly complex economic and geopolitical influences place extraordinary operational pressures on them. The technology is now being applied to all parts of an organisation, from asset and risk management to customer relationship management and regulatory compliance. A...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...