Bloomberg Launches Company-Level Geopolitical Risk Scores Quantifying Country Risk, Built with Seerist Threat Intelligence
Covering 7 million companies and 245 countries, this offering connects investors with the geopolitical risk intelligence used by government and commercial entities
New York, NY – June, 2025 – Bloomberg today launched geopolitical country-of-risk scores for 7 million companies built with Seerist's leading geopolitical risk and security intelligence. Available on the Bloomberg Terminal and via Data License for enterprise-wide use, these scores enable risk managers, portfolio managers and traders to quickly identify 29 political, operational, security, cyber or maritime country-level threats impacting their portfolios.
Historically, geopolitical risk data was unavailable or outdated, requiring investors to manually analyze news and social media for threats in the countries of their portfolio companies, or make investment decisions with an incomplete picture of their exposure. Bloomberg's collaboration with Seerist makes it possible for investors and risk managers to better quantify emerging and quickly changing global threats with data trusted by over 50 government agencies and leading corporate securities teams at more than 500 companies who rely on these insights to guard employees' safety and set strategic growth plans in new regions.
How it works:
Seerist provides a daily Country Stability Score (PulseAI) and Risk Ratings across 29 categories monitoring changes within a country's political and security environment. This intelligence is built from Seerist's proprietary stability monitoring algorithms and risk ratings generated by over 200 political, security and cyber risk analysts from Seerist's Strategic Partner, Control Risks, measuring the business impact of key risks.
Bloomberg integrated Seerist's analytics with its best-in-class reference data and linked the resulting data set to every relevant company in Bloomberg's database—automatically mapping geopolitical risk factors to companies' countries of risk and cascading those scores down to their bonds and equities. Investors can now quickly assess both public and private companies based on their country of risk and take their analysis further by layering in supply chain and physical asset data, as well as sector data to determine which political risks are the most relevant.
'Geopolitical risks unfold like a complex game of chess – everything can change with a single move, requiring investors to rapidly reassess and adapt to what's happening on the board,' said Zane Van Dusen, Global Head of Risk & Investment Analytics Products at Bloomberg. 'From political and operational disruptions to security and cybersecurity threats, our collaboration with Seerist enables investors to quickly quantify the business impact of fast-moving risks and integrate that intelligence into their workflows.'
'Seerist brings clarity, speed and actionable threat intelligence to investment decisions through AI analytics and expert human insights,' said Tim Roots, Chief Product Officer at Seerist. 'Through our work with Bloomberg, we are applying a company-specific lens to our geopolitical data at a significant scale, equipping investors with geopolitical risk metrics and threat forecasts that intelligence professionals and government agencies trust and rely on to protect their people, operations and assets.'
Customers can access Bloomberg's geopolitical risk scores on the Bloomberg Terminal at {WSL COUNTRYRISK } or via Data License at data.bloomberg.com and have it delivered via SFTP, REST API or into a cloud environment.
Bloomberg's Risk & Investment Data Analytics Suite:
Geopolitical risk data is the newest addition to Bloomberg's Risk & Investment Data Analytics Suite underscoring Bloomberg's ongoing commitment to provide customers with rich analytics and insights to manage complex emerging risks. Bloomberg's Risk & Investment Data Analytics Suite is comprised of Liquidity Assessment (LQA) for liquidity risk, Market-Implied Probability of Default (MIPD) for credit risk, Digital Asset Exposure Analytics for cryptocurrency exposure and Fund Analytics for granular fund-level risk metrics.
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