Research — March 31, 2026
Managing Event Risk from the war in the Middle East
We would also like to acknowledge the collaboration and support of: Elizabeth Anderson, Elizabeth Muldoon, James Elder, Andy Armstrong, Crissy Syre, Luke Thompson and Susan Minio.
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Executive Summary
When major events unfold, such as the war in the Middle East, the information environment quickly becomes noisy. In this environment, risk managers, investors, and lenders must make decisions under pressure. This case study proposes a seven-step risk framework, with automation, to managing risks and shows how practitioners can translate evolving macro, geopolitical and sector specific developments to actionable credit risks and capital markets insights.
This case study is aimed at credit risk managers, portfolio managers, and capital market practitioners seeking a repeatable, AI-enhanced process for managing event-driven risks.
Note that, whilst Artificial Intelligence is used to automate data processing and visualizations of this case study, human-in-the-loop is essential to preserve the integrity of each step. Generative AI technology may produce inaccurate responses.
