In this webinar, hosted by CFA UK Technology & Innovation Community champion Todor Kostov, Sailesh Radha, Founder & CEO of Borealis Global Analytics, introduces a systematic, AI-enabled framework for global equity allocation that combines factor investing with forward-looking macroeconomic analysis. Drawing on academic research and practical applications, the session explores how investors can move beyond backward-looking signals toward causal, forward-looking macro insights.
A key focus will be how large language models (LLMs) and agent-based systems can interpret macroeconomic narratives not just by sentiment, but by their economic impact on countries and markets through approaches such as the Economic Ripple Score. The session will also include a practical demonstration showing how these techniques are applied in practice.
What you’ll learn
- How global equity investing is evolving toward country-level allocation frameworks
- Why traditional macro research and sentiment analysis are becoming less effective and how AI can address these gaps
- How LLMs can extract forward-looking signals from central bank communications and policy documents
- The principles of causal macro analysis and its implications for growth, inflation, and markets
- How metrics such as the Economic Ripple Score quantify macroeconomic impacts on economies and equity markets
- The role of agentic AI systems in simulating decision-making across investment teams
- Key considerations for integrating these approaches into investment processes
Speakers
Host: Todor Kostov
Sailesh Radha, Founder & CEO of Borealis Global Analytics
This webinar is designed for: Portfolio managers and asset allocators, investment analysts and strategists, quantitative and multi-asset professionals, CIO office professionals and research teams, economists, anyone interested in the practical application of AI in macro investing and portfolio construction