When Alpha Breaks: Two-Level Uncertainty for Safe Deployment of Cross-Sectional Stock Rankers

Researchers developed a two-level uncertainty framework for AI stock ranking models that struggled during 2024's AI thematic rally and sector rotation. The approach uses regime-trust gates to decide when to trade and epistemic uncertainty caps to manage tail risk, improving risk-adjusted performance.