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

arXiv:2603.13252v1 Announce Type: new Abstract: Crosssectional ranking models are often deployed as if point predictions were sufficient: the model outputs scores and the portfolio follows the induced ordering. Under nonstationarity, rankers can fail during regime shifts.