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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.
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