Forecast Collapse in Time-Series Foundation Models

Time-series foundation models exhibit forecast collapse when predicting low-predictability targets like hourly US equity returns, resulting in nearly flat predictions and poor cross-sectional correlation. This phenomenon stems from a calibration-ranking tradeoff where per-series objectives fail to identify cross-series structures.