Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios
RADAR is introduced, a retrieval-augmented diffusion framework that learns market representations by conditioning on similar historical regimes that achieves state-of-the-art performance on key risk-adjusted metrics while producing economically meaningful signals on asset returns and correlations.