STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets

Learning effective representations helps characterize the structure and dynamics of equity markets from financial data with a low signal-to-noise ratio. Black-box deep models can capture complex patterns but may overfit sample noise and lack explicit economic structure.