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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. Meanwhile, classic linear fin
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