STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets
arXiv:2610.07006v1 Announce Type: new Abstract: 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…
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- 2026-10-07 04:00 · arXiv cs.LG
STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets