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stochastic-discount-factor

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Cross-sectional Transformer and FFN for stock return prediction and alpha generation. Implements GKX (2020) NN5 replication and MSRR loss (Kelly et al. 2025) for direct portfolio Sharpe optimization. Avg SDF Sharpe 2.05, significant alpha (t=5.34) unexplained by FF5+Momentum.

  • Updated Apr 13, 2026
  • Python

End-to-end Python replication of 'The Value of Information: A Puzzle' (Kadan et. al, 2026). Estimates equilibrium dollar value of private information in US equity markets via discrete quadratic covariation of 1-min NYSE TAQ price changes & signed order flow. Implements CLNV trade signing, Amihud filtering, 2-way FE regressions, & SDF entropy bounds

  • Updated May 17, 2026
  • Jupyter Notebook

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