Package to build risk model for factor pricing model
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Updated
Jul 26, 2024 - Python
Package to build risk model for factor pricing model
Data Science Project: Replication of "Forest Through the Trees: Building Cross-Sections of Stock Returns" - creation of assets to test validity of factor models with Python
This repository shows the application of PCA technique for risk factor modelling of financial securities.
Repository for the AugmentedPCA Python package.
Package to build universes for factor pricing model
This is a tentative pytorch implementation of the paper "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders"
Replication code for "The Shape of Beta: Industry Factor Structure and Crisis Risk Premium" (Woo & Kim, 2026)
此為機器學習與財務計量專案的環節之一
Academically rigorous implementation of the Fama-French (1993) three-factor model using WRDS (CRSP + Compustat) data.
A fully reproducible 50‑signal systematic equity strategy with clean TRAIN → VALIDATION → LOCKED → HOLDOUT methodology. Built for the Quanta Fellowship.
Core portfolio risk analysis engine - business logic and documentation
Academically rigorous implementation of the Fama-French (2015) five-factor model using WRDS (CRSP + Compustat) data.
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