一个基于中国市场的Fama-French五因子实证研究
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Updated
Jul 18, 2022 - Python
一个基于中国市场的Fama-French五因子实证研究
Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.
📈 Fama French and ML models on S&P 500 dataset
Academically rigorous implementation of the Fama-French (2015) five-factor model using WRDS (CRSP + Compustat) data.
Python toolkit for estimating global factor loadings, optimizing factor-tilted portfolios, and minimizing tax drag with region-aware factors and account-level location.
Using R for regression in investment (Sungkyunkwan University through Coursera)
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