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概率论课本重要知识点整理与解读（基于华南理工大学概率论课本与浙江大学概率论课本）
LaTeX Beginner's Guide - Second Edition, published by Packt
Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook
An Obsidian plugin for finding and linking topics in a vault.
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
This repo implements a Fama-MacBeth 2-stage regression to estimate factor risk premia, make inference on the risk premia, and test whether a linear factor model can explain a cross-section of portf…
Classical Fama French Three Factor Model.
The code implements FamaMacbeth regression as in Fama & MacBeth (1973)
Winter 2020 Course description: Econometric and statistical techniques commonly used in quantitative finance. Use of estimation application software in exercises to estimate volatility, correlation…
多因子选股(股票) ,基于Fama三因子构成的多因子策略
Replication and extension of the study by Fama and French (1993) for three-factor asset pricing model (2016)
Applying the Fama Three-factor Model to the Chinese stock market. Verifying the validity of the model. The operation of the data is mainly based on pandas.
Replication of the 5 Fama-French factors as constructed in their 2015 paper.
A package to sort stocks into portfolios and calculate weighted-average returns.
FamaFrench(1992)论文复现;FamaFrench三因子模型；python
Implementation of 5-factor Fama French Model
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
Rewriting the code in "Machine Learning for Factor Investing" in Python
非寿险精算学是为非寿险领域的经营与管理提供数量分析方法，以数学、统计学和保险学为基础的交叉性学科。非寿险精算学的核心内容包括非寿险产品定价和非寿险准备金评估。非寿险产品种类繁多，特征各异，变化较为频繁。非寿险产品的多样性和复杂性使其定价和准备金评估面临更大的不确定性，同时也为非寿险精算师创造了灵活应用各种精算技术的巨大空间。事实上，在非寿险精算中，很难发现所谓的“标准方法”。对于同一个精算问…
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.