There are 2 repositories under fama-french topic.
Extract data from a wide range of Internet sources into a pandas DataFrame.
Application and data for analyzing and structuring portfolios for climate investing.
Calculates 103 firm characteristics from CRSP + Compustat directly in Python – no WRDS SAS cloud
一个基于**市场的Fama-French五因子实证研究
Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective factors are used as features in a Machine Learning model and portfolio results are evaluated and compared.
Replication of the 5 Fama-French factors as constructed in their 2015 paper.
Classical Fama French Three Factor Model.
Script to perform the asset pricing test of Gibbons, Ross, and Shanken (1989)
A project to estimate a stock's risk with a linear regression model in Python, using the Fama-French Carhart model and live data from Yahoo Finance.
The repository contains the source code used in "An analysis of investing in U.S. equities with the application of quantitative factor portfolios".
The topic is about using Monte Carlo technique to investigate some linear regression properties of the Fama-French five-factor model.
I analysed financial data from financial markets using developed models
Source code of the article Calculate Required Rate of Return With the Fama-French Three-Factor Model
This project involves forecasting the price direction of public US companies' market index (VTI) using the Fama-French Five-Factor Model. The dataset includes VTI's daily returns and various factors. The project involves data preprocessing, exploratory data analysis, and building forecasting models.
Final Project of Capital Markets
Financial Modeling in Python
Exploring the Relationship between Stock Returns and Social Media Sentiments
Includes Report & Adjustment of weights
This code was written for my Linear Algebra capstone project. I analyze the performance of ARK Invest, an investment firm specializing in actively managed Exchange Traded Funds (ETFs). My analysis is motivated by the broader debate over whether active investors can generate superior returns to passive funds.
Testing Portfolios to assess the accuracy of financial models I have built
Fama French models on S&P 500 dataset
Machine Learning & Python in Finance