Fama French models on S&P 500 dataset
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Updated
May 19, 2024 - Jupyter Notebook
Fama French models on S&P 500 dataset
This GitHub repository hosts assignments covering key financial analysis topics such as OLS regression, time series analysis, ARIMA and VAR models, and CAPM. Ideal for students and professionals seeking practical insights into finance, it offers a concise resource for honing analytical skills in financial modeling and forecasting.
A toolkit for asset pricing research
My personal examples for the SAP Cloud Application Programming Model (https://cap.cloud.sap).
Testing Portfolios to assess the accuracy of financial models I have built
Financial Modeling in Python
Source code of the article Calculate Required Rate of Return With the Fama-French Three-Factor Model
The Capital Asset Pricing Model (CAPM) Financial Analysis project is designed to provide users with a comprehensive tool for evaluating the financial performance of selected stocks.
Here you can find Asset Pricing Models and Portofolio Optimization techniques
robo-advisor is a quantitative analysis script written in Python that generates the least volatile portfolio given a list of stocks, with the goal of a 0% return.
This project showcases a web application that is designed to perform CAPM calculations for different stocks. The application uses Python programming language and its libraries such as Pandas, NumPy, Streamlit and Plotly, to gather stock data from Yahoo Finance and perform calculations to determine expected returns.
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
A web application that is designed to perform calculations based on Capital Asset Pricing Model for different stocks of the S&P 500
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