This project focuses on analyzing portfolio returns using Fama-French factors, comparing two distinct investment strategies.
-
Updated
Feb 2, 2024 - Jupyter Notebook
#
portfolio-returns
Here are 5 public repositories matching this topic...
This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.
correlation
risk-analysis
pandas
statistical-analysis
data-cleaning
daily-returns
sharpe-ratios
portfolio-returns
algorithmic-portfolios
quantative-analysis
-
Updated
Mar 27, 2021 - Jupyter Notebook
This repository is for me to practice with Pandas to use them in a financial environment.
-
Updated
Mar 27, 2021 - Jupyter Notebook
I created a tool (an analysis notebook) that analyzes and visualizes the major metrics of the portfolios across all of these areas, and determine which portfolio outperformed the others. You will be given the historical daily returns of several portfolios: some from the firm's algorithmic portfolios, some that represent the portfolios of famous …
-
Updated
Nov 10, 2020 - Jupyter Notebook
Quantitative analysis techniques with Python and Pandas to evaluate portfolio performance.
-
Updated
May 24, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the portfolio-returns topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the portfolio-returns topic, visit your repo's landing page and select "manage topics."