eyeke04 / cfa-i

This project is composed of comprehensive notes of CFA I. In the Jupyter Notebook files, different datasets are introduced for applying Python in financial analysis. Written notes and datasets are excerptions from the CFA Institute, SaltSolutions and other web sources.

CFA_I

This is a project for preparing for CFA I. The goal of this project is to apply Python in carrying out financial analysis techniques.

Install

pip install pandas numpy matplotlib seaborn statsmodels scikit-learn beautifulsoup4

Dataset

The dataset in this project are from multiple sources, for simple examples, the data is normally excerpted from CFA readings, for others, data is obtained via web scrapping or online resources.

Table of Contents

• Quantitative Methods
• Economics
• Financial Reporting and Analysis
• Corporate Finance
• Equity Investments
• Fixed Income
• Derivatives
• Alternative Investments
• Portfolio Management
• Ethical and Professional Standards