Paweł Bednarek

The following are the Python Jupyter Notebooks that I prepared for the course Introduction to Valuation for Financial Engineers that I taught with Professor David C. Shimko. The purpose of these notebooks was to introduce students to Python and get them acquainted with some of the methods of computational analysis.

1. Python Basics

2. Acquiring Data

3. Stock Statistics

4. Portfolio Optimization

5. Asset Price Simulation and Futures

6. Exotic Options I

7. Exotic Options II

Below are the revision guides that I wrote during my undergraduate degree:

• Introduction to Quantitative Economics: Microeconomics, and 

• Mathematical Statistics B: Statistical Inference. 

The purpose of these guides was to consolidate the course's material in a revision-friendly way and provide examples how the theory is used in problem-solving.