Notebook Summaries

These are concise summary versions of the FIN 4506 notebooks.

For full versions, see Notebooks.

Notebook Summary	Description
Introduction to Jupyter Notebooks	Condensed introduction to Python notebook workflow, basic return calculations, plotting, and a first regression.
Optimization in Python	Short overview of numerical optimization tools in Python for finance use cases.
A Market Index for Cryptocurrencies	Summary of crypto index construction, beta estimation, and comparison with SPY.
Minimum Variance Portfolio	Key steps for minimum-variance portfolio construction and interpretation.
Analyzing Mutual Fund Performance	Streamlined walkthrough of mutual fund performance analysis with regression-based metrics.
Option Pricing with Neural Networks	Brief implementation and evaluation of neural network option pricing.
Volatility Surface Modeling with Neural Networks	Concise treatment of SPX implied volatility surface fitting with ML.
Blockchain Foundations	Summary of hashing, block structure, PoW intuition, and network security ideas.
Proof of Work Example	Minimal PoW blockchain implementation with validation and integrity checks.