Data Driven Finance II
1. Stock Picking Basics
2. A First Portfolio
3a. Alpaca
3b. Rice Database
3c. GHZ Database
3d. Today Table
4a. Simple Backtest
4b. Second Backtest
4c. Evaluation of Returns
5a. Refit and Save
5b. Rank and Trade
5c. Portfolio Analysis
6a. Dummy Variables
6b. Third Backtest
9. ML Models for Return Prediction
6c. Introduction to Options
7. Uses of Options
8. Binomial Trees
10a. Put-Call Parity
10b. Early Exercise
10c. Binomial Trees
10d. Black-Scholes
11. Futures Markets
12. More Futures