Book Content
chapters • 13h36m total length
1. Python Installation and Introduction
2. Using Python as an ordinary calculator
3. Using Python as a financial calculator
4. Python codes (13 lines) to price a call option
5. Introduction to modules
6. Introduction to NumPy and SciPy modules
7. Visual Finance via Matplotlib
8. Statistical Analysis of Time Series
9. Python loops and implied volatility based on the Black-Scholes model
10. Statistical analysis of time series data
11. Monte Carlo Simulation for options
12. Volatility Measures and GARCH
