This course builds the theoretical foundation for investment in assets. It utilizes real stock data as well as real economic data from the Federal Reserve to illustrate theoretical models. This is the first course where the programming and the financial concepts will be at an intermediate model. Advanced techniques such as curve optimization will be employed.

Prerequisites: Basic Finance

Python Difficulty: Intermediate

Python Libraries Used: scipy.optimize, pandas-datareader, matplotlib, numpy, pandas

Finance Difficulty: Intermediate

Finance Concepts: Return, Variance, Capital Allocation Line, Security Market Line, Diversification, Portfolios, Arbitrage, Dividend Discount Model, Fixed Income, Duration, Immunization