"A modern introduction to risk and portfolio management for advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance, including extensive live data and Python code which allow the application of theory to real-world situations."

1. Introduction. 1.1. Notation and Formatting. 2. Basics. 2.1. Time Value of Money. 2.2. Continuous vs. Discrete Compounding. 3. Fixed Income. 3.1. Opportunity Cost of Capital. 3.2. Gordon Growth Model. 4. Time Series Processes. 4.1. Deterministic Processes. 4.2. Stochastic Processes. 5....

1. Modeling -- 2. Sensitivity Analysis -- 3. Indexed Sensitivity Analysis -- 4. Scenario Analysis -- 5. Simulation Analysis -- 6. Customized Input Distributions -- 7. Decision Analysis – Expected Value Maximization -- 8. Decision Analysis – Advanced Topic -- 9. Optimization: Decisions With...