1 · Returns, compounding, and factor data
Align price changes, dividends, frequency, and factor units.
Returns, volatility clustering, ARCH/GARCH, VaR and Expected Shortfall, factor models, and backtesting.
Course overview
This free course uses real Python and statsmodels in your browser. Work through the modules below with explanations, executable examples, interactive controls, and questions.
Align price changes, dividends, frequency, and factor units.
Model predictable variation in conditional second moments.
Propagate volatility shocks under positivity and stationarity constraints.
Quantify both a tail threshold and the severity beyond it.
Estimate exposures and evaluate risk models on held-out periods.