The curriculum typically spans 13 to 15 readings, building from basic statistics to advanced predictive modeling:
Recent additions include Machine Learning (ML) methods such as neural networks, decision trees, and regularization (LASSO/Ridge). 2. Strategic Focus for Page 1 & Chapter 1 Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...
As you begin with the first reading ( Fundamentals of Probability ), prioritize these high-yield concepts that GARP frequently tests: The curriculum typically spans 13 to 15 readings,
Simple and multiple linear regressions, diagnostics (addressing issues like multicollinearity and heteroskedasticity), and predictive performance. Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...
A "hot topic" for examiners, used to update prior probabilities as new information becomes available.
Stationary and non-stationary series (AR, MA, ARMA models) and simulation techniques like Monte Carlo and bootstrapping.