As you begin with the first reading ( Fundamentals of Probability ), prioritize these high-yield concepts that GARP frequently tests:
Simple and multiple linear regressions, diagnostics (addressing issues like multicollinearity and heteroskedasticity), and predictive performance. Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...
Stationary and non-stationary series (AR, MA, ARMA models) and simulation techniques like Monte Carlo and bootstrapping. As you begin with the first reading (
Fundamentals of probability, random variables (discrete and continuous), and common univariate/multivariate distributions. random variables (discrete and continuous)
The curriculum typically spans 13 to 15 readings, building from basic statistics to advanced predictive modeling: