Mastering the calculation of conditional , unconditional , and joint probabilities using probability functions. 3. Study Tips for Success FRM Part 1 - Book 2 - Quantitative Analysis - Udemy
Fundamentals of probability, random variables (discrete and continuous), and common univariate/multivariate distributions.
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:
Stationary and non-stationary series (AR, MA, ARMA models) and simulation techniques like Monte Carlo and bootstrapping. Mastering the calculation of conditional , unconditional ,
is a foundational pillar of the FRM Part I curriculum, accounting for 20% of the exam . This book transitions from general risk theory to the mathematical toolkit used to identify and manage risk, starting with Chapter 1: Fundamentals of Probability . Guide to Quantitative Analysis (Book 2) 1. Core Subject Areas
A "hot topic" for examiners, used to update prior probabilities as new information becomes available. Recent additions include Machine Learning (ML) methods such
Sample moments, the Central Limit Theorem (CLT), and hypothesis testing (z-tests and t-tests).