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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

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

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 Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...

Simple and multiple linear regressions, diagnostics (addressing issues like multicollinearity and heteroskedasticity), and predictive performance.

Stationary and non-stationary series (AR, MA, ARMA models) and simulation techniques like Monte Carlo and bootstrapping. Mastering the calculation of conditional , unconditional ,

The curriculum typically spans 13 to 15 readings, building from basic statistics to advanced predictive modeling:

Sample moments, the Central Limit Theorem (CLT), and hypothesis testing (z-tests and t-tests). Guide to Quantitative Analysis (Book 2) 1

Distinguishing between independent events (where the occurrence of one doesn't change the probability of the other) and mutually exclusive events (which cannot occur at the same time).