Stationary and non-stationary series (AR, MA, ARMA models) and simulation techniques like Monte Carlo and bootstrapping.
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). Page 1 FRM PART I BOOK 2: QUANTITATIVE ANALysis...
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 Stationary and non-stationary series (AR, MA, ARMA models)