is a foundational pillar of the CFA Institute's curriculum, focusing on the use of mathematical and statistical tools to drive investment decision-making. It provides a disciplined framework for identifying patterns in financial data, quantifying risk, and developing strategies to outperform traditional approaches. Core Learning Modules
: Techniques for organizing and visualizing data, as well as calculating measures of central tendency (mean), dispersion (variance/standard deviation), and correlation. Quantitative Investment Analysis (CFA Institute...
: Using probability distributions (normal, lognormal) and trees to quantify the likelihood of various investment outcomes and manage risk. is a foundational pillar of the CFA Institute's
The curriculum is typically organized into sequential modules that build from basic financial arithmetic to complex statistical modeling. As technology evolves, the CFA Institute has expanded
: A critical tool for analysts to validate investment theories using procedures like z-tests, t-tests, and chi-square tests.
As technology evolves, the CFA Institute has expanded the curriculum to include cutting-edge data science techniques.