: Techniques for organizing and visualizing data, as well as calculating measures of central tendency (mean), dispersion (variance/standard deviation), and correlation.
: The bedrock of finance, covering interest rates, compounding, and the present/future value of cash flows. Quantitative Investment Analysis (CFA Institute...
As technology evolves, the CFA Institute has expanded the curriculum to include cutting-edge data science techniques. : Techniques for organizing and visualizing data, as
: A critical tool for analysts to validate investment theories using procedures like z-tests, t-tests, and chi-square tests. : A critical tool for analysts to validate
: Analyzing the relationship between variables (e.g., how a stock reacts to market movements) to forecast performance and assess risk. Emerging & Advanced Topics
The curriculum is typically organized into sequential modules that build from basic financial arithmetic to complex statistical modeling.
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