This CFA Level II Quantitative Methods course provides a strong analytical foundation for valuation and investment decision-making. The course focuses on two critical areas of the CFA Level II curriculum: correlation and regression analysis, and time-series analysis.

You will learn how correlation measures relationships between variables and how regression models are used to explain and forecast asset returns. The course explains key assumptions, interpretation of coefficients, hypothesis testing, and common pitfalls that appear in CFA exam questions.

In addition, the course introduces time-series analysis, helping candidates understand trends, seasonality, and autoregressive behavior in financial data. Practical examples demonstrate how time-series models are applied in valuation, risk analysis, and economic forecasting.

The course emphasizes application and interpretation rather than complex mathematics, making it suitable for candidates who want clarity and confidence when facing quantitative CFA Level II vignettes. By the end of this course, you will be able to analyze data relationships, evaluate regression results, and apply time-series concepts effectively in exam and real-world contexts.