This course provides a comprehensive and integrated preparation for the CFA Level II examination. It is designed for CFA candidates, finance professionals, and investment analysts who want to master advanced analytical tools and valuation techniques used in professional investment practice.
The course begins with advanced quantitative methods, including multiple regression, time-series analysis, machine learning, model evaluation, and big data applications. Learners will develop strong skills in statistical modeling and data-driven decision making.
In economics, the course covers currency exchange rates, equilibrium valuation, and economic growth, helping students understand macroeconomic drivers of financial markets.
The course also focuses on financial reporting and analysis topics such as intercorporate investments and employee compensation, providing deep insight into complex accounting treatments.
Corporate finance and equity valuation modules include capital structure, dividends and share repurchases, and equity valuation applications and processes. Fixed income topics cover term structure and interest rate dynamics.
Derivatives are covered through contingent claim valuation using binomial and Black-Scholes models. Alternative investments include real estate and ETFs. The course concludes with ethics, professionalism, and the CFA Code and Standards.
By the end of this course, learners will have a strong command of Level II concepts and be well prepared for the CFA examination and advanced investment analysis.
