Browse CFA Level 2 Essentials

Chapter 1: Advanced Quantitative Methods—Multiple Regression, Time-Series, and Machine Learning

Chapter 1: Advanced Quantitative Methods—Multiple Regression, Time-Series, and Machine Learning explains the core concepts, key definitions, and practical implications you need for solid analysis. It highlights common pitfalls and the intuition behind the methods so the results are interpreted correctly.

In this section

  • Multiple Regression Foundations and Applications
    Multiple Regression Foundations and Applications (CFA Level 2): Covers Purpose and Definition and Key Assumptions with key formulas and practical examples. Includes exam-style practice questions with explanations.
  • Model Specification, Misspecification, and Extensions
    Model Specification, Misspecification, and Extensions (CFA Level 2): Covers Model Specification and Under-Specification vs. Over-Specification with key formulas and practical examples. Includes exam-style practice questions with explanations.
  • Time-Series Analysis and Forecasting Techniques
    Time-Series Analysis and Forecasting Techniques (CFA Level 2): Covers Differences from Cross-Sectional Data and Stationarity and Autocorrelation with key formulas and practical examples. Includes exam-style practice questions with explanations.
  • Advanced Topics in Time-Series—Volatility and Seasonality
    Advanced Topics in Time-Series—Volatility and Seasonality (CFA Level 2): Covers Why Volatility Matters and ARCH (Autoregressive Conditional Heteroskedasticity) with key formulas and practical examples. Includes exam-style practice questions with explanations.
  • Machine Learning and Big Data in Finance
    Machine Learning and Big Data in Finance (CFA Level 2): Covers Introduction to Machine Learning in Finance and Supervised Learning with key formulas and practical examples. Includes exam-style practice questions with explanations.
  • Simulation Methods for Scenario Testing
    Simulation Methods for Scenario Testing (CFA Level 2): Covers Historical Simulation and Example: Portfolio VaR through Historical Simulation with key formulas and practical examples. Includes exam-style practice questions with explanations.

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Chapter 2: Macroeconomic Analysis, Exchange Rates, and Policy Implications