Browse CFA Level 2

Chapter 32: Advanced Data Considerations

In this section

  • Handling Outliers and Non-Stationary Data
    Learn how to identify, handle, and transform outliers and non-stationary datasets in equity valuation to ensure more reliable analysis and forecasts.
  • Normalizing Financial Statements for Valuation
    Learn how to adjust financial statements to reflect a company’s sustainable performance by removing one-time or extraordinary items, smoothing revenues and expenses, and ensuring comparability across peers.
  • Identifying Quality of Earnings Concerns
    Learn how to evaluate the reliability of reported earnings, identify red flags in financial statements, and protect your valuations from distorted data.
  • Vignette Drill: Data Scrubbing Techniques
    Explore real-world item set scenarios focusing on detecting and correcting inaccurate financial data, normalizing earnings, and spotting non-recurring items to build more reliable equity valuations.
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