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Layer 4 · Professional CertificationsCFA® Level 2Exam: CFA Institute

CFA® L2 — Quantitative Methods

Multiple regression, time-series, machine-learning fundamentals, big-data techniques. Quant that actually shows up in research roles.

30 hours of content2 chaptersFree during Phase 1

Quick info

Layer
Professional Certifications
Track
CFA® Level 2
Estimated hours
30 hrs
Chapters
2
Exam body
CFA Institute
Cost on Trustner
Free
Full course material live

Every chapter below has Foundation, Deep Dive, and Advanced material — read in any order, expand each chapter to see the full content.

About this course

CFA L2 Quant focuses on multivariate regression, time-series analysis, and machine-learning intuition. Item sets test whether you can read regression output, identify violations of OLS assumptions, and recommend remedial actions. ~6-9% of L2 weight.

Who this is for

  • CFA L2 candidates.
  • Working analysts using regression in valuation/forecasting models.
  • Quant-curious investment professionals.

What you'll learn

  • Multiple regression — interpretation, assumptions, diagnostics
  • Time-series analysis — AR, MA, ARMA, unit roots, cointegration
  • Machine-learning fundamentals — supervised vs unsupervised, overfitting
  • Big data techniques in investment research
  • Probabilistic approaches: Monte Carlo, simulations

Course material — 2 chapters

Each chapter offers three tiers — Foundation for the core concept, Deep Dive for worked examples and practitioner depth, and Advanced for edge cases and exam tips. Click any chapter to expand.

  1. 1
    Reading 1

    Multiple regression — interpretation and inference

    • Coefficients and t-tests
    • F-test for joint significance
    • R² and adjusted R²
    • Multicollinearity, heteroskedasticity, serial correlation
    ✓ Full chapter — read, examples, FAQ, MCQs
  2. 2
    Reading 2

    Time-series analysis — AR, MA, unit roots, cointegration

    • Autoregressive (AR) models
    • Moving-average (MA) and ARMA
    • Unit-root tests, stationarity
    • Cointegration
    ✓ Full chapter — read, examples, FAQ, MCQs

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