Portfolio Management and Wealth Planning for CFA Level II

Factor thinking, active risk, implementation choices, and investor-specific interpretation for Level II.

Level II Portfolio Management and Wealth Planning pulls multiple frameworks into one decision: factor exposure, active risk, implementation, and investor context. The hard part is often deciding which idea actually governs the vignette rather than listing every portfolio term you recognize.

This chapter now starts with grouped lessons rather than a one-reading-per-page mirror. That structure works better online because Level II usually blends macro regime judgment, active-risk logic, implementation detail, and model interpretation inside one item set.

What This Topic Area Covers

  • macro conditions and business-cycle effects on rates, spreads, earnings, valuation multiples, and real estate
  • active management, information ratio, and the fundamental law
  • ETF mechanics, tracking, implementation costs, and portfolio uses
  • multifactor models, arbitrage pricing logic, and active-risk interpretation
  • VaR, sensitivity and scenario measures, backtesting, and simulation workflow

Current Lesson Path

LessonOfficial coverage boundaryWhat to focus on
Macro Conditions, Business Cycles, and Market EffectsEconomics and Investment MarketsHow rates, cash-flow expectations, and risk premiums transmit macro news into bond, equity, credit, and real-estate performance.
Active Management, Information Ratio, and the Fundamental LawAnalysis of Active Portfolio ManagementValue added, active risk, information ratio, breadth, skill, transfer coefficient, and what manager-selection metrics really mean.
ETF Mechanics, Tracking, and Portfolio UsesExchange-Traded Funds: Mechanics and ApplicationsCreation/redemption, spreads, premiums or discounts, tracking error, and how ETFs are actually used in portfolios.
Multifactor Models, APT, and Active Risk InterpretationUsing Multifactor ModelsFactor sensitivities, expected return decomposition, arbitrage logic, and interpreting model output without overclaiming precision.
VaR, Scenario Risk, Backtesting, and SimulationMeasuring and Managing Market Risk + Backtesting and SimulationVaR methods, stress and sensitivity analysis, risk limits, and the discipline required to trust a backtest or simulation result.

In this section

Revised on Friday, April 24, 2026