Mean-Variance Optimization and the Total Portfolio Approach
Free CAIA Level II lesson in Asset Allocation. 40 min read, ~6,006 words.
MVO maximizes mean-variance utility, where is risk aversion. Closed-form weights scale with; as rises, risky weights fall. MVO is an "error maximizer" that ignores skewness and kurtosis and inflates smoothed illiquid weights. Adjustments: a liquidity penalty, factor-exposure caps, plus resampling, shrinkage, Black-Litterman, and weight constraints. The Total Portfolio Approach (TPA)...
Read the full lesson, free →
Worked examples, audio narration, and practice. No signup to read.
What this lesson covers
- Content
- Example 1
- Example 2
- Common Mistakes
- Key Takeaways
- Exam Shortcuts
Learning objectives
- mvo process
- mvo implementation
- mvo multiple risky
- mvo issues
- mvo adjustments
- mvo estimation error
- tpa overview
- tpa defining
- tpa governance
- tpa factor lens
- tpa competition capital
- tpa culture
- tpa implementing
- core satellite
- top down bottom up
- risk budgeting
- factor risk budgeting
- risk parity
- other quant strategies
- taa
- taa process
- cash commitments illiquidity
- liquid alternatives
- lp direct investment
- co investments
- co investment returns
- secondary market pe
- gp led secondaries
- rebal buy hold constant mix
- rebal directional
- rebal cppi
- rebal obpi
- rebal dynamic illiquid
- rebal costs
Browse all free CAIA Level II lessons or jump into free CAIA Level II practice questions.