Capital Market Expectations and Asset Allocation
Core concepts
Capital market expectations (CMEs) are forward-looking estimates of return, risk, and correlation for each asset class. Candidates must know the main building blocks: the risk-free rate plus risk premia; the building-block approach (cash yield, expected capital gain, valuation change); and the Grinold-Kroner decomposition of equity returns into income, growth, and repricing. DCF-based and equilibrium approaches (such as reverse-optimized implied returns) are alternatives, each with assumptions to critique.
Asset allocation is the translation of CMEs and the IPS into policy weights. Strategic allocation sets long-term targets; tactical allocation makes shorter-term deviations within policy ranges. Mean-variance optimization is sensitive to input error, so practitioners constrain weights, use resampling, or apply risk-based methods. Correlations are unstable and tend to rise in crises, which weakens diversification exactly when it is needed.
Traps
- Treating historical returns as forecasts without adjustment.
- Forgetting that optimization amplifies estimation error in expected returns.
- Ignoring that policy ranges must be consistent with the IPS constraints.
- Assuming correlations are constant across regimes.
Worked example
Suppose cash yields 3%, expected inflation is 2.5%, and an equity risk premium is estimated at 4%. A simple building-block equity expectation is roughly 3% + 4% = 7% nominal, or about 4.5% real. If the client's required real return is 5%, the allocation implied by these inputs cannot meet the goal without more savings or more risk - a finding to surface, not hide.
Rule of thumb: document every CME assumption, stress the allocation against correlation shocks, and test whether the policy portfolio actually funds the stated goals.