How does surplus optimization differ from asset-only optimization, and why is it the correct framework for pension fund asset allocation?
I understand that pension funds have liabilities, but I'm not sure how to incorporate liabilities into mean-variance optimization. What changes in the math when you optimize surplus instead of total return, and how does it affect the optimal portfolio?
Surplus optimization shifts the objective from maximizing risk-adjusted asset returns to maximizing risk-adjusted surplus returns, where surplus equals assets minus the present value of liabilities. This fundamentally changes which portfolios are considered efficient because the risk measure is no longer asset volatility but surplus volatility.\n\nMathematical Framework:\n\nAsset-only: Maximize E(R_A) - (lambda/2) x Var(R_A)\n\nSurplus: Maximize E(R_S) - (lambda/2) x Var(R_S)\n\nWhere surplus return:\nR_S = (R_A x A - R_L x L) / (A - L)\n\nAnd surplus variance:\nVar(R_S) = w_A^2 x Var(R_A) + w_L^2 x Var(R_L) - 2 x w_A x w_L x Cov(R_A, R_L)\n\nThe key insight: assets that are highly correlated with liabilities reduce surplus variance even if they have low expected returns. Long-duration bonds may be suboptimal in an asset-only framework but are the dominant risk-reducer in surplus space.\n\n`mermaid\ngraph TD\n A[\"Asset-Only Efficient Frontier\"] --> B[\"Optimal: 65% equity
35% short-duration bonds
Maximizes Sharpe Ratio\"] \n C[\"Surplus Efficient Frontier\"] --> D[\"Optimal: 35% equity
65% long-duration bonds
Maximizes Surplus Sharpe\"] \n B --> E[\"Ignores liability sensitivity
to rate changes\"] \n D --> F[\"Matches liability duration
reduces surplus volatility\"] \n style D fill:#4ecdc4\n style E fill:#ff6b6b\n`\n\nWorked Example:\n\nEvergreen Municipal Pension:\n- Assets: $900M\n- Liabilities (PV): $850M\n- Surplus: $50M (funded ratio: 105.9%)\n- Liability duration: 14.2 years\n- Liability discount rate sensitivity: 1 bp rise reduces PV by $1.21M\n\nAsset-only optimization suggests:\n65% equities ($585M), 25% intermediate bonds ($225M), 10% alternatives ($90M)\nPortfolio duration: 2.8 years\nSurplus volatility: 18.5% (very high -- duration mismatch of 11.4 years)\n\nSurplus optimization suggests:\n30% equities ($270M), 60% long-duration bonds ($540M), 10% alternatives ($90M)\nPortfolio duration: 10.1 years\nSurplus volatility: 7.2% (duration gap reduced to 4.1 years)\n\nThe surplus-optimal portfolio has a much smaller duration gap (4.1 vs. 11.4 years), dramatically reducing the risk that interest rate changes will impair the funded status.\n\nWhy the Portfolios Differ:\n\nIn asset-only space, short-duration bonds dominate because they have lower volatility. In surplus space, long-duration bonds dominate because they are highly correlated with liability movements (both driven by long-term interest rates). The \"risk\" that matters is not absolute portfolio volatility but the mismatch between asset and liability behavior.\n\nSurplus Optimal Allocation Characteristics:\n\n1. Higher bond allocation: Bonds hedge liability rate sensitivity\n2. Longer duration: Duration matching reduces surplus volatility\n3. Inflation protection: If liabilities are inflation-linked, TIPS or real return bonds are included\n4. Equity as surplus growth: Equities drive expected surplus growth but increase surplus volatility\n5. Risk budgeting: Active risk and tracking error are measured relative to the liability benchmark, not a market index\n\nStudy surplus optimization and ALM in our CFA Level III portfolio management course.
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