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Graduate-Level Modeling · Institutional Asset-Liability Management

Liability-Driven Investment (LDI) Glide Path & Strategic Asset Allocation Optimizer

A pension plan doesn't need one optimal portfolio. It needs a rule that mechanically de-risks as funded status earns the right to, before anyone has to argue about it in a committee meeting.

How To Use This Model

Reading This Tool

Set return, volatility and duration assumptions for four underlying asset classes, blend them into a growth bucket and a liability-hedging bucket, and design a de-risking glide path that shifts the split as funded status improves.

This is exactly how a real pension or insurance ALM team designs strategic asset allocation, not a single static portfolio, but a rule that mechanically reduces risk as the plan's own funded status earns the right to take less of it.

Growth Bucket Assets

LDI (Liability-Hedging) Bucket Assets

Glide Path Design

Plan Position

Current Glide Path Position

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Funded Status

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Current Growth Allocation

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Blended Expected Return

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Blended Volatility

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The Glide Path: Growth Allocation vs. Funded Status

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Bucket-Level Assumptions

Growth Bucket Return / Vol

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LDI Bucket Return / Vol

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Minimum-Variance Growth Weight

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Minimum Achievable Volatility

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Return & Volatility Across The Full Growth/LDI Allocation Range

Expected ReturnVolatility

Duration Matching

LDI Bucket Duration

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Liability Duration

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Effective Asset Duration (At Current Allocation)

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Funded Status Sensitivity To 100bp Rate Move

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Funded Status Sensitivity To A 100bp Rate Move, Across Growth Allocations

Why The Glide Path Shifts Mechanically, Not Discretionarily

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Why There's Often A Volatility-Minimizing Sweet Spot Below 100% LDI

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Why De-Risking Improves Rate Hedging Even Without Touching The Bond Mix

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Institutional Asset-Liability Management

The Core Formulas

Bucket Return = w1R1 + w2R2, Bucket Vol = √(w1²σ1² + w2²σ2² + 2w1w2ρσ1σ2)
Glide Path: Growth% = linear interpolation between (Funded Statusstart, Growth%start) and (Funded Statusend, Growth%end)
Effective Asset Duration = (1−Growth%)·LDI Bucket Duration
Funded Status Sensitivity (100bp) ≈ Funded Status × (Liability Duration − Effective Asset Duration) × 0.01

When To Actually Use This Model

  • Teaching liability-driven investing and dynamic de-risking glide path design in a pension finance or asset-liability management course.
  • Structuring a board-level asset allocation policy that automatically responds to funded status rather than requiring a discretionary re-approval every time markets move.
  • Illustrating the risk-return trade-off between growth-seeking and liability-hedging assets at a strategic, bucket level before diving into individual manager selection.

Key Assumptions & Limitations

  • Growth assets are assumed to carry no meaningful interest rate duration, a simplification, equities and alternatives do have some rate sensitivity in practice, just far less than long bonds.
  • The glide path here is a simple linear interpolation between two funded status points, real glide paths often use more granular funded-status bands with additional triggers (e.g., market volatility circuit breakers).
  • This tool models two broad buckets built from four assets, a full institutional strategic asset allocation typically spans many more asset classes with a complete, empirically estimated covariance matrix.

Foundational References

Leibowitz, M. L., & Henriksson, R. D. (1988). Portfolio Optimization With Shortfall Constraints. Financial Analysts Journal, 45(2), 34-41.

Society of Actuaries and various consulting frameworks on dynamic de-risking glide path design for defined benefit pension plans.

Want to stress-test the funded status this glide path is reacting to?