Analyzing Commitment Pacing Models

When To Use

• Modeling forward commitment schedules against an LP's allocation targets and liquidity constraints
• Projecting net cash flows (capital calls minus distributions) across existing and prospective fund commitments
• Evaluating whether a new fund commitment fits within the LP's pacing plan without breaching allocation bands
• Building NAV build-up and runoff projections for board or investment committee reporting
• Stress-testing a portfolio under accelerated drawdown or delayed distribution scenarios

Inputs To Gather

• Existing portfolio data: Fund name, vintage year, commitment size, unfunded balance, current NAV, cumulative contributions and distributions, TVPI/DPI to date
• Target allocation parameters: Total portfolio AUM, private markets allocation target (% and $), allowable over/under-commitment band, asset class sub-targets (buyout, venture, real assets, credit, etc.)
• Deployment curve assumptions: Expected drawdown pace by strategy type (e.g., buyout typically 20-25% Y1, 25-30% Y2, 20-25% Y3; venture more front-loaded on commitments but slower on calls) [VERIFY against GP-provided schedules when available]
• Distribution assumptions: Expected distribution timing by strategy — DPI ramp typically begins Y4-Y5 for buyout, Y5-Y7 for venture; recycling provisions if applicable
• Prospective commitments: Candidate funds with expected closing dates, commitment sizes, and strategy classifications
• Macro/liquidity inputs: Denominator effect sensitivity (public equity return assumptions), LP cash reserve requirements, any hard liquidity constraints (e.g., pension benefit payments)

Workflow

1. Map existing portfolio obligations

   • Catalog all active fund commitments with unfunded balances
   • Assign each fund a deployment curve based on strategy type, vintage, and GP-reported pacing guidance
   • Project remaining capital calls by quarter/year for each existing fund

2. Model distribution expectations

   • Apply strategy-appropriate distribution curves to each fund based on age and current DPI
   • Adjust for market environment — compressed exit markets warrant haircuts to near-term distribution projections
   • Separate recycled capital from true distributions where fund terms permit recycling

3. Build net cash flow projection

   • Aggregate projected capital calls and distributions across the portfolio by period
   • Calculate net cash flow position (distributions minus calls) per period
   • Identify peak unfunded exposure and years of maximum net cash outflow

4. Layer in prospective commitments

   • Add candidate fund commitments at expected closing dates
   • Apply deployment curves for new funds and recalculate aggregate cash flows
   • Test whether new commitments push unfunded ratios or allocation percentages beyond policy bands

5. Project NAV trajectory

   • Use contributions, distributions, and assumed growth rates to project NAV by period
   • Calculate projected allocation as a percentage of total portfolio AUM (apply assumed public equity growth to denominator)
   • Flag periods where allocation breaches upper or lower policy bands

6. Run scenarios and stress tests

   • Accelerated drawdown: GPs call capital 30-50% faster than baseline — test liquidity adequacy
   • Distribution drought: Distributions delayed 12-18 months — assess cash reserve sufficiency
   • Denominator shock: Public equity drawdown of 20-30% — measure allocation overshoot
   • Commitment acceleration: What if the LP adds 1-2 additional commitments beyond plan?

7. Derive pacing recommendation

   • Calculate annual commitment budget that keeps allocation within target bands across scenarios
   • Recommend commitment cadence (number and size of funds per year) by strategy
   • Identify vintage year gaps or concentration risks in the existing portfolio

Output

• Commitment pacing schedule: Year-by-year recommended commitment amounts by strategy, with cumulative totals
• Net cash flow projection: Periodic (quarterly or annual) table showing projected calls, distributions, and net position
• NAV and allocation forecast: Projected NAV trajectory and allocation percentage against target bands, with denominator sensitivity
• Scenario comparison table: Side-by-side view of base case, accelerated drawdown, distribution drought, and denominator shock outcomes
• Key risk flags: Periods of peak negative cash flow, allocation band breaches, vintage concentration, or liquidity shortfalls
• Assumption register: Explicit listing of all deployment curves, distribution assumptions, growth rates, and their sources

Quality Checks

• Verify that unfunded commitment totals reconcile to GP capital account statements or the LP's portfolio management system
• Confirm deployment curve assumptions reflect actual GP call behavior — compare projected vs. historical call patterns for seasoned funds [VERIFY with GP quarterly reports]
• Ensure distribution assumptions distinguish between return of capital and gains, as tax treatment and reinvestment decisions differ
• Check that denominator assumptions for public portfolio growth are internally consistent with the LP's broader asset allocation model
• Validate that over-commitment ratios remain within investment policy statement limits across all scenarios, not just the base case
• Confirm that the pacing model accounts for follow-on fund commitments to existing GP relationships, not just new relationships
• Flag any fund where the GP has discretion to extend the investment period or fund term, as this shifts call/distribution timing [VERIFY fund LPA terms]