Builds LP commitment pacing with deployment curves, distribution assumptions, and NAV projection for portfolio planning. Use when modeling commitment pacing, projecting LP cash flows, or planning new fund allocations.
Builds LP commitment pacing with deployment curves, distribution assumptions, and NAV projection for portfolio planning. Use when modeling commitment pacing, projecting LP cash flows, or planning new fund allocations.
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
Denominator shock: Public equity drawdown of 20-30% — measure allocation overshoot
Commitment acceleration: What if the LP adds 1-2 additional commitments beyond plan?
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]