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Analyzing Commitment Pacing Models

ASecurity

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.

22 stars
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Added 9/20/2026
businesstestingapi

Works with

cliapi

Security Analysis

A100/100

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add lev-os/agents --skill analyzing-commitment-pacing-models --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: analyzing-commitment-pacing-models
description: 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.
tags:
  - analysis
  - investor-relations-and-lp-reporting
  - portfolio
metadata:
  author: casemark
  practice_areas:
    - Investor Relations
    - LP Reporting
    - Fund Administration
  document_types:
    - Analysis Report
  skill_modes:
    - Analysis
---
# 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]

Attribution

lev-oslev-os
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