modeling-fund-economics-sensitivity

name	modeling-fund-economics-sensitivity
description	Builds fund economic models with sensitivity across deployment pace, exit multiples, and fee/carry structures for LP and GP returns. Use when modeling fund economics, projecting LP net returns, or analyzing fee-adjusted performance.
tags	["modeling","fund-formation-and-structuring"]
metadata	{"author":"casemark","practice_areas":["Fund Formation","Fund Structuring","Partnership Law"],"document_types":["Financial Model"],"skill_modes":["Modeling","Forecasting"]}

Modeling Fund Economics Sensitivity

Builds fund economic models with sensitivity analysis across deployment pace, exit multiples, and fee/carry structures to project LP net returns and GP economics.

When To Use

• Modeling projected LP net IRR and net TVPI for a new fund's PPM or marketing materials
• Comparing fee/carry structures during LPA negotiations (e.g., 2/20 vs. 1.5/20 with catch-up variations)
• Stress-testing fund returns under different deployment and exit timing scenarios
• Evaluating GP economics (carried interest, management fee revenue) across fund life
• Presenting sensitivity tables to an LP advisory committee or investment committee

Inputs To Gather

• Fund parameters: target fund size, GP commitment percentage, fund term (investment period + harvest period), extension options
• Fee structure: management fee rate and basis (committed vs. invested capital), fee step-down timing and rate, organizational expense cap, fund expense budget
• Carry structure: carried interest percentage, preferred return (hurdle rate), catch-up split and rate (e.g., 80/20 catch-up to 20%), whole-fund vs. deal-by-deal waterfall, clawback provisions
• Deployment assumptions: number of investments, average check size, deployment pace (e.g., 3–5 year investment period), recycling percentage of returned capital
• Exit assumptions: target gross MOIC range (e.g., 1.5x–3.0x), holding period distribution (3–7 years), exit timing curve (early realizations vs. back-loaded)
• Sensitivity ranges: define low/base/high cases for each key variable

Workflow

1. Build the capital call schedule

   • Model LP capital calls based on deployment pace assumptions (front-loaded, even, or J-curve profile)
   • Layer in management fees drawn from commitments (or net against invested capital, depending on LPA terms)
   • Account for GP co-investment and any fee offsets (e.g., portfolio company monitoring fees credited against management fees)

2. Model the portfolio and exit cash flows

   • Project gross investment returns for each scenario using target MOIC and holding period
   • Distribute exits across the harvest period — apply a realization curve rather than assuming a single exit date
   • If recycling is permitted, model reinvestment of early proceeds within the investment period [VERIFY: confirm recycling cap in LPA, typically 100–125% of commitments]

3. Apply the waterfall distribution

   • Calculate return of capital, preferred return accrual, catch-up allocation, and residual carried interest split
   • For whole-fund waterfalls: aggregate all proceeds before splitting carry; track cumulative preferred return threshold
   • For deal-by-deal waterfalls: compute carry on each realization separately; model escrow/holdback for clawback protection [VERIFY: escrow percentage — commonly 20–30% of carry distributions]
   • Compute net distributions to LPs after carry and expenses

4. Calculate return metrics

   • LP net IRR: time-weighted return on LP cash flows (calls in, distributions out) net of all fees and carry
   • LP net TVPI: total value to paid-in capital (distributions + remaining NAV / total called capital)
   • LP DPI: distributions to paid-in (realized returns only)
   • GP carry: total carried interest dollars and as a multiple of GP commitment
   • GP management fee revenue: cumulative fees over fund life, before and after step-down

5. Run sensitivity analysis

   • Build a matrix varying exit multiple (rows) against deployment pace (columns) for LP net IRR and net TVPI
   • Run a second matrix varying fee/carry structure against exit multiple for LP net returns
   • Test specific scenarios: (a) rapid deployment with lower multiples, (b) slow deployment with higher multiples, (c) early realizations enabling recycling
   • Highlight breakeven exit multiple where LP net IRR equals the preferred return hurdle

Output

• Summary table: base case LP net IRR, net TVPI, DPI, and GP carry for the primary scenario
• Sensitivity matrices: 2–3 tables showing LP net IRR and net TVPI across variable combinations
• Cash flow schedule: annual summary of calls, distributions, net cash flow, and cumulative metrics
• Fee analysis: total management fees, fee offsets, organizational expenses, and net fee load as percentage of committed capital
• GP economics summary: carry dollars by scenario, management fee revenue, and total GP compensation
• Assumptions register: all inputs clearly stated with sources, including any [VERIFY] flags for terms pending LPA finalization

Quality Checks

• Confirm that LP net IRR is always lower than gross IRR — if not, the fee/carry layer is misapplied
• Verify that at the preferred return hurdle, zero carry is distributed (waterfall integrity check)
• Ensure capital calls never exceed total commitments (unless recycling is modeled and within permitted limits)
• Cross-check that LP net TVPI = (total distributions + remaining NAV) / total called capital — arithmetic consistency
• Validate that management fee step-down timing matches LPA terms (commonly steps down from committed to invested capital basis after investment period) [VERIFY: confirm step-down trigger and rate]
• Compare modeled J-curve profile against industry benchmarks for the fund's strategy (e.g., buyout funds typically show positive net cash flow by years 5–6)
• Flag any scenario where GP carry exceeds 30% of total fund profits as unusual and warranting review