secondaries

name

secondaries

description

PE secondaries analysis — LP interest transfers, GP-led continuation vehicles, and NAV lending. Activate when the user mentions secondaries, LP secondary, GP-led continuation, continuation fund, tender offer, strip sale, NAV lending, NAV line, preferred equity on fund, fund restructuring, stapled secondary, LP portfolio, blind pool discount, J-curve mitigation, DPI acceleration, or asks about buying or selling PE fund interests.

PE Secondaries Analysis

I analyze secondary transactions in private equity — buying and selling existing fund interests. Secondaries are the liquidity mechanism for an illiquid asset class. The key analytical challenge is valuing a portfolio of companies that you can see but can't control, at a price that compensates for the remaining blind pool risk and generates an acceptable return over a compressed hold period.

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Scope & Boundaries

What this skill DOES:

• Value LP fund interests using NAV analysis and discount/premium assessment
• Model GP-led continuation vehicle economics (rollover vs. cash-out)
• Analyze LP portfolio sales (strip deals, full portfolio, single-fund)
• Calculate expected returns under various discount-to-NAV scenarios
• Assess blind pool risk and vintage concentration
• Model J-curve mitigation from buying seasoned fund interests
• Analyze NAV lending structures (fund-level credit facilities)
• Evaluate stapled secondaries (commitment to new fund + secondary purchase)

Use a different skill when:

• Direct PE investing → /pe-buyout or /pe-growth
• Private credit → /private-credit
• Fund formation and construction → /vc (for VC fund math) or /pe-buyout (PE fund metrics)

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Available Tools

Tool	Command	When to Use
IRR / NPV	python3 tools/irr.py	Buyer return calculation at various discounts
VC Returns	python3 tools/vc_returns.py	Fund metrics (TVPI, DPI, RVPI)
DCF	python3 tools/dcf.py	Cash flow valuation of remaining portfolio

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Pre-Flight Checks

1. Transaction type: LP interest sale, GP-led continuation, tender offer, strip sale?
2. Fund details: Vintage, strategy, size, GP, current NAV, TVPI, DPI, RVPI
3. Portfolio data: Underlying company details, hold periods, recent marks
4. Remaining commitments: Unfunded obligations, expected call schedule
5. Pricing: Bid/ask as % of NAV
6. Seller motivation: Liquidity need, denominator effect, strategy change, regulatory

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Phase 1: NAV Analysis & Pricing

Goal: Determine fair value relative to reported NAV.

Fund snapshot:
  Vintage:              [X]
  Fund size:            $[X]M
  LP commitment:        $[X]M
  Drawn capital:        $[X]M ([X]% called)
  Remaining commitment: $[X]M
  Reported NAV:         $[X]M
  Distributions to date:$[X]M

Fund metrics:
  TVPI (NAV + distributions) / called = [X]x
  DPI (distributions / called) = [X]x
  RVPI (NAV / called) = [X]x
  Net IRR: [X]%

Discount/Premium Assessment

Factor	Premium	NAV	Discount
GP quality / track record	Top quartile	Median	Bottom quartile
Portfolio quality	Strong performers	Mixed	Impaired assets
Fund maturity	Late (2-3yr to exit)	Mid-life	Early (5+ years)
Unfunded commitment	<10% remaining	20-40%	>40% (blind pool)
Sector attractiveness	Tailwind sectors	Neutral	Headwind sectors
Market conditions	Seller's market	Balanced	Buyer's market

Typical pricing ranges:

• Top-quartile, late-life: 95-105% of NAV
• Median fund, mid-life: 85-95% of NAV
• Bottom-quartile or early: 70-85% of NAV
• Distressed seller / tail-end: 50-75% of NAV

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Phase 2: Return Modeling

Goal: Calculate expected returns at various purchase prices.

Purchase at [X]% of NAV:
  Cost basis: $[X]M (NAV $[X]M × [X]%)
  (+) Remaining unfunded: $[X]M (assumed called over [X] years)
  Total investment: $[X]M

Expected distributions:
  Near-term (Year 1-2): $[X]M (from assets close to exit)
  Medium-term (Year 2-4): $[X]M (from portfolio growth + exits)
  Tail (Year 4+): $[X]M (remaining assets)

Expected total return: $[X]M
MOIC: [X]x
IRR: [X]%

Sensitivity: IRR by Discount and Hold Period

Discount to NAV	2-Year Exit	3-Year Exit	4-Year Exit
5% (95% of NAV)	[X]%	[X]%	[X]%
10% (90%)	[X]%	[X]%	[X]%
15% (85%)	[X]%	[X]%	[X]%
20% (80%)	[X]%	[X]%	[X]%

Run: python3 tools/irr.py --cfs="[-cost, dist_y1, dist_y2, dist_y3, dist_y4]"

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Phase 3: GP-Led Continuation Vehicles

Goal: Analyze a GP-led continuation fund from both GP and LP perspectives.

Continuation vehicle structure:
  Asset(s) rolling:              [Company/portfolio description]
  Current GP valuation:          $[X]M
  New vehicle size:              $[X]M
  LP options:
    (a) Cash out at [X]% of NAV  ($[X]M)
    (b) Roll into continuation    (at NAV)
  New investor commitment:       $[X]M at [X]% discount
  GP rollover:                   [X]% of carry + co-invest

Economics:
  New management fee:            [X]% on committed/invested
  New carry:                     [X]% above [X]% pref
  GP crystallized carry:         $[X]M (from old fund marks)

LP decision framework:

Factor	Roll	Cash Out
Belief in asset upside	High — more value to create	Low — fully valued
GP conflict of interest	Manageable — fairness opinion	Concerning — GP buying from itself
Liquidity need	None	Immediate need
Discount on new money	Rolls at NAV (no discount)	Cash at NAV
Information advantage	Full access as existing LP	N/A

Red flags: GP crystallizing large carry on the transfer, no fairness opinion, new vehicle terms worse than original fund, no LPAC involvement.

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Phase 4: NAV Lending

Goal: Analyze fund-level credit facilities secured by portfolio NAV.

NAV Facility:
  Fund NAV:                      $[X]M
  Advance rate:                  [X]% of NAV
  Facility size:                 $[X]M
  Rate:                          SOFR + [X]bps
  Maturity:                      [X] years
  Covenants:                     Min NAV coverage [X]x, LTV ≤[X]%

Use of proceeds:
  (a) DPI acceleration — distribute cash to LPs
  (b) Bridge unfunded commitments
  (c) Fund GP commitment
  (d) Portfolio company support

Risk assessment: NAV lending creates fund-level leverage. If portfolio companies decline in value, the fund may face a margin call requiring asset sales at distressed prices.

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Quality Gates

• Fund metrics verified (TVPI, DPI, RVPI, IRR)
• NAV independently assessed (not just GP-reported)
• Discount/premium justified with factor analysis
• Returns modeled at 3+ discount levels
• Unfunded commitments included in total investment cost
• GP-led: conflict of interest assessment completed
• Stress test: what if portfolio marks down 20-30%?

Hard Constraints

• NEVER assume reported NAV is fair value without independent assessment
• NEVER ignore unfunded commitments — they are a real cash obligation
• ALWAYS assess GP conflict of interest in continuation vehicles
• ALWAYS stress test against a 20-30% portfolio markdown

Common Pitfalls

1. Trusting stale NAVs — marks can be 3-6 months old, especially in volatile markets
2. Ignoring unfunded commitments — buying a 60%-called fund means you owe 40% more
3. GP-led at inflated marks — GP has incentive to mark high to crystallize carry
4. Concentrating on a single fund — secondaries work best as diversified portfolios
5. Forgetting J-curve on remaining commitments — unfunded calls create negative early cash flows

Related Skills

• /pe-buyout — understanding the underlying buyout investments
• /pe-growth — understanding growth equity portfolio companies
• /private-credit — NAV lending and fund-level credit
• /attribution — fund performance attribution