본문으로 건너뛰기
cccskills
무료GitHub에 공개

conducting-infrastructure-secondary-analysis

Assesses infrastructure fund secondaries with asset-level cash flow analysis, concession period evaluation, and regulatory risk assessment. Use when analyzing infra secondaries, evaluating infrastructure assets, or pricing infra fund interests.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Conducting Infrastructure Secondary Analysis

When To Use

  • Pricing an LP interest in an infrastructure fund on the secondary market
  • Evaluating a GP-led continuation vehicle holding infrastructure assets
  • Assessing a portfolio of infrastructure fund stakes for a bulk secondary bid
  • Reviewing strip sales or single-asset secondaries involving concession-based infrastructure
  • Stress-testing a proposed NAV discount or premium for an infrastructure fund transfer

Inputs To Gather

  • Fund documents: LPA, side letters, capital account statements, most recent GP valuation report with asset-level detail
  • Asset-level data: project finance models, concession/license terms, contracted revenue schedules, capex forecasts, debt service profiles for each underlying asset
  • Regulatory filings: tariff schedules, rate-case outcomes, license renewal timelines, environmental permits [VERIFY jurisdiction-specific regulatory bodies and filing requirements]
  • Fund cash flows: historical capital calls, distributions, recallable amounts, unfunded commitments, management fee and carry waterfall terms
  • Market comps: recent secondary transaction pricing for comparable infrastructure vintages, broker quotes, LPAC or advisory committee materials
  • Macro context: interest rate environment, inflation linkage in revenue contracts, foreign exchange exposure for cross-border assets

Workflow

1. Fund-Level Screening

  • Map the portfolio composition: core vs. core-plus vs. value-add infrastructure; brownfield vs. greenfield mix
  • Identify fund vintage, remaining term, extension options, and GP track record on prior vehicles
  • Calculate residual NAV, DPI, TVPI, and net IRR to date; compare against infrastructure secondary benchmarks
  • Flag concentration risk — single-asset dominance, geographic clustering, or sector tilt (e.g., >40% in one utility or transport asset)

2. Asset-Level Cash Flow Analysis

  • For each material asset (typically top 5–10 by NAV weight), build or review a bottom-up DCF:
    • Revenue: contracted vs. merchant exposure; inflation-linkage mechanisms (CPI escalators, RAB indexation); volume risk (traffic, throughput, demand)
    • Operating costs: O&M contracts, insurance, lifecycle capex reserves; fixed vs. variable cost structure
    • Debt service: project-level leverage, amortization schedule, DSCR covenants, refinancing risk and timing
    • Terminal value: concession end date (reversion to government vs. perpetual license), residual asset value assumptions
  • Sensitize key drivers: traffic/volume ±10–20%, discount rate ±50–100 bps, inflation ±100 bps, capex overrun scenarios

3. Concession and Regulatory Risk Assessment

  • Map concession expiry dates against fund remaining life — flag assets where concession ends before expected exit [VERIFY concession terms and renewal frameworks per jurisdiction]
  • Assess regulatory regime stability: independent regulator vs. political tariff-setting; history of retroactive policy changes
  • Review rate-reset or periodic review mechanics (e.g., 5-year price control periods for regulated utilities) [VERIFY applicable regulatory review cycles]
  • Evaluate political/sovereign risk for emerging-market infrastructure assets — expropriation history, currency controls, rule-of-law indices
  • Check environmental and permitting risks: decommissioning obligations, emissions compliance costs, transition risk for fossil-fuel-adjacent assets

4. Secondary Pricing and Bid Construction

  • Derive a fair value range using blended asset-level DCFs, rolled up to the fund level after fees and carry
  • Apply a secondary discount or premium to NAV based on:
    • J-curve position (early vintage with unfunded = wider discount; mature distributing fund = tighter or premium)
    • Liquidity and marketability of the underlying assets
    • Quality of GP reporting and transparency
    • Unfunded commitment obligation and its impact on buyer IRR
  • Model buyer returns at multiple price points: gross/net IRR, MOIC, DPI trajectory, payback period
  • Compare bid pricing to recent infrastructure secondary market benchmarks (e.g., Greenhill, Lazard, Jefferies secondary market data)

5. Risk Flag Summary

  • Identify binary risks: upcoming concession expiry with no renewal certainty, pending regulatory proceedings, unresolved litigation, key-person triggers at GP level
  • Quantify downside scenario: what happens to buyer returns if the worst-performing asset writes down 50%?
  • Assess GP alignment: co-investment, GP commitment quantum, any GP-led restructuring conflicts of interest

Output

Produce a structured infrastructure secondary analysis memo containing:

  • Executive summary: fund overview, portfolio composition, recommended bid range with rationale
  • Asset-level exhibits: individual DCF summaries, concession timelines, revenue contract maps
  • Sensitivity tables: buyer IRR/MOIC at varying price points crossed with key variable stress scenarios
  • Regulatory risk matrix: asset-by-asset regulatory regime assessment with color-coded risk ratings
  • Unfunded analysis: projected capital call schedule, impact on total outlay and blended returns
  • Comparable transactions: pricing benchmarks from recent infrastructure secondary trades
  • Risk register: enumerated risk flags with severity ratings and mitigation notes

Quality Checks

  • Confirm every asset-level DCF ties back to source project finance models — no unsupported GP NAV markings accepted at face value
  • Verify concession end dates and regulatory review periods against primary source documents, not GP summaries alone
  • Ensure discount rate assumptions reflect infrastructure-appropriate cost of capital (not generic PE discount rates)
  • Cross-check unfunded commitment figures against latest capital account statement and LPA terms
  • Validate that fee and carry waterfall modeling matches LPA provisions, including any catch-up, clawback, or preferred return mechanics
  • Confirm FX exposure is addressed — hedged vs. unhedged positions, natural hedges in revenue contracts
  • Mark all jurisdiction-dependent regulatory assumptions with [VERIFY]

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Evaluates activist investor campaigns with thesis assessment, proposed changes, and likely outcome analysis. Use when analyzing activist situations, evaluating campaign theses, or assessing activist track records.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CaseMark/skills462026년 10월 23일 업데이트

Evaluates corporate vulnerability to shareholder activism with governance assessment, valuation gaps, and operational improvement opportunities. Use when assessing activist risk, identifying vulnerabilities, or preparing defensive analyses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CaseMark/skills462026년 10월 23일 업데이트

Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CaseMark/skills462026년 10월 23일 업데이트

Evaluates signal half-life, turnover implications, and capacity constraints for systematic alpha factors. Use when analyzing signal persistence, evaluating factor decay, or estimating strategy capacity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CaseMark/skills462026년 10월 23일 업데이트

Evaluates alternative data sources including satellite, NLP sentiment, web scraping, and geolocation for alpha signal generation. Use when analyzing alt data, evaluating new data sources, or integrating non-traditional signals.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CaseMark/skills462026년 10월 23일 업데이트

Evaluates competition law exposure with market definition, HHI analysis, and remedy estimation for proposed transactions. Use when assessing merger clearance risk, analyzing market concentration, or preparing HSR filings.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CaseMark/skills462026년 10월 23일 업데이트

CaseMark의 스킬 모두 보기

이 스킬의 문제 신고