본문으로 건너뛰기
cccskills
무료GitHub에 공개

modeling-dilution-impact-analysis

Calculates dilutive impact of equity issuance on existing shareholders with EPS, ownership, and NAV per share analysis. Use when modeling dilution, communicating shareholder impact, or comparing capital raise alternatives.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Modeling Dilution Impact Analysis

When To Use

  • Issuer is evaluating a primary equity offering (IPO, follow-on, ATM, PIPE, rights offering) and needs to quantify shareholder impact before launch
  • Board or management requests a comparison of capital raise alternatives (e.g., 10% vs. 15% primary offering, common vs. convertible) on a per-share basis
  • Investor relations needs pro-forma EPS and ownership tables for investor presentations or prospectus disclosure
  • Evaluating anti-dilution protection triggers in existing preferred stock or convertible instruments

Inputs To Gather

  • Pre-offering share data: Basic shares outstanding, diluted share count (treasury stock method), fully diluted share count including all convertible securities, options, warrants, and RSUs with strike prices and vesting schedules
  • Offering terms: Number of new shares issued, offering price (or price range), greenshoe/over-allotment option size, any discount to market price
  • Financial projections: Consensus or management EPS estimates for current and next fiscal year, net income forecast, book value / NAV per share [VERIFY: source — consensus vs. management guidance]
  • Use of proceeds: Debt paydown (interest savings), acquisition (accretion/dilution from target), general corporate purposes, or share buyback offset
  • Existing capital structure: Outstanding convertible notes (conversion price, conversion ratio), preferred stock (participation rights, conversion mechanics), anti-dilution ratchet provisions [VERIFY: exact anti-dilution formula — broad-based weighted average vs. full ratchet]
  • Market data: Current stock price, 30-day VWAP, 52-week range (for pricing context)

Workflow

  1. Build the pre-offering share count schedule

    • Start with basic shares outstanding from the most recent filing (10-Q/10-K or equivalent)
    • Layer in dilutive securities using treasury stock method at the assumed offering price: options, warrants, RSUs, convertible debt, convertible preferred
    • Separately track fully diluted share count (all instruments regardless of in/out of the money)
  2. Model the offering mechanics

    • Calculate new shares from primary issuance at offering price
    • Add greenshoe shares (typically 15% of base deal) as a separate toggle
    • Compute gross and net proceeds (deduct underwriting discount — typically 3–7% depending on deal type [VERIFY: fee schedule for specific deal])
    • If convertible offering: model conversion premium, conversion price, and incremental shares at conversion
  3. Calculate pro-forma dilution metrics

    • Ownership dilution: (New shares issued) / (Pre-offering diluted shares + New shares issued) — express as percentage reduction in existing holder ownership
    • EPS dilution: Compare pre-offering EPS to pro-forma EPS = (Net income ± proceeds impact) / (Post-offering diluted shares)
    • NAV/Book value dilution: Compare pre-offering NAV per share to post-offering NAV per share after adding net proceeds to equity
    • If proceeds retire debt: add back after-tax interest savings to net income in EPS calculation
    • If proceeds fund an acquisition: layer in target earnings contribution and additional shares
  4. Build the comparison matrix

    • Run scenarios across at least 3 offering sizes and 3 price points (e.g., ±5%, ±10% from spot)
    • For each scenario, display: shares issued, gross proceeds, ownership dilution %, EPS dilution %, NAV dilution/accretion %, and breakeven period (quarters until EPS recovers to pre-deal level assuming proceeds deployment)
    • Highlight the scenario closest to issuer's target raise amount
  5. Assess convertible and anti-dilution impacts

    • Check whether offering price triggers anti-dilution adjustments on existing preferred or convertible instruments
    • If broad-based weighted average: recalculate adjusted conversion price using the standard formula and show incremental dilution from conversion price reset
    • If full ratchet: show worst-case conversion price adjustment and flag magnitude of additional dilution
    • Model contingent dilution from convertible notes at various stock price levels ($X, $Y, $Z) showing incremental share issuance at each threshold
  6. Sensitivity analysis

    • Vary offering price (±10–20% from base case) and show impact on all key metrics
    • Vary use-of-proceeds assumptions (100% debt paydown vs. 100% general corporate vs. blend)
    • If applicable, toggle greenshoe exercise on/off
    • Present results in a matrix format suitable for board or management review

Output

  • Summary table: Pre-offering vs. post-offering comparison showing basic shares, diluted shares, ownership %, EPS, and NAV per share — for base case and key scenarios
  • Scenario matrix: Grid of offering size × offering price with ownership dilution %, EPS dilution %, and NAV impact for each cell
  • Anti-dilution waterfall (if applicable): Step-through showing how existing conversion prices adjust and incremental shares created
  • Sensitivity tables: EPS dilution and ownership dilution across price and size ranges
  • Key assumptions list: Clearly labeled with sources (consensus, management, filing date) and [VERIFY] flags on any estimated inputs
  • All outputs should be formatted for direct insertion into investor presentations, S-1/prospectus supplements, or board materials

Quality Checks

  • Confirm diluted share count ties to the most recent SEC filing or equivalent disclosure — reconcile any difference
  • Verify that treasury stock method is applied correctly: only in-the-money instruments at the offering price add incremental shares
  • Cross-check that pro-forma EPS × post-offering diluted shares ≈ adjusted net income (arithmetic consistency)
  • Confirm ownership dilution percentage is calculated on the correct base (pre-offering diluted, not basic)
  • Validate that use-of-proceeds adjustments to net income use the correct tax rate [VERIFY: marginal vs. effective tax rate]
  • Ensure anti-dilution calculations use the exact formula from the governing instrument, not a generic approximation
  • Flag any scenario where dilution exceeds 20% ownership — this may trigger exchange listing rules or shareholder approval requirements [VERIFY: applicable exchange rules — NYSE §312.03, Nasdaq §5635]

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 22일 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 22일 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 22일 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 22일 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 22일 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 22일 업데이트

CaseMark의 스킬 모두 보기

이 스킬의 문제 신고