본문으로 건너뛰기
cccskills
무료GitHub에 공개

modeling-rights-offering-arbitrage

Analyzes rights offering dynamics with theoretical ex-rights price, subscription premium, and nil-paid value calculation. Use when evaluating rights offerings, modeling TERP, or analyzing subscription arbitrage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(1)

  • SKILL.md5.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Modeling Rights Offering Arbitrage

When To Use

  • Issuer announces a rights offering and you need to model the theoretical ex-rights price (TERP) to evaluate fair value impact
  • Evaluating whether nil-paid rights are mispriced relative to the subscription price and cum-rights share price
  • Sizing an arbitrage position by comparing the market price of nil-paid rights to their theoretical value
  • Assessing dilution impact on existing shareholders who do not exercise
  • Analyzing an activist's strategy where a rights offering is used as a defensive or offensive capital structure tool
  • Modeling oversubscription privilege economics and backstop commitment fees

Inputs To Gather

  • Cum-rights share price — last traded price before the ex-rights date (or current price if pre-ex-date)
  • Subscription price — the price at which new shares can be purchased under the offering
  • Rights ratio — number of existing shares required to subscribe for one new share (e.g., 4:1 means 4 old shares yield 1 right to buy 1 new share)
  • Total shares outstanding (pre-offering) and new shares to be issued
  • Gross offering proceeds and any backstop/standby fees
  • Key dates — record date, ex-rights date, subscription period, oversubscription deadline, closing date
  • Oversubscription terms — whether oversubscription privilege exists, any pro-rata allocation mechanics
  • Market data — nil-paid rights trading price (if rights are renounceable and listed), sector comps, short borrow availability
  • Issuer-specific context — reason for offering (deleveraging, acquisition financing, regulatory capital), any concurrent transactions

Workflow

  1. Calculate TERP

    • TERP = (Cum-rights price × Existing shares + Subscription price × New shares) / (Existing shares + New shares)
    • Express TERP discount to cum-rights price as a percentage
  2. Derive theoretical nil-paid rights value

    • Theoretical value per right = (Cum-rights price − Subscription price) / (Rights ratio + 1)
    • Alternative: TERP − Subscription price (value of one right when one right is needed per new share)
    • Confirm which formula applies based on the specific rights ratio structure
  3. Assess subscription premium / discount

    • Compare the subscription price to TERP — a deeper discount incentivizes take-up
    • Flag if discount is unusually shallow (<10%) as this increases non-exercise risk and rights value volatility
  4. Model arbitrage P&L scenarios

    • Fully hedged arbitrage: Buy nil-paid rights, subscribe for shares, short sell equivalent shares at TERP or market price; P&L = market price of rights vs. theoretical value minus borrow cost, execution slippage, and fees
    • Unhedged participation: Subscribe and hold — model upside/downside to TERP under bull/bear share price scenarios
    • Rights sale: Sell nil-paid rights in the market — compare to theoretical value and factor in liquidity discount
  5. Run dilution and ownership analysis

    • Model post-offering ownership for participating vs. non-participating shareholders
    • Calculate wealth transfer from non-exercising to exercising shareholders
    • If an activist holds a disclosed stake, model their post-offering ownership under full exercise, partial exercise, and oversubscription scenarios
  6. Sensitivity analysis

    • Vary cum-rights share price (±5%, ±10%, ±20%) and recalculate TERP, nil-paid value, and arbitrage P&L
    • Vary take-up rate (70%, 85%, 100%) to assess oversubscription allocation and backstop exposure
    • Stress-test borrow cost assumptions for the short leg of the hedge
  7. Timeline and execution risk

    • Map key dates to identify the subscription window and settlement lag
    • Flag jurisdictional restrictions on rights trading or short selling [VERIFY]
    • Note any regulatory approvals required before closing (e.g., antitrust, banking regulator capital approval) [VERIFY]

Output

  • TERP summary table: Cum-rights price, subscription price, rights ratio, TERP, TERP discount %, theoretical nil-paid value
  • Arbitrage P&L matrix: Scenarios across share price movements and take-up rates, showing gross and net P&L per share/right
  • Dilution waterfall: Pre- and post-offering share counts, ownership percentages for key holders, and wealth transfer to/from non-exercisers
  • Key dates timeline: Record date through settlement, with trading windows for nil-paid rights
  • Risk flags: Liquidity of nil-paid rights market, borrow availability for hedging, regulatory or jurisdictional constraints, backstop counterparty risk

Quality Checks

  • Confirm TERP is between the subscription price and cum-rights price — if not, recheck inputs
  • Verify nil-paid rights value is positive; a negative value implies subscription price exceeds cum-rights price (a deeply distressed scenario requiring separate analysis)
  • Cross-check total offering proceeds = subscription price × new shares issued
  • Ensure dilution math reconciles: new shares / (existing + new) = dilution percentage
  • Validate that arbitrage P&L accounts for all friction costs (borrow, commissions, FX if cross-listed)
  • If nil-paid rights are trading, compare theoretical value to market price and explain any material divergence (liquidity premium, time value, hedging demand)
  • Mark any jurisdiction-specific tax treatment of rights (e.g., CGT treatment of nil-paid rights sales) 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 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