Skip to content
cccskills
FreePublished on GitHub

analyzing-share-class-arbitrage

Evaluates dual-class share structures with discount analysis, unification catalysts, and governance reform probability assessment. Use when analyzing share class spreads, evaluating unification likelihood, or assessing dual-class dynamics.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md6.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Analyzing Share Class Arbitrage

Evaluates dual-class share structures with discount analysis, unification catalysts, and governance reform probability assessment.

When To Use

  • Assessing the spread between voting and non-voting (or limited-voting) share classes for a potential arbitrage position
  • Evaluating whether a dual-class unification is likely and pricing the probability-weighted upside
  • Analyzing governance reform catalysts (activist campaigns, index inclusion pressure, regulatory changes, founder transitions)
  • Screening for share class discount compression opportunities across a universe of dual-class issuers
  • Supporting an activist thesis that includes a unification demand or governance simplification proposal

Inputs To Gather

  • Share class structure: Number of classes, voting rights per share, economic rights per share, conversion ratios, and any sunset provisions [VERIFY sunset clause details against charter/articles]
  • Market data: Current prices for each share class, historical spread (3-year minimum), trading volumes, and float for each class
  • Ownership breakdown: Insider/founder voting control percentage, institutional ownership by class, index fund holdings
  • Corporate governance documents: Articles of incorporation, bylaws, any shareholder agreements governing class conversion or unification [VERIFY jurisdiction-specific rules on charter amendments]
  • Catalyst timeline inputs: Founder age/succession planning signals, upcoming index rebalancing dates, pending regulatory proposals (e.g., stock exchange listing standard changes), activist 13D/13F filings
  • Comparable transactions: Prior unification transactions in the same sector or jurisdiction, including exchange ratios and premiums paid

Workflow

  1. Map the share class structure

    • Document each class's voting power, economic entitlement, and conversion mechanics
    • Identify any automatic sunset triggers (time-based, ownership threshold, death/incapacity of founder)
    • Flag any anti-unification provisions (supermajority vote requirements, board-only conversion authority)
  2. Calculate the current discount and historical range

    • Compute the non-voting (or low-vote) discount: (Price_High_Vote - Price_Low_Vote) / Price_High_Vote
    • Chart the discount over 1-, 3-, and 5-year windows to identify trend direction
    • Benchmark against peer dual-class issuers in the same sector and market cap range
  3. Identify and score unification catalysts

    • For each potential catalyst, assign a probability estimate (low / medium / high) and expected time horizon:
      • Founder transition: Aging founder, succession planning announcements, estate planning signals
      • Index pressure: Exclusion from or conditional inclusion in major indices (S&P 500, FTSE Russell) [VERIFY current index provider policies on dual-class eligibility]
      • Activist engagement: Existing 13D filings, proxy contest history, public letter campaigns
      • Regulatory/exchange action: Proposed listing standard changes, SEC rulemaking
      • Capital markets need: Company likely to issue equity, pursue M&A, or seek debt refinancing where simplified structure helps
    • Weight each catalyst by its historical success rate in comparable situations
  4. Model the unification economics

    • Estimate the likely exchange ratio (typically 1:1, but review precedent transactions for premium/discount adjustments)
    • Calculate the probability-weighted return: Expected Return = P(unification) × (Upside at unification) - (1 - P(unification)) × (Carry cost + Discount drift risk)
    • Sensitivity-test key assumptions: probability of unification, time to unification, and exchange ratio
    • Factor in dividend differentials between classes (if any) as carry income or cost
  5. Assess risks and friction

    • Controlling shareholder blocking power: Can insiders single-handedly block a charter amendment? [VERIFY vote threshold requirements under applicable state/country corporate law]
    • Liquidity risk: Low-float share classes may have wide bid-ask spreads and slippage on exit
    • Time decay: Opportunity cost if the discount persists for years without a catalyst
    • Adverse selection: Insiders may have informational advantages about the likelihood of unification
  6. Formulate the trade structure

    • Long the discounted class / short the premium class (classic convergence trade), or
    • Outright long the discounted class with a catalyst thesis (directional)
    • Size the position relative to liquidity constraints and portfolio risk limits

Output

The deliverable is a Share Class Arbitrage Analysis Report containing:

  • Executive summary: Ticker, share classes analyzed, current discount, top catalyst, and recommendation (trade / monitor / pass)
  • Structure overview table: Side-by-side comparison of each class (votes, economics, conversion rights, float, volume)
  • Discount analysis: Current level, historical range, percentile ranking, peer comparison chart
  • Catalyst scorecard: Each catalyst rated by probability, timing, and impact, with an aggregate unification probability estimate
  • Return model: Base, bull, and bear scenario returns with explicit assumptions for each
  • Risk matrix: Key risks ranked by severity and likelihood, with mitigants identified
  • Trade recommendation: Entry structure, sizing guidance, target exit levels, and stop-loss parameters

Quality Checks

  • Confirm all voting and economic rights are sourced from the actual charter or articles of incorporation, not secondary summaries
  • Verify that the discount calculation uses contemporaneous pricing (same date/time for both classes)
  • Ensure catalyst probabilities are grounded in comparable precedent transactions, not arbitrary estimates
  • Check that the return model accounts for borrow costs (if shorting the premium class) and dividend differentials
  • Validate that jurisdiction-specific vote thresholds for charter amendments are correctly applied [VERIFY]
  • Confirm no stale data: index policy dates, activist filing dates, and founder biographical details should be current
  • Flag any situation where the analysis relies on a single catalyst — diversified catalyst support strengthens conviction

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

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.

The English summary is being prepared. Showing the original description.

CaseMark/skills46Updated Oct 17, 2026

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.

The English summary is being prepared. Showing the original description.

CaseMark/skills46Updated Oct 17, 2026

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.

The English summary is being prepared. Showing the original description.

CaseMark/skills46Updated Oct 17, 2026

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.

The English summary is being prepared. Showing the original description.

CaseMark/skills46Updated Oct 17, 2026

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.

The English summary is being prepared. Showing the original description.

CaseMark/skills46Updated Oct 17, 2026

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.

The English summary is being prepared. Showing the original description.

CaseMark/skills46Updated Oct 17, 2026

See all skills by CaseMark

Report a problem with this skill