Analyzing Share Class Arbitrage

SkillDev tools

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.

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What this skill tells your AI

The instructions your AI receives, as published by casemark/skills in skills/capital/analyzing-share-class-arbitrage/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
41
Forks
15
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
analyzing-share-class-arbitrage
Source
github.com/casemark/skills