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.
Best use case
analyzing-share-class-arbitrage is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using analyzing-share-class-arbitrage should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-share-class-arbitrage/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-share-class-arbitrage Compares
| Feature / Agent | analyzing-share-class-arbitrage | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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