modeling-merger-arbitrage-spreads
Calculates merger arb risk/reward with annualized spread, deal break probability, and downside scenario analysis. Use when analyzing merger arb, calculating spread returns, or evaluating deal completion probability.
Best use case
modeling-merger-arbitrage-spreads is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Calculates merger arb risk/reward with annualized spread, deal break probability, and downside scenario analysis. Use when analyzing merger arb, calculating spread returns, or evaluating deal completion probability.
Teams using modeling-merger-arbitrage-spreads 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/modeling-merger-arbitrage-spreads/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How modeling-merger-arbitrage-spreads Compares
| Feature / Agent | modeling-merger-arbitrage-spreads | 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?
Calculates merger arb risk/reward with annualized spread, deal break probability, and downside scenario analysis. Use when analyzing merger arb, calculating spread returns, or evaluating deal completion probability.
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
# Modeling Merger Arbitrage Spreads ## When To Use - Evaluating risk/reward on an announced merger or acquisition before entering an arb position - Sizing existing positions by quantifying annualized return vs. deal-break downside - Comparing multiple pending deals to allocate capital across a merger arb book - Stress-testing a deal's attractiveness under varying close timelines or regulatory outcomes - Reviewing a deal after material developments (amended terms, regulatory challenge, competing bid) ## Inputs To Gather - **Deal terms**: Offer price (cash, stock, or mixed consideration), exchange ratio (if stock deal), collar provisions, CVRs or earnouts, election mechanics - **Current market prices**: Target current trading price, acquirer current price (for stock deals) - **Timeline**: Announcement date, expected close date, outside date / drop-dead date, key regulatory milestones (HSR expiry, EC Phase I/II deadlines, CFIUS review windows) [VERIFY jurisdiction-specific regulatory timelines] - **Deal break probability estimate**: Base rate from comparable deal universe, adjusted for deal-specific factors (regulatory risk, financing conditions, shareholder vote risk, MAC clause breadth) - **Downside price (deal-break scenario)**: Target's unaffected pre-announcement price, comparable trading multiples, analyst consensus standalone valuation - **Financing & cost of carry**: Borrow cost for short leg (stock deals), dividend expectations on both legs, margin/capital requirements - **Risk-free rate**: Current Treasury yield matching expected deal duration for annualization benchmark ## Workflow 1. **Calculate gross spread** - Cash deal: `(Offer Price − Target Price) / Target Price` - Stock deal: `(Exchange Ratio × Acquirer Price − Target Price) / Target Price` - Mixed consideration: weight cash and stock components proportionally - Adjust for dividends receivable/payable during holding period and short borrow costs (stock deals) 2. **Annualize the spread** - Estimate days to close from current date to expected completion - `Annualized Spread = Gross Spread × (365 / Days to Close)` - Flag deals where annualized spread is below risk-free rate as potentially mispriced or low-risk consensus deals 3. **Estimate deal break probability** - Start with historical base rate for deal type (e.g., strategic cash deals ~3-5%, cross-border with antitrust review ~8-15%) [VERIFY against current deal completion databases] - Adjust upward/downward for: regulatory complexity, financing conditionality, bidder strategic commitment, target board unanimity, shareholder composition, litigation risk - Document the rationale for each adjustment explicitly 4. **Model downside scenario** - Determine target's standalone value absent the deal (pre-announcement price, peer-group multiples, DCF if available) - `Downside Loss = (Target Price − Standalone Value) / Target Price` - For stock deals, also estimate acquirer price recovery on deal break (acquirer often rises) 5. **Calculate expected return** - `Expected Return = (Probability of Close × Gross Spread) − (Probability of Break × Downside Loss)` - `Annualized Expected Return = Expected Return × (365 / Days to Close)` - Compare against hurdle rate and portfolio opportunity cost 6. **Run sensitivity analysis** - Vary deal break probability in increments (e.g., 5%, 10%, 15%, 20%, 30%) - Vary days to close (base case, +30 days, +90 days for regulatory delay) - Vary downside price (−5%, −10%, −15% from current standalone estimate) - Identify breakeven deal break probability where expected return = 0 7. **Assess deal-specific risk factors** - Antitrust: market concentration, overlapping product lines, jurisdiction (DOJ/FTC, EC, CMA, SAMR) [VERIFY relevant regulatory bodies] - Financing: committed vs. uncommitted financing, market conditions, material adverse change triggers - Shareholder vote: required approval thresholds, activist or dissenting shareholder positions - Competing bids: likelihood of topping bid, break-up fee magnitude as % of deal value ## Output - **Spread summary table**: Current spread (%), annualized spread (%), days to expected close, gross P&L per share - **Probability-weighted return**: Expected return at base-case break probability, annualized - **Sensitivity matrix**: Grid showing annualized expected return across break probability × days to close combinations - **Breakeven analysis**: Deal break probability at which expected return reaches zero - **Risk factor scorecard**: Qualitative assessment (Low / Medium / High) for each major risk category with brief rationale - **Position sizing implication**: Suggested position weight relative to portfolio given Kelly-style or risk-parity framework (flagged as illustrative, not a recommendation) ## Quality Checks - Verify that gross spread calculation matches observable market data (cross-check with broker or data terminal quotes) - Confirm annualized spread uses calendar days and accounts for any known interim milestones that may accelerate or delay close - Ensure downside estimate is grounded in pre-announcement trading levels or fundamental valuation, not arbitrary haircuts - Check that deal break probability adjustments are directionally consistent and documented with reasoning - Validate that sensitivity ranges cover plausible tail scenarios, not just narrow base-case variations - For stock deals, confirm exchange ratio type (fixed vs. floating) and collar bounds are correctly modeled [VERIFY deal-specific merger agreement terms] - Flag any assumption that relies on a single data source or undisclosed estimate with [VERIFY]