casemark/modeling-merger-arbitrage-spreads

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]