Analyzing Tender Offer Economics

SkillDev tools

Evaluates tender offer structures with premium analysis, proration risk, and conditional tender strategies. Use when analyzing tender offers, calculating tender economics, or evaluating proration scenarios.

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What this skill tells your AI

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

Evaluates tender offer structures including premium/discount analysis, proration mechanics, conditional tender strategies, and expected-value modeling for event-driven investment decisions.

When To Use

  • A company or activist announces a tender offer (self-tender, third-party, or Dutch auction) and you need to quantify the trade
  • Evaluating whether to tender shares, hold through expiration, or trade around the offer
  • Modeling proration outcomes when the offer is oversubscribed or partial
  • Comparing conditional vs. unconditional tender strategies
  • Assessing odd-lot exemptions, back-end merger terms, or two-tier offer structures

Inputs To Gather

  • Offer terms: Price per share (or price range for Dutch auction), number of shares sought, minimum/maximum conditions, expiration date and extension provisions
  • Current market data: Undisturbed price (pre-announcement), current trading price, 30/60/90-day VWAP, shares outstanding, public float
  • Ownership structure: Top holders and known tender intentions, insider ownership, index fund holdings (typically do not tender), short interest
  • Conditions: Minimum tender condition (e.g., majority of outstanding), financing condition, regulatory approvals, MAC clauses
  • Back-end terms: If two-tier, what consideration applies to non-tendered shares; merger agreement terms if applicable
  • Timeline: Offer launch date, initial expiration, any extension rights, expected regulatory review period [VERIFY against current SEC Rule 14e-1 timing requirements]

Workflow

  1. Calculate the gross spread

    • Gross spread = Offer price − Current market price
    • Annualize the spread: (Gross spread / Current price) × (365 / Days to expected close)
    • Compare offer premium to undisturbed price, 30-day VWAP, and 52-week high/low
  2. Model proration risk

    • Estimate total shares likely tendered: start with float, subtract likely non-tenderers (index funds ~unlikely to tender in partial offers, insiders with lock-ups, short sellers)
    • Proration factor = Shares sought / Estimated shares tendered
    • If proration factor < 1.0, calculate blended return: (Proration % × Offer price) + ((1 − Proration %) × Expected back-end price)
    • Sensitivity-test proration at 60%, 70%, 80%, 90% participation rates
  3. Evaluate conditional tender strategies

    • Odd-lot tenders (< 100 shares): determine if odd-lot exemption applies — if so, odd lots avoid proration [VERIFY: confirm offer documents specify odd-lot priority]
    • Conditional tenders: model the payoff if you set a minimum acceptance condition (e.g., "I tender only if proration ≥ 80%") — reduces downside if proration is severe but risks missing the offer entirely
    • Guaranteed delivery procedures: note deadlines for late tenders
  4. Assess deal-break/extension scenarios

    • Probability-weight outcomes: (P(completion) × Tendered return) + (P(failure) × Post-break price)
    • Estimate post-break price using pre-announcement level, peer multiples, or stated activist floor
    • Factor in extension risk: each extension delays the annualized return; model 1–2 extensions
  5. Analyze two-tier and squeeze-out economics

    • If back-end merger at same price: tender is economically neutral except for time-value
    • If back-end at lower price or uncertain: quantify the penalty for non-tender
    • Appraisal rights: note jurisdiction and whether appraisal arbitrage is viable [VERIFY: state appraisal statute — Delaware § 262 vs. other jurisdictions]
  6. Compile expected-value summary

    • Build a scenario table: Bull (high proration, quick close), Base, Bear (low proration, extensions, or deal break)
    • Assign probabilities and calculate weighted expected return
    • Express as annualized return and absolute dollar P&L per share

Output

  • Premium analysis table: Offer price vs. undisturbed, VWAP, 52-week range — with percentage premiums
  • Proration sensitivity matrix: Expected blended return at varying participation rates
  • Scenario-weighted expected value: Bull / Base / Bear with probabilities, per-share returns, and annualized returns
  • Strategy recommendation: Tender unconditionally, tender conditionally (with threshold), hold for back-end, or avoid — with rationale
  • Risk factors: Key conditions that could alter the analysis (regulatory, financing, minimum condition waiver)
  • Timeline: Key dates with days-to-close assumptions

Quality Checks

  • Confirm offer price and share counts match the Schedule TO or Offer to Purchase filing [VERIFY against SEC EDGAR filings]
  • Validate that proration math accounts for shares sought, not total outstanding
  • Ensure annualized return calculations use realistic close dates (not just the initial expiration)
  • Cross-check odd-lot exemption applicability — not all tender offers include it
  • Verify minimum condition threshold and whether the offeror has discretion to waive it
  • Flag any regulatory approvals (HSR, CFIUS, sector-specific) that could delay or block completion [VERIFY]
  • Confirm back-end merger terms are sourced from the definitive agreement, not press release summaries

Signals

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