preparing-event-driven-investment-cases
Structures event-driven investment recommendations with catalyst identification, timeline analysis, and risk/reward framework for portfolio allocation. Use when preparing event-driven cases, documenting catalyst theses, or presenting special situation opportunities.
Best use case
preparing-event-driven-investment-cases is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures event-driven investment recommendations with catalyst identification, timeline analysis, and risk/reward framework for portfolio allocation. Use when preparing event-driven cases, documenting catalyst theses, or presenting special situation opportunities.
Teams using preparing-event-driven-investment-cases 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/preparing-event-driven-investment-cases/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How preparing-event-driven-investment-cases Compares
| Feature / Agent | preparing-event-driven-investment-cases | 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?
Structures event-driven investment recommendations with catalyst identification, timeline analysis, and risk/reward framework for portfolio allocation. Use when preparing event-driven cases, documenting catalyst theses, or presenting special situation opportunities.
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
# Preparing Event Driven Investment Cases ## When To Use - Building an investment case around a specific corporate event (merger, spin-off, restructuring, bankruptcy emergence, activist campaign, tender offer, rights offering) - Documenting a catalyst thesis for investment committee presentation or LP communication - Evaluating special situation opportunities where value realization depends on a discrete event rather than ongoing earnings growth - Preparing position sizing rationale tied to event probability and timeline ## Inputs To Gather - **Event identification**: Type of event (M&A, spin-off, recap, litigation resolution, regulatory decision, activist engagement), current status, and key dates - **Security details**: Target company ticker, current price, market cap, capital structure (debt tranches, preferred, warrants, converts) - **Source documents**: Merger proxy/S-4, 13D/13F filings, court dockets (for bankruptcy/litigation), SEC filings, activist presentation decks - **Comparable precedents**: Prior similar events in the sector — deal premiums, timelines, completion rates - **Market data**: Implied probability from spread levels, options pricing, CDS spreads, borrow cost - **Stakeholder map**: Board composition, shareholder register (institutional ownership, activist positions, insider holdings), regulatory bodies with jurisdiction ## Workflow 1. **Classify the event type and stage** — Determine whether the situation is pre-announcement (anticipatory), announced (spread-based), or post-close (stub/reorganized equity). This drives the entire analytical framework. 2. **Map the catalyst chain** — Identify the sequence of events required for value realization. For each catalyst node, specify: - What must happen (e.g., shareholder vote, regulatory clearance, court confirmation) - Expected date or date range - Binary vs. continuous outcome - Probability estimate with rationale 3. **Build the base-case valuation** — Quantify the target price under the expected event outcome: - M&A: Deal terms, proration mechanics, collar/CVR structures, tax treatment - Spin-offs: Sum-of-parts using peer multiples for RemainCo and SpinCo; estimate index selling/buying pressure - Restructurings: Recovery analysis by tranche using enterprise value waterfall; fulcrum security identification - Activist situations: Quantify value uplift from proposed actions (asset sales, margin improvement, capital return) [VERIFY: activist's track record on comparable campaigns] 4. **Define scenarios and assign probabilities** — Construct at minimum: - **Bull case**: Event completes on favorable terms or activist achieves full platform - **Base case**: Event completes with expected friction/delay - **Bear case**: Event breaks or fails; quantify downside to unaffected price or liquidation value - Calculate probability-weighted expected return 5. **Analyze the timeline and carry** — Map expected holding period. Factor in: - Cost of carry (borrow cost for hedged positions, opportunity cost) - Annualized return at each scenario - Optionality value if timeline extends 6. **Structure the risk/reward framework** — Present: - Upside/downside ratio at current entry price - Maximum drawdown scenario and loss limit - Key risk factors: antitrust risk [VERIFY: HSR/regulatory jurisdiction], financing conditionality, MAC clause exposure, litigation risk, political/regulatory intervention - Hedging approach (pair trades, put spreads, CDS) 7. **Draft the position sizing recommendation** — Tie conviction level to allocation: - High conviction (>70% probability-weighted upside): full position - Moderate conviction: half position or express via options - Specify entry levels, averaging plan, and hard stop-loss 8. **Compile the investment case memo** — Assemble all sections into a structured document for IC review. ## Output The deliverable is a structured event-driven investment case containing: - **Executive summary**: One-paragraph thesis with event type, expected return, timeline, and conviction level - **Situation overview**: Event description, key parties, current status, and background - **Catalyst timeline**: Visual or tabular timeline with dates, events, and probability gates - **Valuation analysis**: Scenario table with target prices, probabilities, and weighted expected return - **Risk matrix**: Key risks ranked by impact and likelihood, with mitigants and hedges - **Position recommendation**: Entry price, size, instrument selection (equity, options, debt, CDS), and exit triggers - **Appendix**: Source filing references, comparable event data, capital structure detail ## Quality Checks - Every probability estimate is accompanied by explicit rationale — no unsupported numbers - Downside scenario is fully modeled (not just "we lose the spread") with specific unaffected price analysis - Timeline accounts for realistic regulatory and legal process durations [VERIFY: jurisdiction-specific regulatory review periods] - Capital structure is current and complete — confirm no missed converts, warrants, or preferred tranches - Spread/return calculations are verified for deal terms (proration, elections, CVR assumptions, tax treatment) - All filing dates and deadlines are cross-referenced against primary sources (SEC EDGAR, court dockets) - Conflict check: confirm no restricted list issues or information barrier concerns before circulating - Document distinguishes clearly between public information analysis and any material non-public information considerations
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