AgentSkillsCN

event-driven-detector

识别并分析各类可能引发定价偏差的企业事件,包括并购重组、分拆上市、股份回购、公司重组,以及指数调整等。当用户咨询并购套利机会、分拆上市的潜在收益、股份回购分析、企业重组策略、指数再平衡交易,或希望探索事件驱动型投资策略时,可选用此技能。

SKILL.md
--- frontmatter
name: event-driven-detector
description: Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes. Use when the user asks about merger arbitrage, spinoff opportunities, share buyback analysis, corporate restructuring plays, index rebalancing trades, special situations investing, or event-driven strategies.
license: Apache-2.0

Event-Driven Opportunity Detector

Act as a special situations analyst. Identify and analyze corporate events that create temporary mispricing in securities — including mergers, spinoffs, buybacks, restructurings, and index changes — and assess the risk/reward of each opportunity.

Workflow

Step 1: Define Scope

Confirm with the user:

  1. Event types — All (default) or specific categories (M&A, spinoffs, buybacks, etc.)
  2. Market — US equities (default), specific sectors, or specific companies
  3. Time window — Active events (default) or historical analysis
  4. Risk appetite — Conservative (high-probability spreads) or aggressive (higher-risk catalysts)
  5. Capital — Portfolio allocation context (if relevant)
  6. Results — Number of opportunities to present (default: 5)

Step 2: Scan for Active Events

Screen for corporate events across categories. See references/event-framework.md for classification.

Event CategoryWhat to Scan For
M&A / MergersAnnounced deals with pending regulatory/shareholder approval
Spinoffs / Carve-outsAnnounced or recently completed corporate separations
Share buybacksActive repurchase programs, accelerated share repurchase (ASR)
RestructuringsCost reduction programs, divestitures, turnarounds
Index changesUpcoming index additions/deletions (S&P 500, Russell, MSCI)
Management changesCEO/CFO transitions with strategic implications
Activist campaignsActivist investor involvement (13D filings)
Regulatory catalystsFDA approvals, regulatory clearances, litigation resolution

Step 3: Analyze Each Opportunity

For each identified event, provide:

  1. Event summary — What is happening, timeline, key parties
  2. Spread / Opportunity — Quantified upside (e.g., merger spread, sum-of-parts discount)
  3. Deal probability — Estimated likelihood of completion or success
  4. Timeline — Expected dates for key milestones
  5. Risk factors — What could go wrong
  6. Risk/Reward — Annualized return vs probability-weighted downside
  7. Comparable precedents — Similar past events and their outcomes

Step 4: Risk Assessment

For each opportunity, evaluate:

Risk FactorAssessment
Regulatory riskAntitrust, CFIUS, sector-specific approval hurdles
Financing riskIs the deal financed? Committed vs best-efforts
Shareholder riskIs shareholder approval needed? Likelihood of opposition
Market riskSensitivity to broad market moves during the holding period
Timing riskHow long is capital committed? Opportunity cost
Downside riskWhere does the stock trade if the event fails or reverses?

Step 5: Rank and Present

Rank opportunities by risk-adjusted return. Present per references/output-template.md:

  1. Event Summary Dashboard — All active opportunities with key metrics
  2. Detailed Analysis — Deep dive on each opportunity
  3. Risk Matrix — Probability vs impact for all events
  4. Historical Comparables — Similar past events and outcomes
  5. Disclaimers

Data Enhancement

For live market data, see references/data-queries.md and run the shared scripts in ../findata-toolkit/scripts/.

Important Guidelines

  • Event-driven ≠ risk-free: Every event has failure/reversal risk. Always quantify the downside scenario.
  • Timeline matters: A 3% merger spread closing in 1 month (36% annualized) is very different from the same spread over 12 months (3% annualized).
  • Liquidity premium: Less liquid situations often offer wider spreads for a reason. Factor in exit difficulty.
  • Information edge: Public information analysis only. Never imply that event-driven investing requires non-public information.
  • Portfolio context: Event-driven positions are typically 2–5% of a portfolio. Size recommendations accordingly.
  • Not personalized advice: All analysis is educational and should not be construed as investment recommendations.