merger-arb

Decompose merger arbitrage spreads and extract market-implied probabilities.

2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/tmcga/alpha-stack --skill merger-arb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: merger-arb
Source: https://github.com/tmcga/alpha-stack/tree/main/skills/merger-arb
Command: npx skills add https://github.com/tmcga/alpha-stack --skill merger-arb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a rigorous, end-to-end framework for analyzing merger arbitrage and event-driven corporate actions by decomposing spreads into edge components and translating qualitative risk assessments into quantitative probabilities.

Core Features & Use Cases

  • Spread decomposition: compute gross and annualized spreads, separate deal-break, time value, financing cost, and residual market risk components.
  • Probability & EV modeling: estimate P(close), extract market-implied probability, compute edge, and evaluate expected value under multiple scenarios.
  • Sizing, hedging & structures: apply Kelly sizing for binary outcomes, model stock-for-stock hedges, and handle complex structures (CVR, collars, spin-offs, activist campaigns, tender offers, rights issues).
  • Portfolio planning & risk controls: assemble a diversified event book (20-40 positions), perform stress tests, monitor correlation and beta, and enforce portfolio constraints.
  • Trade-ticket generation: produce standardized event-driven trade tickets with deal terms, risk scores, sizing, hedges, milestones, and monitoring timelines.

Quick Start

Analyze a newly announced deal using the full framework, decompose the spread, score risk factors, size with Kelly, model hedges, and generate a trade ticket.

Frequently Asked Questions about merger-arb

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate merger arbitrage spreads and market-implied probabilities?

Merger arbitrage spread decomposition calculates gross and annualized spreads, then extracts market-implied probabilities by separating deal-break risk, time value, financing costs, and residual market risk to evaluate expected value across multiple scenarios.

How do I size event-driven trades using Kelly criterion for binary outcomes?

Kelly sizing for binary event-driven outcomes calculates optimal position weights based on the estimated probability of deal close and the expected value, generating a portfolio-ready trade ticket with specific risk scores and hedge structures.

Can I analyze complex merger structures like CVRs, collars, and spin-offs?

Yes, the framework handles cash, stock-for-stock, CVR, collar structures, spin-offs, activist campaigns, tender offers, and rights issues by modeling stock-for-stock hedges and extracting market-implied probabilities for each specific deal type.

What is the best way to manage risk in a merger arbitrage portfolio?

Risk management in a merger arbitrage portfolio involves assembling a diversified event book of 20-40 positions, performing stress tests, monitoring correlation and beta, and enforcing portfolio constraints to control deal-break and residual market risk.

Does merger arbitrage modeling work for activist campaigns and tender offers?

Merger arbitrage modeling applies to activist campaigns and tender offers by decomposing event-driven spreads, scoring risk factors, calculating enterprise value, and generating standardized trade tickets with monitoring timelines and milestones.