returns-analysis

Model IRR and MOIC sensitivity across deal structures and operating assumptions.

3|Updated May 30, 2026
One-click install
npx skills add https://github.com/Timmy6942025/open-financial-agents --skill returns-analysis-timmy6942025
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: returns-analysis
Source: https://github.com/Timmy6942025/open-financial-agents/tree/main/src/agent-skills/valuation-reviewer/skills/returns-analysis
Command: npx skills add https://github.com/Timmy6942025/open-financial-agents --skill returns-analysis-timmy6942025

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a streamlined method to build IRR/MOIC sensitivity tables for private equity deal evaluation, offering insights into various return scenarios based on entry multiple, leverage, exit multiple, growth, and hold period assumptions.

Core Features & Use Cases

  • IRR/MOIC Sensitivity Analysis: Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios.
  • Use Case: Ideal for sizing up deals, stress-testing assumptions, or preparing investor returns exhibits. Trigger the skill by using commands like "returns analysis", "IRR sensitivity", or "model the returns".

Quick Start

To perform a returns analysis, use the command: "model the returns for a PE deal with an entry multiple of 8x, leverage of 5x, and a growth rate of 15%".

Frequently Asked Questions about returns-analysis

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

FAQPage Schema
How do I model IRR and MOIC sensitivity for a private equity deal?

To model IRR and MOIC sensitivity for a private equity deal, input your assumptions for entry and exit multiples, leverage, growth rates, and hold periods to generate returns sensitivity tables. This process outputs varying return scenarios for deal evaluation and stress testing.

What inputs are required to build an IRR sensitivity table for PE deal evaluation?

Building an IRR sensitivity table requires inputs for entry and exit multiples, leverage, growth rates, and hold periods. Providing these operating assumptions allows the analysis to model returns and stress test the private equity deal structure effectively.

Can I stress test private equity returns using varying entry multiples and leverage assumptions?

Yes, you can stress test private equity returns by adjusting entry multiples and leverage assumptions. The sensitivity analysis models IRR and MOIC across these varying deal structures and operating assumptions to evaluate returns under different financial scenarios.

What is the best way to generate MOIC sensitivity scenarios for investor reporting?

The best way to generate MOIC sensitivity scenarios for investor reporting is modeling returns across growth rates and hold periods. This approach produces sensitivity tables based on entry and exit multiples, offering insights into various return exhibits for investors.

Does this sensitivity analysis work for both short and long hold period assumptions?

Yes, this sensitivity analysis works for varying hold period assumptions. By adjusting the hold period input alongside entry and exit multiples, leverage, and growth rates, you can effectively model IRR and MOIC returns for different private equity deal timelines.