Returns Analysis

Compute IRR and MOIC sensitivity matrices from private equity deal inputs.

4|1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/pynbj1001/alpha-sense --skill returns-analysis-pynbj1001
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Returns Analysis
Source: https://github.com/pynbj1001/alpha-sense/tree/main/.github/skills/fsp-private-equity-returns-analysis
Command: npx skills add https://github.com/pynbj1001/alpha-sense --skill returns-analysis-pynbj1001

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tool solves the need to quickly model and stress-test private equity deal returns (IRR and MOIC) across multiple scenarios.

Core Features & Use Cases

  • Base-case returns computation for Entry EV/EBITDA, leverage, and exit multiple.
  • Two-way and multi-scenario sensitivity analysis showing drivers of value.
  • Use Case: assess deal attractiveness, IC materials, and investment decision-making.

Quick Start

Provide the deal inputs and run the model to generate IRR/MOIC sensitivity tables and the outputs workbook.

Frequently Asked Questions about Returns Analysis

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

FAQPage Schema
How do I calculate IRR and MOIC sensitivity for private equity deals?

To calculate IRR and MOIC sensitivity, you provide deal inputs like entry EV/EBITDA, leverage, and exit multiple, and the model generates base-case returns and sensitivity matrices for scenario planning.

Can I run scenario analysis for PE deal sizing and IC preparation?

Yes, scenario analysis for PE deal sizing and IC preparation is supported by computing returns across multiple scenarios and outputting an executable workbook and summary for investment decision-making.

What financial modeling inputs are needed to stress-test private equity returns?

Stress-testing private equity returns requires financial modeling inputs including entry EV/EBITDA, leverage, growth assumptions, hold period, and exit multiple to build the sensitivity matrices.

Does this returns analysis tool support two-way sensitivity tables for entry and exit multiples?

Yes, the returns analysis tool supports two-way and multi-scenario sensitivity analysis, showing drivers of value by varying entry EV/EBITDA, leverage, and exit multiples to assess deal attractiveness.

What is the best way to model base-case returns for a leveraged buyout?

Modeling base-case returns for a leveraged buyout involves collecting deal inputs to compute initial IRR and MOIC, which then serve as the foundation for building sensitivity tables and stress-testing scenarios.