Is this suitable for startup or growth-stage valuations?

Yes, it specifically supports growth company modeling including J-curve projections, terminal value calculations via exit multiples, and scenario planning for high-uncertainty environments.

How does the Monte Carlo simulation handle uncertainty?

It runs between 1,000 and 10,000 iterations based on defined probability distributions for variables like revenue growth and margins to calculate confidence intervals for valuations.

What types of valuation methodologies are supported?

The suite supports Discounted Cash Flow (DCF), Leveraged Buyout (LBO), M&A accretion/dilution, and project finance modeling using industry-standard methodologies.

Can this skill generate actual Excel files?

Yes, the skill includes scripts and output formats designed to generate structured Excel workbooks with full financial models and linked formulas.

Financial Modeling Suite

Name: Financial Modeling Suite
Author: Microck

byMicrock

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数据科学与机器学习

Generates sophisticated financial models including DCF analysis, Monte Carlo simulations, and sensitivity testing for investment decision-making.

关于

The Financial Modeling Suite is a comprehensive toolkit designed to streamline valuation and risk assessment processes within Claude. It enables users to build industry-standard Discounted Cash Flow (DCF) models, execute complex Monte Carlo simulations with thousands of iterations, and perform multi-variable sensitivity analysis. Whether analyzing corporate valuations, project finance, or M&A opportunities, this skill provides the structured frameworks and calculation engines necessary to produce professional-grade financial projections, risk-adjusted insights, and automated Excel-compatible workbooks.

主要功能

Probabilistic Monte Carlo simulations for comprehensive risk assessment
81 GitHub stars
Multi-scenario planning for best, base, and worst-case outcome analysis
Automated sensitivity testing and tornado chart generation
Advanced DCF analysis with WACC calculation and terminal value modeling
Excel-compatible financial projections and automated reconciliation checks

使用场景

Running stress tests on project finance models for infrastructure or real estate developments
Conducting accretion/dilution analysis and synergy modeling for M&A transactions
Valuing growth-stage companies using J-curve projections and risk-adjusted discount rates

关于

主要功能

Probabilistic Monte Carlo simulations for comprehensive risk assessment
81 GitHub stars
Multi-scenario planning for best, base, and worst-case outcome analysis
Automated sensitivity testing and tornado chart generation
Advanced DCF analysis with WACC calculation and terminal value modeling
Excel-compatible financial projections and automated reconciliation checks

使用场景

Running stress tests on project finance models for infrastructure or real estate developments
Conducting accretion/dilution analysis and synergy modeling for M&A transactions
Valuing growth-stage companies using J-curve projections and risk-adjusted discount rates