creating-financial-models

To build a DCF valuation model, you input historical financials and projection assumptions for revenue growth, margins, and capex. The model computes WACC using CAPM inputs and calculates enterprise value by discounting projected free cash flows using either a perpetuity growth or exit multiple terminal value method.

Sensitivity analysis in financial modeling quantifies how changes in key drivers like WACC, terminal growth, and EBITDA margins propagate to valuation outcomes. It evaluates assumption uncertainty by generating two-variable sensitivity tables to show how DCF results shift under varying conditions.

Yes, you can use Monte Carlo simulation for scenario planning in corporate valuation and M&A modeling. The framework provides structural tooling to evaluate assumption uncertainty via simulation-style workflows and generates probability-weighted scenario results for investment decisions.

To project enterprise free cash flow for an LBO style model, you need historical financials and specific projection assumptions including revenue growth, EBITDA margin, tax rate, capex, net working capital (NWC), and terminal growth rate. These inputs drive the discounted cash flow calculations.

The best way to stress test investment decisions using DCF analysis is by running Monte Carlo simulations and two-variable sensitivity tables on key assumptions. This approach triangulates growth, margins, WACC, and terminal value methods to identify top value drivers and assess risk posture under adverse conditions.