Corporate Valuation
A Practical Guide for Executives
About This Book
Corporate valuation is the cornerstone of strategic financial decision-making — guiding investment analysis, mergers and acquisitions, fundraising, and shareholder communication. This web-first book is designed to equip MBA students and executives with a practical, hands-on understanding of how companies are valued in real-world contexts.
Moving beyond theoretical formulas, this course emphasizes a learn-by-doing approach: students build DCF models, perform relative valuation, conduct sensitivity analysis, and create executive dashboards using Python, Excel, Power BI, KNIME, and ChatGPT.
What You Will Learn
Valuation Foundations
Understand value concepts, financial statements, value drivers, and the Indian corporate landscape.
Financial Analysis
Compute ratios, analyze ROIC, measure economic profit, and build interactive dashboards.
Forecasting & DCF
Build time-series forecasts, Monte Carlo simulations, integrated financial models, and complete DCF valuations.
Relative & Strategic Valuation
Apply multiples, value startups and M&A deals, integrate ESG factors, and leverage AI tools.
Course Structure — 18 Chapters
| Part | Ch | Title | Key Topics |
|---|---|---|---|
| I: Valuation Foundations | 1 | Introduction to Corporate Valuation | Value concepts, book vs market value, EV vs equity value, value drivers |
| 2 | Understanding Financial Statements for Valuation | Income statement, balance sheet, cash flow adjustments | |
| 3 | Value Drivers & Financial Data Analytics with Python | yfinance, pandas, financial data extraction | |
| II: Financial Analysis & Value Drivers | 4 | Financial Ratio Analysis for Valuation | Liquidity, solvency, profitability, efficiency ratios |
| 5 | ROIC, Economic Profit & Value Creation | NOPAT, invested capital, economic value added | |
| 6 | Power BI Financial Dashboard | Interactive dashboards for management reporting | |
| III: Forecasting | 7 | Revenue & Cost Forecasting using Python | ARIMA, Prophet, regression forecasting |
| 8 | Scenario Planning & Sensitivity Analysis | Base/bull/bear cases, Monte Carlo simulation | |
| 9 | Integrated Financial Forecast Model | Linked IS/BS/CF forecast in Python | |
| IV: Cost of Capital | 10 | Risk, Return & Cost of Equity | CAPM, beta estimation, risk-return analysis |
| 11 | WACC Calculation & Automation | Cost of debt, target weights, country risk premium | |
| V: DCF Valuation | 12 | Time Value of Money & Free Cash Flow | NPV, IRR, FCFF, FCFE computation |
| 13 | Terminal Value & Enterprise Value | Perpetuity growth, exit multiple approaches | |
| 14 | Complete DCF Model & Sensitivity Analysis | End-to-end DCF, tornado charts, waterfall | |
| VI: Relative Valuation | 15 | Price Multiples: P/E, P/B & PEG Ratios | Peer selection, statistical filters |
| 16 | EV Multiples & Peer Comparison Dashboard | EV/EBITDA, EV/Sales, interactive dashboards | |
| VII: Strategic Valuation | 17 | Startup, Private Company & M&A Valuation | VC method, scorecard, synergies, control premium |
| 18 | ESG, AI Tools & Capstone Project | BRSR integration, ChatGPT, KNIME, capstone |
Tools You Will Use
Key Textbooks & References
| Code | Title | Author(s) | Edition |
|---|---|---|---|
| TB1 | Investment Valuation: Tools and Techniques for Determining the Value of Any Asset | Aswath Damodaran | 3rd Edition, 2012 |
| RB1 | Valuation: Measuring and Managing the Value of Companies | McKinsey & Co. (Koller, Goedhart, Wessels) | 7th Edition, 2020 |
| RB2 | Python for Data Analysis | Wes McKinney | 3rd Edition, 2022 |
| RB3 | Corporate Finance | Berk & DeMarzo | 5th Edition, 2020 |
| RB4 | SEBI BRSR Guidelines, Damodaran Online, NSE/BSE Annual Reports | — | Latest |