Financial Modeling Workbook with Excel: Build 3-Statement Financial Models & DCF Valuations Step by Step with Practical Exercises, Templates, and Real-World Examples

Transform Your Financial Modeling Skills with Excel — Step by Step

Are you an MBA student, CFA candidate, investment banking analyst, or corporate finance professional looking to master financial modeling in Excel? This hands-on financial modeling workbook teaches you how to build professional 3-statement models and DCF valuations from scratch, using clear instructions, practical exercises, and real-world frameworks.

Unlike theory-heavy textbooks, this workbook is designed for learning by doing. Each chapter walks you through Excel-based financial models used in investment banking, corporate finance, and valuation roles — no prior modeling experience required.

What You'll Learn Inside:

✔ How to structure a clean, professional financial model in Excel ✔ Build fully integrated income statement, balance sheet, and cash flow models ✔ Forecast revenues, expenses, and working capital step by step ✔ Perform discounted cash flow (DCF) valuation with sensitivity analysis ✔ Apply Excel best practices used by analysts and finance teams ✔ Avoid common modeling errors and improve model accuracy

What Makes This Workbook Different:

✔ Step-by-step Excel tutorials you can follow along ✔ Practice exercises with increasing difficulty ✔ Downloadable Excel templates for real-world use ✔ Clear explanations without unnecessary theory ✔ Designed for finance interviews and on-the-job performance

Who This Book Is For:

• Investment banking and corporate finance analysts • MBA students and CFA candidates • FP&A and valuation professionals • Consultants and entrepreneurs raising capital • Anyone learning financial modeling in Excel

Whether you are preparing for finance interviews, upgrading your Excel skills, or building models for real business decisions, this workbook gives you a practical, job-ready foundation in financial modeling.

© 2025 Sankar Srinivasan FA (E-bog): 6610001132521

Udgivelsesdato

E-bog: 30. december 2025