Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Financial Modeling with Excel for Microsoft 365

You're reading from   Hands-On Financial Modeling with Excel for Microsoft 365 Build your own practical financial models for effective forecasting, valuation, trading, and growth analysis

Arrow left icon
Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803231143
Length 346 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Shmuel Oluwa Shmuel Oluwa
Author Profile Icon Shmuel Oluwa
Shmuel Oluwa
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1 – Financial Modeling Overview
2. Chapter 1: An Introduction to Financial Modeling and Excel FREE CHAPTER 3. Chapter 2: Steps for Building a Financial Model 4. Part 2 – The Use of Excel Features and Functions for Financial Modeling
5. Chapter 3: Formulas and Functions – Completing Modeling Tasks with a Single Formula 6. Chapter 4: Referencing Framework in Excel 7. Chapter 5: An Introduction to Power Query 8. Part 3 – Building an Integrated 3-Statement Financial Model with Valuation by DCF
9. Chapter 6: Understanding Project and Building Assumptions 10. Chapter 7: Asset and Debt Schedules 11. Chapter 8: Preparing a Cash Flow Statement 12. Chapter 9: Ratio Analysis 13. Chapter 10: Valuation 14. Chapter 11: Model Testing for Reasonableness and Accuracy 15. Part 4 – Case Study
16. Chapter 12: Case Study 1 – Building a Model to Extract a Balance Sheet and Profit and Loss from a Trial Balance 17. Chapter 13: Case Study 2 – Creating a Model for Capital Budgeting 18. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Data Forecasting and Segmentation Using Microsoft Excel

Fernando Roque

ISBN: 9781803247731

  • Understand why machine learning is important for classifying data segmentation
  • Focus on basic statistics tests for regression variable dependency
  • Test time series autocorrelation to build a useful forecast
  • Use Excel add-ins to run K-means without programming
  • Analyze segment outliers for possible data anomalies and fraud
  • Build, train, and validate multiple regression models and time series forecasts
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime