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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

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803231143
Length 346 pages
Edition 2nd Edition
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Author (1):
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Shmuel Oluwa Shmuel Oluwa
Author Profile Icon Shmuel Oluwa
Shmuel Oluwa
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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

Highlighting common formatting mistakes

Excel is a wonderful tool for financial analysts. However, in order to make use of many of its great features, certain protocols have to be observed.

The following are some of the common types of formatting anomalies that introduce complications in using Excel data analysis tools:

  • Numbers formatted as text: When you enter data into an Excel cell, by default, the text is aligned to the left of the cell, and numbers and dates are aligned to the right of the cell. In this way, Excel can recognize numbers as such and easily apply number-related actions to the data.

Unfortunately, imported data and even data prepared in Excel by a novice often comes with numbers formatted as text. This immediately limits how you can manipulate the data in Excel, as many of the time-saving features will not work or will give erratic results.

  • Partially summarized dataset: Excel analytical tools are designed to work with clean datasets with...
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