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Hands-On Financial Modeling with Excel for Microsoft 365 - Second Edition

You're reading from  Hands-On Financial Modeling with Excel for Microsoft 365 - Second Edition

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781803231143
Pages 346 pages
Edition 2nd Edition
Languages
Author (1):
Shmuel Oluwa Shmuel Oluwa
Profile icon Shmuel Oluwa

Table of Contents (19) Chapters

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