Book Image

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

By : Shmuel Oluwa
Book Image

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

By: Shmuel Oluwa

Overview of this book

Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Excel for Microsoft 365 explores financial modeling terminologies with the help of Excel. Starting with the key concepts of Excel, such as formulas and functions, this updated second edition will help you to learn all about referencing frameworks and other advanced components for building financial models. As you proceed, you'll explore the advantages of Power Query, learn how to prepare a 3-statement model, inspect your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. Next, you'll learn how to deal with iterations and provide graphical representations of ratios, before covering best practices for effective model testing. Later, you'll discover how to build a model to extract a statement of comprehensive income and financial position, and understand capital budgeting with the help of end-to-end case studies. By the end of this financial modeling Excel book, you'll have examined data from various use cases and have developed the skills you need to build financial models to extract the information required to make informed business decisions.
Table of Contents (19 chapters)
1
Part 1 – Financial Modeling Overview
4
Part 2 – The Use of Excel Features and Functions for Financial Modeling
8
Part 3 – Building an Integrated 3-Statement Financial Model with Valuation by DCF
15
Part 4 – Case Study

Understanding scenario analysis

In sensitivity analysis, we have selected a few inputs/drivers and changed them while keeping all other variables the same. This has shown us the isolated effect that each of the selected inputs has on the share price. However, in practice, this is rarely the case. Variables do not change in isolation. What you generally have is a number of variables changing as a result of a certain set of circumstances or a scenario.

Scenario analysis usually looks at two or three sets of circumstances, most likely, worst-case and best-case scenarios. For each scenario, you would assume alternative values for selected variables. In selecting the variables, you would concentrate on those inputs or drivers that are the most subjective. Scenario analysis involves substituting all the selected variables for a given scenario in your model and examining the effect this has on the share price.