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 mathematical models

In the scheme of things, the best or optimum solution is usually measured in monetary terms. This could be the option that generates the highest returns, the cheapest option, the option that carries an acceptable level of risk, or the most environmentally friendly option, but is usually a mixture of all these features.

Inevitably, there is inherent uncertainty in the situation, which makes it necessary to make assumptions based on past results. The most appropriate way to capture all the variables inherent in the situation or problem is to create a mathematical model. The model will establish relationships between the variables and assumptions that serve as input to the model. This model will include a series of calculations to evaluate the input information and to clarify and present the various alternatives and their consequences. This model is referred to as a financial model.