Oluwa - Hands-on financial modeling with Microsoft Excel 2019: build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019
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Hands-on financial modeling with Microsoft Excel 2019: build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019: summary, description and annotation
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Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips
Key Features- A non-data professionals guide to exploring Excels financial functions and pivot tables
- Prepare various models for income and cash flow statements, and balance sheets
- Perform valuations and identify growth drivers with real-world case studies
Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 explores terminologies of financial modeling with the help of Excel.
This book will provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing and covers best practices and practical use cases.
By the end of this book, you will have examined the data from various use cases, and have the skills you need to build financial models to extract the information required to make informed business decisions.
What you will learn- Identify the growth drivers derived from processing historical data in Excel
- Use discounted cash flow (DCF) for efficient investment analysis
- Build a financial model by projecting balance sheets and profit and loss
- Apply a Monte Carlo simulation to derive key assumptions for your financial model
- Prepare detailed asset and debt schedule models in Excel
- Discover the latest and advanced features of Excel 2019
- Calculate profitability ratios using various profit parameters
This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and dont have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.
Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Financial-Modeling-with-Microsoft-Excel-2019. If you require support please email: customercare@packt.com
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Shmuel Oluwa is a financial executive and seasoned instructor with over 25 years' experience in a number of finance-related fields, with a passion for imparting knowledge. He has developed considerable skills in the use of Microsoft Excel and has organized training courses in Business Excel, Financial Modeling with Excel, Forensics and Fraud Detection with Excel, Excel as an Investigative Tool, and Accounting for Non-Accountants, among others. He has given classes in Nigeria, Angola, Kenya, and Tanzania, but his online community of students covers several continents.
Shmuel divides his time between London and Lagos with his pharmacist wife. He is fluent in three languages: English, Yoruba, and Hebrew.
I would like to dedicate this book to my late parents, Yirael and Levi Oluwa, and to my beloved late sister, Hodel Oluwa. Only the memories can soften the loss.
Bernard Obeng Boateng is a data analyst and a financial modeler with over 10 years' working experience in banking, insurance, and business development. He has a BSc degree in administration from the University of Ghana Business School, and is certified in business analytics from the world's leading business school, Wharton. Bernard is the principal consultant of BEST LTD, a firm that provides training and financial solutions to individuals and corporate institutions in Ghana.
As a financial modeler, he was part of a team that created an agriculture insurance risk model for the governments of Ghana and Rwanda. He has trained over 500 hundred corporate workers in Ghana and has an online training video series called Excel ...
, Introduction to Financial Modeling and Excel , shows you the basic ingredients of a financial model and what are my favorite definitions of a financial model. You will also learn about the different tools for financial modeling that currently exist in the industry, as well as those features of Excel that make it the ideal tool to use in order to handle the various needs of a financial model.
, Steps for Building a Financial Model , helps you to devise a systematic plan to observe that will allow you or any other user to follow the flow from the beginning to the end of your model. It will also facilitate the building of your model and provide a useful roadmap for troubleshooting any errors or discrepancies that may arise.
, Formulas and Functions Completing Modeling Tasks with a Single Formula , teaches you the difference between formulas and functions. You will learn the functions that make Excel ideal for modeling. You will also learn how to combine functions and where to get help with constructing your formulas where necessary.
, Applying the Referencing Framework in Excel , shows you what makes Excel come alive. The referencing framework is what makes Excel dynamic and enables the creation of integrated financial models. A sound knowledge of referencing in Excel can significantly speed up your work and is priceless for reducing the amount of boring repetition. You will learn in an uncomplicated manner how to use relative, absolute, and mixed referencing.
, Understanding Project and Building Assumptions , shows the measure of the importance of this topic, because about 75% of your modeling time should be spent on getting to know and understanding the project. As mentioned a number of times, there are different types of model. Which model you use will depend on the nature and purpose of your project, as well as your target audience. When building your assumptions, you will need to interview all those in a position to give informed and accurate growth projections for the various aspects of the entity's operations.
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