Автор: Michael Rees
Издательство: Wiley
Год: 2023
Страниц: 286
Язык: английский
Формат: pdf
Размер: 14.0 MB
A concise and practical guide to financial modeling in Excel.
In The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods, veteran quantitative modeling and business analysis expert Dr. Michael Rees delivers a practical and hands-on introduction to financial modeling in Excel. The author offers readers a well-structured and strategic toolkit to learn modeling from scratch, focusing on the core economic concepts and the structures commonly required within Excel models.
Divided into six parts, the book discusses the use of models and the factors to consider when designing and building models so that they can be as powerful as possible, yet simple.
Readers will also find:
The foundational structures and calculations most frequently used in modeling, including growth- and ratio-based methods, corkscrews, and waterfall analysis
Walkthroughs of economic modeling, measurement, and evaluation, and the linking of these to the decision criteria. These include breakeven and payback analysis, compounding, discounting, calculation of returns, loan calculations, and others
Structured approaches for modeling in corporate finance, including financial statement modeling, cash flow valuation, cost of capital, and ratio analysis
Techniques to implement sensitivity and scenario analysis
Core aspects of statistical analysis, including data preparation, manipulation, and integration
The use of approximately 100 Excel functions within example modeling contexts
Further Topics Sections, which introduce advanced aspects of many areas, in order to provide further benefit to more advance readers, whilst presenting the truly essential topics separately. Examples of these include introductions to PowerQuery and PowerPivot, as well as advanced waterfall structures
An invaluable, all-in-one blueprint for learning financial modeling in Excel, this book is ideal for beginning and intermediate financial professionals and students seeking to build and reinforce essential topics in financial modeling.
The book is structured into six parts (containing twenty‐one chapters in total):
Part I introduces financial modeling and the general factors to consider when designing, building, and using models.
Part II discusses the core features of Excel that are needed to build and use models. It covers operations and functionality, calculations and functions, and sensitivity and scenario analysis.
Part III covers the fundamental structures and calculations that are very frequently used in modeling. This includes growth‐based forecasting, ratio‐driven calculations, corkscrew structures, waterfalls, allocations, triangles, and variations of these.
Part IV discusses economic modeling, measurement, and evaluation. It covers the analysis of investments, interest calculations and compounding, loan calculations, returns analysis, discounting, and present values.
Part V treats the core applications of modeling within corporate finance. It covers the cost of capital, the modeling of financial statements, cash flow valuation, and ratio analysis.
Part VI covers statistical analysis, as well as data preparation, manipulation, and integration.
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