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Hands-On Financial Modeling with Microsoft Excel 2019

You're reading from   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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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789534627
Length 292 pages
Edition 1st Edition
Tools
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Author (1):
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Shmuel Oluwa Shmuel Oluwa
Author Profile Icon Shmuel Oluwa
Shmuel Oluwa
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Financial Modeling - Overview
2. Introduction to Financial Modeling and Excel FREE CHAPTER 3. Steps for Building a Financial Model 4. Section 2: The Use of Excel - Features and Functions for Financial Modeling
5. Formulas and Functions - Completing Modeling Tasks with a Single Formula 6. Applying the Referencing Framework in Excel 7. Section 3: Building an Integrated Financial Model
8. Understanding Project and Building Assumptions 9. Asset and Debt Schedules 10. Cash Flow Statement 11. Valuation 12. Ratio Analysis 13. Model Testing for Reasonableness and Accuracy 14. Another Book You May Enjoy

Creating a simple Monte Carlo simulation model

The Monte Carlo simulation is a model that calculates the probabilities of different results in a process where there is much inherent uncertainty. The model makes use of randomly generated numbers to obtain thousands of possible results, from which a most likely outcome can be deduced. We will look at growth in free cash flow, FCFF, as well as the cost of capital, WACC, which are both integral parts of our DCF model.

Calculate the FCFF growth rates for the historical years Y02A to Y05A using the following formula:

The following screenshot shows the calculated historical growth in FCFF:

Usually, Monte Carlo simulation uses thousands of repetitions. However, for illustration purposes, we will limit the number to 100. Let's take the average of FCFF historical growth.

The following screenshot shows the calculation of mean growth...

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