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Valuing businesses using regression analysis [electronic resource] : a quantitative approach to the guideline company transaction method / C. Fred Hall, III

Author
Hall, C. Fred
Published
Hoboken, New Jersey : Wiley, 2021.
Edition
First Edition.
Physical Description
pages cm
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Summary
"Regression theory, while the most accurate and appropriate method for business valuation, is often avoided by appraisers out of fear that its complex mathematical model won't be understood by judges and juries. Instead, they opt for the easy sell, using median and quartiles to value a business despite their unreliable results. Businesses Using Regression Analysis solves this issue by teaching analysts how to simplify the method into straightforward and undeniable valuations Current methodologies using median, quartiles, or standard deviations to calculate Revenue Multipliers and Cash Flow multipliers often produce values that are wildly divergent. This forces the appraiser to choose between a very high or a very low value or consider averaging the values, opening the possibility for the appraiser to be challenged. On the surface, regression analysis appears to be the more complex, mathematical model, so many professionals shy away from using it out of fear that readers will be confused and reject the results of the appraisal. Valuing Businesses Using Regression Analysis solves this issue by breaking down regression to its simplest terms and providing easy-to-read charts and explanations that can be understood by all. Since regression analysis does not come pre-installed in Excel, the reader will be shown how to enable Excel's regression in their computers. The reader will then be shown four different Regression tools that can be used for business valuations or for forecasting in general. As an added perk, this book will also come with a template that simplifies the entire regression methodology into the click of one button. With minimal amount of work, the template will produce a compelling four-page valuation report"--
Subject(s)
Genre(s)
ISBN
9781119793427 (hardback)
9781119793441 (adobe pdf)
9781119793434 (epub)
Note
Includes index.
View MARC record | catkey: 43606721