Valuing Businesses Using Regression Analysis
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| Author | : C. Fred Hall, III |
| Publisher | : John Wiley & Sons |
| Total Pages | : 194 |
| Release | : 2021-04-16 |
| Genre | : Business & Economics |
| ISBN | : 1119793432 |
Demystifies regression-based valuation through simple explanations, easy-to-understand charts, and time-saving bonus resources 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, this book will show you how to enable Excel's regression in your computer. Then you'll learn four different Regression tools that can be used for business valuations or for forecasting in general. As an added perk, this book also comes with a template that simplifies the entire regression methodology into the click of one button. With a minimal amount of work, you can use this template to produce a compelling four-page valuation report. See why current valuation methodologies can be wildly inaccurate and why regression analysis is a practical and preferable alternative Learn how to set up Regression in Excel and use single-variable linear regression to predict revenue and cash flow multipliers Walk through the process for conducting more advanced analyses, including curved regression with outliers and multiple variable regression Use the bonus template to create attractive four-page valuation reports using regression analysis in Excel This book is an excellent choice for valuators and other financial professionals ready to take the leap into regression analysis for more accurate, more objective business valuations.
| Author | : C. Hall |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : |
Demystifies regression-based valuation through simple explanations, easy-to-understand charts, and time-saving bonus resources 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, this book will show you how to enable Excel's regression in your computer. Then you'll learn four different Regression tools that can be used for business valuations or for forecasting in general. As an added perk, this book also comes with a template that simplifies the entire regression methodology into the click of one button. With a minimal amount of work, you can use this template to produce a compelling four-page valuation report. See why current valuation methodologies can be wildly inaccurate and why regression analysis is a practical and preferable alternative Learn how to set up Regression in Excel and use single-variable linear regression to predict revenue and cash flow multipliers Walk through the process for conducting more advanced analyses, including curved regression with outliers and multiple variable regression Use the bonus template to create attractive four-page valuation reports using regression analysis in Excel This book is an excellent choice for valuators and other financial professionals ready to take the leap into regression analysis for more accurate, more objective business valuations.
| Author | : C. Fred Hall, III |
| Publisher | : John Wiley & Sons |
| Total Pages | : 192 |
| Release | : 2021-04-12 |
| Genre | : Business & Economics |
| ISBN | : 1119793440 |
Demystifies regression-based valuation through simple explanations, easy-to-understand charts, and time-saving bonus resources 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, this book will show you how to enable Excel's regression in your computer. Then you'll learn four different Regression tools that can be used for business valuations or for forecasting in general. As an added perk, this book also comes with a template that simplifies the entire regression methodology into the click of one button. With a minimal amount of work, you can use this template to produce a compelling four-page valuation report. See why current valuation methodologies can be wildly inaccurate and why regression analysis is a practical and preferable alternative Learn how to set up Regression in Excel and use single-variable linear regression to predict revenue and cash flow multipliers Walk through the process for conducting more advanced analyses, including curved regression with outliers and multiple variable regression Use the bonus template to create attractive four-page valuation reports using regression analysis in Excel This book is an excellent choice for valuators and other financial professionals ready to take the leap into regression analysis for more accurate, more objective business valuations.
| Author | : Jan Viebig |
| Publisher | : John Wiley & Sons |
| Total Pages | : 438 |
| Release | : 2008-04-30 |
| Genre | : Business & Economics |
| ISBN | : 0470758805 |
Equity Valuation: Models from the Leading Investment Banks is a clear and reader-friendly guide to how today’s leading investment banks analyze firms. Editors Jan Viebig and Thorsten Poddig bring together expertise from UBS, Morgan Stanley, DWS Investment GmbH and Credit Suisse, providing a unique analysis of leading equity valuation models, from the very individuals who use them. Filled with real world insights, practical examples and theoretical approaches, the book will examine the strengths and weaknesses of some of the leading valuation approaches, helping readers understand how analysts: · estimate cash flows · calculate discount rates · adjust for accounting distortions · take uncertainty into consideration Written for investment professionals, corporate managers and anyone interested in developing their understanding of this key area, Equity Valuation: Models from the Leading Investment Banks will arm readers with the latest thinking and depth of knowledge necessary to make the right decisions in their valuation methodologies.
| Author | : Robert A. Stine |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 360 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461206839 |
Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation ofbeing aboring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Basic Business Statistics) was to change that impression by showing how statistics gives insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material is organized into 12 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part ofthe appeal ofstatistics is this richness, this blending of substantive theories and mathematics. For a newcomer, however, this blend is too rich and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way. Each class has one main idea, something big like standard error. We begin a class by discussing an application chosen to motivate this key concept, and introduce the necessary terminology.
| Author | : Jay B. Abrams |
| Publisher | : Irwin Professional Publishing |
| Total Pages | : 0 |
| Release | : 2001 |
| Genre | : Business enterprises |
| ISBN | : 9780070002159 |
Annotation Quantitative Business Valuation is the first authoritative work to guide professionals through the business valuation process with a quantitative--as opposed to qualitative--focus. Jay Abrams's unique methodology combines original research and mathematical material to lead readers through an integrated approach to forecasting cash flow, calculating discount rates, calculating discounts and premiums, and much more.
| Author | : Aswath Damodaran |
| Publisher | : John Wiley & Sons |
| Total Pages | : 269 |
| Release | : 2011-03-29 |
| Genre | : Business & Economics |
| ISBN | : 1118064143 |
An accessible, and intuitive, guide to stock valuation Valuation is at the heart of any investment decision, whether that decision is to buy, sell, or hold. In The Little Book of Valuation, expert Aswath Damodaran explains the techniques in language that any investors can understand, so you can make better investment decisions when reviewing stock research reports and engaging in independent efforts to value and pick stocks. Page by page, Damodaran distills the fundamentals of valuation, without glossing over or ignoring key concepts, and develops models that you can easily understand and use. Along the way, he covers various valuation approaches from intrinsic or discounted cash flow valuation and multiples or relative valuation to some elements of real option valuation. Includes case studies and examples that will help build your valuation skills Written by Aswath Damodaran, one of today's most respected valuation experts Includes an accompanying iPhone application (iVal) that makes the lessons of the book immediately useable Written with the individual investor in mind, this reliable guide will not only help you value a company quickly, but will also help you make sense of valuations done by others or found in comprehensive equity research reports.
| Author | : Jacek Welc |
| Publisher | : Springer |
| Total Pages | : 294 |
| Release | : 2017-12-29 |
| Genre | : Business & Economics |
| ISBN | : 3319711563 |
This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.
| Author | : Shannon P. Pratt |
| Publisher | : McGraw-Hill Professional Publishing |
| Total Pages | : 774 |
| Release | : 1989 |
| Genre | : Business & Economics |
| ISBN | : 9781556231278 |
The book serves three purposes: a comprehensive reference and update for currently active business appraisers, a complete self-contained text for both academic courses and beginning practitioners, and an easy-to-use reference for nonappraisers who use and/or evaluate business appraisals. Updated and revised, Valuing a Business, Third Edition, includes theoretical principles and practical techniques for effective business valuation, including the valuation of limited liability corporations, S corporations, and partnerships; greatly expanded treatment of valuation approaches and methods; new and expanded chapters on minority control and lack of marketability issues; a new checklist on reviewing a valuation report, designed for nonappraisers as well as active practitioners; hundreds of new data sources and bibliographical references; dozens of additional court case references; a new three-chapter section on valuing intangible assets; and new chapters on valuations for ad valorem taxes and income tax planning.
| Author | : Alexander Holmes |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-06-30 |
| Genre | : |
| ISBN | : 9781998109487 |
Printed in b&w. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
