Quantitative Business Valuation – A Mathematical Approach for Today′s Professionals 2e

Name: Quantitative Business Valuation – A Mathematical Approach for Today′s Professionals 2e
Author: JB Abrams

A Mathematical Approach for Today′s Professionals

Gebonden Engels 2010 2e druk 9780470390160

160,27

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Essential reading for the serious business appraiser

Now in a Second Edition, Quantitative Business Valuation is an authoritative guide enabling you to value businesses from a mathematical perspective.

Written by leading valuation and litigation economist Jay Abrams, this all–inclusive quantitative guide to the valuation of privately held businesses provides you with valuation theory and applications, including development of dozens of useful valuation formulas, use of regression analysis in several contexts, developing discount rates from stock market returns, adjusting for control and marketability, empirical validation of model estimates, litigation issues, and ESOP valuation.

Updated coverage of regression analysis
Extensive analysis of new academic literature on growth versus value firms
A new chapter on valuing ESOPs comparing the after–personal–tax wealth effects of selling to an ESOP versus selling with an S Corp premium to an outside party
New chapters of litigation
New chapter on Monte Carlo Simulation & Real Options Valuation

The clear, step–by–step explanations found in Quantitative Business Valuation, Second Edition make advanced quantitative techniques available to the many appraisers who are not capable of independently creating the underlying mathematical analysis.

Specificaties

ISBN13:9780470390160

Taal:Engels

Bindwijze:gebonden

Aantal pagina's:672

Uitgever:John Wiley & Sons

Druk:2

Hoofdrubriek:Financieel management, Financieel management

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Inhoudsopgave

List of Tables and Figures
.
Introduction.
Acknowledgments.
PART I FORECASTING CASH FLOW.
CHAPTER 1 Cash Flow: A Mathematical Derivation.
Introduction.
The Mathematical Model.
Analysis of the Mathematical Model.
Summary.
References.
CHAPTER 2 Forecasting Cash Flow: Mathematics of the Payout Ratio.
Introduction.
The Mathematics.
Forecasting Gross Cash Flow Is Incorrect.
Conclusion.
References.
CHAPTER 3 Using Regression Analysis.
Introduction.
Forecasting Costs and Expenses.
Performing Regression Analysis.
Use of Regression Statistics to Test the Robustness of the Relationship.
Problems with Regression Analysis for Forecasting Costs.
Using Regression Analysis to Forecast Sales.
Autocorrelation in Time Series Analysis.
Application of Regression Analysis to the Guideline Company (GC) Methods.
Summary.
References.
APPENDIX 3A The ANOVA Table (Table A3.1, Rows 28 32).
CHAPTER 4 Annuity Discount Factors and the Gordon Model.
Introduction.
ADF with End–of–Year Cash Flows.
Midyear Cash Flows.
Starting Periods Other Than Year 1.
Periodic Perpetuity Factors (PPFs): Perpetuities for Periodic Cash Flows.
ADFs in Loan Mathematics.
Relationship of the Gordon Model to the Price/Earnings and Price/Sales Ratios.
The Bias in Annual (versus Monthly) Discounting Is Immaterial.
Conclusions.
References.
APPENDIX 4A Mathematical Appendix.
APPENDIX 4B Mathematical Appendix: Monthly ADFs.
PART II CALCULATING DISCOUNT RATES.
CHAPTER 5 Discount Rates as a Function of Log Size.
Research Included in the First Edition.
Table 5.1: Analysis of Historical Stock Returns.
Application of the Log Size Model.
Discussion of Models and Size Effects.
Industry Effects.
The Wedge between Public and Private Firm Valuations.
Satisfying Revenue Ruling 59–60.
Summary and Conclusions.
References.
APPENDIX 5A Automating Iteration Using Newton s Method.
APPENDIX 5B Mathematical Appendix.
APPENDIX 5C Abbreviated Review and Use.
CHAPTER 6 Arithmetic versus Geometric Means: Empirical Evidence and Theoretical Issues.
Introduction.
Theoretical Superiority of the Arithmetic Mean.
Empirical Evidence of the Superiority of the Arithmetic Mean.
Indro and Lee Article.
References.
CHAPTER 7 An Iterative Valuation Approach.
Introduction.
Equity Valuation Method.
Invested Capital Approach.
Log Size.
Summary.
References.
PART III ADJUSTING FOR CONTROL AND MARKETABILITY.
CHAPTER 8 Adjusting for Levels of Control and Marketability.
Introduction.
The Value of Control and Adjusting for Level of Control.
Discount for Lack of Marketability (DLOM).
Conclusion.
References.
APPENDIX 8A Mathematical Appendix.
PART IV PUTTING IT ALL TOGETHER.
CHAPTER 9 Empirical Testing of Abrams s Valuation Theory.
Introduction.
Table 9.1: Log Size for 1938 1986.
Table 9.2: Reconciliation to the IBA Database.
Calculation of DLOM.
Interpretation of the Error.
Conclusion.
References.
CHAPTER 10 Measuring Valuation Uncertainty and Error.
Introduction.
Measuring Valuation Uncertainty.
Measuring the Effects of Valuation Error.
Summary and Conclusions.
Reference.
PART V LITIGATION.
CHAPTER 11 Demonstrating Expert Bias.
Introduction.
Market Methods.
A Balanced DCF Valuation.
Summary.
CHAPTER 12 Lost Inventory and Lost Profits Damage Formulas in Litigation.
Introduction.
Commentary to Table 12.1: Sample Damage Calculations with VM = $95.
Table 12.1B: Lost Profits Formulas Based on EBITDA for Lost Sales on Inventory Never Produced.
When Reality May Vary with Our Assumptions.
Modification of Formulas for Wholesale and Retail Businesses.
Legal Treatment.
Summary.
Reference.
PART VI VALUING ESOPs AND BUYOUTS OF PARTNERS AND SHAREHOLDERS.
CHAPTER 13 ESOPs: Measuring and Apportioning Dilution.
Introduction.
Definitions of Dilution.
Table 13.1: Calculation of Lifetime ESOP Costs.
The Direct Approach.
The Iterative Approach.
Summary.
References.
APPENDIX 13A Mathematical Appendix.
CHAPTER 14 The Trade–off in Selling to an ESOP versus an Outside Buyer.
Section 1: Introduction.
Section 2: Advantages and Disadvantages of Selling to an ESOP versus a Third Party.
Section 3: The Mathematics.
Section 4: Sample Calculations in the Tables.
Section 5: Conclusion.
References.
CHAPTER 15 Buyouts of Partners and Shareholders.
Introduction.
Table 15.1: Pre– and Post–Transaction Valuations.
Table 15.2: Dilution in FMV as a Result of the Partner Buyout.
Sharing the Dilution.
Conclusion.
PART VII PROBABILISTIC METHODS.
CHAPTER 16 Valuing Start–Ups.
Issues Unique to Start–Ups.
Organization of the Chapter.
Part 1: First Chicago Approach.
Venture Capital Valuation Approach.
Part 2: Debt Restructuring Study.
Part 3: Exponentially Declining Sales Growth Model.
References.
CHAPTER 17 Monte Carlo Risk Simulation, by Dr. Johnathan Mun.
What Is Monte Carlo Risk Simulation?.
Comparing Simulation with Traditional Analyses.
Running a Monte Carlo Simulation Using Risk Simulator.
Using Forecast Charts and Confidence Intervals.
Tornado and Sensitivity Tools in Simulation.
Sensitivity Analysis.
Distributional Fitting: Single Variable and Multiple Variables.
Getting the Risk Simulator Software.
CHAPTER 18 Real Options, by Dr. Johnathan Mun.
Part 1: Introduction to Real Options.
Part 2: Traditional Valuation Approaches.
Part 3: Application: Real Options SLS Software.
Glossary.
About the Author.
Index.