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Updated edition of the definitive guide to investment valuation tools and techniques
Investment Valuation: Tools and Techniques for Determining the Value of Any Asset delves into valuation techniques for a variety of different asset classes, including real options, start-up firms, unconventional assets, distressed companies and private equity, real estate, and many more, and explains how to choose the right model for any given asset valuation scenario. The models are presented with real-world examples so as to capture some of the problems inherent in applying these models, with discussion of differences and common elements between the models to provide readers with a holistic understanding of the subject matter.
Written by a professor of finance who is widely regarded as one of the best educators and thinkers on the topic of investment valuation, this newly revised and updated Fourth Edition explores topics including:
Investment Valuation: Tools and Techniques for Determining the Value of Any Asset is an essential resource for all investors and students of financial markets seeking an all-in-one guide to expand their valuation knowledge and make better investment decisions.
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Veröffentlichungsjahr: 2025
Cover
Table of Contents
Title Page
Copyright
Dedication
Preface to the Fourth Edition
Chapter 1 Introduction to Valuation
A Philosophical Basis for Valuation
Pricing Versus Valuation
The Bermuda Triangle of Valuation
Market Efficiency
The Role of Valuation
Conclusion
Questions and Short Problems
Notes
Chapter 2 Approaches to Valuation
Intrinsic Valuation
Pricing or Relative Valuation
Contingent Claim Valuation
Conclusion
Questions and Short Problems
Notes
Chapter 3 Understanding Financial Statements
The Basic Accounting Statements
Asset Measurement and Valuation
Measuring Financing Mix
Measuring Earnings and Profitability
Measuring Risk
Other Issues in Analyzing Financial Statements
Conclusion
Questions and Short Problems
Notes
Chapter 4 The Basics of Risk
What Is Risk?
Equity Risk and Expected Return
Alternative Models for Equity Risk
A Comparative Analysis of Equity Risk Models
Models of Default Risk
Conclusion
Questions and Short Problems
Notes
Chapter 5 Option Pricing Theory and Models
Basics of Option Pricing
Option Pricing Models
Extensions of Option Pricing
Conclusion
Questions and Short Problems
Notes
Chapter 6 Market Efficiency—Definition, Tests, and Evidence
Market Efficiency and Investment Valuation
What Is an Efficient Market?
Testing Market Efficiency
Cardinal Sins in Testing Market Efficiency
Some Lesser Sins That Can Be a Problem
Evidence on Market Efficiency
Time Series Properties of Price Changes
Market Reaction to Information Events
Market Anomalies
Evidence on Insiders and Investment Professionals
Conclusion
Questions and Short Problems
Notes
Chapter 7 Riskless Rates and Risk Premiums
The Risk-Free Rate
Equity Risk Premium
Default Spreads on Bonds
Conclusion
Questions and Short Problems
Notes
Chapter 8 Estimating Risk Parameters and Costs of Financing
The Cost of Equity and Capital
Cost of Equity
From Cost of Equity to Cost of Capital
Best Practices at Firms
Conclusion
Questions and Short Problems
Notes
Chapter 9 Measuring Earnings
The Lead-in: From Accounting Data to Financial Information
Adjusting Earnings
Measuring Earnings Power: Clean Up and Time Differences
Conclusion
Questions and Short Problems
Notes
Chapter 10 From Earnings To Cash Flows
The Tax Effect
Reinvestment Needs
Conclusion
Questions and Short Problems
Notes
Chapter 11 Estimating Growth
The Importance of Growth
Historical Growth
Outsourcing Growth
Fundamental Determinants of Growth
Top-Down Growth: From Revenue Growth to Free Cash Flows
Qualitative Aspects of Growth
Conclusion
Questions and Short Problems
Notes
Chapter 12 Closure in Valuation: Estimating Terminal Value
Closure in Valuation
The Survival Issue
Closing Thoughts on Terminal Value
Conclusion
Questions and Short Problems
Notes
Chapter 13 Narrative and Numbers – Story to Value
Valuation as a Bridge
The Importance of Storytelling
The Dangers in Storytelling
From Story to Numbers: The Process
Narrative and Numbers Across the Life Cycle
Story Resets, Changes, and Breaks
Conclusion
Questions and Short Problems
Notes
Chapter 14 Equity Intrinsic Value Models
Equity Valuation
The Dividend Discount Model
The Augmented Dividend Discount Model
Potential Dividend or FCFE Models
FCFE Valuation Versus Dividend Discount Model Valuation
Conclusion
Questions and Short Problems
Notes
Chapter 15 Firm Valuation: Cost of Capital and Adjusted Present Value Approaches
Free Cash Flow to the Firm
Firm Valuation: The Cost of Capital Approach
Firm Valuation: The Adjusted Present Value Approach
Firm Valuation: Sum of the Parts
Effect of Leverage on Firm Value
Conclusion
Questions and Short Problems
Notes
Chapter 16 Estimating Equity Value per Share
Value of Nonoperating Assets
Firm Value and Equity Value
Stock-Based Compensation
Value per Share When Voting Rights Vary
Conclusion
Questions and Short Problems
Notes
Chapter 17 Fundamental Principles of Relative Valuation
Use of Relative Valuation
Standardized Values and Multiples
Four Basic Steps to Using Multiples
Reconciling Relative and Discounted Cash Flow Valuations
Conclusion
Questions and Short Problems
Notes
Chapter 18 Earnings Multiples
Price-Earnings Ratio
The PEG Ratio
Other Variants on the PE Ratio
Enterprise Value to EBITDA Multiple
Conclusion
Questions and Short Problems
Notes
Chapter 19 Book Value Multiples
Price-to-Book Equity
Value-to-Book Ratios
Tobin’S Q: Market Value/Replacement Cost
Conclusion
Questions and Short Problems
Notes
Chapter 20 Revenue Multiples and Sector-Specific Multiples
Revenue Multiples
Sector-Specific Multiples
Conclusion
Questions and Short Problems
Notes
Chapter 21 Valuing Financial Service Firms
Categories of Financial Service Firms
What Is Unique About Financial Service Firms?
General Framework for Valuation
Discounted Cash Flow Valuation
Relative Valuation
The Crisis Effect
Nonbank Financial Service Firms
Conclusion
Questions and Short Problems
Notes
Chapter 22 Valuing Money-Losing Firms
Negative Earnings: Consequences and Causes
Valuing Money-Losing Firms
Conclusion
Questions and Short Problems
Notes
Chapter 23 Valuing Young or Start-Up Firms
Information Constraints
General Framework for Analysis
Value Drivers
Estimation Noise
The Expectations Game
Conclusion
Questions and Short Problems
Notes
Chapter 24 Valuing Private Firms
What Makes Private Firms Different?
Estimating Valuation Inputs at Private Firms
Valuation Motives and Value Estimates
Valuing Venture Capital and Private Equity Stakes
Pricing Private Businesses
Conclusion
Questions and Short Problems
Notes
Chapter 25 Acquisitions and Takeovers
Background on Acquisitions
Steps in an Acquisition
Takeover Valuation: Biases and Common Errors
Structuring the Acquisition
Improving the Odds
Analyzing Management and Leveraged Buyouts
Conclusion
Questions and Short Problems
Notes
Chapter 26 Valuing Real Estate
Real Versus Financial Assets
Real Estate: The Underfollowed Investment Class
Intrinsic Valuation of Real Estate
Comparable/Relative Valuation
Valuing Real Estate Businesses
Conclusion
Questions and Short Problems
Notes
Chapter 27 Valuing Other Assets
Investment classification
Cash-Flow–Producing Assets
Collectibles
Trophy Assets
Conclusion
Questions and Short Problems
Notes
Chapter 28 The Option to Delay and Valuation Implications
Real Options: Promise and Pitfalls
The Option to Delay a Project
Valuing a Patent
Natural Resource Options
Other Applications
Conclusion
Questions and Short Problems
Notes
Chapter 29 The Options to Expand and to Abandon: Valuation Implications
The Option to Expand
When Are Expansion Options Valuable?
Valuing a Firm with the Option to Expand
Valuing the Optionality in Users and Data
Value of Financial Flexibility
The Option to Abandon
Reconciling Net Present Value and Real Option Valuations
Conclusion
Questions and Short Problems
Notes
Chapter 30 Valuing Equity in Distressed Firms
Equity in Highly Levered Distressed Firms
Optionality in Valuation: A Corporate Life Cycle Perspective
Implications of Viewing Equity as an Option
Estimating the Value of Equity as an Option
Distressed Equity as an Option: Consequences for Decision-Making
Conclusion
Questions and Short Problems
Notes
Chapter 31 Value Enhancement: A Discounted Cash Flow Valuation Framework
Value-Creating and Value-Neutral Actions
Ways of Increasing Value
Value Enhancement Chain
Closing Thoughts on Value Enhancement
Conclusion
Questions and Short Problems
Notes
Chapter 32 Value Enhancement: Economic Value Added, Cash Flow Return on Investment, and Other Tools
Economic Value Added
Cash Flow Return on Investment
A Postscript on Value Enhancement
Conclusion
Questions and Short Problems
Notes
Chapter 33 Probabilistic Approaches in Valuation: Scenario Analysis, Decision Trees, and Simulations
Scenario Analysis
Decision Trees
Simulations
An Overall Assessment of Probabilistic Risk-Assessment Approaches
Conclusion
Questions and Short Problems
Notes
Chapter 34 Overview and Conclusion
Choices in Valuation Models
Which Approach Should You Use?
Choosing the Right Intrinsic Valuation Model
Choosing the Right Pricing Model
When Should You Use the Option Pricing Models?
Conclusion
References
Index
End User License Agreement
CHAPTER 2
Table 2.1 Cashflows to Equity and Firm
Table 2.2 PE ratios for software firms
CHAPTER 3
Table 3.1 Asset Values for RTX and Home Depot
Table 3.2 Liabilities and Equity—Raytheon and Home Depot
Table 3.3 Measuring Earnings at Raytheon and Home Depot
Table 3.4 Return on Capital for Raytheon and Home Depot
Table 3.5 Return on Equity for Raytheon and Home Depot
Table 3.6 Interest and Fixed Charge Coverage: Raytheon and Home Depot
Table 3.7 Debt ratios for Raytheon and Home Depot
Table 3.8 Differences between IFRS and GAAP (in 2023)
CHAPTER 4
Table 4.1 Alternative Models for Cost of Equity
Table 4.2 Definition of Financial Ratios: S&P
Table 4.3 Financial Ratios and S&P Ratings in 2022
CHAPTER 5
Table 5.1 Summary of Variables Affecting Call and Put Prices
CHAPTER 6
Table 6.1 Excess Returns around Option Listing Announcements
Table 6.2 Average Excess Returns, by PE quintile
Table 6.3 Returns on Filter Rule Strategies
Table 6.4 Market Reactions to Investment Announcements
Table 6.5 Excess Returns on Low PE Ratio Stocks by Country, 1989–1994
Table 6.6 Annual Return to Low Price to Book—Global
Table 6.7 Probabilities of Transition from One Quartile to Another—2016–20...
CHAPTER 7
Table 7.1 Comparing Risk and Return Models
Table 7.2 Standard Errors in Risk Premium Estimates
Table 7.3 Historical Risk Premiums for the United States (with standard errors in italic...
Table 7.4 Historical Equity Risk Premiums: Markets Outside the United States
Table 7.5 Default Spreads by Ratings Class in January 2024
Table 7.6 Default Spreads and Interest Rates—January 2024
CHAPTER 8
Table 8.1 Levered Beta and Debt to Equity Ratios
Table 8.2 Betas and Operating Leverage—Shoe Companies
Table 8.3 Bottom-up Beta for Enka
Table 8.4 Boeing Defense Division Earnings vs. S&P 500 Earnings
Table 8.5 Interest Coverage Ratios and Ratings: Low Market Cap Firms
Table 8.6 Interest Coverage Ratios, Ratings, and Default Spreads: Large Market Cap Firms
Table 8.7 Capitalizing leases at Microsoft in 2000
Table 8.8 Current Practices for Estimating Cost of Capital
CHAPTER 13
Table 13.1 Indian Restaurant Delivery Market in 2021
Table 13.2 Costs of Capital for U.S. and Global Companies in US $—January 2...
Table 13.3 Free Cash Flows to the Firm and Present Value at Zomato in 2021
Table 13.4 Zomato – Alternate Stories and Value per Share
CHAPTER 14
Table 14.1 Expected dividends per share for P&G
Table 14.2 Expected dividends and Present Value in High-Growth—JP Morgan Chase
Table 14.3 Expected Dividends and Present Value in Transition—JP Morgan Chase
Table 14.4 Dividends versus Buybacks—Coca Cola
Table 14.5 Dividends and Buybacks for S&P 500
Table 14.6 Expected Free Cashflows to Equity—Levi Strauss
Table 14.7 FCFE (Approximation) for Levi Strauss
Table 14.8 Nestle—Geographic Revenue Breakdown
Table 14.9 FCFE and Present Value for Nestle
Table 14.10 Expected FCFE for Tsingtao Breweries
Table 14.11 Differences between DDM and FCFE Models
CHAPTER 15
Table 15.1 Free Cash Flows to the Firm: Comparison to Other Measures
Table 15.2 Present Value of Lease Commitments—Target
Table 15.3 Expected FCFF and Present Value—Target
Table 15.4 Valuation of Target—Lease Capitalization Effect
Table 15.5 R&D Capitalization—Amgen
Table 15.6 Expected FCFF for Amgen
Table 15.7 Ratings and Probability of Default
Table 15.8 Present Value of Tax Benefits
Table 15.9 GE Business Mix in 2018
Table 15.10 Value of GE—Sum of its parts
Table 15.11 Cost of Capital and Firm Value, by Debt Ratio
Table 15.12 Cost of Equity for Disney, by Debt Ratio
Table 15.13 Ratings and Default Spreads
Table 15.14 Base Year Operating Metrics for Disney
Table 15.15 Costs of Debt for Disney, by Debt Ratio
Table 15.16 Cost of Capital for Disney, by Debt Ratio
CHAPTER 16
Table 16.1 Microsoft Cash Holdings—1999 and 2000
Table 16.2 Microsoft investments in Riskier Securitiess
Table 16.3 Hyundai Heavy Cross Holdings
Table 16.4 Valuing Hyundai Heavy’s Crossholdings
Table 16.5 Cisco—Options outstanding
CHAPTER 18
Table 18.1 Distribution for PE ratios—U.S. Companies in January 2024
Table 18.2 High growth firm—Fundamentals
Table 18.3 Intrinsic PE ratio inputs for P&G
Table 18.4 PE Ratios and Macroeconomic Factors
Table 18.5 Summary Macroeconomic Statistics
Table 18.6 Market Characteristics—Country comparison
Table 18.7 Actual versus Predicted PE ratios
Table 18.8 Summary Macroeconomic Statistics—Emerging Markets
Table 18.9 Global Telecom Company Pricing in 2000
Table 18.10 Actual versus Predicted PE ratios
Table 18.11 Market Regressions from 1961 to 1965
Table 18.12 Market Regressions from 1987 to 1991
Table 18.13 ERP and Growth Coefficients—2000–2024
Table 18.14 PE Market Regressions—Start of 2024
Table 18.15 Pearson Correlations between Independent Variables
Table 18.16 PEG ratio comparison—Software versus Market
Table 18.17 PEG Market Regressions—Start of 2024
Table 18.18 PEG ratios for Beverage companies
Table 18.19 Relative PE ratios for auto companies in 2011
Table 18.20 EV/EBITDA Multiples for Steel Companies in 2001
CHAPTER 19
Table 19.1 Firm characteristics—High Growth and Stable Growth
Table 19.2 Firm characteristics—Nestle
Table 19.3 PBV and ROE of European Apparel firms
Table 19.4 Predicted PBV of European Apparel Firms
Table 19.5 PBV Market Regressions—1987 to 1991
Table 19.6 PBV Market Regressions—Start of 2024
Table 19.7 PBV Excess Return by Country
Table 19.8 EV-to-IC Market Regressions—Start of 2024
CHAPTER 20
Table 20.1 Price-to-sales and EV/Sales Multiples: Distributional Statistics for U.S. firm...
Table 20.2 Characteristics of a High Growth firm
Table 20.3 Valuation Inputs—High Growth Firm
Table 20.4 Valuation Inputs—Coca Cola
Table 20.5 Pricing Multiples and Companion Variables
Table 20.6 Valuation Inputs for Pricing Strategies
Table 20.7 Valuation Inputs—Coca Cola and Cott
Table 20.8 Coca Cola Brand Name Value—Pricing Power
Table 20.9 Coca Cola Brand Name Value—Pricing Power & Turnover
Table 20.10 Coca Cola Brand Name Value—All Excess Returns
Table 20.11 Market Regressions for Price to Sales—1987–1991
Table 20.12 Market Regressions for EV to Sales—Start of 2024
Table 20.13 Value of Netflix on April 16, 2018
Table 20.14 User Data for Social Media Companies
CHAPTER 21
Table 21.1 Expected Dividends in Years 1 Through 4
Table 21.2 Expected Dividends in Years 1 Through 4
Table 21.3 Expected Potential Dividends (in millions of euros) over Next Five Years...
Table 21.4 Expected Excess Returns—Goldman Sachs
Table 21.5 PE ratios and Fundamentals—U.S. Insurance Companies
Table 21.6 Pricing JP Morgan Chase, by Segment
Table 21.7 Price to Book and Fundamentals—European Banks
Table 21.8 Bank Cheapness Indicators
Table 21.9 Cheapness Screens for Large U.S. Banks
CHAPTER 22
Table 22.1 Expected Earnings and Cash Flows—Dana Corp
Table 22.2 Expected Earnings and Cash Flows—Toyota
Table 22.3 Construction costs and present value
Table 22.4 Expected Earnings on Investment
Table 22.5 Cash Flows and present value
Table 22.6 Expected free cash flows for years 1 through 6
Table 22.7 Debt Ratios and Costs of Capital
Table 22.8 Probability of Default by Bond Ratings Class
Table 22.9 Expected Free Cash Flows
Table 22.10 Costs of Capital and Discount Factors
Table 22.11 FCFF and Present value
CHAPTER 23
Table 23.1 Expected Revenues for Airbnb (in $ millions)
Table 23.2 Expected Operating Income for Airbnb (in $ millions)
Table 23.3 Expected FCFF for Airbnb (in $ millions)
Table 23.4 Reinvestment and Imputed ROIC for Airbnb (in $ millions)
Table 23.5 Present value of FCFF for Airbnb (in $ millions)
Table 23.6 Value per Share, Growth and Margins—Airbnb
CHAPTER 24
Table 24.1 Accounting Earnings—Infosoft versus S&P 500
Table 24.2 Interest Coverage Ratios and Bond Ratings
Table 24.3 Income Statements—Chez Pierre
Table 24.4 Estimation of Inputs for Valuation: Valuation Motives
Table 24.5 Expected Earnings, Cash Flows, and Present Value
Table 24.6 Expected Cash Flows and Present Value
CHAPTER 25
Table 25.1 Target Firm Characteristics Given Acquisition Motive
Table 25.2 Status Quo Valuation of SAB Miller (in $ millions)
Table 25.3 Value of Control at SAB Miller
Table 25.4 Valuing an Acquisition
Table 25.5 Inbev and SAB Miller Consolidated—No synergy
Table 25.6 Value of Synergy
Table 25.7 Company Characteristics (Dalton and Lube & Auto)
Table 25.8 Value of Lube & Auto, Dalton Motors, and Combined Firm
Table 25.9 Tax Benefits from Depreciation—Congoleum
Table 25.10 Value of Debt Capacity—Lube & Auto and Dalton Motors
Table 25.11 Valuing SAB Miller for Inbev
Table 25.12 Forecasted Earnings and Reinvestment
Table 25.13 Expected Free Cashflows to the Firm
CHAPTER 26
Table 26.1 Real Estate Companies and REITs in the Market in 2023
Table 26.2 Returns by Asset Class
Table 26.3 Correlations Across Asset Classes: 1947–1982
Table 26.4 Returns, by Decade, by Asset Class
Table 26.5 Cash Flows to the Firm (Predebt) on Building
Table 26.6 Cash flows to the equity (post-debt) on building
Table 26.7 Property Pricing—Peer Group
CHAPTER 27
Table 27.1 Investment Classes—Value versus Price
Table 27.2 Expected Earnings to Taxi Operator
Table 27.3 Expected Earnings to Cab Driver/Owner
Table 27.4 Star Wars Franchise Value and Add-Ons
Table 27.5 Earnings in most recent year—Lutèce
Table 27.6 Expected After-tax Earnings—Lutèce
Table 27.7 Expected Cash flows from Trademark
Table 27.8 Returns on Fine Art versus Financial Investments 1961–2010
Table 27.9 Correlation between Investments: 1961–2010
Table 27.10 Most Highly Priced NFTs (as of 2023)
Table 27.11 Revenue Sharing, by Sports Franchise
Table 27.12 Operating Metrics, by Sports Franchise
Table 27.13 NBA Team Owners in 2023
Table 27.14 Clippers—Intrinsic Value
Table 27.15 Clippers—The Pricing
CHAPTER 28
Table 28.1 Valuing Continuing R&D at Biogen
Table 28.2 Inputs to Value Other Options to Delay
CHAPTER 29
Table 29.1 Inputs to Option Valuation: Financing Flexibility
Table 29.2 Reinvestment Needs at Home Depot
Table 29.3 Earnings, Value, and Internal Funds
CHAPTER 30
Table 30.1 Debt Breakdown by Duration
Table 30.2 Expected Cash Flows to the Firm
CHAPTER 31
Table 31.1 Trade-Off on Reinvestment Rate
Table 31.2 Competitive Advantages (Moats) at Companies
Table 31.3 The Value Enhancement Chain
Table 31.4 Cost of Capital and Debt Ratios: SAP
Table 31.5 Value Enhancement Actions: Who Is Responsible?
CHAPTER 32
Table 32.1 Expected FCFF and Value
Table 32.2 Valuation Inputs—Lululemon
Table 32.3 Cost of Capital—Lululemon
Table 32.4 EVA and Present Value—Lululemon
Table 32.5 EVA Valuation of Firm: EVA and Assets in Place
Table 32.6 Value Reduction with Higher EVA
Table 32.7 Trading Off Future Growth for Higher EVA
Table 32.8 EVA with High-Risk Strategy
CHAPTER 33
Table 33.1 Key Financial Variables—2001–2008
Table 33.2 Risk Type and Probabilistic Approaches
CHAPTER 34
Table 34.1 Most Widely Used Multiples by Sector
Cover
Table of Contents
Title Page
Copyright
Dedication
Preface to the Fourth Edition
Begin Reading
References
Index
End User License Agreement
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Fourth Edition
ASWATH DAMODARAN
www.damodaran.com
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Library of Congress Cataloging-in-Publication Data:
Damodaran, Aswath.
Investment valuation : tools and techniques for determining the value of any asset / Aswath Damodaran.—4th ed.
p. cm.—(Wiley finance series)
Includes bibliographical references and index.
ISBN 978-1-394-25460-6 (cloth); ISBN 978-1-394-25461-3 (ebk);ISBN 978-1-394-25462-0 (ebk); ISBN 978-1-394-26273-1 (paper);ISBN 978-1-394-26274-8 (ebk); ISBN 978-1-394-26275-5 (ebk)
1. Corporations—Valuation—Mathematical models. I. Title.
HG4028.V3 D353 2025
658.15—dc23 2024034300
I would like to dedicate this book to Michele, whose patience and support made it possible, to my four children— Ryan, Brendan, Kendra, and Kiran—who provided the inspiration, and to my two grandchildren—Noah and Lily—who provided the joy.
This is a book about valuation—the valuation of stocks, bonds, options, futures and real assets. It is a fundamental precept of this book that any asset can be valued, albeit imprecisely in some cases. I have attempted to provide a sense of not only the differences between the models used to value different types of assets, but also the common elements in these models.
The past two decades have been eventful ones for those interested in valuation for several reasons. First, the growth of Asian and Latin American markets brought emerging market companies into the forefront, and you will see the increased focus on these companies in this edition. Second, we saw the havoc wreaked by macroeconomic factors on company valuations during the bank crisis of 2008 and the pandemic in 2020, both which shook faith in markets and created new questions in valuation. The lessons I learned about financial fundamentals during these crises about risk-free rates, risk premiums, and cash flow estimation are incorporated into the text. Third, the past decade has seen the surge in platform companies, where the most impressive numbers about these companies are not in their operating metrics, but in the users and subscribers on their platforms. In this edition, we directly confront the question of how to value a subscriber, user, or customer, and use the answer to value these companies. Fourth, I have spent more time in the last decade talking about how valuations are bridges between stories and numbers, and in this edition, I have added a chapter explaining how to build these bridges. Finally, as meme stocks and crypto investments capture the imagination of some in the market, we look at pricing and valuing them.
With each shift, the perennial question arises: “Is valuation still relevant in this market?” and my answer remains unchanged, “Absolutely and more than ever.” As technology increasingly makes the printed page an anachronism, I have tried to adapt in many ways. First, this book will be available in e-book format, and hopefully will be just as useful as the print edition (if not more so). Second, every valuation in this book will be put on the website that will accompany this book (www.damodaran.com), as will a significant number of datasets and spreadsheets. In fact, the valuations in the book will be updated online, allowing the book to have a much closer link to real-time valuations.
In the process of presenting and discussing the various aspects of valuation, I have tried to adhere to four basic principles. First, I have attempted to be as comprehensive as possible in covering the range of valuation models that are available to an analyst doing a valuation, while presenting the common elements in these models and providing a framework that can be used to pick the right model for any valuation scenario. Second, the models are presented with real-world examples, warts and all, to capture some of the problems inherent in applying these models. There is the obvious danger that some of these valuations will appear to be hopelessly wrong in hindsight, but this cost is well worth the benefit. Third, in keeping with my belief that valuation models are universal and not market-specific, illustrations from markets outside the United States are interspersed throughout the book. Finally, I have tried to make the book as modular as possible, enabling a reader to pick and choose sections of the book to read, without a significant loss of continuity.
Every asset, financial as well as real, that is expected to generate cash flows in the future, has a value. The key to successfully investing in and managing these assets lies in understanding not only what the value is, but the sources of the value. It is undeniable that some assets are easier to value than others, and the details of valuation will vary from case to case. Thus, valuing of a real estate property will require different information and follow a different format than valuing a publicly traded stock. What is surprising, however, is not the differences in techniques across assets, but the degree of similarity in the basic principles of valuation.
This chapter lays out a philosophical basis for valuation, together with a discussion of how valuation is or can be used in a variety of frameworks, from portfolio management to corporate finance.
It was Oscar Wilde who described a cynic as one who “knows the price of everything, but the value of nothing”. He could very well have been describing some analysts and many investors, a surprising number of whom subscribe to the “bigger fool” theory of investing, which argues that the value of an asset is irrelevant as long as there is a “bigger fool” around willing to buy the asset from them. While this may provide a basis for some profits, it is a dangerous game to play, since there is no guarantee that such an investor will still be around when the time to sell comes.
A postulate of sound investing is that an investor does not pay more for an asset than it’s worth. This statement may seem logical and obvious, but it is forgotten and rediscovered at some time in every generation and in every market. There are many who argue that value is in the eye of the beholder, and that any price can be justified if there are other investors willing to pay that price. That is dangerous, at least as an investment starting point. Perceptions may be all that matter when the investment is a painting or sculpture, but investors do not (and should not) buy most assets for aesthetic or emotional reasons; financial assets are acquired for the cash flows expected on them. Consequently, perceptions of value have to be backed up by reality, which implies that the price paid for any asset should reflect the cash flows it is expected to generate. The models of valuation described in this book attempt to relate value to the level and expected growth of these cash flows.
Financial academics and practitioners use the words “price” and “value” interchangeably, with the former perhaps swayed by their early beliefs in efficient markets, where the two are expected to converge, and the latter by an assumption that these words measure the same things. In Figure 1.1, we draw a distinction between valuation and pricing, and argue that value and price are not only determined by different factors but require different tools. As the book’s title indicates, we will examine the details of how to value assets, and we will also look at how best to price those assets in later chapters.
Figure 1.1 Value versus Price—The Difference
It is true that large numbers of market participants, perhaps even most, are not investors, but instead choose to play the “pricing” game. In that game, winning is defined as buying at a low price and selling at a higher one, taking advantage of shifts in market mood and momentum, with value playing little or no role. Throughout this book, we will classify these participants as traders, and we will hope that they, too, will be able to find use for the pricing portions of this book.
As a final note, we will argue that no matter which side of the investing/pricing divide you fall on, you will benefit by understanding how the other side works. Thus, if you are a true believer in intrinsic value, you will find yourself become better at valuation, if you understand how traders price assets. Conversely, if you are a trader, focused on the pricing process, you will become a better trader, if you learn more about how investors think and value companies.
Like all analytical disciplines, valuation has developed its own set of myths over time. This section examines and debunks some of those myths and argues that the biggest challenges to valuation are not technical or mechanical, but come from the way we, as human beings, bring bias into out analyses and deal with uncertainty about the future and from the complexity that has been a by-product of access to data and powerful tools.
Valuation is neither the science that some of its proponents make it out to be nor the objective search for true value that idealists would like it to become. The models that we use in valuation may be quantitative, but the inputs leave plenty of room for subjective judgments. Thus, the final value that we obtain from these models is colored by the bias that we bring into the process. In fact, in many valuations, the price gets set first and the valuation follows.
The obvious solution is to eliminate all bias before starting on a valuation, but this is easier said than done. Given the exposure we have to external information, analyses, and opinions about a firm, it is unlikely that we embark on most valuations without some bias. In fact, a great deal of bias is subconscious. An investor who picks a company to value almost never does so with a blank slate, since that pick was probably triggered by something he or she heard about the company or read about it. In some cases, the bias can come from what you think about a company’s products or its managers. If, like me, you have been an Apple products user for four decades, you will be biased to finding Apple undervalued and Microsoft overvalued before you even look at either company’s numbers. Similarly, if you are an investor valuing Tesla in early 2024, it would be impossible for you to separate your views on Tesla from your views on Elon Musk, a man who evokes strong positive and negative reactions.