
- •Intended Audience
- •1.1 Financing the Firm
- •1.2Public and Private Sources of Capital
- •1.3The Environment forRaising Capital in the United States
- •Investment Banks
- •1.4Raising Capital in International Markets
- •1.5MajorFinancial Markets outside the United States
- •1.6Trends in Raising Capital
- •Innovative Instruments
- •2.1Bank Loans
- •2.2Leases
- •2.3Commercial Paper
- •2.4Corporate Bonds
- •2.5More Exotic Securities
- •2.6Raising Debt Capital in the Euromarkets
- •2.7Primary and Secondary Markets forDebt
- •2.8Bond Prices, Yields to Maturity, and Bond Market Conventions
- •2.9Summary and Conclusions
- •3.1Types of Equity Securities
- •Volume of Financing with Different Equity Instruments
- •3.2Who Owns u.S. Equities?
- •3.3The Globalization of Equity Markets
- •3.4Secondary Markets forEquity
- •International Secondary Markets for Equity
- •3.5Equity Market Informational Efficiency and Capital Allocation
- •3.7The Decision to Issue Shares Publicly
- •3.8Stock Returns Associated with ipOs of Common Equity
- •Ipo Underpricing of u.S. Stocks
- •4.1Portfolio Weights
- •4.2Portfolio Returns
- •4.3Expected Portfolio Returns
- •4.4Variances and Standard Deviations
- •4.5Covariances and Correlations
- •4.6Variances of Portfolios and Covariances between Portfolios
- •Variances for Two-Stock Portfolios
- •4.7The Mean-Standard Deviation Diagram
- •4.8Interpreting the Covariance as a Marginal Variance
- •Increasing a Stock Position Financed by Reducing orSelling Short the Position in
- •Increasing a Stock Position Financed by Reducing orShorting a Position in a
- •4.9Finding the Minimum Variance Portfolio
- •Identifying the Minimum Variance Portfolio of Two Stocks
- •Identifying the Minimum Variance Portfolio of Many Stocks
- •Investment Applications of Mean-Variance Analysis and the capm
- •5.2The Essentials of Mean-Variance Analysis
- •5.3The Efficient Frontierand Two-Fund Separation
- •5.4The Tangency Portfolio and Optimal Investment
- •Identification of the Tangency Portfolio
- •5.5Finding the Efficient Frontierof Risky Assets
- •5.6How Useful Is Mean-Variance Analysis forFinding
- •5.8The Capital Asset Pricing Model
- •Implications for Optimal Investment
- •5.9Estimating Betas, Risk-Free Returns, Risk Premiums,
- •Improving the Beta Estimated from Regression
- •Identifying the Market Portfolio
- •5.10Empirical Tests of the Capital Asset Pricing Model
- •Is the Value-Weighted Market Index Mean-Variance Efficient?
- •Interpreting the capm’s Empirical Shortcomings
- •5.11 Summary and Conclusions
- •6.1The Market Model:The First FactorModel
- •6.2The Principle of Diversification
- •Insurance Analogies to Factor Risk and Firm-Specific Risk
- •6.3MultifactorModels
- •Interpreting Common Factors
- •6.5FactorBetas
- •6.6Using FactorModels to Compute Covariances and Variances
- •6.7FactorModels and Tracking Portfolios
- •6.8Pure FactorPortfolios
- •6.9Tracking and Arbitrage
- •6.10No Arbitrage and Pricing: The Arbitrage Pricing Theory
- •Verifying the Existence of Arbitrage
- •Violations of the aptEquation fora Small Set of Stocks Do Not Imply Arbitrage.
- •Violations of the aptEquation by Large Numbers of Stocks Imply Arbitrage.
- •6.11Estimating FactorRisk Premiums and FactorBetas
- •6.12Empirical Tests of the Arbitrage Pricing Theory
- •6.13 Summary and Conclusions
- •7.1Examples of Derivatives
- •7.2The Basics of Derivatives Pricing
- •7.3Binomial Pricing Models
- •7.4Multiperiod Binomial Valuation
- •7.5Valuation Techniques in the Financial Services Industry
- •7.6Market Frictions and Lessons from the Fate of Long-Term
- •7.7Summary and Conclusions
- •8.1ADescription of Options and Options Markets
- •8.2Option Expiration
- •8.3Put-Call Parity
- •Insured Portfolio
- •8.4Binomial Valuation of European Options
- •8.5Binomial Valuation of American Options
- •Valuing American Options on Dividend-Paying Stocks
- •8.6Black-Scholes Valuation
- •8.7Estimating Volatility
- •Volatility
- •8.8Black-Scholes Price Sensitivity to Stock Price, Volatility,
- •Interest Rates, and Expiration Time
- •8.9Valuing Options on More Complex Assets
- •Implied volatility
- •8.11 Summary and Conclusions
- •9.1 Cash Flows ofReal Assets
- •9.2Using Discount Rates to Obtain Present Values
- •Value Additivity and Present Values of Cash Flow Streams
- •Inflation
- •9.3Summary and Conclusions
- •10.1Cash Flows
- •10.2Net Present Value
- •Implications of Value Additivity When Evaluating Mutually Exclusive Projects.
- •10.3Economic Value Added (eva)
- •10.5Evaluating Real Investments with the Internal Rate of Return
- •Intuition for the irrMethod
- •10.7 Summary and Conclusions
- •10A.1Term Structure Varieties
- •10A.2Spot Rates, Annuity Rates, and ParRates
- •11.1Tracking Portfolios and Real Asset Valuation
- •Implementing the Tracking Portfolio Approach
- •11.2The Risk-Adjusted Discount Rate Method
- •11.3The Effect of Leverage on Comparisons
- •11.4Implementing the Risk-Adjusted Discount Rate Formula with
- •11.5Pitfalls in Using the Comparison Method
- •11.6Estimating Beta from Scenarios: The Certainty Equivalent Method
- •Identifying the Certainty Equivalent from Models of Risk and Return
- •11.7Obtaining Certainty Equivalents with Risk-Free Scenarios
- •Implementing the Risk-Free Scenario Method in a Multiperiod Setting
- •11.8Computing Certainty Equivalents from Prices in Financial Markets
- •11.9Summary and Conclusions
- •11A.1Estimation Errorand Denominator-Based Biases in Present Value
- •11A.2Geometric versus Arithmetic Means and the Compounding-Based Bias
- •12.2Valuing Strategic Options with the Real Options Methodology
- •Valuing a Mine with No Strategic Options
- •Valuing a Mine with an Abandonment Option
- •Valuing Vacant Land
- •Valuing the Option to Delay the Start of a Manufacturing Project
- •Valuing the Option to Expand Capacity
- •Valuing Flexibility in Production Technology: The Advantage of Being Different
- •12.3The Ratio Comparison Approach
- •12.4The Competitive Analysis Approach
- •12.5When to Use the Different Approaches
- •Valuing Asset Classes versus Specific Assets
- •12.6Summary and Conclusions
- •13.1Corporate Taxes and the Evaluation of Equity-Financed
- •Identifying the Unlevered Cost of Capital
- •13.2The Adjusted Present Value Method
- •Valuing a Business with the wacc Method When a Debt Tax Shield Exists
- •Investments
- •IsWrong
- •Valuing Cash Flow to Equity Holders
- •13.5Summary and Conclusions
- •14.1The Modigliani-MillerTheorem
- •IsFalse
- •14.2How an Individual InvestorCan “Undo” a Firm’s Capital
- •14.3How Risky Debt Affects the Modigliani-MillerTheorem
- •14.4How Corporate Taxes Affect the Capital Structure Choice
- •14.6Taxes and Preferred Stock
- •14.7Taxes and Municipal Bonds
- •14.8The Effect of Inflation on the Tax Gain from Leverage
- •14.10Are There Tax Advantages to Leasing?
- •14.11Summary and Conclusions
- •15.1How Much of u.S. Corporate Earnings Is Distributed to Shareholders?Aggregate Share Repurchases and Dividends
- •15.2Distribution Policy in Frictionless Markets
- •15.3The Effect of Taxes and Transaction Costs on Distribution Policy
- •15.4How Dividend Policy Affects Expected Stock Returns
- •15.5How Dividend Taxes Affect Financing and Investment Choices
- •15.6Personal Taxes, Payout Policy, and Capital Structure
- •15.7Summary and Conclusions
- •16.1Bankruptcy
- •16.3How Chapter11 Bankruptcy Mitigates Debt Holder–Equity HolderIncentive Problems
- •16.4How Can Firms Minimize Debt Holder–Equity Holder
- •Incentive Problems?
- •17.1The StakeholderTheory of Capital Structure
- •17.2The Benefits of Financial Distress with Committed Stakeholders
- •17.3Capital Structure and Competitive Strategy
- •17.4Dynamic Capital Structure Considerations
- •17.6 Summary and Conclusions
- •18.1The Separation of Ownership and Control
- •18.2Management Shareholdings and Market Value
- •18.3How Management Control Distorts Investment Decisions
- •18.4Capital Structure and Managerial Control
- •Investment Strategy?
- •18.5Executive Compensation
- •Is Executive Pay Closely Tied to Performance?
- •Is Executive Compensation Tied to Relative Performance?
- •19.1Management Incentives When Managers Have BetterInformation
- •19.2Earnings Manipulation
- •Incentives to Increase or Decrease Accounting Earnings
- •19.4The Information Content of Dividend and Share Repurchase
- •19.5The Information Content of the Debt-Equity Choice
- •19.6Empirical Evidence
- •19.7Summary and Conclusions
- •20.1AHistory of Mergers and Acquisitions
- •20.2Types of Mergers and Acquisitions
- •20.3 Recent Trends in TakeoverActivity
- •20.4Sources of TakeoverGains
- •Is an Acquisition Required to Realize Tax Gains, Operating Synergies,
- •Incentive Gains, or Diversification?
- •20.5The Disadvantages of Mergers and Acquisitions
- •20.7Empirical Evidence on the Gains from Leveraged Buyouts (lbOs)
- •20.8 Valuing Acquisitions
- •Valuing Synergies
- •20.9Financing Acquisitions
- •Information Effects from the Financing of a Merger or an Acquisition
- •20.10Bidding Strategies in Hostile Takeovers
- •20.11Management Defenses
- •20.12Summary and Conclusions
- •21.1Risk Management and the Modigliani-MillerTheorem
- •Implications of the Modigliani-Miller Theorem for Hedging
- •21.2Why Do Firms Hedge?
- •21.4How Should Companies Organize TheirHedging Activities?
- •21.8Foreign Exchange Risk Management
- •Indonesia
- •21.9Which Firms Hedge? The Empirical Evidence
- •21.10Summary and Conclusions
- •22.1Measuring Risk Exposure
- •Volatility as a Measure of Risk Exposure
- •Value at Risk as a Measure of Risk Exposure
- •22.2Hedging Short-Term Commitments with Maturity-Matched
- •Value at
- •22.3Hedging Short-Term Commitments with Maturity-Matched
- •22.4Hedging and Convenience Yields
- •22.5Hedging Long-Dated Commitments with Short-Maturing FuturesorForward Contracts
- •Intuition for Hedging with a Maturity Mismatch in the Presence of a Constant Convenience Yield
- •22.6Hedging with Swaps
- •22.7Hedging with Options
- •22.8Factor-Based Hedging
- •Instruments
- •22.10Minimum Variance Portfolios and Mean-Variance Analysis
- •22.11Summary and Conclusions
- •23Risk Management
- •23.2Duration
- •23.4Immunization
- •Immunization Using dv01
- •Immunization and Large Changes in Interest Rates
- •23.5Convexity
- •23.6Interest Rate Hedging When the Term Structure Is Not Flat
- •23.7Summary and Conclusions
- •Interest Rate
- •Interest Rate
5.8The Capital Asset Pricing Model
Implementing the risk-expected return relation requires observation of the tangency port-
folio. However, it is impossible to derive the tangency portfolio simply from observed
historical returns on large numbers of assets. First, such an exercise would be extremely
complex and inaccurate, requiring thousands of covariance estimates. Moreover, using
historical average returns to determine means, and historical return data to estimate the
covariances and variances, would only create a candidate tangency portfolio that would
be useless for generating forward-looking mean returns. The required rates of return
derived from a risk-return relation based on betas with respect to such a tangency port-
folio would simply be the average of the historical rates of return used to find the tan-
gency portfolio. In the case of Dell, this procedure would generate Dell’s large histori-
cal average return as its expected return which, as suggested earlier, is a bad estimate.
Clearly, other procedures for identifying the true tangency portfolio are needed.
To put some economic substance into the risk-expected return relation described
by equation (5.4), it is necessary to develop a theory that identifies the tangency port-
folio from sound theoretical assumptions. This section develops one such theory, gen-
erally referred to as the Capital Asset Pricing Model (CAPM), which, as noted ear-
lier, is a model of the relation of risk to expected returns.
The major insight of the CAPM is that the variance of a stock by itself is notan
important determinant of the stock’s expected return. What is important is the market
beta of the stock, which measures the covariance of the stock’s return with the return
on a market index, scaled by the variance of that index.
Assumptions of the CAPM
As noted earlier, the two assumptions of mean-variance analysis are that:
1.Investors care only about the mean and variance of their portfolio’s returns.
2.Markets are frictionless.
To develop the CAPM, one additional assumption is needed:
3.Investors have homogeneous beliefs, which means that all investors reach the
same conclusions about the means and standard deviations of all feasible
portfolios.
The assumption of homogeneous beliefs implies that investors will not be trying to
outsmart one another and “beat the market” by actively managing their portfolios. On the
other hand, the assumption does not imply that investors can merely throw darts to pick
their portfolios. Ascientific examination of means, variances, and covariances may still be
of use, but every person will arrive at the same conclusions about the mean and standard
deviation of each feasible portfolio’s return after his or her own scientific examination.
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152Part IIValuing Financial Assets
The Conclusion of the CAPM
From these three assumptions, theorists were able to develop the Capital Asset Pricing
Model, which concludes that the tangency portfolio must be the market portfolio. The
next section details what this portfolio is and how practitioners implement it in the Cap-
ital Asset Pricing Model.
The Market Portfolio
The market portfoliois a portfolio where the weight on each asset is the market value
(also called the market capitalization) of that asset divided by the market value of all
risky assets.
Example 5.7:Computing the Weights of the Market Portfolio
Consider a hypothetical economy with only three investments:the stocks of Hewlett Packard
(HP), IBM, and Compaq (CPQ).As of mid-December, 2000, the approximate prices per share
of these three stocks are HP 5 $33, IBM 5 $95, and CPQ 5 $20.25.The approximate num-
ber of shares outstanding for the three firms are 2 billion (HP), 1.758 billion (IBM), and 1.7
billion (CPQ).What are the portfolio weights of the market portfolio?
Answer:The market capitalization of the stocks is
-
HP
$33
2 billion
$66 billion
IBM
$95
1.758 billion
$167 billion
CPQ
$20.25
1.7 billion
$35 billion
Total market capitalization $268 billion
The market portfolio’s weights (with decimal approximations) on the three stocks are therefore
$66 billion
0.25
HP
$268 billion
$167 billion
0.62
IBM
$268 billion
$35 billion
0.13
CPQ
$268 billion
In Example 5.7, the return of the market portfolio, .25r˜.62r˜.13r˜,is
HPIBMCPQ
the relevant return with which one computes the betas of the three stocks if the CAPM
is true. The betas determine the expected returns of the three stocks. Of course, the
world contains many investment assets, not just three stocks, implying that the actual
market portfolio has a weight on every asset in the world.
With all the world’s assets to consider, the task of calculating the market portfolio
is obviously impractical. As claims to the real assets of corporations, all stocks and cor-
porate bonds listed on all world exchanges and those traded over the counter would
have to be included along with all real estate.
Since many of these investments are not traded frequently enough to obtain prices
for them, one must use a proxy for the market portfolio. Afrequently used proxy is the
S&P500, a value-weighted portfolio, meaning that the portfolio weight on each of its
500 typically larger market capitalization stocks—traded on the New York Stock
Exchange (NYSE), the American Stock Exchange (AMEX), and the Nasdaq over-the-
counter market—is proportional to the market value of that stock. Another commonly
used proxy is the value-weighted portfolio of all stocks listed on the NYSE, Nasdaq,
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and the Capital Asset |
Companies, 2002 |
Strategy, Second Edition |
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Chapter 5
Mean-Variance Analysis and the Capital Asset Pricing Model
153
and AMEX. Still, these proxies ignore vast markets (for example, U.S. residential and
commercial real estate, the Tokyo Stock Exchange, and the Tokyo real estate market),
making them poor substitutes for the true market portfolio.
Why the Market Portfolio Is the Tangency Portfolio
Example 5.7 considered a hypothetical world that contained only three risky invest-
ments: the stocks of Hewlett Packard, IBM, and Compaq. Suppose that there also is a
risk-free asset available for investment and that only two investors exist in this world:
Jack and Jill.
What portfolio will Jack select? Mean-variance analysis implies that Jack will hold
the tangency portfolio along with either a long or a short position in the risk-free invest-
ment. The proportion of his portfolio in the risk-free investment will depend on Jack’s
aversion to risk. Jill also will invest in some combination of the tangency portfolio and
the risk-free investment.
In Example 5.7, the market values of all HP, IBM, and CPQ stock are $66 billion,
$167 billion and $35 billion, respectively. Since Jack and Jill are the only two investors
in the world, their joint holdings of HP, IBM, and CPQ also must total $66 billion,
$167 billion, and $35 billion. It should be apparent that the tangency portfolio must
contain some shares of HP. Otherwise, neither Jack nor Jill will hold HPshares, imply-
ing that the supply of HPstock ($66 billion) would not equal its demand ($0).
If supply does equal demand and Jack and Jill both hold the tangency portfolio,
Jack must hold the same fraction of all the outstanding shares of the three stocks. That
is, ifJack holds one-half of the 2 billion shares of HPstock, he must also hold one-
half of the 1.758 billion shares of IBM stock, and one-half of the 1.7 billion shares of
CPQ. In this case, Jill would own the other half of all three stocks. The respective pro-
portions of their total stock investment spent on each of the three stocks will thus be
the market portfolio’s proportions; that is, approximately 0.25, 0.62, and 0.13 (see
Example 5.7).
To understand why this must be true, consider what would happen if Jack held one-
half of the shares of HP, but only one-third of IBM’s shares. In this case, the ratio of
Jack’s portfolio weight on HPto his weight on IBM would exceedthe 0.25/0.62 ratio
of their weights in the market portfolio. This implies that Jill would have to hold one-
half of the shares of HPand two-thirds of the shares of IBM for supply to equal
demand. But then the ratio of Jill’s weight on HPto her weight on IBM, being less
thanthe 0.25/0.62 ratio of the market portfolio, would differ from Jack’s, implying that
Jack and Jill could not both be on the capital market line.
In short, because both Jack and Jill hold the tangency portfolio, they hold the risky
investments in the exact same proportions. Because their holdings of risky stocks add
up to the economy’s supply of risky stocks, the market portfolio must also consist of
risky investments allocated with these same proportions. It follows that the market port-
folio is the tangency portfolio. The same conclusion, summarized in Result 5.6, is
reached whether there are two investors in the world or billions.
-
Result 5.6
Under the assumptions of the CAPM, and if a risk-free asset exists, the market portfolio isthe tangency portfolio and, by equation (5.4), the expected returns of financial assets aredetermined by
-
rr (Rr)
(5.5)
fMf
where Ris the mean return of the market portfolio, and is the beta computed against
M
the return of the market portfolio.
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327 Titman: FinancialII. Valuing Financial Assets
5. Mean
327 Variance Analysis© The McGraw
327 HillMarkets and Corporate
and the Capital Asset
Companies, 2002
Strategy, Second Edition
Pricing Model
154Part IIValuing Financial Assets
Equation (5.5) is a special case of equation (5.4) with the market portfolio used as the
tangency portfolio. By identifying the tangency portfolio, the CAPM provides a risk-
return relation that is not only implementable, but is implemented in practice.
Result 5.6 is not greatly affected by the absence of a risk-free asset or by differ-
ent borrowing and lending rates. In these cases, the market portfolio is still mean-
variance efficient with respect to the feasible set of portfolios constructed solely from
risky assets. Equation (5.5) remains the same except that ris replaced by the expected
f
return of a risky portfolio with a beta of zero.