- •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
Implementing the Tracking Portfolio Approach
If the financial manager identifies a tracking portfolio that is mean-variance efficient,
valuation is a straightforward task. For example, if the CAPM holds, simply knowing
the $5 million (market portfolio) and $5 million (risk-free asset) composition of the
Hilton casino tracking portfolio indicates that the project’s present value is $10 million.
The manager does not need to know the expected return of the market, the risk-free
return, or even the expected cash flow of Hilton to compute this present value.
This situation, however, is rare. For example, we might be able to look at traded
casino stocks and compute their average beta as .5, but how would we know that $5
million is the correct investment in the market portfolio without first estimating the
expected future cash flow and the expected return of the market portfolio?
5Discounting the expected cash flow at the tracking portfolio’s expected return generates the present
value only if the present value is of the same sign (positive or negative) as the expected cash flow and
both the present value and expected cash flow are nonzero.For example, as either the present value or
expected cash flow (but not both) approach zero, the expected return (i.e., the discount rate) approaches
(plus or minus) infinity. In such cases, we have to abandon the risk-adjusted discount rate method, and
instead use the certainty equivalent method (discussed later in the chapter) to generate present values.
-
Grinblatt
764 Titman: FinancialIII. Valuing Real Assets
11. Investing in Risky
© The McGraw
764 HillMarkets and Corporate
Projects
Companies, 2002
Strategy, Second Edition
376Part IIIValuing Real Assets
Estimating Tracking Portfolios without Expected Cash Flows orReturns.There
are a few ways to estimate a tracking portfolio without knowing expected returns or
expected cash flows. One way arises when there is perfect or almost perfect tracking.
Because tracking error that is zero or close to zero can be ignored, perfect or almost
perfect tracking has a further advantage: Afinancial manager can use any combination
of financial assets to track the investment, including those that are not mean-variance
efficient. This approach is clearly superior to the CAPM/APTapproaches, which gen-
erate substantial tracking error because of the restrictive composition of their tracking
portfolios but nevertheless imply that the tracking error has zero present value. As a
first pass, a manager should try to identify a tracking portfolio with minimum tracking
error variance and, only when this variance is large, turn to asset pricing models that
specify a tangency portfolio as the critical tracking instrument.
Using the Market Portfolio orFactorPortfolios in Computing the Tracking
Portfolio.In most cases, the existence of tracking error necessitates the use of a mar-
ket portfolio or a set of factor portfolios, combined with a risk-free asset, to track a
project. However, the specification of the appropriate mix of financial assets in the
tracking portfolio can be complicated.
Linking Financial Asset Tracking to Real Asset Valuation with the SML
Despite this complexity, it is very important to determine, as best as one can, the proper
mix of assets in the tracking portfolio, especially when there is tracking error. In this
subsection, we use the securities market line to illustrate why being careless about this
estimation can be costly.
The returns of risky zero-NPVinvestments, such as financial assets, can be graphed
as lying on the securities market line. This line (see Exhibit 11.1) is based on the risk-
expected return relation developed from the tangency portfolio discussion in Chapter 5.
EXHIBIT11.1Real Assets and the Securities Market Line
-
Mean
return
Securities
R T
market line
A: positive NPV
A**
-
Wealth
B: negative NPV
created
A*: NPV = 0
-
r f
Beta with
return of the
C
tangency
0
1
portfolio
Grinblatt |
III. Valuing Real Assets |
11. Investing in Risky |
©
The McGraw |
Markets and Corporate |
|
Projects |
Companies, 2002 |
Strategy, Second Edition |
|
|
|
-
Chapter 11
Investing in Risky Projects
377
Having a cash flow with return beta of —computed with respect to the tangency port-
folio—means that we can track the cash flow per dollar of present value with a port-
folio that has a weight of on the tangency portfolio and a weight of 1 on the
risk-free asset. In the Hilton example, the of the project return and thus the weight
on the market portfolio is 12
.
Positive NPVprojects plot above the securities market line at, for example, point
A. Conversely, negative NPVprojects plot below the securities market line at point
B. Expected returns on the projects in Exhibit 11.1 are computed using the cost of
initiating the project as the baseprice.Since these costs can be either above or
below the present value of the project’s future cash flows, the expected returns cal-
culated in this manner can plot above or below the securities market line. When a
project’s future cash flows are sold to the financial markets as in the Thermo Elec-
tron discussion in the opening vignette, returns are computed with the present value
as the base price. Hence, a positive NPVproject, such as point Ain Exhibit 11.1,
when spun off to the financial markets, would lie at point A*. The movement from
Ato its counterpart A* on the securities market line signifies that wealth is created
by adopting the project and spinning it off to the securities markets. This wealth
arises because the firm can sell those future cash flows for more than it costs to
produce them.
The key to recognizing a positive NPVproject is to know the project’s beta. If beta
is overestimated—for example, if the project at point Ais assumed to have a beta at
point Cand thus is erroneously interpreted as being at point A**—a positive NPVproj-
ect can mistakenly appear to have a negative NPV.It is also possible to underestimate
the betas of negative NPVprojects, which could lead to adoptions of bad projects. Thus,
it is very important to understand how to best identify the project’s beta. The next sec-
tion discusses this issue at great length.
