
- •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
Implications of Value Additivity When Evaluating Mutually Exclusive Projects.
The value additivity property makes it easy to understand how to properly select the
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best project from among a group of projects that are mutually exclusive. For exam-
ple, a rm may choose to congure a manufacturing plant to produce either tractors
or trucks, but it cannot use the plant for both. Value additivity implies that the best
of these mutually exclusive projects is the one with the largest positive net present
value.
-
Result 10.3
Given a set of investment projects, each with positive NPV,one should select the projectwith the largest positive NPVif allowed to adopt only one of the projects.
One way to understand this is to recognize that adopting the project with the cash
ows that have the largest NPVgenerates the largest net present value of the rm’s
aggregated cash ows. This is because value additivity implies that the NPVof the rm,
a collection of projects, is the sum of the NPVof the rm without the adoption of any
of the proposed projects plus the NPVof the incremental cash ows of whichever proj-
ect is adopted.
Another way to understand that the project with the largest NPVis the best is that
the cost of adopting one of two mutually exclusive projects, each with positive NPV,
is the forgone cash ows of the other project, not a zero NPVinvestment in the nan-
cial markets. Recall that the concept of incremental cash ows compares the cash ows
of the rm with the project with the cash ows of the rm without the project. With
mutual exclusivity, not adopting a particular project means that the rm adopts its next
best alternative project, provided that the latter has positive NPV.Thus, the true incre-
mental cash ows of a particular project are the difference between the cash ows of
the project and those of the forgone alternative. By value additivity, or more precisely
“subtractivity,” the NPVof this differenced cash ow stream is the difference between
the NPVs of the two projects. Example 10.2 illustrates this point.
Example 10.2:Mutually Exclusive Projects and NPV
The law rm of Jacob and Meyer is small and has the resources to take on only one of four
cases.The cash ows for each of the four legal projects and their net present values dis-
counted at the rate of 10 percent per period are given below.
-
Cash Flows (in $000s)
at Date
Net Present Value
012
(in $000s)
-
Project A
7
11
12.1
13
-
Project B
12212.1
9
-
Project C
54424.2
15
-
Project D
1110
9
Which is the best project?
Answer:These cash ows are calculated as the cash ows of the rm with the project
less the cash ows of the rm without any of the four projects.Clearly, project C has the
highest net present value and should be adopted.
It is possible to calculate the cash ows differently.With mutual exclusivity, the cost of
adopting one of the projects is the loss of the others.Hence, computation of the cash ows
relative to the best alternative should provide an equally valid calculation.The best alterna-
tive to projects A, B, and D is project C.The best alternative to project C is project A.The
appropriate cash ow calculation subtracts the cash ows of the best alternative and is
described with the pairwise project comparisonsbelow:
-
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338Part IIIValuing Real Assets
-
Cash Flows (in $000s)
at Date
Net Present Value
012
(in $000s)
-
Project A (less C)
2
33
36.3
2
Project B (less C)
4
22
12.1
6
Project C (less A)
2
33
36.3
2
Project D (less C)
4
33
24.2
6
Only project C has a positive net present value.Thus, selecting the project with the largest
positive net present value, as in the rst set of NPVcalculations, is equivalent to picking the
only positive net present value project, when cash ows are computed relative to the best
alternative.
We have assumed here that mutual exclusivity implies that only one project can be
selected. Example 10.3 discusses how we might generalize this.
Example 10.3:Ranking Projects
Suppose that it is possible to adopt any two of the four positive NPVprojects from Exam-
ple 10.2.Which two should be selected?
Answer:Projects A and C have the two largest positive NPVs and thus should be
adopted.
Using NPVwith Capital Constraints
The last subsection considered the possibility of having mutually exclusive projects
because of physical constraints. Among those was the possibility that some important
input was in short supply, perhaps land available for building a manufacturing facility
or managerial time.
This subsection considers the possibility that the amount of capital the rm can
devote to new investments is limited. For truly riskless projects, these capital con-
straintsare unlikely to be important because it is almost always possible to obtain out-
side nancing for protable riskless projects. However, the cash ows of most major
projects are uncertain, and their probability distributions are difcult to verify, so the
availability of outside capital for these projects may be constrained.
Protability Index.We are concerned here with how a corporation, constrained in
its choice owing to a limited supply of capital, should allocate the capital that it can
raise.10Specically, this subsection introduces an extension of the net present value
rule known as the protability index, which is the present value of the project’s future
cash ows divided by C, the negative of the initial cash ow, which is the initial
0
cost of the project. In the absence of a capital constraint, the value maximizing rule
with the protability index is one that adopts projects with a protability index greater
than 1 if Cis negative. (If Cis positive, a rm should adopt projects with a prof-
00
itability index of less than 1.) This is simply another form of the net present value rule.
For example, with annual cash ows, denote
10Parts
IVand Vof the text explain why these capital constraints exist.
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Chapter 10
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CCC
12T
PV . . .
rr)2T
1(1(1r)
12T
The net present value rule says that one should select projects for which
CPV0
0
or equivalently
PVC
0
or
PVPV
1 if C 0 and 1 if C 0
C0C0
00
The protability index can be particularly useful if Cis negative for all projects
0
under consideration and if there is a capital constraint in the initial period. If the projects
under consideration can be scaled up or down to any degree, the project with the largest
protability index exceeding 1 is the best. This point is demonstrated in Example 10.4.
Example 10.4:The Protability Index
There is a capital constraint of $10,000 in the initial period.The two scalable projects avail-
able for investment are projects B and C from Example 10.2.The cash ows, NPVs at 10per-
cent, and protability indexes are given below.
Cash Flow (in $000s)
at DateNet Present
ValuesProtability
012(in $000s)Index
-
Project B
12.1
9
10
122
-
Project C
24.2
15
4
544
Which is the better project?
Answer:Project B is the best because it gives the biggest “bang per buck.”For the max-
imum initial expenditure of $10,000, it is possible to run 10 B projects, but only 2 C projects.
The old net present value rule calculation is deceiving here because it reects the benet
of adopting only one project.But adopting 10 B projects would yield an NPVof $90,000,
which exceeds $30,000, the NPVfrom two C projects.The protability index reects this
because it represents the present value of future cash ows per dollar invested.
Net Protability Rate.Perhaps a better representation of the relative protability of
two investments is offered by the net protability rate, where the
Net protability rate (1 Risk-free rate) (Protability index) 1
If Cis negative, the net protability rate represents the additional value next period
0
of all future cash ows per dollar invested in the initial period. It is, in essence, the
net present value translated into a rate of return.11
11The net protability rate amortizes the project’s net present value over the rst period of the
project’s life. It can be used to make decisions about the economic protability of both riskless and risky
projects.
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340Part IIIValuing Real Assets
Using NPVto Evaluate Projects That Can Be Repeated over Time
Capital allocation takes place in the presence of many different kinds of constraints, so
it is often inappropriate to look at projects in isolation. One type of constraint is a space
constraint, which would exist, for example, if there was space for only one piece of
equipment on the shop oor. Here, the mere fact that projects have different lives may
affect the choice of project. Longer-lived projects use space, the scarce input, to a
greater degree and should be penalized in some fashion. Example 10.5 demonstrates
how to solve a capital allocation problem with a space constraint.
Example 10.5:Evaluating Projects with Different Lives
Two types of canning machines, denoted A and B, can be placed only in the same corner
of a factory.Machine A, the old technology, has a life of two periods.Machine B costs more
to purchase but cans products faster.However, machine B wears out more quickly and has
a life of only one period.The delivery and setup of each machine takes place one period
after initially paying for it.Immediately upon the setup of either machine, positive cash ows
begin to be produced.The cash ows from each machine and the net present values of their
cash ows at a discount rate of 10 percent are as follows:
Cash Flow (in $millions)
at Date
Net Present Value
012(in $millions)
-
Machine A
.8
1.1
1.21
1.2
Machine B
1.9
3.30
1.1
It appears that machine A is a better choice.Is this true?
Answer:A second picture tells a different story.
Cash Flow (in $millions)
at Date
Net Present Value
012(in $millions)
-
Machine A
.8
1.1
1.21
1.2
First machine B
1.9
3.3
1.1
Second machine B
1.9
3.30
1.0
-
Sum of the two
B machines
1.9
1.4
3.30
2.1
Over the life of machine A, one could have adopted machine B, used it to the end of its
useful life, purchased a second machine B, and let it live out its useful life as well.In this
case, machine B seems to dominate.
Example 10.5 points out the value of being able to repeat a project over time. One
makes an appropriate comparison between repeatable mutually exclusive projects only
after nding a common date where, after repeating in time, both projects have lived
out their full lives. This date is the least common multiple of the terminal dates of the
projects under consideration.
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Chapter 10
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341
Two other approaches also can help in the selection between repeatable, mutually
exclusive projects with different lives. One of these approaches repeats the project in
time innitely. It values the project’s cash ows as the sum of the present values of per-
petuities. The other approach computes the project’s equivalent annual benet; that is,
the periodic payment for an annuity that ends at the same date and has the same NPV
as the project. The project with the largest equivalent annual benet is the best project.
At a 10 percent discount rate, the cash ows at dates 0, 1, and 2 of machine Afrom
Example 10.5 (respectively, $0.8 million, $1.1 million, and $1.21 million) have the same
present value (as cash ows of $0.63 million at date 1 and $0.63 million at date 2). The
equivalent annual benet of machine Ais thus $0.63 million. Similarly, the cash ows
at dates 0 and 1 of machine B from Example 10.5 (respectively, $1.9 million and $3.3
million) have the same present value as a cash ow of $1.21 million at date 1. The
equivalent annual benet of machine B is thus $1.21 million. Since the equivalent annual
benet of machine B exceeds the equivalent annual benet of machine A, machine B is
the better project given the factory space constraint described in Example 10.5.