
- •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
8.4Binomial Valuation of European Options
Chapter 7 illustrated how to value any derivative security with the risk-neutral valua-
tion method. Valuing European options with this method is simply a matter of apply-
ing the risk-neutral probabilities to the expiration date values of the option and dis-
counting the risk-neutral weighted average at the risk-free rate. This section applies the
risk-neutral valuation method to algebraic symbols that represent the binomial expira-
tion date values of a European call option in order to derive an analytic formula for
valuing European call options. (Put-call parity can be used to obtain the European put
formula.) To simplify the algebra, assume that the one-period risk-free rate is constant,
and that the ratio of price in the next period to price in this period is always uor d.
11Proper risk management is important in the management of portfolios and corporations. Acasual
reading of the business press would have you believe that all derivative securities are extremely risky.
Here, however, the acquisition of protective puts can reduce risk by placing a floor on one’s losses.
-
Grinblatt
560 Titman: FinancialII. Valuing Financial Assets
8. Options
© The McGraw
560 HillMarkets and Corporate
Companies, 2002
Strategy, Second Edition
272 |
Part IIValuing Financial Assets |
EXHIBIT8.6 |
Tree Diagram forthe Value of the Stock (Above Node) and the Call Option (Below Node) Nearthe Expiration Date |
uS 0
-
U
S 0
max [uS – K, 0]
0
-
?
dS 0
1–
D
max [dS – K, 0]
0
This section first analyzes the problem of valuing a European call one period before
expiration. It then generalizes the problem to one of valuing a call Tperiods before
expiration. According to Result 8.4, if there are no dividends, the formula obtained also
applies to the value of an American call.
Exhibit 8.6 illustrates the investor’s view of the tree diagram one period before the
option expiration date. Both the values of the stock (above the nodes) and the call
option (below the nodes) are represented.12We noted in Chapter 7 that it is possible
to value the cash flows of any derivative security after computing the risk-neutral prob-
abilities for the stock. The hypothetical probabilities that would exist in a risk-neutral
world must make the expected return on the stock equal the risk-free rate. The risk-
neutral probabilities for the up and down moves that do this, and 1 , respectively,
satisfy
1r d
f
u d
and
u 1 r
1 f
u d
where
uratio of next period’s stock price to this period’s price if the up state occurs
dratio of next period’s stock price to this period’s price if the down state
occurs
rrisk-free rate
f
Discounting the risk-neutral expected value of the expiration value of the call at the
risk-free rate yields the proper no-arbitrage call value c, as a function of the stock
0
price, S, in this simple case, namely
0
12The
expiration date prices of the stock and call are at the two circular nodes on the right-hand side
of the tree diagram, Uand D,in Exhibit 8.6. The prices one period before are at the single node on the
left-hand side.
Grinblatt |
II. Valuing Financial Assets |
8. Options |
©
The McGraw |
Markets and Corporate |
|
|
Companies, 2002 |
Strategy, Second Edition |
|
|
|
-
Chapter 8
Options
273
max[uS K, 0](1 )max[dS K, 0]
c00
01r
f
With Nperiods to expiration, the risk-neutral expected value of the expiration
value of the call, discounted at the risk-free rate, again generates the current no-
arbitrage value of the call. Now, however, there are N1 possible final call values,
each determined by the number of up moves, 0, 1, . . . , N. There is only one path for
N
Nup moves, and the risk-neutral probability of arriving there is . The value of the
option with a strike price of Kat this point is max[0, uNS K]. For N 1 up moves,
0
the value of the option is max[0, uN 1dS K], which multiplies the risk-neutral
0
probability of N 1(1 ). However, there are Nsuch paths, one for each of the N
dates at which the single down move can occur. For N 2 up moves, each path
to max[0, uN 2d2 N 2(1 )2
SK] has a risk-neutral probability of . There are
0
N(N 1)/2 such paths.
In general, for jup moves, j0, . . . , N, each path has a risk-neutral probabil-
N!
ity of j )N j, and there are such paths to the associated value of
(1
j!(N j)!
max[0, ujdN jS K].13Therefore, the “expected” future value of a European call
0
option, where the expectation uses the risk-neutral probabilities to weight the outcome,
is
N
N!
jN jjdN jS
(1 )max[0, uK]
j!(N j)!0
j0
This expression, discounted at the risk-free rate of rper binomial period, gives the
f
value of the call option.
-
Result 8.7
(The binomial formula.) The value of a European call option with a strike price of KandNperiods to expiration on a stock with no dividends to expiration and a current value ofSis
0
-
N
1
N!
c
j
N jmax[0, jd
N jS
(8.2)
(1
)u
K]
0
(1r)N
0
j!(N
1)!
f
j0
where
rrisk-free return per period
f
risk-neutral probability of an up move
uratio of the stock price to the prior stock price given that the up state has occurred
over a binomial step
dratio of the stock price to the prior stock price given that the down state has occurred
over a binomial step
Example 8.5 applies this formula numerically.
Example 8.5:Valuing a European Call Option with the Binomial Formula
Use equation (8.2) to find the value of a three month at-the-money call option on Dell, trad-
ing at $32 a share.To keep the computations simple, assume that r0, u2, d.5,
f
and the number of periods (computed as years) N3.
Answer:Exhibit 8.7 illustrates the tree diagram for Dell’s stock and call option.The stock
can have a final value (seen on the right-hand side of the diagram) of $256 (three up moves
13The
expression n! means n(n1)(n2) . . . 3 2 1, with the special case of 0! being equal
to 1.
-
Grinblatt
564 Titman: FinancialII. Valuing Financial Assets
8. Options
© The McGraw
564 HillMarkets and Corporate
Companies, 2002
Strategy, Second Edition
274 |
Part IIValuing Financial Assets |
EXHIBIT8.7 |
Binomial Tree Diagram forthe Value of Dell Stock (Above Node) and the Dell Call Option (Below Node) |
$256
-
UUU
1/3
$224
$128
-
UU
1/3
?
$64
$64
2/3
UUD
U
1/3
1/3
$32
$32
$32
?
2/3
UD
1/3
?$16
?
$16
2/3
2/3
D
UDD
1/3
?
$8
$0
2/3
DD
-
?
$4
2/3
DDD
$0
to node UUU), $64 (two up moves to node UUD), $16 (one up move to node UDD), or $4
3S
(0 up moves to node DDD).The corresponding values for the option are $224u
0
11r d2
2f
K,$32udS K,$0, and $0.Since and (1 )for these values
03u d3
of u, d, and r, the expected future value of the option using risk-neutral probabilities is
f
3223
112122
($256 $32)3($64 $32)3($0)($0)$15.41
333333
Since the discount rate is 0, $15.41 is also the value of the call option.