
- •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
Implied volatility
-
Deep in
Deep out of
the money
the money
Strike
price
8.11 Summary and Conclusions
This chapter developed the put-call parity formula, relat-The pricing of both American calls on dividend-payinging the prices of European calls to those of European puts,stocks and American puts cannot be derived from Euro-and used it to generate insights into minimum call values,pean call pricing formulas because it is sometimes optimalpremature exercise policy for American calls, and the rel-to exercise these securities prematurely. This chapter usedative valuation of American and European calls. The put-the binomial method to show how to price these more com-call parity formula also provided insights into corporateplicated types of options.
securities and portfolio insurance.This chapter also discussed a number of issues relating
This chapter also applied the results on derivative secu-to the implementation of the theory, including (1) the esti-rities valuation from Chapter 7 to price options, using twomation of volatility and its relation to the concept of an im-approaches: the binomial approach and the Black-Scholesplied volatility, (2) extending the pricing formulas to com-approach. The results on European call pricing with theseplex underlying securities, and (3) the known empiricaltwo approaches can be extended to European puts. Thebiases in option pricing formulas. Despite a few biases input-call parity formula provides a method for translatingthe Black-Scholes option pricing formula, it appearsthe pricing results with these models into pricing results forthatthe formulas work reasonably well when properlyEuropean puts.implemented.
Key Concepts
Result 8.1: |
(The put-call parity formula.) If no |
Result 8.2: |
It never pays to exercise an American call |
|
dividends are paid to holders of the |
|
option prematurely on a stock that pays no |
|
underlying stock prior to expiration, then, |
|
dividends before expiration. |
|
assuming no arbitrage |
Result 8.3: |
An investor does not capture the full value |
|
|
|
of an American call option by exercising |
|
c pS PV(K) |
|
|
|
000 |
|
between ex-dividend or (in the case of a |
|
That is, a long position in a call and a short |
|
bond option) ex-coupon dates. |
|
position in a put sells for the current stock |
|
|
|
|
Result 8.4: |
If the underlying stock pays no dividends |
|
price less the strike price discounted at the |
|
|
|
|
|
before expiration, then the no-arbitrage |
|
risk-free rate. |
|
|
|
|
|
value of American and European call |
|
|
|
options with the same features are the same. |
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Chapter 8
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Result 8.5: |
(Put-callparityformulageneralized.) |
frictionless markets, and has a constant |
|
c pS PV(K) PV(div). The |
variance, then, for a constant risk-free rate, |
|
000 |
|
|
difference between the no-arbitrage values |
the value of a European call option on that |
|
of a European call and a European put with |
stock with a strike price of Kand Tyears to |
|
the same features is the current price of the |
expiration is given by |
|
stock less the sum of the present value of |
|
|
|
cSN(d) PV(K)N(d T) |
|
the strike price and the present value of all |
0011 |
|
dividends to expiration. |
where |
Result 8.6: |
It is possible to view equity as a call option |
|
|
|
lnS/PV(K) T |
|
|
0 |
|
on the assets of the firm and to view risky |
d |
|
|
1 T2 |
|
corporate debt as riskless debt worth PV(K) |
|
|
plus a short position in a put option on the |
The Greek letter is the annualized standard |
|
assets of the firm ( p) with a strike price |
deviation of the natural logarithm of the |
|
0 |
|
|
of K. |
stock return, ln( ) represents the natural |
Result 8.7: |
(The binomial formula.) The value of a |
logarithm, and N(z) is the probability that a |
|
European call option with a strike price of |
normally distributed variable with a mean |
|
Kand Nperiods to expiration on a stock |
of zero and variance of 1 is less than z. |
|
with no dividends to expiration and a |
Result 8.9:As the volatility of the stock price |
|
current value of Sis |
increases, the values of both put and call |
|
0 |
|
|
N |
options written on the stock increase. |
|
1N! |
|
|
|
Result 8.10:An American call (put) option should not |
|
c |
|
|
0r)N |
|
|
(1 j!(Nj)! |
|
|
fj0 |
|
|
|
be prematurely exercised if the forward |
|
jN jmax[0, jdN jS |
price of the underlying asset at expiration, |
|
(1 )uK] |
|
|
|
|
|
0 |
|
|
|
discounted back to the present at the |
|
where |
|
|
|
risk-free rate, either equals or exceeds |
|
rfrisk-free return per period |
(is less than) the current price of the |
|
risk-neutral probability of an up |
underlying asset. As a consequence, if one |
|
move |
is certain that over the life of the option this |
|
uratio of the stock price to the prior |
will be the case, American and European |
|
stock price given that the up state |
options should sell for the same price if |
|
has occurred over a binomial step |
there is no arbitrage. |
|
dratio of the stock price to the prior |
Result 8.11:If the domestic interest rate is greater (less) |
|
stock price given that the down |
than the foreign interest rate, the American |
|
state has occurred over a binomial |
option to buy (sell) domestic currency in |
|
step |
exchange for foreign currency should sell |
Result 8.8: |
(The Black-Scholes formula.) If a stock that |
for the same price as the European option to |
|
pays no dividends before the expiration of |
do the same. |
|
an option has a return that is lognormally |
|
|
distributed, can be continuously traded in |
|
Key Terms
American option258 |
ex-dividend value277 |
|
Black-Scholes formula279 |
exercise commencement date |
259 |
compound option269 |
implied volatility282 |
|
continuous-time models278 |
portfolio insurance269 |
|
cum-dividend value277 |
pseudo-American value279 |
|
delta284 |
put-call parity formula261 |
|
discrete models278 |
smile effect291 |
|
European option258 |
volatility279 |
|
ex-dividend date266 |
|
|
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604 Titman: FinancialII. Valuing Financial Assets
8. Options
© The McGraw
604 HillMarkets and Corporate
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294Part IIValuing Financial Assets
Exercises
8.1. |
You hold an American call option with a $30 strike |
described above? Express your answer |
8.2. |
price on a stock that sells at $35. The option sellsfor $5 one year before expiration. Compare thecash flows at expiration from (1) exercising the option now and putting the $5 proceeds in a bankaccount until the expiration date and (2) holding onto the option until expiration, selling short the stock, and placing the $35 you receive into thesame bank account. Combine the Black-Scholes formula with the put-call parity formula to derive the Black-Scholesformula for European puts. |
algebraically as a function of dfrom the Black- 1 Scholes model. 8.9.The present price of an equity share of Strategy Inc. is $50. The stock follows a binomial process where each period the stock either goes up 10 percent or down 10 percent. Compute the fair market value of an American put option on Strategy Inc. stock with a strike price of $50 and two periods to expiration. Assume Strategy Inc. pays no dividends over the next two periods. The risk-free rate is 2 percent per period. |
8.3.8.4.8.5.8.6.8.7.8.8. |
Intel stock has a volatility of .25 and a price of$60 a share. AEuropean call option on Intel stock with a strike price of $65 and an expiration time ofone year has a price of $10. Using the Black-ScholesModel, describe how you would construct an arbitrage portfolio, assuming that the present valueof the strike price is $56. Would the arbitrage portfolio increase or decrease its position in Intel stock if shortly thereafter the stock price of Intel roseto $62 a share? Take the partial derivative of the Black-Scholes value of a call option with respect to the underlyingsecurity’s price, S.Show that this derivative is 0 positive and equal to N(d). Hint:First show that 1 SN (d) PV(K)N (d T)equals zero by 011 using the fact that the derivative of Nwith respect 1 to d, N (d) equals . 112 2exp( .5d) 1 Take the partial derivative of the Black-Scholes value of a call option with respect to the volatilityparameter. Show that this derivative is positive andequal to S TN (d). 01 K If PV(K),take the partial derivative of (1r)T f the Black-Scholes value of a call option withrespect to the interest rate r. Show that this f derivative is positive and equal to T PV(K)N(d T )/(1r). 1f Suppose you observe a European call option on astock that is priced at less than the value of S PV(K) PV(div). What type of transaction 0 should you execute to achieve arbitrage? (Be specific with respect to amounts and avoid using puts in this arbitrage.) Consider a position of two purchased calls (AT&T,three months, K30) and one written put (AT&T,three months, K30). What position in AT&T stock will show the same sensitivity to price changes in AT&Tstock as the option position |
8.10.Steady Corp. has a share value of $50. At-the- money American call options on Steady Corp. with nine months to expiration are trading at $3. Sure Corp. also has a share value of $50. At-the-money American call options on Sure Corp. with nine months to expiration are trading at $3. Suddenly, a merger is announced. Each share in both corporations is exchanged for one share in the combined corporation, “Sure and Steady.” After the merger, options formerly on one share of either Sure Corp. or Steady Corp. were converted to options on one share of Sure and Steady. The only change is the difference in the underlying asset. Analyze the likely impact of the merger on the values of the two options before and after the merger. Extend this analysis to the effect of mergers on the equity of firms with debt financing. 8.11.FSAis a privately held firm. As an analyst trying to determine the value of FSA’s common stock and bonds, you have estimated the market value of the firm’s assets to be $1 million and the standard deviation of the asset return to be .3. The debt of FSA, which consists of zero-coupon bank loans, will come due one year from now at its face value of $1 million. Assuming that the risk-free rate is 5 percent, use the Black-Scholes Model to estimate the value of the firm’s equity and debt. 8.12.In the chapter’s opening vignette, Chrysler Corporation argued that there was little risk in the government guarantee of Chrysler’s debt because Chrysler also was offering a senior claim of Chrysler’s assets to the government. In light of this, Chrysler’s warrants appear to have been a free gift to the U.S. government that should have been returned to Chrysler in 1983. Evaluate this argument. 8.13.Describe what happens to the amount of stock held in the tracking portfolio for a call (put) as the stock price goes up (down). Hint:Prove this by looking at delta. |
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8. Options |
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8.14.Callable bonds appear to have market values thatThe risk-free rate is 12 percent from date 0 to date
are determined as if the issuing corporation1 and 15 percent from date 1 to date 2. AEuropean
optimally exercises the call option implicit in thecall on this stock (1)expires in period 2 and (2)has
bond. You know, however, that these options tenda strike price of $8.
to get exercised past the optimal point. Write up a(a)Calculate the risk-neutral probabilities implied
nontechnical presentation for your boss, theby the binomial tree.
portfolio manager, explaining why arbitrage exists(b)Calculate the payoffs of the call option at each
and how to take advantage of it with thisof three nodes at date 2.
investment opportunity.(c)Compute the value of the call at date 0.8.15.The following tree diagram outlines the price of a8.16.Anondividend-paying stock has a current price of
stock over the next two periods:$30 and a volatility of 20 percent per year.
(a)Use the Black-Scholes equation to value a
European call option on the stock above with a Date:012strike price of $28 and time to maturity of three
months.
30
(b)Without performing calculations, state whether
this price would be higher if the call were
20
American. Why?
12.5010(c)Suppose the stock pays dividends. Would
otherwise identical American and European
options likely have the same value? Why?
8
6
References and Additional Readings
Black, Fischer. “The Pricing of Commodity Contracts.”
Journal of Financial Economics3, nos. 1/2 (1976),
pp. 167–79.
Black, Fischer, and Myron Scholes. “The Pricing of
Options and Corporate Liabilities.” Journal of
Political Economy81 (May–June 1973),
pp.637–59.
Cox, John C.; Stephen A. Ross; and Mark Rubinstein.
“Option Pricing: ASimplified Approach.” Journal of
Financial Economics7 (Sept. 1979), pp. 229–63.
Cox, John C., and Mark Rubinstein. Options Markets.
Englewood Cliffs, NJ: Prentice-Hall, 1985.
Galai, Dan, and Ronald Masulis. “The Option Pricing
Model and the Risk Factor of Stock.” Journal of
Financial Economics3, nos. 1/2 (1976), pp. 53–81.Garman, Mark, and Steven Kohlhagen. “Foreign
Currency Option Values.” Journal of International
Money and Finance2, no. 3 (1983), pp. 231–37.
Geske, Robert. “The Valuation of Compound Options.”
Journal of Financial Economics 7, no. 1 (1979),
pp.63–82.
Geske, Robert, and Herb Johnson. “The American Put
Option Valued Analytically.” Journal of Finance39,
no. 5 (1984), pp. 1511–24.
Grabbe, J. O. “The Pricing of Call and Put Options on
Foreign Exchange.” Journal of International Money
and Finance2, no. 3 (1983), pp. 239–53.
Hull, John C. Options, Futures, and Other Derivatives.3d
ed. Upper Saddle River, NJ: Prentice-Hall, 1997.
MacBeth, James D., and Larry J. Merville. “An Empirical
Examination of the Black-Scholes Call Option
Pricing Model.” Journal of Finance34, no. 5 (1979),
pp. 1173–86.
Merton, Robert C. “Theory of Rational Option Pricing.”
Bell Journal of Economics and Management Science
4 (Spring 1973), pp. 141–83.
Ramaswamy, Krishna, and Suresh Sundaresan. “The
Valuation of Options on Futures Contracts.” Journal
of Finance40, no. 5 (1985), pp. 1319–40.
Rendelman, Richard J., Jr., and Brit J. Bartter. “Two-State
Option Pricing.” Journal of Finance34 (Dec. 1979),
pp. 1093–1110.
Rubinstein, Mark. “Nonparametric Tests of Alternative
Option Pricing Models Using All Reported Trades
and Quotes on the 30 Most Active CBOE Option
Classes from August 23, 1976 through August 31,
1978.” Journal of Finance40, no. 2 (1985),
pp.455–80.
Rubinstein, Mark. “Presidential Address: Implied
Binomial Trees.” Journal of Finance4, no. 3 (1994),
pp. 771–818.
Smith, Clifford. “Option Pricing: AReview.” Journal of
Financial Economics3, nos. 1/2 (1976), pp. 3–51.
-
Grinblatt
608 Titman: FinancialII. Valuing Financial Assets
8. Options
© The McGraw
608 HillMarkets and Corporate
Companies, 2002
Strategy, Second Edition
296Part IIValuing Financial Assets
Stoll, Hans. “The Relationship Between Put and Call———. “Valuation of American Call Options on
Option Prices.” Journal of Finance24, no. 5 (1969),Dividend-Paying Stocks: Empirical Tests.” Journal of
pp. 801–824.Financial Economics10, no. 1 (1982), pp. 29–58.
Whaley, Robert. “On the Valuation of American Call
Options on Stocks with Known Dividends.” Journal
of Financial Economics9, no. 2 (1981), pp. 207–11.
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8. Options |
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PRACTICALINSIGHTSFORPART |
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Allocating Capital forReal Investment
•Mean-variance analysis can help determine the risk
implications of product mixes, mergers and
acquisitions, and carve-outs. This requires thinking
about the mix of real assets as a portfolio. (Section 4.6)•Theories to value real assets identify the types of risk
that determine discount rates. Most valuation problems
will use either the CAPM or APT, which identify
market risk and factor risk, respectively, as the relevant
risk attributes. (Sections 5.8, 6.10)
•An investment’s covariance with other investments is a
more important determinant of its discount rate than is
the variance of the investment’s return. (Section 5.7)•The CAPM and the APTboth suggest that the rate of
return required to induce investors to hold an
investment is determined by how the investment’s
return covaries with well-diversified portfolios.
However, existing evidence suggests that most of the
well-diversified portfolios that have been traditionally
used, either in a single factor or a multiple factor
implementation, do a poor job of explaining the
historical returns of common stocks. While multifactor
models do better than single factor models, all model
implementations (to varying degrees) have difficulty
explaining the historical returns of investments with
extreme size, market-to-book ratios, and momentum.
These shortcoming need to be accounted for when
allocating capital to real investments that fit into these
anomalous categories. (Sections 5.11, 6.12)
Financing the Firm
•When issuing debt or equity, the CAPM and APTcan
provide guidelines about whether the issue is priced
fairly. (Sections 5.8, 6.10)
•Because equity can be viewed as a call option on the
assets of the firm when there is risky debt financing, the
equity of firms with debt is riskier than the equity of
firms with no debt. (Sections 8.3, 8.8).
•Derivatives valuation theory can be used to value risky
debt and equity in relation to one another (Section 8.3)Knowing Whetherand How to Hedge Risk
•Portfolio mathematics can enable the investor to
understand the risk attributes of any mix of real assets,
financial assets, and liabilities. (Section 4.6)
•Forward currency rates can be inferred from domestic
and foreign interest rates. (Section 7.2)
Allocating Funds forFinancial Investments
•Portfolios generally dominate individual securities as
desirable investment positions. (Section 5.2)
•Per dollar invested, leveraged positions are riskier than
unleveraged positions. (Section 4.7)
•There is a unique optimal risky portfolio when a risk-
free asset exists. The task of an investor is to identify
this portfolio. (Section 5.4)
•Mean-Variance Analysis is frequently used as a tool for
allocating funds between broad-based portfolios.
Because of estimation problems, mean-variance
analysis is difficult to use for determining allocations
between individual securities. (Section 5.6)
•If the CAPM is true, the optimal portfolio to hold is a
broad-based market index. (Section 5.8)
•If the APTis true, the optimal portfolio to hold is a
weighted average of the factor portfolios. (Section 6.10)
Since derivatives are priced relative to other
•
investments, opinions about cash flows do not matter
when determining their values. With perfect tracking
possible here, mastery of the theories is essential if one
wants to earn arbitrage profits from these investments.
(Section 7.3)
•Apparent arbitrage profits, if they exist, must arise from
market frictions. Hence, to obtain arbitrage profits from
derivative investments means that one must be more
clever than competitors at overcoming the frictions that
allow apparent arbitrage to exist. (Section 7.6)
•Derivatives can be used to insure a portfolio’s value.
(Section 8.3)
•The somewhat disappointing empirical evidence on the
CAPM and APTmay imply an opportunity for portfolio
managers to beat the S&P500 and other benchmarks
they are measured against. (Sections 5.8, 6.10, 6.13)•Per dollar of investment, call options are riskier than the
underlying asset. (Section 8.8)
• |
The fair market values, not the actual market values, determine appropriate ratios for hedging. These are usually computed from the valuation models for derivatives. (Section 8.8) |
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EXECUTIVEPERSPECTIVE
Myron S. Scholes
For large financial institutions, financial models are criti-cal to their continuing success. Since they are liability aswell as asset managers, models are crucial in pricing andevaluating investment choices and in managing the risk oftheir positions. Indeed, financial models, similar to thosedeveloped in Part II of this text, are in everyday use inthese firms.
The mean-variance model, developed in Chapters 4 and5, is one example of a model that we use in our activities.We use it and stress management technology to optimizethe expected returns on our portfolio subject to risk, con-centration, and liquidity constraints. The mean-varianceapproach has influenced financial institutions in determin-ing risk limits and measuring the sensitivity of their profitand loss to systematic exposures.
The risk-expected return models presented in Part II,such as the CAPM and the APT, represent another set ofuseful tools for money management and portfolio opti-mization. These models have profoundly affected the wayinvestment funds are managed and the way individualsinvest and assess performance. For example, passivelymanaged funds, which generally buy and hold a proxy forthe market portfolio, have grown dramatically, accountingfor more than 20 percent of institutional investment. Thishas occurred, in part, because of academic writings on theCAPM and, in part, because performance evaluation usingthese models has shown that professional money managersas a group do not systematically outperform these alterna-tive investment strategies. Investment banks use both debt
and equity factor models—extremely important tools—todetermine appropriate hedges to mitigate factor risks. Forexample, my former employer, Salomon Brothers, usesfactor models to determine the appropriate hedges for itsequity and debt positions.
All this pales, of course, with the impact of derivativesvaluation models, starting with the Black-Scholes option-pricing model that I developed with Fischer Black in theearly 1970s. Using the option-pricing technology, invest-ment banks have been able to produce products that cus-tomers want. An entire field called financial engineeringhas emerged in recent years to support these developments.Investment banks use option pricing technology to pricesophisticated contracts and to determine the appropriatehedges to mitigate the underlying risks of producing thesecontracts. Without the option-pricing technology, presentedin Chapters 7 and 8, the global financial picture would befar different. In the old world, banks were underwriters,matching those who wanted to buy with those who wantedto offer coarse contracts such as loans, bonds, and stocks.Derivatives have reduced the costs to provide financialservices and products that are more finely tuned to theneeds of investors and corporations around the world.Mr. Scholes is currently a partner in Oak Hill Capital Management, L.P.and Chairman of Oak Hill Platinum Partners, L.P. located in Menlo Park,CAand Rye Brook, NY, respectively. He is also the Frank E. BuckProfessor of Finance Emeritus, Stanford University Graduate School of
Business and a recipient of the 1997 Nobel Prize in Economics.
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Part II focused on how to value financial assets in relation to one another. We learned
that the future cash flows of financial assets, like derivatives and common stock,
can be tracked (nearly perfectly or imperfectly) by a portfolio of some other financial
assets. This tracking relationship allowed us to derive risk-expected return equations
like the CAPM and the APT, as well as describe the no-arbitrage price of a derivative,
given the value of its underlying financial asset.
The lessons learned from studying valuation in the financial markets carry over to
the valuation of real assets, such as factories and machines. There is a tight connection
between the theory of financial asset valuation and corporate finance. Although corpo-
rate managers employ a variety of techniques to value and evaluate corporate invest-
ment projects, all these techniques essentially require tracking of the real asset’s cash
flows with a portfolio of financial assets.
The correct application and appropriateness of real asset valuation techniques
largely depend on how well the corporate manager understands the linkage between
these techniques and the principles used to value financial assets in Part II. When these
techniques are viewed as black boxes—formulas that provide cutoff values that the
manager blindly uses to adopt or reject projects—major errors in project assessment
are likely to arise.
The first issue to address when valuing real assets is what to value. By analogy to
our previous discussion of financial assets, we know that we should be evaluating the
future cash flows that are generated from the asset that is being valued. As we will
emphasize in Chapter 9, cash flows and earnings are two different things, and it is the
cash flows, not the earnings, that are the relevant inputs to be used to value the assets.
Hence, the ability to translate projections of accounting numbers into cash flows, also
considered in Chapter 9, is critical. Chapter 9 also devotes considerable space to the
simple mechanics of discounting, which is critical for obtaining the values of future
cash flows with many of the project evaluation techniques discussed in Part III.
Chapter 10 focuses on projects where the future cash flows of the project are known
with certainty. While this is not the typical setting faced by corporate managers, it is
ideal for gaining an understanding of the merits and appropriate application of various
project-evaluation techniques. In this simplified setting, one can perfectly track the
future cash flows of projects with investments in financial assets. We learn from this
setting that two techniques, the Discounted Cash Flow (DCF) and the Internal Rate of
Return (IRR) approaches, can generally be appropriately used to evaluate projects.
However, there are several pitfalls to watch out for, particularly with the Internal Rate
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of Return. In many cases, even the Discounted Cash Flow method has to be modified
to fit the constraints imposed on project selection.
Graham and Harvey (2001), in a recent article in the Journal of Financial Eco-
nomicsentitled “The Theory and Practice of Corporate Finance: Evidence from the
Field,” surveyed 392 CFOs on the practices used by their firms to evaluate investments
in real assets. The two most popular techniques were the Discounted Cash Flow and
the Internal Rate of Return approaches. Each was used by about three of four firms in
the survey. Many firms use both techniques to evaluate their real investment projects.
Necessary modifications of the DCFapproach—for example, the Profitability Index
approach—are also used by some firms (12 percent) where situations call for them.
This approach is also analyzed in Chapter 10.
Other project evaluation techniques include the payback method and the account-
ing rate of return method. Chapter 10 also discusses the pitfalls that are likely to arise
if one employs these two techniques to evaluate projects. There was a time when these
techniques were more popular. However, as the practice of corporate finance has
become more sophisticated, these more traditional approaches have given way to the
DCFand the IRRapproaches.
Of course, one typically applies real asset valuation techniques to value risky future
cash flows. This raises a host of issues, discussed in Chapter 11. Here the principle of
tracking is still applied to value real assets and make appropriate decisions about cor-
porate projects. However, in contrast to Chapter 10, the tracking portfolios for risky
projects do not perfectly track the project’s cash flows. Hence, appropriate techniques
are designed to ensure that the tracking error risk carries no risk premium and thus car-
ries no value.
Managers also use other techniques besides DCF, IRR, payback, and accounting
rate of return methods to evaluate projects. For example, the Graham and Harvey sur-
vey reports that about 40 percent of firms use ratio comparison approaches, such as
Price to Earnings multiples, and 27 percent employ real options approaches, which are
based on the derivative valuation techniques presented in Chapters 7 and 8. These
approaches and their proper use are discussed in Chapter 12. This chapter also shows
how these techniques can be used as tools for evaluating strategies as well as capital
expenditures on projects. For example, a major oil firm would not consider in isolation
the opportunity to develop a natural gas field in Thailand. Instead, the firm would be
thinking about the strategic implications of an increased presence in Asia, with the nat-
ural gas field as only one aspect of that strategy. Chapter 12 discusses how to estimate
the value created by these strategic implications and provides broad principles that
apply even to cases where quantitative estimation is difficult.
Finally, Chapter 13 introduces corporate tax deductions for debt financing and dis-
cusses how the financing of a project may affect its value to the firm. This sets the
stage for Part IV, where the focus is chiefly on the optimal financial structure of a
corporation.
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Learning Objectives
After reading this chapter, you should be able to:
1.Understand what a present value is.
2.Know how to define, compute, and forecast the unlevered cash flows used for
valuation.
3.Compute incremental cash flows for projects.
4.Mechanically compute present values and future values for single cash flows and
specially patterned cash flow streams, like annuities and perpetuities, in both level
and growing forms.
5.Apply the principle of value additivity to simplify present value calculations.
6.Translate interest rates from one compounding frequency into another.
7.Understand the role that opportunity cost plays in the time value of money.
In 1993, the Times Mirror Corporation implemented a new capital allocation system,
developed with the aid of the Boston Consulting Group. This system, known as Times
Mirror Value Management (TMVM), provided a framework for computing the market
values of real investments by discounting cash flows at the cost of capital. The TMVM
system committed Times Mirror to base investment decisions systemwide on the
discounted value of cash flows rather than on an evaluation of accounting numbers.
Corporations create value for their shareholders by making good real investment
decisions. Real investmentsare expenditures that generate cash in the future and,
as opposed to financial investments, like stocks and bonds, are not financial instruments
that trade in the financial markets. Although one typically thinks about expenditures on
plant and equipment as real investment decisions, in reality, almost all corporate deci-
sions, including those involving personnel and marketing, can be viewed as real invest-
ment decisions. For example, hiring a new employee can be viewed as an investment
since the cost of the employee in the initial months exceeds the net benefits he pro-
vides his employer; however, over time, as he acquires skills he provides positive net
benefits. Similarly, when a firm increases its advertising expenditures, it is sacrificing
current profits in the hope of generating more sales and future profits.
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One of the major thrusts of this text is that financial managers should use a market-
based approach to value assets, whether valuing financial assets, like stocks and
bonds, or real assets, like factories and machines. To value these real assets, corporate
managers must apply the valuation principles developed in Part II. There, we used port-
folios to track investments and compared the expected returns (or costs) of the track-
ing portfolios to the expected returns (or costs) of the financial assets we wanted to
value. This allowed us to value the tracked investment in relation to its tracking port-
folio. Models such as the CAPM, the APT, and the binomial derivative pricing model
were used to determine relevant tracking portfolios.
The techniques developed in Part III largely piggyback onto these models and prin-
ciples. The chapters in Part III show how to combine the prices available in financial
markets into a single number that managers can compare with investment costs to eval-
uate whether a real investment increases or diminishes a firm’s value. This number is
present value (PV)1
the which is the market price of a portfolio of traded securities
that tracks the future cash flowsof the proposed project, (the free cash that a project
generates). Essentially, a project creates value for a corporation if the cost of investing
in the project is less than the cost of investing in a portfolio of financial assets that
track the project’s future cash flows.
Thus, the present value measures the worth of a project’s future cash flows at the
present time by looking at the market price of identical, or nearly identical, future cash
flows obtained from investing in the financial markets. To obtain a present value, you
typically discount (a process introduced in Chapter 7) the estimated future cash flows
of a project at the rate of return of the appropriate tracking portfolio of financial assets.
This rate of return is known as the discount rate. As the name implies, discounting
future cash flows to the present generally reduces them. Such discounting is a critical
element of the TMVM system, as described in the opening vignette.
The mechanics of discounting are the focus of this chapter. There are two aspects
to the mechanics of discounting cash flows
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Understanding how to compute future cash flows and
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Applying the formulas that derive present values by applying discount rates tofuture cash flows.
In the conclusion to this chapter, we briefly touch on the issue of why we discount to
obtain present values. More insight into this issue, including the issue of which dis-
count rate to use, is explored in the two chapters that follow this one.