- •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
Volatility
Exhibit 8.10 illustrates this concept. The at point A, the intersection of the hor-
izontal line, representing the $5 market price of the call option, and the upward slop-
ing line, representing the Black-Scholes value, is the implied volatility. In this graph,
it is about 19 percent.
Averaging the implied volatilities of other options on the same security is a com-
mon approach to obtaining the volatility necessary for obtaining the Black-Scholes val-
uation of an option. Since the implied volatilities of the other options are obtained from
the Black-Scholes Model, this method implicitly assumes that the other options are
priced correctly by that model.
Implied volatility is a concept that is commonly used in options markets, particu-
larly the over-the-counter markets. For example, price quotes are often given to sophis-
ticated customers in terms of implied volatilities because these volatilities change much
less frequently than the stock and option prices. Acustomer or a trader can consider
an implied volatility quote and know that tomorrow the same quote is likely to be valid
even though the price of the option will be different because the price of the underly-
ing asset has changed. Implied volatility quotes help the investor who is comparison
shopping among dealers for the best option price.
If options of the same maturity but different strike prices have different implied
volatilities, arbitrage is possible. This arbitrage requires purchase of the low implied
volatility option and writing of the high implied volatility option. The next section
explores the arbitrage of mispriced options in more depth.
-
Grinblatt
584 Titman: FinancialII. Valuing Financial Assets
8. Options
© The McGraw
584 HillMarkets and Corporate
Companies, 2002
Strategy, Second Edition
284Part IIValuing Financial Assets
8.8Black-Scholes Price Sensitivity to Stock Price, Volatility,
Interest Rates, and Expiration Time
This section develops some intuition for the Black-Scholes Model by examining
whether the call option value in the formula, equation (8.3), increases or decreases as
various parameters in the formula change. These parameters are the current stock price
S,the stock price volatility , the risk-free interest rate r,and the time to maturity T.
0f
Delta: The Sensitivity to Stock Price Changes
The Greek letter delta () is commonly used in mathematics to represent a change in
something. In finance, deltais the change in the value of the derivative security with
respect to movements in the stock price, holding everything else constant. The delta of
the option is the derivative of the option’s price with respect to the stock price, c/ S
0 0
for a call, p/ Sfor a put. The derivative of the right-hand side of the Black-Scholes
0 0
formula, equation (8.3), with respect to S,the delta of the call option, is N(d). (See
01
exercise 8.4.)
Delta as the Numberof Shares of Stock in a Tracking Portfolio.Delta has many
uses. One is in the formation of a tracking portfolio. Delta can be viewed as the num-
ber of shares of stock needed in the tracking portfolio. Let xbe the number of shares
in the tracking portfolio. For a given change in S, dS, the change in the tracking port-
00
folio is xdS. Hence, unless xequals c/ Sfor a call or p/ Sfor a put, xdSwill
00 00 00
not be the same as the change in the call or put value, and the tracking of the option
payoff with a portfolio of the underlying stock and a risk-free bond will not be perfect.
Because N(d) is a probability, the number of shares needed to track the option lies
1
between zero and one. In addition, as time elapses and the stock price changes, d
1
changes, implying that the number of shares of stock in the tracking portfolio needs to
change continuously. Thus, the tracking of the option using the Black-Scholes Model,
like that for the binomial model, requires dynamically changing the quantities of the
stock and risk-free bond in the tracking portfolio. However, these changes require no
additional financing.
Delta and Arbitrage Strategies.If the market prices of options differ from their the-
oretical prices, it is possible to design an arbitrage. Once set up, the arbitrage is self-
financing until the arbitrage position is closed out.
As always, arbitrage requires the formation of a tracking portfolio using the under-
lying asset and a risk-free security. One goes long in the tracking portfolio and short
in the option, or vice versa, to achieve arbitrage (see exercise 8.3.)
In the design of the arbitrage, the ratio of the underlying asset position to the option
position must be the negative of the partial derivative of the theoreticaloption price
with respect to the price of the underlying security. For a call option that is priced by
the Black-Scholes formula, this partial derivative is N(d), the option’s delta.
1
Delta and the Interpretation of the Black-Scholes Formula.Viewing N(d) as the
1
number of shares of stock in the tracking portfolio lends a nice interpretation to the
Black-Scholes call option formula. The first part of the Black-Scholes formula in equa-
tion (8.3), SN(d), is the cost of the shares needed in the tracking portfolio. The sec-
01
ond term, PV(K)N(d T),represents the number of dollars borrowed at the risk-
1
Grinblatt |
II. Valuing Financial Assets |
8. Options |
©
The McGraw |
Markets and Corporate |
|
|
Companies, 2002 |
Strategy, Second Edition |
|
|
|
-
Chapter 8
Options
285
free rate. The difference in the two terms is the cost of the tracking portfolio. Hence,
the Black-Scholes formula is simply an arbitrage relation. The left-hand side of the
equation, c, is the value of the option. The right-hand side represents the market price
0
of the tracking portfolio.
An examination of the tracking portfolio reveals that call options on stock are
equivalent to leveraged positions in stock. When you focus on the capital market line,
the more leverage you have, the greater the beta, standard deviation, and expected
return, as pointed out in Chapter 5. For this reason, call options per dollar invested are
always riskier than the underlying stock per dollar invested.
Black-Scholes Option Values and Stock Volatility
One can use the Black-Scholes formula, equation (8.3), to show that an option’s value
is increasing in , the volatility of the underlying stock. (Refer again to the Black-
Scholes call value in Exhibit 8.10, which has a positive slope, and see exercise 8.5.)
-
Result 8.9
As the volatility of the stock price increases, the values of both put and call options writ-ten on the stock increase.
Result 8.9 is a general property of options, holding true for calls and puts and both
American and European options. It has a number of implications for the financial
behavior of both corporate finance executives and portfolio managers and is a source
of equity holder–debt holder conflicts.19
The intuition for this result is that increased volatility spreads the distribution of
the future stock price, fattening up both tails of the distribution, as shown in Exhibit
8.11. Good things are happening for a call (put) option when the right (left) tail of the
distribution is more likely to occur. It is not good when the left (right) tail of the dis-
tribution is more likely to occur, but exercise of the option does nottake place in this
region of outcomes, so it is not so bad either. After a certain point, a fatter tail on the
left (right) of the distribution can hurt the investor much less than a fat tail on the right
(left) of the distribution can help. The worst that can happen is that an option expires
worthless.
Option Values and Time to Option Expiration
European calls on stocks that pay no dividends are more valuable the longer the time
to expiration, other things being equal, for two reasons. First, the terminal stock price
is more uncertain the longer the time to expiration. Uncertainty, described in our dis-
cussion of , makes options more valuable. Moreover, given the same strike price, the
longer the time to maturity, the lower is the present value of the strike price paid by
the holder of a call option.
In contrast, the discounting of the strike price makes European puts less valu-
able. Thus, the combination of the effects of uncertainty and discounting leaves an
ambiguous result. European puts can increase or decrease in value the longer the time
to expiration. American puts and calls, incidentally, have an unambiguous sensitivity
to expiration time. These options have all the rights of their shorter-maturity cousins
in addition to the rights of exercise for an even longer period. Hence, the longer the
time to expiration, the more valuable are American call and put options, even for
dividend-paying stocks.
19These
conflicts are discussed in Chapter 16.
-
Grinblatt
588 Titman: FinancialII. Valuing Financial Assets
8. Options
© The McGraw
588 HillMarkets and Corporate
Companies, 2002
Strategy, Second Edition
286Part IIValuing Financial Assets
EXHIBIT8.11Effect of Increasing Volatility
Density(high )
Density (low )
Option expiration value
Low volatility
-
Call
High volatility
-
S
T
K
Option Values and the Risk-Free Interest Rate
The Black-Scholes call option value is increasing in the interest rate r(see exercise
8.6) because the payment of Kfor the share of stock whose call option is in the money
costs less in today’s dollars (that is, it has a lower discounted value) when the interest
rate is higher. The opposite is true for a European put. Since one receives cash, puts
are less valuable when the interest rate is higher. As noted earlier in this chapter, the
timing of stock delivery is irrelevant as long as there are no dividends. Only the pres-
ent value of the cash payment upon option exercise and whether this cash is paid out
(call) or received (put) determines the effect of interest rates on the option value. Once
again, this is a general result that holds for European and American options and works
the same in the binomial model and the Black-Scholes Model.
ASummary of the Effects of the Parameter Changes
Exhibit 8.12 summarizes the results in this section and includes the impact on the value
of a long forward contract (equivalent to a call less a put). These exercises hold con-
stant all the other factors determining option value, except the one in the relevant row.
An increase in strike price Kor an increase in the dividend paid, although not listed
in the exhibit, will have the opposite effect of an increase in the stock price. It also is
interesting to observe what has not been included in Exhibit 8.12 because it has no
effect. In particular, risk aversion and the expected growth rate of the stock have no
effect on option values, which are determined solely by the no-arbitrage relation
between the option and its tracking portfolio (as Chapter 7 emphasized). When tracking
Grinblatt |
II. Valuing Financial Assets |
8. Options |
©
The McGraw |
Markets and Corporate |
|
|
Companies, 2002 |
Strategy, Second Edition |
|
|
|
-
Chapter 8
Options
287
EXHIBIT8.12Determinants of Current Option and Forward Prices: Effect of a ParameterIncrease
Parameter |
Long |
American |
American |
European |
European |
Increased |
Forward |
Call |
Put |
Call |
Put |
-
S
↑↑↓↑↓
0T
↑↑↑↑Ambiguous
No effect↑↑↑↑
r
f
↑↑↓↑↓
is impossible (for example, executive stock options), option values are not tied to track-
ing portfolios. In such cases, considerations like risk aversion or stock growth rates
may play a role in option valuation.
