chapter 15: options and contingent claims
DESCRIPTION
Chapter 15: Options and Contingent Claims. Objective To show how the law of one price may be used to derive prices of options To explore the range of financial decisions that can be fruitfully analyzed in terms of options. How Options Work Investing with Options - PowerPoint PPT PresentationTRANSCRIPT
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FinanceFinance School of Management School of Management
Chapter 15: Options and Chapter 15: Options and Contingent ClaimsContingent Claims
Objective• To show how the law of one price may
be used to derive prices of options• To explore the range of financial decisions
that can be fruitfully analyzed in terms of options
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Chapter 15 ContentsChapter 15 Contents
How Options Work Investing with Options The Put-Call Parity
Relationship Volatility & Option Prices Two-State Option Pricing Dynamic Replication &
the Binomial Model
The Black-Scholes Model Implied Volatility Contingent Claims
Analysis of Corporate Debt and Equity
Convertible Bonds Valuing Pure State-
Contingent Securities
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TermsTerms
A option is the right (not the obligation) to purchase or sell something at a specified price (the exercise price) in the future
– Underlying Asset, Call, Put, Strike (Exercise) Price, Expiration (Maturity) Date, American / European Option
– Out-of-the-money, In-the-money, At-the-money
– Tangible (Intrinsic) value, Time Value
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Table 15.1 List of IBM Option Prices
(Source: Wall Street Journal Interactive Edition, May 29, 1998)
IBM (IBM) Underlying stock price 120 1/16
Call PutStrike Expiration Volume Last Open Volume Last Open
Interest Interest115 Jun 1372 7 4483 756 1 3/16 9692115 Oct … … 2584 10 5 967115 Jan … … 15 53 6 3/4 40120 Jun 2377 3 1/2 8049 873 2 7/8 9849120 Oct 121 9 5/16 2561 45 7 1/8 1993120 Jan 91 12 1/2 8842 … … 5259125 Jun 1564 1 1/2 9764 17 5 3/4 5900125 Oct 91 7 1/2 2360 … … 731125 Jan 87 10 1/2 124 … … 70
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Table 15.2 List of Index Option Prices (Source: Wall Street Journal Interactive Edition, June 6, 1998)
S&P500 INDEX -AM Chicago ExchangeUnderlying High Low Close Net From %
Change 31-Dec ChangeS&P500 1113.88 1084.28 1113.86 19.03 143.43 14.8
(SPX) Net Open Strike Volume Last Change Interest
Jun 1110 call 2,081 17 1/4 8 1/2 15,754Jun 1110 put 1,077 10 -11 17,104Jul 1110 call 1,278 33 1/2 9 1/2 3,712Jul 1110 put 152 23 3/8 -12 1/8 1,040Jun 1120 call 80 12 7 16,585Jun 1120 put 211 17 -11 9,947Jul 1120 call 67 27 1/4 8 1/4 5,546Jul 1120 put 10 27 1/2 -11 4,033
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FinanceFinance School of Management School of Management
Terminal or Boundary Conditions for Call and Put Options
-20
0
20
40
60
80
100
120
0 20 40 60 80 100 120 140 160 180 200
Underlying Price
Do
llar
s
Put
Call
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FinanceFinance School of Management School of Management
The Put-Call Parity RelationThe Put-Call Parity Relation
Two ways of creating a stock investment that is insured against downside price risk:– Buying a share of stock and a put option (a protective-
put strategy)
– Buying a pure discount bond with a face value equal to the option’s exercise price and simultaneously buying a call option
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Terminal Conditions of a Call and a Put Option with Strike = 100
Share Call Put Share_Put Bond Call_Bond0 0 100 100 100 100
10 0 90 100 100 10020 0 80 100 100 10030 0 70 100 100 10040 0 60 100 100 10050 0 50 100 100 10060 0 40 100 100 10070 0 30 100 100 10080 0 20 100 100 10090 0 10 100 100 100
100 0 0 100 100 100110 10 0 110 100 110120 20 0 120 100 120130 30 0 130 100 130140 40 0 140 100 140150 50 0 150 100 150160 60 0 160 100 160170 70 0 170 100 170180 80 0 180 100 180190 90 0 190 100 190200 100 0 200 100 200
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FinanceFinance School of Management School of Management
0
20
40
60
80
100
120
140
160
180
200
0 20 40 60 80 100 120 140 160 180 200
Stock Price
Pay
offs
Put
Share
Share_Put
Bond
Call
Call_Bond
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Payoff Structure for Protective-Put StrategyPayoff Structure for Protective-Put Strategy
If S T < E If S T > E
Stock S T S T
Put E-S T 0
Stock plus put E S T
Value of Position at Maturity DatePosition
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Payoff Structure for a Pure Discount Bond Payoff Structure for a Pure Discount Bond Plus a CallPlus a Call
If S T < E If S T > E
Call 0 S T - EPure discount bond plus call E S T
Value of Position at Maturity DatePosition
E EPure discount bond with facevalue of E
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Put-Call Parity EquationPut-Call Parity Equation
ShareMaturityStrikePut
r
StrikeMaturityStrikeCall
Maturity
),(
1),(
SP
r
EC
T
1
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Synthetic SecuritiesSynthetic Securities
The put-call parity relationship may be solved for any of the four security variables to create synthetic securities C=S+P-B
S=C-P+B
P=C-S+B
B=S+P-C
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FinanceFinance School of Management School of Management
Converting a Put into a CallConverting a Put into a Call
S = $100, E = $100, T = 1 year, r = 8%, P = $10:
C = 100 – 100/1.08 + 10 = $17.41
If C = $18, the arbitrageur would sell calls at a price of $18, and synthesize a synthetic call at a cost of $17.41, and pocket the $0.59 difference between the proceed and the cost
P
r
ESC
T
1
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FinanceFinance School of Management School of Management
Put-Call ArbitragePut-Call Arbitrage
Sell a call $18 0 - (S T - $100)
Buy a stock -100.00 S T S T
Borrow the present value of $100 92.59 -100.00 -100.00
Buy a put -10.00 $100 - S T 0.00Net cash flows 0.59 0.00 0.00
Cash Flow at Maturity Date
If S T < $100 If S T > $100
Buy Replicating Portfolio (Synthetic Call)
PositionImmediate Cash
Flow
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Options and ForwardsOptions and Forwards We saw in the last chapter that the discounted value of
the forward was equal to the current spot The relationship becomes
TT r
FP
r
EC
)1(1
Tr
EFPC
)1(
or
If the exercise price is equal to the forward price of the underlying stock, then the put and call have the same price
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FinanceFinance School of Management School of Management
Implications for European OptionsImplications for European Options
If (F > E) then (C > P) If (F = E) then (C = P) If (F < E) then (C < P)
− E is the common exercise price− F is the forward price of underlying share− C is the call price− P is the put price
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FinanceFinance School of Management School of Management
Call and Put as a Function of Forward
0
2
4
6
8
10
12
14
16
90 92 94 96 98 100 102 104 106 108 110
Forward
Put
, Cal
l Val
ues
callput
asy_call_1asy_put_1
Strike = Forward
Call = Put
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FinanceFinance School of Management School of Management
Put and Call as Function of Share Price
-10
0
10
20
30
40
50
60
50 60 70 80 90 100 110 120 130 140 150
Share Price
Pu
t an
d C
all P
rice
s
call
put
asy_call_1
asy_call_2
asy_put_1
asy_put_2
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FinanceFinance School of Management School of Management
Put and Call as Function of Share Price
0
5
10
15
20
80 85 90 95 100 105 110 115 120
Share Price
Pu
t an
d C
all
Pri
ces
call
put
asy_call_1
asy_call_2
asy_put_1
asy_put_2
PV Strike
Strike
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Volatility and Option PricesP0 = $100, Strike Price = $100
Stock Price Call Payoff Put Payoff
Low Volatility Case
Rise 120 20 0Fall 80 0 2
0Expectation 100 10 10
High Volatility Case
Rise 140 40 0
Fall 60 0 40Expectation 100 20 20
The prices of options increase with the volatility of the stock
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FinanceFinance School of Management School of Management
Two-State Option Pricing: SimplificationTwo-State Option Pricing: Simplification
The stock price can take only one of two possible values at the expiration date of the option: either rise or fall by 20% during the year
The option’s price depends only on the volatility and the time to maturity
The interest rate is assumed to be zero
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FinanceFinance School of Management School of Management
Binary Model: CallBinary Model: Call
The synthetic call, C, is created by– buying a fraction x (which is called the hedge
ratio) of shares, of the stock, S– selling short risk-free bonds with a market
value y
yxSC
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FinanceFinance School of Management School of Management
Binary Model: Creating the Synthetic CallBinary Model: Creating the Synthetic Call
Call Option -$C $20 0
Buy x shares of stock - $100x $120x $80x
Borrow y y - y - y Total replicating portfolio -$100x+y $120x −y $80x −y
Cash Flow at Maturity Date
If S 1 = $120 If S 1 = $80
Synthetic Call
PositionImmediateCash Flow
S = $100, E = $100, T = 1 year, d = 0, r = 0
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FinanceFinance School of Management School of Management
Binary Model: CallBinary Model: Call
Specification:
– We have an equation, and give the value of the terminal share price, we know the terminal option value for two cases:
– By inspection, the solution is x=1/2, y = 40.
yx
yx
800
12020
The Law of One Price
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FinanceFinance School of Management School of Management
Binary Model: CallBinary Model: Call Solution:
– We now substitute the value of the parameters x=1/2, y = 40 into the equation
– to obtainyxSC
10$401002
1C
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FinanceFinance School of Management School of Management
Binary Model: PutBinary Model: Put
The synthetic put, P, is created by– selling short a fraction x of shares, of the
stock, S– buying risk free bonds with a market value y
yxSP
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FinanceFinance School of Management School of Management
Binary Model: Creating the Synthetic PutBinary Model: Creating the Synthetic Put
Put option -$P 0 $20
Sell short x shares of stock $100x - $120x - $80x
Invest y in the risk-free asset - y y y Total replicating portfolio $100x-y $0 $20
Cash Flow at Maturity Date
If S 1 = $120 If S 1 = $80
Synthetic Put
PositionImmediateCash Flow
S = $100, E = $100, T = 1 year, d = 0, r = 0
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FinanceFinance School of Management School of Management
Binary Model: PutBinary Model: Put Specification:
– We have an equation, and give the value of the terminal share price, we know the terminal option value for two cases:
– By inspection, the solution is x = 1/2, y = 60
yx
yx
800
12020
The Law of One Price
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FinanceFinance School of Management School of Management
Binary Model: PutBinary Model: Put
Solution:– We now substitute the value of the parameters
x=1/2, y = 60 into the equation
– to obtain:
yxSP
10$601002
1P
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FinanceFinance School of Management School of Management
Decision Tree for Dynamic Replication Decision Tree for Dynamic Replication of a Call Optionof a Call Option
F$80
E$100
D$120
C$90
A$100
B$110
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FinanceFinance School of Management School of Management
Decision Tree for Dynamic Replication Decision Tree for Dynamic Replication of a Call Optionof a Call Option
E$100
D$120
B$110
0
C11
$20
– The terminal option value for two cases:
120x – y = 20
100x – y = 0
– By inspection, the solution is x=1, y = $100
– Thus, C11 = 1*$110 − $100 = $10
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FinanceFinance School of Management School of Management
Decision Tree for Dynamic Replication Decision Tree for Dynamic Replication of a Call Optionof a Call Option
F$80
E$100
C$90
0
C12
0
– The terminal option value for two cases:
90x – y = 0
80x – y = 0
– By inspection, the solution is x=0, y = 0
– Thus, C12 = 0*$90 − $0 = $0
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FinanceFinance School of Management School of Management
Decision Tree for Dynamic Replication Decision Tree for Dynamic Replication of a Call Optionof a Call Option
C$90
B$110
A$100
0
C0
$10
– The terminal option value for two cases:
110x – y = 10
90x – y = 0
– By inspection, the solution is x=1/2, y = $45
– Thus, C0 = (1/2)*$100 − $45 = $5
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FinanceFinance School of Management School of Management
Decision Tree for Dynamic Replication Decision Tree for Dynamic Replication of a Call Optionof a Call Option
F$80
E$100
D$120
C$90
A$100
B$110
Buy 1/2 share of stockBorrow $45Total investment $5
Buy another half share of stockIncrease borrowing to $100
Sell stock and pay off debt
Sell shares $120Pay off debt -$100
Total $20
Sell shares $100Pay off debt -$100
Total 0
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FinanceFinance School of Management School of Management
Decision Tree for Dynamic Replication Decision Tree for Dynamic Replication of a Call Optionof a Call Option
<---------0 Months----------> <------------------6 Months----------------> 12 MonthsStockPrice x y CallPrice x y CallPrice
$120.00 $20.00$110.00 $10.00 100.00% -$100.00$100.00 50.00% -$45.00 $0.00$90.00 $0.00 0.00% $0.00$80.00 $0.00
($120*100%) + (-$100) = $20
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The Black-Scholes Model: The Limiting The Black-Scholes Model: The Limiting Case of Binomial ModelCase of Binomial Model
One can continuously and costlessly adjust the replicating portfolio over time
As the decision intervals in the binomial model become shorter, the resulting option price from the binomial model approaches the Black-Scholes option price
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FinanceFinance School of Management School of Management
The Black-Scholes ModelThe Black-Scholes Model
21
21
1
2
2
2
1
21
ln
21
ln
dNEedNSeP
dNEedNSeC
TdT
TdrES
d
T
TdrES
d
rTdT
rTdT
Shares of Stock
Bond
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FinanceFinance School of Management School of Management
The Black-Scholes Model: NotationThe Black-Scholes Model: Notation
C = price of call P = price of put S = price of stock E = exercise price T = time to maturity ln(·) = natural logarithm e = 2.71828... N(·) = cum. norm. dist’n
The following are annual, compounded continuously:– r = domestic risk free rate
of interest – d = foreign risk free rate
or constant dividend yield– σ = volatility
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The Black-Scholes Model: The Black-Scholes Model: Dividend-adjusted FormDividend-adjusted Form
EdNSedNeP
EdNSedNeC
T
TE
Se
d
T
TE
Se
d
TdrrT
TdrrT
Tdr
Tdr
21
21
2
2
2
1
21
ln
21
ln
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FinanceFinance School of Management School of Management
TSTS
PC
dNdNSPC
d
PdNdNSeC
TdTd
SeE
dT
Tdr
39886.02
0 If
21
;21
If
21
21
21
The Black-Scholes Model :The Black-Scholes Model :Dividend-adjusted Form (Simplified)Dividend-adjusted Form (Simplified)
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FinanceFinance School of Management School of Management
Determinants of Option PricesDeterminants of Option Prices
Increases in: Call Put Stock Price, S Increase Decrease Exercise Price, E Decrease Increase Volatility, sigma Increase Increase Time to Expiration, T Ambiguous Ambiguous Interest Rate, r Increase Decrease Cash Dividends, d
Decrease Increase
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Value of a Call and Put Options with Strike = Current Stock Price
0
1
2
3
4
5
6
7
8
9
10
11
0.00.10.20.30.40.50.60.70.80.91.0
Time-to-Maturity
Cal
l an
d P
ut
Pri
ce
call put
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FinanceFinance School of Management School of Management
Call and Put Prices as a Function of Volatility
0
1
2
3
4
5
6
0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20
Volatility
Cal
l an
d P
ut
Pri
ces
call put
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FinanceFinance School of Management School of Management
Implied VolatilityImplied Volatility
The value of σ that makes the observed market price of the option equal to its Black-Scholes formula value
Approximation:
TS
C 2
S E r T d C σ
100 108.33 0.08 1 0 7.97 0.2
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Implied Volatility
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FinanceFinance School of Management School of Management
Computing Implied Volatility
volatility 0.3154
call 10.0000strike 100.0000share 105.0000rate_dom 0.0500rate_for 0.0000maturity 0.2500
factor 0.0249
d_1 0.4675d_2 0.3098
n_d_1 0.6799n_d_2 0.6217
call_part_1 71.3934call_part_2 -61.3934
error 0.0000
Insert any number to start
Formula for option value minus the actual
call value
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FinanceFinance School of Management School of Management
Computing Implied Volatility
volatility 0.315378127101852
call 10strike 100share 105rate_dom 0.05rate_for 0maturity 0.25
factor =(rate_dom - rate_for + (volatility^2)/2)*maturity
d_1 =(LN(share/strike)+factor)/(volatility*SQRT(maturity))d_2 =d_1-volatility*SQRT(maturity)
n_d_1 =NORMSDIST(d_1)n_d_2 =NORMSDIST(d_2)
call_part_1 =n_d_1*share*EXP(-rate_for*maturity)call_part_2 =- n_d_2*strike*EXP(-rate_dom*maturity)
error =call_part_1+call_part_2-call
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Valuation of Uncertain Cash Flows: Valuation of Uncertain Cash Flows: CCA / DCFCCA / DCF
The DCF approach discounts the expected cash flows using a risk-adjusted discount rate
The Contingent-Claims Analysis (CCA) uses knowledge of the prices of one or more related assets and their volatilities
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An Example: Debtco Corp.An Example: Debtco Corp. Debtco is in the real-estate business It issues two types of securities:
– common stock (1 million shares)
– corporate bonds with an aggregate face value of $80 million (80,000 bonds, each with a face value of $1,000) and maturity of 1 year
– risk-free interest rate is 4% The total market value of Debtco is $100 million
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Debtco: NotationDebtco: Notation
– V be the current market value of Debtco’s assets ($100 million)
– V1 be the market value of Debtco’s assets a year from now
– E be the market value of Debtco’s stocks
– D be the market value of Debtco’s bonds
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FinanceFinance School of Management School of Management
Two Ways to Think about the Debtco’s Two Ways to Think about the Debtco’s Market ValueMarket Value
To think of the assets of the firm, real estates in Debtco’s case, as having a market value of $100 million
To imagine another firm that has the same assets as Debtco but is financed entirely with equity, and the market value of this all-equity-financed “twin” of Debtco is $100 million
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FinanceFinance School of Management School of Management
Payoffs for Bond and Stock Issues
0
20
40
60
80
100
120
0 20 40 60 80 100 120 140 160 180 200
Value of Firm (Millions)
Val
ue
of
Bo
nd
an
d S
tock
(M
illio
ns)
Bond Value
Stock Value
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FinanceFinance School of Management School of Management
-20
0
20
40
60
80
100
120
0 20 40 60 80 100 120 140 160 180 200
Value of the firm in 1 year
Va
lue
Value of the Bonds
Value of the Stock
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FinanceFinance School of Management School of Management
-20
0
20
40
60
80
100
120
0 20 40 60 80 100 120 140 160 180 200
Value of the firm in 1 year
Va
lue
Value of the Stock
The payoff is identical to a call option in which the underlying asset is the firm itself, and the exercise price is the face value of its debt
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FinanceFinance School of Management School of Management
The value of the firm’s equity
The value of the debt
D = V = E
1 2
2
1
2 1
( ) ( )
ln( / ) ( / 2)
rTE N d V N d Be
V B r Td
T
d d T
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FinanceFinance School of Management School of Management
Probalility Density of a Firm's Value
0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
0 20 40 60 80 100 120 140 160 180 200
Value of a Firm
Pro
bab
ility
Den
sity
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FinanceFinance School of Management School of Management
Debtco Security Payoff TableDebtco Security Payoff Table ($’000,000)($’000,000)
Security Payoff State A Payoff State B
Firm 140 70
Bond 80 70
Stock 60 0
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FinanceFinance School of Management School of Management
Debtco’s Replicating PortfolioDebtco’s Replicating Portfolio Let
– x be the fraction of the firm in the replication
– Y be the borrowings at the risk-free rate in the replication
– The following equations must be satisfied
308,692,57$;7
6
04.1700
04.114060
Yx
Yx
Yx
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FinanceFinance School of Management School of Management
Debtco’s Replicating Portfolio Debtco’s Replicating Portfolio ($’000)($’000)
Position Immediate Case A Case B
6/7 assets -85,714 120,000 60,000
Bond (RF) 57,692 -60,000 -60,000
Total 28,022 60,000 0
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FinanceFinance School of Management School of Management
Debtco’s Replicating PortfolioDebtco’s Replicating Portfolio
We know the value of the firm is $1,000,000, and the value of the total equity is $28,021,978, so the market value of the debt with a face of 80,000,000 is $71,978,022
The yield on this debt is (80…/71…) -1=11.14%
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FinanceFinance School of Management School of Management
Another View of Debtco’s Another View of Debtco’s Replicating Portfolio (‘$000)Replicating Portfolio (‘$000)
SecurityTotal
Market Value Equivalent
Amount of Firm Equivalent
Amount of Rf Debt
Bonds 71,978 14,286(1/7) 57,692
Stock 28,022 85,714(6/7) -57,692
Bonds + Stock 100,000 100,000 0
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FinanceFinance School of Management School of Management
Given the Price of the StockGiven the Price of the Stock Suppose:
– 1 million shares of Debtco’s stock outstanding, and the market price is $20 per share
– two possible future value of for Debtco, $70 million and $140 million
– the face value of Debtco’ bonds is $80 million– risk-free interest rate is 4%
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FinanceFinance School of Management School of Management
Valuing BondsValuing Bonds
We can replicate the firm’s equity using x = 6/7 of the firm, and about Y = $58 million riskless borrowing (earlier analysis)
The implied value of the bonds is then $90,641,026 − $20,000,000 = $70,641,026 & the yield is (80.00 − 70.64)/70.64 = 13.25%
026,641,90$76
308,692,57000,000,20
x
YEVYxVE
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FinanceFinance School of Management School of Management
Given the Price of the BondsGiven the Price of the Bonds
Suppose: – the face value of Debtco’ bonds is $80 million,
the yield-to-maturity on the bonds is 10% (i.e., the price of Debtco bonds is $909.09)
– two possible future value of for Debtco, $70 million and $140 million
– risk-free interest rate is 4%
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FinanceFinance School of Management School of Management
Replication PortfolioReplication Portfolio
Position Immediate Cash Flow
Scenario A V1= 70
Scenario B
Purchase x
of firm
- x V
70 x
Purchase Y
RF Bond - Y Y (1.04) Y (1.04)
Total Portfolio
- x V - Y 70 80
V1= 140
140 x
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FinanceFinance School of Management School of Management
Determining the Weight of Firm Determining the Weight of Firm Invested in Bond, Invested in Bond, xx, and the Value of the , and the Value of the
R.F.-Bond, R.F.-Bond, YY
308,692,57$;7
1
04.114080
04.17070
Yx
Yx
Yx
68
FinanceFinance School of Management School of Management
Valuing StockValuing Stock We can replicate the bond by purchasing 1/7 of the
company, and $57,692,308 of default-free 1-year bonds The market value of the bonds is $909.0909 * 80,000 =
$72,727,273
The value of the stock is therefore E = V −D = $105,244,753 − $72,727,273= $32,517,480
753,244,105$71
308,692,57273,727,72
;
x
YDVYxVD
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FinanceFinance School of Management School of Management
Convertible BondsConvertible Bonds
A convertible bond obligates the issuing firm either to redeem the bond at par value upon maturity or to allow the bondholder to convert the bond into a prespecified number of shares of common stock
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An Example: Convertidett Corp.An Example: Convertidett Corp. Convertidett has assets identical to those of Debtco Its capital structure consists of
– 1 million shares of common stock
– one-year zero-coupon bonds with a face value of $80 million (80,000 bonds, each with a face value of $1,000), that are convertible into 20 shares of Convertidett stock at maturity
– risk-free interest rate is 4% The total market value of Debtco is $100 million
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FinanceFinance School of Management School of Management
Critical value of Convertident for ConversionCritical value of Convertident for Conversion
Upon convertion, the total shares of stock will be 2.6 million
11 %5.616.26.1 VV
millionV
millionV
130$
80$6.26.1*
1
*1
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FinanceFinance School of Management School of Management
Convertible Bond
0
20
40
60
80
100
120
140
0 20 40 60 80 100 120 140 160 180 200
Value of the Firm
Val
ue
of
Sto
ck a
nd
Bo
nd
Issu
e
Convertible Bond Value
Dilulted Stock Value
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FinanceFinance School of Management School of Management
Payoff for Convertidett’s Payoff for Convertidett’s Stocks and BondsStocks and Bonds
Security Payoff State A Payoff State B
Firm 140,000,000 70,000,000
Bonds 86,153,846 70,000,000
Stocks 53,846,154
0
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FinanceFinance School of Management School of Management
Convertidett’s Replicating PortfolioConvertidett’s Replicating Portfolio Let
– x be the fraction of the firm in the replication– Y be the borrowings at the risk-free rate in the
replication– The following equations must be satisfied
148,775,51$;077,923,76.
04.1700
04.1140154,846.53
Yx
Yx
Yx
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FinanceFinance School of Management School of Management
Values of Convertidett’s Stocks and BondsValues of Convertidett’s Stocks and Bonds
929,147,25$148,775,51$077,923,76$ E
071,852,74$929,147,25$000,000,100$ EVD
%88.665.935$
65.935$000,1$
YTM
65.935$PriceBond
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FinanceFinance School of Management School of Management
Decomposition of Convertidett’s Decomposition of Convertidett’s Stocks and BondsStocks and Bonds
SecurityTotal
Market Value Equivalent
Amount of Firm Equivalent
Amount of Rf Debt
Bonds 74,852,071 23,076,923(0.23) 51,775,148
Stock 25,147,929 76,923,077(0.77) -51,775,148
Bonds + Stock 100,000,000 100,000,000 0
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FinanceFinance School of Management School of Management
Pure State-Contingent SecuritiesPure State-Contingent Securities
Securities that pay $1 in one of the states and nothing in the others
For Debtco and Convertidett, if we know the prices of the two pure state-contingent securities, then we are able to price any securities issued by the firms—stocks, bonds, convertible bonds, or other securities
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FinanceFinance School of Management School of Management
Valuing Pure State-Contingent SecuritiesValuing Pure State-Contingent Securities
Security Payoff Scenario a Payoff Scenario b
Firm $70,000,000 $140,000,000
Contingent Security #1
$0
$1
Contingent Security #2
$1 $0
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FinanceFinance School of Management School of Management
State-Contingent Security #1State-Contingent Security #1
967032467.004.1
1
000,000,70
000,000,100
000,000,1
04.1
1;
000,000,70
1
104.1000,000,140
004.1000,000,70
1
YxP
YxYx
Yx
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FinanceFinance School of Management School of Management
State-Contingent Security #2State-Contingent Security #2
04.1
1$538961.0$505494.0$033467.0$
495505494.004.1
2
000,000,70
000,000,100
000,000,1
04.1
2;
000,000,70
1
004.1000,000,140
104.1000,000,70
21
2
PP
YxP
YxYx
Yx
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FinanceFinance School of Management School of Management
Valuing Debtco’s SecuritiesValuing Debtco’s Securities
Price of a Debtco stock = 60P1 = 60*$.4670329 = $28.02
Price of a Debtco bond = 1,000P1 + 875P2
= 1,000*$.4670329 + 875*$.494505 = $899.73
Security Possible Payoff in 1 Year
Firm $140 million $70 million
Debtco Stock $60 0
Debtco Bond $1,000 $875
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FinanceFinance School of Management School of Management
Valuing Convertidett’s SecuritiesValuing Convertidett’s Securities
Price of a Convertidett stock = 53.86415P1
= 53.86415*$.4670329 = $25.15 Price of a Convertidett bond = 1,076.923P1 + 875P2
= 1,076.923*$.4670329 + 875*$.494505 = $935.65
Security Possible Payoff in 1 Year
Firm $140 million $70 million
Debtco Stock $53.85 0
Debtco Bond $1,076.92 $875
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FinanceFinance School of Management School of Management
Payoff for Debtco’s Bond GuaranteePayoff for Debtco’s Bond Guarantee
Security Scenario A Scenario B
Firm $140,000,000 $70,000,000
Bonds $1,000 $875
Guarantee $0 $125
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FinanceFinance School of Management School of Management
SCS Conformation of Guarantee’s PriceSCS Conformation of Guarantee’s Price
Guarantee’s price = 125P2 = 125* 0.494505 = $61.81
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FinanceFinance School of Management School of Management
Credit Guarantees Guarantees against credit risk pervade the financial
system and play an important role in corporate and public finance– Parent corporations routinely guarantee the debt obligations of
their subsidiaries
– Commercial banks and insurance companies offer guarantees in return for fees on a broad spectrum of financial instruments ranging from traditional letters of credit to interest rate and currency swaps
– The largest providers of financial guarantees are almost surely governments and governmental agencies
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FinanceFinance School of Management School of Management
Credit Guarantees Fundamental identity:
– Risky loan+ loan guarantee=default-free loan
– Risky loan= default-free loan-loan guarantee
The credit guarantee is equivalent to writing a put option– on the firm's assets
– with a strike price equal to the face value of the debt. The guarantee's value can, therefore, be computed using the adjusted put-option-pricing formula