mod4-optn-pricing.pptx
TRANSCRIPT
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Module 4: Option Pricing
1
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Put-Call Parity
•
Both portfolios are worth the same onmaturity – expiration of options
• Both are uropean options – hence can
not !e exercised !efore expiry date• "ence their #alue must !e e$ual today
• %hus:
• %his is called Put-Call Parity& 't pro#idesa !asis for deri#ing the price of a callfrom a put ( #ice #ersa) when stri*e
price ( expiry date are same
0S p Kec rT +=+
−
+
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Contents
• Our focus will !e on ,toc* Optionsonly !ecause that is the typical
model applied for understandingoptions
• "owe#er the principles are
applica!le withwithout smallmodi.cations) if re$uired) to othertypes of underlying assets also
/
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Contents
• Binomial model of OptionPricing
• Blac*-,choles model of OptionPricing
•
0elated issues
4
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Option Pricing – Binomial Model foruropean Options
•
Based on the concept of !inomial trees• !inomial tree is a diagrammatic
representation of the #arious paths
that the price of the underlying stoc*may follow during the lifetime of anoption
• 2nderlying assumption: ,toc* pricefollows a random wal*
• 'n each time inter#al there is a certain
pro!a!ility that the stoc* price will 5
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Binomial Model
• 6o ar!itrage argument: 't is an
assumption that is made in order toarri#e at the e$uili!rium price of theoption& s long as there are ar!itrage
opportunities there will !e dise$uili!riumin the options mar*et ( price will !eunsta!le&
• 7ogic: portfolio in the lines of a co#eredcall is set up with an in#estment hori8one$ual to the maturity of the option& 'tconsists of a long position in some shares
( a short position in 1 call option& %he 9
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Binomial Model: 7ogic
•
%he components of the portfolio areli*ely to #ary in #alue o#er time&"owe#er it is constructed in a way soas to *eep the o#erall #alue of theportfolio constant at maturity&
• Because the portfolio #alue at maturity
is sta!le it is ris*-free& "ence it mustearn a return e$ual to the ris*-freerate&
•
On this !asis the #alue of the portfolio;
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Binomial Model: 7ogic
•
%he #alue of the option is deri#ed fromthe cost of setting up the portfolio atthe inception&
•
Portfolio consists of a long position in <no& of shares ( a short position in 1uropean call option&
•
%he stoc* price can ha#e two possi!leoutcomes at maturity: it can mo#e upor down&
•
=hen the portfolio is designed to !e >
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Binomial Model: ssumptions
•
6o ar!itrage assumption: 'mpact onpricing
• Perfect ( competiti#e mar*ets – 6o
transaction costs) 6o margins) 6otaxes) short sales are allowed) fractionsof securities can !e traded) !orrowing( lending rates are same: 'mplies freetrading in all mar*ets
• 0is* free interest rate) si8e of uptic* (
si8e of downtic* are *nown in e#ery @
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Binomial Model: 6o ssumptions On
•
6o assumption made on theactual pro!a!ilities on theuptic*downtic*
• 6o assumption made onexpected returns on the stoc*
• 6o assumption made on thein#estorsA degree of ris*
a#ersion 1
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Binomial Model: 6otations
• , : ,pot price at time
• f : Current price of call option3uropean
• % : %ime to expiration
• u : Multiple !y which the stoc* pricechanges during % 3u 1 so thatending price D ,u
• d : Multiple !y which the stoc* pricechanges during % 3d E 1 so thatending price D ,
d11
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Binomial Model
•
7et < !e the no& of shares in which longposition is ta*en
• 'f the stoc* price increases at maturity
then portfolio #alue D <,u - f u • 'f the stoc* price decreases at maturity
then portfolio #alue D <,d - f d
• %he portfolio will !e said to !e ris*-freewhen its #alue at maturity is same inall conditions& %hus: <,u - f u D <,d - f d
O0 1&
d S uS
f f d u
00 −
−=∆
1+
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Binomial Model
• %he portfolio is ris*-free& "ence it mustearn ris*-free rate of interest in order toa#oid ar!itrage opportunities& Gi#en the#alue of portfolio at maturity its present
#alue will !e• Cost of setting up the portfolio at
inception:
• 'n a no ar!itrage situation the cost ofsetting up must !e e$ual to the present
#alue of the #alue at maturity& %hus:
rT
u e f uS −−∆= )( 0
f S −∆0
rT
u
rT
rT
u
e f ueS f
e f uS f S
−−
−
+−∆=
−∆=−∆
)1(
OR )(
0
00
1/
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Binomial Model
=hen the expression for < is su!stitutedwe get:
+&
/&
$uations + ( / are applica!le for optionpricing when stoc* price follows one-period!inomial model&
•
%he underlying principle is called 0is*-
rT
u
rT
rT
u
e f ueS f
e f uS f S
−−
−
+−∆=
−∆=−∆
)1(
OR )(
0
00
d u
d e pwhere
f p pf e f
rT
d u
rT
−
−=
−+= −
:
])1([
14
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Binomial Model: 0is* 6eutral Haluation
•
'n#estors are assumed to !e ris*neutral – they are indiFerent towardsris*? so they re$uire 6O
compensation for ris*• "ence expected return on all
securities is the ris*-free rate of
return• 'n a ris* neutral world in#estors are
indiFerent to the actual pro!a!ilities
of the stoc* price mo#ing updown –15
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Binomial Model: 0is* 6eutral Haluation
• %he portfolio is designed to !e ris*-
free – the no& of shares is such thatthe #alue of the portfolio remains thesame whether the stoc* mo#es up ordown
• %he terms p ( 31 – p in e$uations +
( / are not the true pro!a!ilities ofthe up ( down mo#ements of thestoc*
•
0ather they may !e interpreted to !e19
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Binomial Model: 0is* 6eutral Haluation
• %hus the option price today is the
expected payoF from the option infuture) discounted !ac* at the ris*-free rate
• %he terms p and 31 – p wheninterpreted to !e the pro!a!ilities ofthe stoc* price mo#ing updown in aris* neutral world are called ris*neutral pro!a!ilities
•
't can !e shown: with ris* neutral 1;
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Binomial Model: ,ome 'mportant spects
• position in an option is ris*ier than the
position in the underlying asset• "ence the discount rate to e#aluate its
payoFs must !e greater than the expected
return on the underlying asset in the realworld
• "owe#er without *nowing the options #aluenow the discount rate for option cannot !e
*nown ( without *nowing the discount rateits #alue now cannot !e calculated
• Haluing the option in a ris* neutral
framewor* is easy !ecause discount rate for1@
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%wo ,tep Binomial Model
• %here are two consecuti#e periods
of time during which the shareprice can consecuti#ely change (so can the option price
• %he option price at time can !earri#ed at in a stepwise manner
along the !inomial tree using thesame procedure ( formulae usedin case of one period !inomial
model +1
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Multi-,tep Binomial Model
• s the no& of stepsperiods is
increased we get scenarios that tendto !e closer to reality
• "owe#er such scenarios are too
complicated to !e sol#ed manually• "ence in real life the !inomial model
can !e applied only !y software
• %he result will !e more accurate thanthe one period !inomial model
++
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Multi-,tep Binomial Model• 'n !oth +-step ( multi-step !inomial models
the expiry period of the option is !ro*endown into + or more su!-periods
• ,o in the last nodes of the tree there aremultiple possi!le stoc* prices ( optionpayoFs ( their pro!a!ilities – Kointpro!a!ilities of the up ( down mo#ements ofstoc* price through #arious paths
• ,o the expression of the expected payoF ofthe option at the end of the last time step isexpanded !ecause of the #arious possi!ilities
+/
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Binomial Model: Other Hariants
a& Options on stoc*s paying
continuous di#idends
!& Options on stoc* indices
c& Options on currenciesd& Options on futures
+4
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Binomial Model: Other Hariants
a& Options on stoc*s paying
continuous di#idend yield 3$:
• %he !inomial principle still
remains the same• 'n a ris* neutral world the total
return to the stoc*holders fromdi#idends ( capital gains will!e D 0is*-free rate 3r which is
compounded continuously+5
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Binomial Model: Other Hariants
a& Options on stoc*s paying continuous
di#idend yield 3$:• %he !inomial pricing model for options
on stoc*s not paying any di#idends uses
ris*- free rate which is e$ui#alent to thecapital gains yield in a ris* neutral world
• =ith 8ero di#idends) total stoc* return
D capital gains yield D ris*-free rate• %he rele#ant discount rate is the capital
gains yield in 8ero di#idends case+9
i i l d l h i
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Binomial Model: Other Hariants
a& Options on stoc*s paying continuous
di#idend yield 3$:• =ith *nown di#idend yield the capital
gains yield will !e D r – $
• Because the %otal yield D Li#idend yield Capital Gains yield D 0is*-free rate 3r
• s di#idends reduce the stoc* price it
will grow at the rate of: r – $
• "ence su!stitute r with r – $ in theoriginal !inomial pricing model
+;
Bi i l M d l O h H i
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Binomial Model: Other Hariants
!& Options on stoc* indices:
• ,toc* indices are assumed to pro#idea *nown cumulati#e di#idend yield $3from the stoc*s comprising theindex
• "ence the !inomial pricing of options
on stoc* indices is similar in principleto the #aluation of an option on astoc* paying *nown di#idend yield
+>
Bi i l M d l O h H i
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Binomial Model: Other Hariants
c& Options on Currencies:
• foreign currency is an asset pro#idinga yield at the ris*-free rate of interest3rf in the foreign country
• "ence the appropriate discount rate isthe domestic ris*-free interest rate 3rminus foreign ris*-free interest rate: r – rf
• %he model is similar to that of stoc*swith *nown di#idend yields ( stoc*indices
+@
Bi i l M d l Oth H i t
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Binomial Model: Other Hariants
d& Options on Nutures:
• %here is no cost of entering into along or short position in a futures
• 'n a ris* neutral world the expectedgrowth rate of the price of a futurescontract should !e 8ero
•
,o the expected futures price at theend of the time inter#al should !ethat at time 8ero: pNu 31 – pNd D
N /
Bi i l M d l Oth H i t
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Binomial Model: Other Hariants
d& Options on Nutures:
• pNu 31 – pNd D N
• %hus the ris* neutral pro!a!ility
of a up mo#ement in the futuresprice 3p will !e:
d u
d p
−
−=1
/1
Binomial Model Critical ppraisal
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Binomial Model: Critical ppraisal
• %he principal merit of the !inomial
model is its exi!ility• 't can !e used to e#aluate a wide
#ariety of options including mericanoptions
• MaKor limitation: if we increase the
no& of time steps then the model willre$uire a #ery large no& of inputswhich can !e handled only !y a
computer/+
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Nrom Binomial %o Blac*-,choles Model 3B,M
• Binomial model is a discrete time model• 't allows for a time inter#al 3t !etween
price mo#ements
• 'f t tends to 8ero then in the limit twotypes of distri!utions are possi!le
a& 6ormal – if price changes tend to 8ero
as t tends to 8ero!& Poisson – if price changes remain large
as t tends to 8ero 3allows for sudden
Kumps /4
N Bi i l % Bl * , h l M d l 3B,M
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Nrom Binomial %o Blac*-,choles Model 3B,M
• B,M explicitly assumes that the price
process is continuous• 't uses normal distri!ution as the
limiting distri!ution as t tends to 8ero
• ,toc* prices cannot assume –#e#alues !ecause of limited lia!ility ofshareholders – hence cannot !e
normally distri!uted• %he distri!ution of natural log of stoc*
prices is assumed to !e normal in B,M/5
N Bi i l % Bl * , h l M d l 3B,M
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Nrom Binomial %o Blac*-,choles Model 3B,M
• B,M is a special case of the Binomial
model• =e reach the B,M from the !inomial if we
reduce the time inter#al to extremely
short inter#als such that in !etween time 3!eginning ( time % 3expiry there arein.nite no& of time inter#als) each one isextremely short
• %his would happen if trading is acontinuous phenomenon – for somemar*ets this assumption is close to reality
/9
Blac* ,choles Model 3B,M
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Blac*-,choles Model 3B,M
• ,toc* prices cannot !e less than
3explained !efore ( stoc* returnscannot !e less than –1I
• "ence the closely approximatingdistri!ution for !oth stoc* prices (stoc* returns is the lognormaldistri!ution
• B,M is originally applica!le touropean call options on stoc*s not
paying di#idends/;
B,M ssumptions
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B,M: ssumptions• 6o di#idends paid on the stoc*
• 6o transaction costs• 0is*-free interest rate is *nown ( is
constant during the life of option
•,hort-selling of stoc* is allowed
• Call can !e exercised only on expiry
• ,toc* prices change randomly ( trading
ta*es place continuously• ,toc* prices ( returns at any point of time
are !est explained !y lognormal distri!ution
/>
B,M ssumptions
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B,M: ssumptions
• Most of the assumptions of the BM
are present in the B,M• %wo additional assumptions:
•
%rading is continuous – thishappens when mar*ets are alwaysopen
• %he stoc* price !eha#iour o#ertime follows a stochastic process
called Geometric Brownian Motion/@
B,M: ssumptions
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B,M: ssumptions• %here are two critical assumptions: 1&
#olution of stoc* prices o#er time followsGeometric Brownian Motion? +& t any pointof time the stoc* price ( stoc* return arelognormally distri!uted
• %he 1st assumption tells how the parametersof the lognormal distri!ution in the +nd assumption will change o#er time
• 'f stoc* returns are lognormally distri!utedthen ln(St / St-1) will !e normally distri!uted&
ln(St / St-1) is the continuously compounded
return during 1 time inter#al 3t-1 to t4
B,M: 0easona!leness of 7ognormality
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B,M: 0easona!leness of 7ognormality
• 'f returns are lognormally distri!uted
then lowest possi!le return in anyperiod is -100% 3whereas if returns arenormally distri!uted there is some
pro!a!ility that returns will !e less than-1I
• 7ognormal return distri!ution is s*ewed
to the right !ecause while the lowestreturn is -1I) there is no limit on thehighest return - hence right s*ewed
41
7ognormal Property of ,toc* Prices
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& 7ognormal Property of ,toc* Prices
• xpected return 3 p&a& on stoc* (
#olatility of returns 3Q p&a& are *nown• 2nderlying assumption: Percentage
3Proportionate changes in stoc* price in
a short time period are normallydistri!uted& %his is related to theGeometric Brownian Motion&
•
Lue to 7ognormal property of stoc*prices ln3, % is normally distri!uted with
mean ( s&d& expressed in terms of , )
( Q 4+
7ognormal Property of ,toc* Prices
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& 7ognormal Property of ,toc* Prices
• 2nderlying assumption: Percentage
3Proportionate changes in stoc* pricein a short time period are normallydistri!uted: 1&
• ln3, % is normally distri!uted withmean ( s&d& expressed in terms of , )
( Q
+& due tolognormality
or /&
),( 2 t t S
S ∆∆≈
∆σ µ φ
],)2
[(lnln 22
0 T T S S T
σ σ µ φ −≈−
],)
2
([lnln 22
0 T T S S T σ σ
µ φ −+≈
4/
7ognormal Property of ,toc* Prices
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& 7ognormal Property of ,toc* Prices
• Calculate the @5I con.dence
inter#al of the prices of a stoc*after 9 months) gi#en the
following data:• Current stoc* price: 4)
• xpected return: 19I pa)
• Holatility: +I pa
44
B Listri!ution of Continuously
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B& Listri!ution of ContinuouslyCompounded 0ate of 0eturn
• =hat is the Pro!a!ility distri!ution ofcontinuously compounded rate of return parealised !etween time ( time % J 3Based on7ognormal Property
• LiFerent from !ecause is &M& of the annualreturns whereas continuously compounded
return is !ased on the G&M& of returns o#er #erysmall inter#als of time !etween ( %
• %he a!o#e distri!ution is normal with mean (s&d& expressed in terms of ) Q ( %
45
B Listri!ution of 0ate of 0eturn
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B& Listri!ution of 0ate of 0eturn
Nrom relationship + earlier it can !e said:
%hus as time % increases the standardde#iation of continuously compoundedreturn pa !etween times ( % declines
0
0 ln
1
or S
S
T xeS S
T xT
T ==
),2
(
22
T x σ σ µ φ −≈
49
B Listri!ution of 0ate of 0eturn
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B& Listri!ution of 0ate of 0eturn
• Calculate the @5I con.dence
inter#al of a#erage rate of return3GM return realised on a
continuously compounded !asison a stoc* o#er a period of /years gi#en the following data:
• xpected return: 1;I pa• Holatility: +I pa
4;
C Holatility
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C& Holatility
• Holatility 3Q in stoc* returns 3( hence
in stoc* price is measured annually• Q can !e estimated from the #olatility
of the continuously compounded daily
returns i&e& #olatility in log of dailyprice relati#es: ln3,i ,i-1
• 'f s D s&d of daily log price relati#es
then: stimated annual #olatility:• ,tandard error of estimate:n2
∧
σ
Γ
=
Λ sσ
4>
C Holatility
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C& Holatility
• Holatility 3Q in stoc* returns 3( hence
in stoc* price is measured annually• Rear is measured in trading days not in
calendar days& "ence 1 year D +5+
trading days• 'f #olatility is estimated on a daily !asis:
• 7ife of an option 3% in years :
252dayg per tradinVolatility p.a.Volatility ×=
252
expiryoptiontilldaystradingof No.=T
4@
C Holatility
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C& Holatility
• g: %he s&d of continuously
compounded daily returns is 1&+19I&stimate the #olatility of annualreturns and the standard error of
estimate? the s&d is estimated with +data points of daily returns& ssume 1year D +5+ trading days&
5
L Basics of the B,M
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L& Basics of the B,M
• %he same source of uncertainty aFects the
option price ( the stoc* price• %he #alue of a stoc* option expressed in terms
of the #alue of the underlying stoc* does notdepend on the expected return on the stoc*
• portfolio can !e formed out of the option (the stoc* such that the uncertainty is eliminated
• %he portfolio !ecomes ris*-less for a #ery small
inter#al of time only• ,o the portfolio has to !e re!alanced #ery
fre$uently in order to *eep it ris*-free in e#eryinstant of time
51
%h Bl * , h l M t N l
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%he Blac*-,choles-Merton Normulae
T d T
T r K S d
T
T r K S d
d N S d N e K p
d N e K d N S c
rT
rT
σ−=σ
σ−+=
σ
σ++=
−−−=
−=
−
−
10
2
01
102
210
)22()ln(
)22()ln(
)()(
)()(
where
5+
Blac*-,choles Model: 6umerical
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Blac*-,choles Model: 6umerical
•
Sue: Calculate the price of a /-month uropean call option on anon-di#idend paying stoc*& %he
stri*e price is '60 +5 when thecurrent price is '60 +5& %he ris*-free interest rate is 1I p&a& and
#olatility is /I p&a& =hat will !ethe price of a put optionJ
5/
B,M: dKustment for Li#idends
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B,M: dKustment for Li#idends
•
Tnown di#idends• Tnown di#idend yield
54
B,M: dKustment for Tnown Li#idends
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B,M: dKustment for Tnown Li#idends
• Payment of di#idends reduces thestoc* price
• Li#idend payments tend to ma*e calloptions less #alua!le ( put options
more #alua!le• ,o su!tract the present #alue of the
expected di#idends from current price
!efore inputting the same in the model• ,o in the B,M replace the factor , !y:
, – PH 3Li#idends55
B,M: dKustment for Tnown Li#idends
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B,M: dKustment for Tnown Li#idends
nother way of understanding this:
• stoc* price may !e considered to !ethe sum of two components: 3a a
0is*less component and 3! a 0is*ycomponent
• %he ris*less component corresponds
with the *nown di#idends• =hen there are no di#idends the
current stoc* price is only the function
of the ris*y component59
B,M: dKustment for Tnown Li#idends
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B,M: dKustment for Tnown Li#idends
• =hen there are *nown di#idends the ris*less
component is the present #alue of all di#idendsoccurring during the life of the option
• By the time the option expires all di#idends
would ha#e !een paid – hence there will !e noris*less component
• ,o stoc* price after payment of di#idends onlyreects the ris*y component
• 'n present #alue terms: the present #alue ofris*y component should !e e$ual to stoc* priceat time minus present #alue of di#idends
5;
B,M: dKustment for Tnown Li#idends
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B,M: dKustment for Tnown Li#idends
• Sue: Calculate the price of auropean Call option on a stoc*which has ex-di#idend dates in +-
monthsA and 5-monthsA time& achtime the di#idend will !e '60 &5& %he current stoc* price is '60 4)
stri*e price is '60 4 ( #olatility is/I p&a& %he life of the option is 9months ( ris*-free interest rate is
@I&5>
B,M: dKustment for Tnown Li#idend Rield
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B,M: dKustment for Tnown Li#idend Rield
• 7imitation associated with the pre#iousapproach is that if the option expirationperiod is long then it is unrealistic to saythat di#idends are *nown
• more realistic assumption is thatdi#idend yield 3y D di#idends currentmar*et price of the asset is *nown (
shall remain constant during the life ofthe option
• 0eplace , !y ,e-y% in the B, e$uations5@
B,M: dKustment for Tnown Li#idend Rield
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B,M: dKustment for Tnown Li#idend Rield
• %he current stoc* price is multipliedwith a discount factor calculated onthe !asis of the di#idend yield to
account for the expected drop in#alue from di#idend payments
• %he interest rate is oFset !y the
di#idend yield !ecause the carryingcost of the stoc* decreases due tothe di#idend yield
9
B,M: Modi.ed for Tnown Li#idend Rield
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B,M: Modi.ed for Tnown Li#idend Rield
T d T
T yr K S d
T
T yr K S d
d N eS d N e K p
d N e K d N eS c
yT rT
rT yT
σ
σ
σ
σ
σ
−=−−+
=
+−+=
−−−=
−=
−−
−−
10
2
01
102
210
)22()ln(
)22()ln( !"ere
)()(
)()(
91
B,M: Tnown Li#idend Rield
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B,M: Tnown Li#idend Rield
•
Calculate the price of a uropeanCall option on a stoc* whichpro#ides a continuous di#idend
yield of +&5I& %he current stoc*price is '60 5) stri*e price is '605 ( #olatility is 4I p&a& %he life
of the option is 9 months ( ris*-free interest rate is @I&