Lecture 2 - Discrete Models 1
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Transcript of Lecture 2 - Discrete Models 1
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8/3/2019 Lecture 2 - Discrete Models 1
1/191
Single-Period Model
We consider N securities at times 0 and 1:
S(t)=[S1(t),S2(t),..,SN(t)], t=0,1, where
Si(1,) - r.vs defined on a sample space .
The time-1 prices can be written as
IfS1
is the bank account then
where i is the one-period interest rate (nonnegative).
At time t=0 an investor selects a portfolio.
j = the number of units of assetj held from 0 to 1.
The column vector = [1,..,N]T - a trading strategy.The value of the portfolio at time t:
=
),1(),1(),1(
),1(),1(),1(
),1(),1(),1(
),1(
21
22221
11211
MNMM
N
N
SSS
SSS
SSS
S
L
MLMM
L
L
).(...)()( 11 tStStS NN ++=
,,1),1(Sand1)0( 11 +== iS
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Arbitrage. State Price Vector.
Def (5.2.1) An arbitrage opportunity is a
trading strategy such that
A security market model is arbitrage free if
there are no arbitrage opportunities.
Def (5.2.2) A state price vector is a strictlypositive row vector [(1),.., ()] for which
S(0) = S(1, ).Equivalently,
Def. The Arrow-Debreu security for outcome
m, m=1,..,M, is a security that at time 1 pays 1if outcome m occurs, and 0 otherwise.
It has the payoff vector
em=[0,..,0,1,0,..,0]T, with 1 in the m-th position.
.0)S(1,and0)0( > S
.,..,1),,1()()0( NjSS jj ==
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Fundamental Theorem of Asset
Pricing. Risk-Neutral Measures.
Theorem (5.2.3) The single-period securitiesmarket model is arbitrage free if and only if
there exists a state price vector.
Suppose that S1 is a bank account. Define
From the definition of a state price vector :
In particular,
Hence, the price at t=0 can be interpreted as the
expected discounted price of the security with
respect to the probability measure Q, not P.
Thus, staring with a state price vector, we have
constructed what is called a risk-neutral
probability measure.
.),()1()( += iQ
N.1,..,jfor,1
),1()()0()1( =+=
iSQS jj
==
).(1)0(1 QS
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Risk-Neutral Probability Measures.
Def. (5.2.4) A risk-neutral probability measureis a probability measure Q on such that
(i) Q() > 0, for all from .
(ii) Equation (1) holds for j=2,..,N.
Under this measure the expected discounted
price on any security equals the initial price of
the same security.
Theorem (5.2.5) Suppose security 1 is a bank
account. Then the following are equivalent:
(i) The single-period model is arbitrage free.
(ii) There exists a state price vector.
(iii) There exists a risk-neutral probability
measure.
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Valuation Of Cash Flows
In the case of single-period models, any cash
flow at time 1 can be represented by a randomvariable, say X.
What is the time-0 value of X?
Definition We say that the trading strategy replicates the cash-flow X if
Definition We say that the cash flow X is
attainable if it can be replicated by some trading
strategy.
Theorem (5.2.6) In an arbitrage-free, single
period model, the time-0 value of an attainable
cash flow X is equal to the time-0 value of the
portfolio that replicates X.
.all),(),1( = XS jj
j
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Valuation Of Cash Flows
Observe that if
S(1,)=X S(1,) =X.Since, S(0) = S(1,) , we have
S(0) = XTherefore, the time-0 price of the replicating
portfolio is equal to X, which can becomputed by knowing the state price vector.
Theorem (Risk Neutral Valuation) (5.2.7)
In an arbitrage-free, single period model, the
time-0 value of an attainable cash flow X is
equal to X, where is the state price vector.If, in addition, security 1 is a bank account with
short interest rate i, then
where Q is the risk-neutral probability measure.
,1
)()(
+=
i
XQX
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Completeness in the Single-Period
Model
Definition (5.2.8) An arbitrage-free marketmodel is said to be complete if for every cash-
flow vector X there exists some trading strategy such thatS(1,) =X.
Theorem (5.2.9) Suppose a single-period
model is arbitrage free. Then the model iscomplete if and only if there is unique state
price vector.
Corollary (5.2.10) Suppose security 1 in asingle-period model is a bank account. Then
this model is arbitrage free and complete if and
only if the risk-neutral probability measure is
unique.
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One-period model: two assets
Two assets S1, S2:
Assumptions: all the prices are strictly positive
the market is complete: returns on the
securities are linearly independent
We also have a derivative security with payoffat time 1:
2,1)),,1(),,1((),1( 21 == jSSgV jjj
),1( 11 S
),1( 21 S
)0(1
S
),1( 12 S
),1( 22 S
)0(2
S
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One-period model (continued)
We can construct a portfolio of the two
primitive securities that has the same value as
the derivative security in each state at time 1.
To ensure the same payoff we must have:
A unique solution must exist because of the
complete market assumption. Important step: if there is no arbitrage, then
the time-0 value of the portfolio must be equal
to the time-0 price of the derivative. Hence,
Otherwise we would make arbitrage profits
with a zero initial investment.
).,1(),1(),1(
),,1(),1(),1(
2222112
1221111
SSV
SSV
+=+=
).0()0()0( 2211 SSV +=
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One-period model (continued)
The key assumptions for the valuation
formula and their implications:
Market is
complete
Replication of the derivative
payoff is feasible
Current price of the
derivative = current value ofthe replicating portfolio
No
arbitrage
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One-period model (continued)
Equivalent expression for the price of the
derivative security:
if
we have
where
In terms of expectations:
where Q1 - the probability measure {q1,1-q1}.
,)0(
),1(
1
111
S
Su
= ,
)0(
),1(
2
122
S
Su
=
,)0(
),1(1
211
SSd = ,)0( ),1(2
222
SSd =
,),1(
)1(),1(
)0(2
21
1
11
u
Vqu
VqV
+=
).1,0()(
2112
2111
=
dudu
dduq
],)1(
)1([
)0(
)0(
11
1
S
VE
S
V Q=
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The Multiperiod Model
We considerNsecurities at times k=0,1,..,T:
S(k)=[S1(k),S2(k),..,SN(k)],
where Si(k,) denotes time k price of security i if the
underlying state of the world is .
For each from we call the function
k -> Sj(k, )
a sample path of the stochastic process {Sj}.
We assume that S1 is the bank account:
S1(0, )=1 and k -> S1(k, ) is nondecreasing The r.vs
are called the one-period interest rate.In the special case where ik=i:
Example: Binomial Stock Price Model.
,1,..,1,0,01)(
)1(:
1
1=
+= Tk
kS
kSik
.,..,1,0,)1()(1 TkikS
k=+=
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The Multiperiod Model
By Pkwe denote the set of all events that are
known by the investors at time kby observingprices S(0),S(1),..,S(k). We can view Pkas a
partition of.
Definition (5.3.2.) A stochastic process
X={X(k):k=0,1,..,T} is said to be adapted to the
information submodel {Pk;k=0,1,..,T} if, for
each k, there is a function such thatX(k,) can
be expresses as this function of the time-k
history, for all from .
Definition (5.3.3.) A stochastic process
X={X(k):k=0,1,..,T} is said to be a martingale
if it is adapted and
E[X(k+1)| Pk]=X(k), k=0,1,..,T-1.
Remark: The conditional expectationE[X(k+1)| Pk] is
the same as the conditional expectation
E[X(k+1)| S(0),S(1),..,S(k)] .
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Self-Financing Trading Strategies
Let j(k,) denote the number of shares of
securityj held from time kto time k+1. Thenthe stochastic process
: = {(k); k=0,1,..,T-1}is referred to as a trading strategy.
Observe that {(k)} is adapted to Pk. The time-k value of the portfolio is given by
V(k, )=S(k,)(k, ), k=0,1,..,T-1. We should also consider the value of the
portfolio just before time-t transactions:V(k-, )=S(k,)(k-1, ), k=1,..,T.
The cash flow out of the portfolio at time k:
Definition A trading strategy is said to be
self-financing if c
(1)= c
(2)=..= c
(T-1)=0.
.
),,(
1,..,1),,(),(
0),,(
),(
=
=
=
=
TkkV
TkkVkV
kkV
kc
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The Fundamental Theorem of Asset
Pricing
Def (5.3.1) A multiperiod market model admits
arbitrage if there is a self-financing trading
strategy , called an arbitrage opportunity, s.t.:
Def (5.3.4.) A risk-neutral probability measure
is a probability measure Q on satisfying1. Q() > 0, for all from .2. S
j
/S1
is a martingale under Q for j=2,3,..,N.
Def (5.3.5.) A stochastic process
={();=0,1,..} is said to be a state priceprocess if the following conditions are true:
for all time-khistoriesH, all k=0,1,..,T-1, and allj=1,..,N.
++=H
j
H
j kSkkSkd
),,1(),1(),(),(.
0)0()0()0(.1 = SV
0)1()()(.2 >= TTSTV
= 1),0(.a
positivestrictlyisIt.c
adaptedisIt.b
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The Fundamental Theorem of Asset
Pricing.
Theorem (5.3.6.) For a multiperiod model of asecurities market the following are equivalent:
a. The model is arbitrage free
b. There exists a state price process.
c. There exists a risk-neutral probability measure.
Proposition (5.3.8.) If Q is a risk-neutral
probability measure and if is a self-financingtrading strategy, then the discounted value of
the corresponding portfolio is a martingale
under Q:
for all .0 Ttk
= k
QP
tStVE
kSkV |
)()(
)()(
11
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Valuation Of European Options
Suppose that X is a European option:
X=g(S1(T),,SN(T)).
We say thatXis attainable if there exists a self-
financing trading strategy such that
V(T)=X.
Theorem (5.3.9.) In an arbitrage free
multiperiod model, the time-0 value of an
attainable European option X is equal to thetime-0 value of the portfolio that replicates X.
Theorem (5.3.10.) In an arbitrage-free
multiperiod model having-risk neutral
probability measure Q, the time-0 value of an
attainable European option X is equal to
==
).(),(
),(
)()(
)( 11XT
TS
XQ
TS
XEQ
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18/1918
Valuation Of Cash-flow Streams
Suppose that c is a cash-flow stream described by an
adapted process:
c={c(k,); k=1,2,,T}.
A trading strategy (not necessarily self-financing) andthe corresponding portfolio V are said to replicate c andto finance c if
c(k)=c(k), k=1,2,,T.
The cash-flow stream c is attainable if it can be replicated
by some trading strategy . Theorem (5.3.11.) In an arbitrage free
multiperiod model, the time-0 value of an
attainable cash-flow stream c is equal to the
time-0 value of the portfolio that finances c.
Theorem (5.3.12.) In an arbitrage-free
multiperiod model having-risk neutral
probability measure Q, the time-0 value of anattainable attainable cash-flow stream c is
==
=
.),(),()(
)(
11 1
T
k
T
k
Q kckkS
kcE
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Completeness in the Multiperiod
Model
Definition (5.3.13.) An arbitrage-free market
model is said to be complete if every adapted
cash-flow stream c is financed by some trading
strategy .
Theorem (5.3.14.) For an arbitrage-free
multiperiod model, the following areequivalent:
a. The model is complete.
b. The state price is unique.
c. The risk-neutral probability measure Qis unique.