30 2 Models of Financial Markets on Finite Probability Spaces
The converse inclusion follows by symmetry. In the financial market mod-
elled byXwe can chooseWt=V^1 tas num ́eraire. The passage fromXtoSext
is then done by usingWas a new num ́eraire and the inclusion we just proved
then yields
K(S)⊂
1
WT
K(X)=VTK(X).
This shows thatK(S)=VTK(X) as required.
Theorem 2.5.4 (change of num ́eraire). Let S satisfy the no-arbitrage
condition, let V =1+H^0 ·S be such that Vt > 0 for all t,andlet
X=
(
S^1
V,...,
Sd
V,
1
V
)
.ThenXsatisfies the no-arbitrage condition too and
Qbelongs toMe(S)if and only if the measureQ′defined bydQ′=VTdQ
belongs toMe(X).
Proof.SinceK(X)=V^1 TK(S)wehavethatXsatisfies the no-arbitrage prop-
erty by directly verifying Definition 2.2.3. By Proposition 2.2.10 an equivalent
probability measureQis inMe(S) if and only if, for allf∈K(S), we have
EQ[f] = 0. But this is the same as
EQ
[
VT
f
VT
]
= 0, for allf∈K(S),
which is equivalent toEQ[VTg] = 0 for allg∈K(X). This happens if and
only if the probability measureQ′, defined asdQ′=VTdQ,isinMe(X).
(Note that by the martingale property we haveEQ[VT]=V 0 =1.)
Remark 2.5.5.The process (Vt)Tt=0is aQ-martingale for everyQ∈Me(S).
Now ifdQ′ =VTdQ, then we have the following so-called Bayes’ rule for
f∈L∞(Ω,F,P):
EQ′[f|Ft]=
EQ[fVT|Ft]
EQ[VT|Ft]
=
EQ[fVT|Ft]
Vt
=EQ
[
f
VT
Vt
∣
∣
∣
∣Ft
]
.
The previous equality can also be written as
VtEQ′[f|Ft]=EQ[fVT|Ft].
From this it follows that (Zt)Tt=0is aQ′-martingale if and only if (ZtVt)Tt=0is a
Q-martingale. This statement can also be seen as the martingale formulation
of Theorem 2.5.4 above.