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14.7.2 Basket Options
Consider a basket option u(t, x) with payoff g(x) where the log price processes
of the underlyings are given by the pure jump process X
(X 1 ,...,X d ) and
correspondingly u 1 (t, x) , u 2 (t, x) for the processes Y 1 , Y 2 . We want to study the
error
=
u i (T , x)
1 , 2. Since we adjusted the drift to preserve
the martingale property, we additionally introduce the processes
Z i,t =
|
u(T , x)
|
for ε
0, i
=
i
X t +
γ)t,
i
=
1 , 2 ,
whichhavethesamedriftas Y i
and the same Lévy measure as X .
Proposition 14.7.3 Assume g is Lipschitz continuous . Then , there are C 1 ,C 2 > 0
such that
ε
d
E
Z 1 ,T ))
z j
2 ν j ( d z j ),
d ,
(g(x
+
X T ))
− E
(g(x
+
C 1
x
∈ R
ε
j =
1
(14.35)
ε
d
E
Z 2 ,T ))
z j
3 ν j ( d z j ),
d .
(g(x
+
X T ))
− E
(g(x
+
C 2
x
∈ R
ε
j =
1
(14.36)
Proof We have for i
=
1 , 2,
Z i,T )) ≤ E g(x
γ)T)
E
i
(g(x
+
X T ))
− E
(g(x
+
+
X T )
g(x
+
X T +
γ j
d
γ i,j
T
.
j =
1
Furthermore,
z j ν ε ( d z)
ε
|
γ j =
|
e z j
z j
e s z j
s d j ( d z)
γ 1 ,j
1
d
R
ε
0
ε
e ε
2
z j
2 ν j ( d z),
j
=
1 ,...,d,
ε
z j ν ε ( d z)
γ j =
Q ε,jj
2
d e z j
γ 2 ,j
1
R
ε
|
|
z j
1
2
e s (z j
s) 2 d j ( d z)
ε
0
ε
z j
e ε
6
3 ν j ( d z),
j
=
1 ,...,d.
ε
The same error estimates are also obtained for the compound Poisson and Gaus-
sian approximation.
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