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1
2 y∂ xx f(z) + (r λ κ (ρ) y/ 2 )∂ x f(z) λy∂ y f(z)
S f )(z) :=
( A
f(x
f(z) ν Q ( d ζ),
+
+
ρζ,y
+
ζ)
R +
with ν Q ( d ζ)
λw(ζ )k(ζ ) d ζ . Note that there is no diffusion component in the sec-
ond coordinate direction yy f(z) .
=
S is the generator of the process Z = (X, Y ) in ( 15.8 )
under a structure preserving EMM. However, one can consider the pricing of options
under the minimal entropy martingale measure (MEMM). For ρ =
Remark 15.2.3 The operator
A
0, this is done
by Benth and Meyer-Brandis [17], see also [16]. In particular, they derive that
S
A
under the MEMM is given by
1
2 y∂ xx f(z) + (r y/ 2 )∂ x f(z) λy∂ y f(z)
S (t)f )(z) :=
( A
λ
f(x,y
f(z) H(t,y
ζ)
H(t,y)
+
+
+
ζ)
ν( d ζ), (15.14)
R +
where H
:[
0 ,T
]×R + → R
is solution of the PIDE
t H
λy∂ y H
r(y)H
+ λ
H(t,y + ζ) H(t,y) ν( d ζ) =
0in
[
0 ,T) × R + ,
R +
H(T,y) =
1in
R + .
1
2 (μy 1 / 2
βy 1 / 2 ) 2 , where μ, β
Herewith, r(y)
=
+
∈ R
.
15.3 Variational Formulation
We derive the variational formulation of the pricing PIDE ( 15.12 ) exemplarily for
the Bates model with n v =
1, λ 1 =
0 and the BNS model.
B
Consider the operator
A
in ( 15.13 ) and let n v =
1, λ 1 =
0. For this choice of
parameters, we can write
B f )(z)
H f )(z)
( A
(
A
=
(
A
+
f )(z),
is the generator of the Heston model (9.12) and the operator A
H
where
A
is given
by
λ 0
f(x
f(z) ν 0 ( d ζ).
( A
f )(z)
:= −
λ 0 κ∂ x f(z)
+
+
ζ,y)
R +
To prepare the variational formulation, we perform in the pricing equation ( 15.12 )
the variable transformation (9.13), i.e. we set
y 2 ) . The oper-
v(t,x,
y)
:=
v(t,x, 1 / 4
B changes accordingly to A
= A
+ A
B
H
ator
A
, where the transformed Heston oper-
ator A
H
is given in (9.15). Additionally, we consider the change of variables (9.17)
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