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Assuming homogeneous Dirichlet boundary conditions on ∂G R , discretizing in time
with θ -scheme and denoting again by N
:= k = 1 N k =| G |
the number of points in
the grid
, we obtain the fully discrete finite difference scheme for the truncated
pricing equation ( 9.30 )
G
Find w m + 1
N
∈ R
such that for m
=
0 ,...,M
1
θt G SV ) w m + 1
θ)t G SV ) w m ,
( I
+
=
( I
( 1
w 0
=
w 0 .
Example 9.5.3 Consider the multi-scale SV model with n v =
1 factor as described
0. By ( 9.16 ), the coefficients are q 11 (x 1 )
1 ,q 11 (x 2 )
in Example 9.1.1 with ρ
=
=
=
ξ 2 (x 2 ) , q 22 (x 1 )
1, q 22 (x 2 )
β 2 , μ 1 (x 1 )
1 1 (x 2 )
1
2 ξ 2 (x 2 ) , μ 2 (x 1 )
=
=
=
=
r
=
1,
μ 2 (x 2 )
=
α(m
x 2 ) and c 1 (x 1 )
=
1, c 2 (x 2 )
=−
r . The remaining coefficients are
zero. Hence, the finite difference matrix becomes
1
2 R 1
1
2 I 1
I ξ 2 (x 2 )
R β 2
G MS
=
+
2 ξ 2 (x 2 )
C 1
I r
I 1
C α(m x 2 )
I 1
I r .
1 , 2, one has X γ 1 w 1 + γ 2 w 2
Since for any constants γ i and any weights w i , i =
=
γ 1 X w 1
γ 2 X w 2 , and since the Kronecker product is distributive, we simplify the
above expression to
+
1
2 R 1
I ξ 2 (x 2 )
G MS
C 1
I 1
=
Y 2 +
Y 1 ,
where
1
2 β 2 R 1
1
2 I ξ 2 (x 2 ) .
We now approximate the value of a call option in the model of Stein-Stein, i.e.
ξ(x 2 )
αm C 1
α C x 2
I 1 ,
r I 1
Y 1 :=
+
+
Y 2 :=
=|
x 2 |
, whose exact price can be found in [145]. To t h is end, we set K
=
100,
1 / 2, ρ
T
0
for the model parameters. The computed option price is plotted in Fig. 9.1 .Wealso
give the rate of convergence
=
1 / 2 for the contract parameters and α
=
1, β
=
=
0, m
=
0 . 2, r
=
(N 1 ) of the L -error with respect to the number of
O
grid points N
=| G |
. The error is measured on the domain (K/ 2 , 3 / 2 K)
×
( 0 , 1 ) .
9.5.2 Finite Element Discretization
As for the finite difference discretization, we have to introduce weighted matrices.
For w
, define the matrices S w(x k ) , B w(x k ) , M w(x k )
N k × N k
: R → R
∈ R
with entries
given by
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