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=
Example 15.4.9 We approximate the price of a European call with strike K
1 and
maturity T
1 / 2 within the Bates model (see ( 15.13 ) for its infinitesimal genera-
tor). For the one-factor model ( n v =
=
1), we choose the model parameters
(α,β,λ 0 1 ,ρ,m,μ,δ,r)
=
( 2 . 5 , 0 . 5 , 0 . 5 , 0 ,
0 . 5 , 0 . 025 , 0 , 0 . 2 , 0 ),
and for the two-factor model ( n v =
2) we let
1 2 1 2 0 1 2 1 2 ,m 1 ,m 2 ,μ,δ,r)
=
0 . 08 , 0 . 1 , 0 ).
To obtain rates of convergence on the sparse tensor product space V L ,wetake L
( 1 . 6 , 0 . 9 , 0 . 5 , 0 . 2 , 0 . 1 , 5 , 0 . 3 ,
0 . 1 ,
0 . 3 , 0 . 039 , 0 . 011 ,
=
4 ,..., 9. Furthermore, in the hp -dG time stepping, we take the partition
M M,γ of
( 0 ,T) with M
0 . 4 in the polynomial degree
vector (see Definition 12.3.1). We measure both the error e
=
L , γ
=
0 . 3 and let the slope μ
=
U dG (T ) in
:=
u(T )
the L 2 - and L -norm on the domain G 0 = (
0 . 25 , 0 . 75 ) × ( 0 . 01 , 1 . 21 ) for the
one-factor model and on G 0 =
( 0 . 25 , 0 . 64 ) for the
two-factor model. To illustrate once more the superiority of V L , we also approximate
the option value for the two-factor model using the full tensor product space
(
0 . 25 , 0 . 75 )
×
( 0 . 25 , 0 . 64 )
×
V L with
L
=
3 ,..., 6. We find for the one-factor model
e L 2 (G 0 ) = O N 2
( log 2 N L ) 2 . 75 ,
e L (G 0 ) = O N 2
( log 2 N L ) 3 . 9 ,
L
L
whereas for the two-factor model we have
L (G 0 ) = O N L ( log 2 N L ) 5 . 7 .
The experimental L 2 -rates are in very good agreement with the approximation prop-
erty of the projector P L , compare with Theorem 13.1.2 and Remark 15.4.8 , while
therateinthe L -norm is slightly smaller. Note that the curse of dimension is
clearly visible in the rate
L 2 (G 0 ) = O N 2
( log 2 N L ) 5 . 1 ,
e
e
L
e L 2 (G 0 ) = e L (G 0 ) = O (N 2 / 3
) of the full tensor
L
product space, compare with Fig. 15.2 .
Example 15.4.10 We consider the BNS model and its corresponding (transformed)
pricing equation ( 15.18 ). We compute the price and its sensitivity with respect to
ρ of a European call with strike K
0 . 5. We choose for
the background driving subordinator L λt an IG( a,b )-OU process, for which (with
w =
=
1 and maturity T
=
1
2 b 2 z ,
a
κ (ρ) = aρ(b 2
2 ρ) 1 / 2 , k(z) =
2 2 π z 3 / 2 ( 1
+ b 2 z)e
1) there holds
see, e.g. [128] and ( 15.9 ) for the definition of
κ (ρ) . We take the parameters
(ρ,λ,a,b) = ( 0 , 2 . 5 , 0 . 09 , 12 ) . Rates of convergence (for the error measured in the
L 2 -norm) are calculated on the domain G 0 =
×
(
2 , 0 . 5 )
( 0 . 22 , 1 . 1 ) using sparse
tensor product spaces V L , L
10 4 in the back-
ward Euler time stepping. A closed form solution using the characteristic function
of the log-price process can be found in [9]. The resulting rates of convergence are
showninFig. 15.3 . We observe that for both subordinators the price and sensitivity
converge with same rate, which is
=
5 ,..., 9, and time step t
=
5
·
e L 2 (G 0 ) = O (N 2
( log 2 N L ) 7 . 5 ) .
L
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