A quantitative approach to carbon price risk modeling - CiteSeerX
A quantitative approach to carbon price risk modeling - CiteSeerX
A quantitative approach to carbon price risk modeling - CiteSeerX
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Since the first term is a continuous linear functional of the type (44) (evaluated at<br />
ξ ), it suffices <strong>to</strong> discuss the lower semicontinuity of the remaining expression<br />
ξ ↦→ E((Γ − Π(ξ)) + ).<br />
Fix the point ξ and consider for ξ ′ ∈ L N ∞ the estimate<br />
thus<br />
(Γ − Π(ξ ′ )) + ≥ (Γ − Π(ξ ′ ))1 {Γ−Π(ξ)≥0}<br />
≥ (Γ − Π(ξ))1 {Γ−Π(ξ)≥0} − (Π(ξ ′ ) − Π(ξ))1 {Γ−Π(ξ)≥0}<br />
≥ (Γ − Π(ξ)) + − (Π(ξ ′ ) − Π(ξ))1 {Γ−Π(ξ)≥0} ,<br />
E((Γ − Π(ξ ′ )) + ) ≥ E((Γ − Π(ξ)) + ) − E((Π(ξ ′ ) − Π(ξ))1 {Γ−Π(ξ)≥0} )<br />
≥ E((Γ − Π(ξ)) + ) − |〈Ξ, ξ ′ − ξ〉| (45)<br />
where Ξ ∈ L N 1 is given by Ξ i t = E(1 {Γ−Π(ξ)≥0} |F t ) for all i = 1, . . . , N and<br />
t = 0, . . . , T − 1. Hence, given ε, define the neighborhood B ξ (Ξ, ε) of ξ as in (43)<br />
which ensures that |〈Ξ, ξ ′ − ξ〉| < ε for all ξ ∈ B ξ (Ξ, ε) and finally with (45) yields<br />
the lower semicontinuity<br />
E((Γ − Π(ξ ′ )) + ) ≥ E((Γ − Π(ξ)) + ) − ε for all ξ ′ ∈ B ξ (Ξ, ε).<br />
Let now (ξ(n)) n∈N ⊂ U be a sequence <strong>approach</strong>ing the infimum<br />
lim E(−G T (ξ(n))) = inf E(−G T (ξ)).<br />
n→∞ ξ∈U<br />
By the theorem of Banach–Alaoglu, it contains a subsequence (ξ(n k )) k∈N which<br />
converges <strong>to</strong> ξ ∗ in the weak <strong>to</strong>pology. Since U is convex and norm-closed in L N ∞ ,<br />
it is also weakly closed, hence ξ ∗ ∈ U . Moreover, the semicontinuity ensures that<br />
E(−G T (ξ ∗ )) = inf ξ∈U E(−G T (ξ)).<br />
4.2 Parameters of fuel switch <strong>price</strong> process<br />
The present estimation is based on a series of n = 758 daily observations<br />
(E(t∆)(ω)) n t=1<br />
(where ∆ = 1/253 corresponds <strong>to</strong> one day), which are shown in the Figure 3. The<br />
deterministic harmonics (20) in the fuel switch <strong>price</strong> process are identified with<br />
parameters (23) obtained from peaks in the Fourier transform. After removing the<br />
deterministic part (P (t · ∆)(ω)) n t=1 (red line in this figure) the residual component<br />
X(t∆)(ω) = E(t∆)(ω) − P (t∆)(ω), t = 1, . . . , n (46)<br />
22