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Processus de Lévy en Finance - Laboratoire de Probabilités et ...

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162 CHAPTER 4. DEPENDENCE OF LEVY PROCESSES<br />

Suppose now that S is not an or<strong>de</strong>red s<strong>et</strong>.<br />

Th<strong>en</strong> there exist two points u, v ∈ S such<br />

that u m > v m and u n < v n for some m and n. Moreover, either u i ≥ 0 and v i ≥ 0 for all<br />

i or u i ≤ 0 and v i ≤ 0 for all i. Suppose that u i ≥ 0 and v i ≥ 0, the other case being<br />

analogous. L<strong>et</strong> x = u+v<br />

2 . Since u, v ∈ S, we have ν({z ∈ Rd : z m < x m , z n ≥ x n }) > 0 and<br />

ν({z ∈ R d : z m ≥ x m , z n < x n }) > 0. However<br />

ν({z ∈ R d : z m < x m , z n ≥ x n }) = U n (x n ) − U {m,n} (x m , x n )<br />

= U n (x n ) − min(U m (x m ), U n (x n ))<br />

and<br />

ν({z ∈ R d : z m ≥ x m , z n < x n }) = U m (x m ) − min(U m (x m ), U n (x n )),<br />

which is a contradiction because these expressions cannot be simultaneously positive.<br />

For the last assertion, we assume that the tail integrals U i of X i are continuous and satisfy<br />

lim x→0 U i (x) = ∞, i = 1, . . . , d. It suffices to show that ν(S n ) = 0 for any n in <strong>de</strong>composition<br />

(4.28). If ξ(n) ≠ 0, th<strong>en</strong><br />

ν(S n ) = lim<br />

ε↓0<br />

(U k(n) (ξ(n) − ε) − U k(n) (ξ(n))) = 0,<br />

because U k(n) is continuous. Suppose now that ξ(n) = 0. Since S n does not reduce to a single<br />

point, we must have either x m > 0 or x m < 0 for some x ∈ S n and some m. Suppose that<br />

x m > 0, the other case being analogous. Since S is or<strong>de</strong>red, we have<br />

ν({x ∈ R d : x k(n) ≥ ε} ∩ S) ≤ ν({ξ ∈ R d : ξ m ≥ x m } ∩ S) < ∞<br />

uniformly in ε > 0. This implies lim x↓0 U k(n) (x) < ∞ in contradiction to lim x→0 U k(n) (x) = ∞.<br />

H<strong>en</strong>ce, ξ(n) > 0 for any n. Therefore, ν(R d \ S ∗ ) = 0 and the proof is compl<strong>et</strong>ed.<br />

A characterization of compl<strong>et</strong>e <strong>de</strong>p<strong>en</strong><strong>de</strong>nce of spectrally positive Lévy processes can be<br />

obtained as a corollary of Theorem 4.11.<br />

Corollary 4.2. L<strong>et</strong> X be a R d -valued spectrally positive Lévy process whose Lévy measure is<br />

supported by an or<strong>de</strong>red s<strong>et</strong> S ⊂ R d +. Th<strong>en</strong><br />

F ‖ (x 1 , . . . , x d )| [0,∞] d ≡ min(x 1 , . . . , x d )<br />

is a Lévy copula of X.

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