31.05.2014 Views

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

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

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

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

5.1. PARAMETRIC FAMILIES 171<br />

2.5<br />

2.5<br />

2<br />

2<br />

1.5<br />

1.5<br />

1<br />

1<br />

0.5<br />

0.5<br />

0<br />

0<br />

−0.5<br />

−0.5<br />

−1<br />

−1<br />

−1.5<br />

−1.5<br />

−2<br />

−2<br />

−2.5<br />

−2.5 −2 −1.5 −1 −0.5 0 0.5 1 1.5 2 2.5<br />

2.5<br />

−2.5<br />

−2.5 −2 −1.5 −1 −0.5 0 0.5 1 1.5 2 2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

−0.5<br />

−1<br />

−1.5<br />

−2<br />

−2.5<br />

−2.5 −2 −1.5 −1 −0.5 0 0.5 1 1.5 2 2.5<br />

Figure 5.1: Contour plots of Lévy <strong>de</strong>nsity with 1-stable margins and Lévy copula (5.4) with<br />

θ = 5 and differ<strong>en</strong>t values of η. Top left: η = 0. Top right: η = 1. Bottom: η = 0.5. On each<br />

curve the Lévy <strong>de</strong>nsity ν(x, y) is constant and it increases from outer curves to inner curves.<br />

<strong>de</strong>fines a two-param<strong>et</strong>er family of Lévy copulas (F is in fact a Lévy copula for all θ > 0 and<br />

η ∈ [0, 1]). The role of param<strong>et</strong>ers is most easy to analyze in the case d = 2, wh<strong>en</strong> (5.3) becomes<br />

F (u, v) = (|u| −θ + |v| −θ ) −1/θ (η1 uv≥0 − (1 − η)1 uv

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!