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statistique, théorie et gestion de portefeuille - Docs at ISFA

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9.1. Les différentes mesures <strong>de</strong> dépendances extrêmes 285<br />

ρ + v=∞ ρ s v=∞ ρu=∞ λ ¯ λ<br />

Bivari<strong>at</strong>e Gaussian 0 1 0 0 ρ<br />

Bivari<strong>at</strong>e Stu<strong>de</strong>nt’s see Table 3 see Table 3 - 2 · ¯ Tν+1<br />

√ν + 1<br />

1−ρ<br />

1+ρ<br />

Gaussian Factor Mo<strong>de</strong>l 0 1 0 0 ρ<br />

Stu<strong>de</strong>nt’s Factor Mo<strong>de</strong>l 1 1 -<br />

ρ ν<br />

ρ ν +(1−ρ 2 ) ν/2<br />

Table 4: Asymptotic values of ρ + v , ρs v and ρu for v → +∞ and u → ∞ and comparison with the tail<strong>de</strong>pen<strong>de</strong>nce<br />

λ and ¯ λ for the four mo<strong>de</strong>ls indic<strong>at</strong>ed in the first column. The factor mo<strong>de</strong>l is <strong>de</strong>fined by (8),<br />

i.e., X = αY + ɛ. ρ is the unconditional correl<strong>at</strong>ion coefficient. For the Stu<strong>de</strong>nt’s factor mo<strong>de</strong>l, Y and ɛ<br />

have centered Stu<strong>de</strong>nt’s distributions with the same number ν of <strong>de</strong>grees of freedom and their scale factors<br />

are respectively equal to 1 and σ, so th<strong>at</strong> ρ = (1 + σ2<br />

α2 ) −1/2 . For the Bivari<strong>at</strong>e Stu<strong>de</strong>nt’s distribution, we<br />

refer to Table 1 for the constant values of ρ + v=∞ and ρs v=∞.<br />

47<br />

<br />

1<br />

1

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