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statistique, théorie et gestion de portefeuille - Docs at ISFA

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110 3. Distributions exponentielles étirées contre distributions régulièrement variables<br />

(a) In<strong>de</strong>pen<strong>de</strong>nt d<strong>at</strong>a<br />

Str<strong>et</strong>ched-Exponential c=0.7 Str<strong>et</strong>ched-Exponential c=0.3 Par<strong>et</strong>o Distribution b=3<br />

quantile 0.005 0.01 0.05 0.1 quantile 0.005 0.01 0.05 0.1 quantile 0.005 0.01 0.05 0.1<br />

N/k=4 N/k=4 N/k=4<br />

mean 0.0791 0.0689 0.1172 0.1432 mean 0.3843 0.4340 0.6301 0.7768 mean 0.3460 0.3496 0.3359 0.3334<br />

emp. Std 0.5156 0.3614 0.1652 0.1154 emp. Std 0.5643 0.3925 0.1800 0.1340 emp. Std 0.5384 0.3631 0.1760 0.1175<br />

th. Std 0.5148 0.3635 0.1636 0.1161 th. Std 0.5393 0.3847 0.1786 0.1302 th. Std 0.5358 0.3791 0.1691 0.1195<br />

N/k=10 N/k=10 N/k=10<br />

mean 0.0726 0.0652 0.0880 0.1083 mean 0.3613 0.3819 0.5028 0.5950 mean 0.3134 0.3379 0.3213 0.3382<br />

emp. Std 0.8218 0.5925 0.2602 0.1839 emp. Std 0.8961 0.6141 0.2741 0.1963 emp. Std 0.9003 0.6056 0.2551 0.1933<br />

th. Std 0.8133 0.5745 0.2577 0.1827 th. Std 0.8493 0.6027 0.2755 0.1983 th. Std 0.8425 0.5982 0.2668 0.1892<br />

(b) Depen<strong>de</strong>nt d<strong>at</strong>a<br />

Str<strong>et</strong>ched-Exponential c=0.7 with long memory Str<strong>et</strong>ched-Exponential c=0.3 with long memory Par<strong>et</strong>o b=3 with long memory<br />

quantile 0.005 0.01 0.05 0.1 quantile 0.005 0.01 0.05 0.1 quantile 0.005 0.01 0.05 0.1<br />

N/k=4 N/k=4 N/k=4<br />

mean -0.0439 -0.0736 -0.2134 -0.3395 mean 0.1297 0.1215 0.0410 0.0235 mean 0.1458 0.1261 -0.0023 -0.0790<br />

emp. Std 0.5396 0.3599 0.1643 0.1128 emp. Std 0.5557 0.3756 0.1633 0.1130 emp. Std 0.5572 0.3765 0.1633 0.1125<br />

th. Std 0.5073 0.3576 0.1579 0.1108 th. Std 0.5183 0.3661 0.1620 0.1143 th. Std 0.5194 0.3663 0.1612 0.1130<br />

46<br />

N/k=10 N/k=10 N/k=10<br />

mean -0.0371 -0.0307 -0.0928 -0.1781 mean 0.0961 0.1275 0.0682 0.0521 mean 0.1239 0.1461 0.0584 0.0196<br />

emp. Std 0.8325 0.5754 0.2561 0.1821 emp. Std 0.8314 0.5796 0.2607 0.1801 emp. Std 0.8352 0.5811 0.2608 0.1801<br />

th. Std 0.8028 0.5680 0.2524 0.1771 th. Std 0.8158 0.5793 0.2570 0.1814 th. Std 0.8188 0.5808 0.2567 0.1807<br />

Table 3: Pickands estim<strong>at</strong>es (9) of the param<strong>et</strong>er ξ for the Generalized Par<strong>et</strong>o Distribution (7) for thresholds u corresponding to quantiles 90%,95%,99%<br />

ans 99.5% and two different values of the r<strong>at</strong>io N/k respectively equal to 4 and 10. In panel (a), we have used iid samples of size 10000 drawn from a<br />

Str<strong>et</strong>ched-Exponential distribution with c = 0.7 and c = 0.3 and a Par<strong>et</strong>o distribution with tail in<strong>de</strong>x b = 3, while in panel (b) the samples are drawn from<br />

a long memory process with Str<strong>et</strong>ched-Exponential marginals and regularly-varying marginal.

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