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THÈSE Estimation, validation et identification des modèles ARMA ...

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Chapitre 4. Multivariate portmanteau test for weak structural V<strong>ARMA</strong> models 148<br />

Table 4.13 – Empirical size (in %) of the standard and modified versions of the LB test in<br />

the case of the weak V<strong>ARMA</strong>(1,1) model (4.13)-(4.16).<br />

Model Length n Level Standard Test Modified Test<br />

m = 1 m = 2 m = 1 m = 2<br />

α = 1% 53.0 46.9 0.1 1.0<br />

III 5,00 α = 5% 71.8 62.9 2.4 4.0<br />

α = 10% 79.6 70.7 6.5 7.4<br />

α = 1% 54.3 47.4 0.1 1.0<br />

III 1,000 α = 5% 72.3 64.7 2.4 3.3<br />

α = 10% 80.4 72.5 6.5 6.9<br />

α = 1% 53.7 48.3 1.0 0.3<br />

III 2,000 α = 5% 72.2 64.8 4.1 3.2<br />

α = 10% 79.5 73.0 10.3 7.6<br />

III : Weak V<strong>ARMA</strong>(1,1) model (4.13)-(4.16) with θ0 = (0.225,−0.313,0.750)<br />

Model Length n Level Standard Test Modified Test<br />

m = 3 m = 4 m = 3 m = 4<br />

α = 1% 36.5 31.4 0.5 0.5<br />

III 500 α = 5% 54.7 48.4 2.6 2.6<br />

α = 10% 63.9 57.4 5.6 5.4<br />

α = 1% 38.8 34.8 0.4 0.3<br />

III 1,000 α = 5% 54.2 50.7 2.7 1.4<br />

α = 10% 64.3 59.5 5.7 3.4<br />

α = 1% 40.0 35.1 0.1 0.1<br />

III 2,000 α = 5% 58.5 51.0 2.4 1.7<br />

α = 10% 66.5 60.9 6.5 5.2<br />

III : Weak V<strong>ARMA</strong>(1,1) model (4.13)-(4.16) with θ0 = (0.225,−0.313,0.750)<br />

McLeod, A. I. (1978) On the distribution of residual autocorrelations in Box-Jenkins<br />

models, Journal of the Royal Statistical Soci<strong>et</strong>y B 40, 296–302.<br />

Newey, W.K., and West, K.D. (1987) A simple, positive semi-definite, h<strong>et</strong>eroskedasticity<br />

and autocorrelation consistent covariance matrix. Econom<strong>et</strong>rica 55,<br />

703–708.<br />

Reinsel, G. C. (1997) Elements of multivariate time series Analysis. Second edition.<br />

Springer Verlag, New York.<br />

Romano, J. L. and Thombs, L. A. (1996) Inference for autocorrelations under<br />

weak assumptions, Journal of the American Statistical Association 91, 590–600.

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