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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 147<br />

Table 4.12 – 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)-(4.15).<br />

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

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

α = 1% 20.5 11.0 2.7 0.8<br />

II 500 α = 5% 40.9 26.0 6.6 3.1<br />

α = 10% 54.5 35.9 10.4 7.4<br />

α = 1% 21.3 13.7 2.4 1.4<br />

II 1,000 α = 5% 40.1 26.4 6.8 4.5<br />

α = 10% 52.9 37.1 11.5 8.1<br />

α = 1% 23.6 15.9 2.5 1.4<br />

II 2,000 α = 5% 42.6 29.9 7.4 5.4<br />

α = 10% 53.8 38.6 11.9 9.6<br />

II : Weak V<strong>ARMA</strong>(1,1) model (4.13)-(4.15) with θ0 = (0,0,0)<br />

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

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

α = 1% 9.2 4.8 0.8 0.2<br />

II 500 α = 5% 22.3 11.7 2.4 1.3<br />

α = 10% 32.2 17.0 5.7 3.0<br />

α = 1% 12.5 12.1 0.8 1.2<br />

II 1,000 α = 5% 24.7 22.6 4.2 4.7<br />

α = 10% 33.4 31.1 8.4 8.4<br />

α = 1% 13.7 13.1 0.9 0.9<br />

II 2,000 α = 5% 28.9 26.5 3.2 4.0<br />

α = 10% 39.2 36.6 7.4 8.5<br />

II : Weak V<strong>ARMA</strong>(1,1) model (4.13)-(4.15) with θ0 = (0,0,0)<br />

Jeantheau, T. (1998) Strong consistency of estimators for multivariate ARCH models,<br />

Econom<strong>et</strong>ric Theory 14, 70–86.<br />

Li, W. K. and McLeod, A. I. (1981) Distribution of the residual autocorrelations<br />

in multivariate <strong>ARMA</strong> time series models, Journal of the Royal Statistical Soci<strong>et</strong>y<br />

B 43, 231–239.<br />

Lütkepohl, H. (1993) Introduction to multiple time series analysis. Springer Verlag,<br />

Berlin.<br />

Lütkepohl, H. (2005) New introduction to multiple time series analysis. Springer<br />

Verlag, Berlin.<br />

Magnus, J.R. and H. Neudecker (1988) Matrix Differential Calculus with Application<br />

in Statistics and Econom<strong>et</strong>rics. New-York, Wiley.

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