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Diagnostic checking ARMA time series models using squared-residual autocorrelations. (English) Zbl 0536.62067

Summary: Squared-residual autocorrelations have been found useful in detecting non-linear types of statistical dependence in the residuals of fitted autoregressive-moving average (ARMA) models [cf. C. W. J. Granger and A. P. Andersen, An introduction to bilinear time series models. (1978; Zbl 0379.62074)]. In this note it is shown that the normalized squared-residual autocorrelations are asymptotically unit multivariate normal. The results of a simulation experiment confirming the small- sample validity of the proposed tests is reported.

MSC:

62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH)

Citations:

Zbl 0379.62074
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References:

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