Abstract
Abstract Most of the many diagnostic tests for serial correlation (SC) and dynamic conditional heteroskedasticity (DCH) of regression disturbances have good asymptotic local power against finite autoregressive (AR) or moving average (MA) alternatives. In testing for SC, statistics typically depend on finitely many, p, least squares (LS) residual sample autocorrelations.
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