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Commonly used tests to assess evidence for the absence of autocorrelation in a univariate time series or serial cross-correlation … heteroskedasticity in the series. Related extensions are provided for testing cross-correlation at various lags in bivariate time series … spurious evidence of serial correlation. …
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A new test is proposed for the null of absence of serial correlation. The test uses a data-driven smoothing parameter … achieve rate-optimality against several classes of alternatives. The test can detect alternatives with many small correlation … monthly financial square returns illustrate the usefulness of the proposed approach. -- Absence of serial correlation ; Data …
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it is easy to implement and does not require cross-validation. The MT estimator of the sample correlation matrix is shown …
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High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...
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