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Estimating autocorrelations in the presence of deterministic trends

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Author Info
Wang, Shin-Huei (UniversitŽ catholique de Louvain (UCL). Center for Operations Research and Econometrics (CORE))
Hafner, Christian (UniversitŽ catholique de Louvain (UCL). Center for Operations Research and Econometrics (CORE), ---)

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Abstract

This paper considers the impact of ordinary least squares (OLS) detrending and the first difference (FD) detrending on autocorrelation estimation in the presence of long memory and deterministic trends. We show that the FD detrending results in inconsistent autocorrelation estimates when the error term is stationary. Thus, the FD detrending should not be employed for autocorrelation estimation of the detrended series when constructing e.g. portmanteau-type tests. In an empirical application of volume in Dow Jones stocks, we show that for some stocks, OLS and FD detrending result in substantial differences in ACF estimates.

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Publisher Info
Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2008073.

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Date of creation: 01 Dec 2008
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Handle: RePEc:cor:louvco:2008073

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Related research
Keywords: autocorrelations; OLS; first difference detrending; long memory.;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

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