A frequency-domain based test for independence between stationary time series

M. Eichler*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


A one-sided asymptotically normal test for non-correlation between two stationary time series is proposed based on the spectral coherence function. The test statistic is a properly standardized version of the integrated spectral coherency and has similar asymptotic properties as a previously introduced time domain based test for non-correlation. Unlike its time domain counterpart, the proposed test does not require prewhitening of the time series and, thus, is a truly nonparametric test for non-correlation. In a simulation study, we evaluate the small sample performance of the proposed test in comparison with the time domain test and address the problem of bandwidth selection. Furthermore, we present a modification of the test statistic that allows to test for non-correlation over frequency bands. This version shows higher power of detecting interrelationships restricted to the frequency band of interest.
Original languageEnglish
Pages (from-to)133-157
Number of pages25
Publication statusPublished - 1 Jan 2007

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