A multivariate test against spurious long memory

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Authors

  • Philipp Sibbertsen
  • Christian Leschinski
  • Marie Busch

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Details

Original languageEnglish
Pages (from-to)33-49
Number of pages17
JournalJournal of Econometrics
Volume203
Issue number1
Early online date21 Dec 2017
Publication statusPublished - Mar 2018

Abstract

This paper provides a multivariate score-type test against spurious long memory. We prove the consistency of the test against the alternatives of random level shifts and smooth trends. The test statistic is based on the weighted sum of the partial derivatives of the multivariate local Whittle likelihood function. To apply the test to fractionally cointegrated series, the test statistic is calculated for the linearly transformed system after estimating the cointegrating matrix. We derive the limiting distribution and show consistency of this procedure. The test is applied to log-absolute returns and log-realized volatilities of the S&P 500, DAX, FTSE, and NIKKEI.

Keywords

    Fractional cointegration, Multivariate long memory, Semiparametric estimation, Spurious long memory, Volatility

ASJC Scopus subject areas

Cite this

A multivariate test against spurious long memory. / Sibbertsen, Philipp; Leschinski, Christian; Busch, Marie.
In: Journal of Econometrics, Vol. 203, No. 1, 03.2018, p. 33-49.

Research output: Contribution to journalArticleResearchpeer review

Sibbertsen, P, Leschinski, C & Busch, M 2018, 'A multivariate test against spurious long memory', Journal of Econometrics, vol. 203, no. 1, pp. 33-49. https://doi.org/10.1016/j.jeconom.2017.07.005
Sibbertsen P, Leschinski C, Busch M. A multivariate test against spurious long memory. Journal of Econometrics. 2018 Mar;203(1):33-49. Epub 2017 Dec 21. doi: 10.1016/j.jeconom.2017.07.005
Sibbertsen, Philipp ; Leschinski, Christian ; Busch, Marie. / A multivariate test against spurious long memory. In: Journal of Econometrics. 2018 ; Vol. 203, No. 1. pp. 33-49.
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