IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-13-00369.html
   My bibliography  Save this article

What results can we expect from rolling trace tests? A discussion based on the issue of stock market integration

Author

Listed:
  • Alexander Ludwig

    () (TU Dresden)

Abstract

This paper discusses pitfalls in the application of the rolling trace test. This procedure is based on the iterative calculation of Johansen's (1988) trace test for the rank of a cointegration system in windows of equal length that roll over the sample. Pitfalls lie in the selection of the window length and of the lag order for short-run coefficients as well as in the presence of stationary variables in some sub-periods. We give practical recommendations to solve these issues and demonstrate their implications when assessing the integration of four major European stock markets.

Suggested Citation

  • Alexander Ludwig, 2014. "What results can we expect from rolling trace tests? A discussion based on the issue of stock market integration," Economics Bulletin, AccessEcon, vol. 34(1), pages 16-24.
  • Handle: RePEc:ebl:ecbull:eb-13-00369
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2014/Volume34/EB-14-V34-I1-P2.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    2. Yu, Ip-Wing & Fung, Kang-Por & Tam, Chi-Sang, 2010. "Assessing financial market integration in Asia - Equity markets," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2874-2885, December.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    4. Swanson, Norman R., 1998. "Money and output viewed through a rolling window," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 455-474, May.
    5. Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-277, August.
    6. Mylonidis, Nikolaos & Kollias, Christos, 2010. "Dynamic European stock market convergence: Evidence from rolling cointegration analysis in the first euro-decade," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2056-2064, September.
    7. Rangvid, Jesper & Sørensen, Carsten, 2000. "Convergence in the ERM and declining numbers of common stochastic trends," Working Papers 2000-8, Copenhagen Business School, Department of Finance.
    8. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    9. Doornik, Jurgen A, 1998. " Approximations to the Asymptotic Distributions of Cointegration Tests," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 573-593, December.
    10. Garcia Pascual, Antonio, 2003. "Assessing European stock markets (co)integration," Economics Letters, Elsevier, vol. 78(2), pages 197-203, February.
    11. Brada, Josef C. & Kutan, Ali M. & Zhou, Su, 2005. "Real and monetary convergence between the European Union's core and recent member countries: A rolling cointegration approach," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 249-270, January.
    12. Peri, Massimo & Baldi, Lucia, 2013. "The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU," Resource and Energy Economics, Elsevier, vol. 35(1), pages 18-37.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    rolling cointegration; rolling trace test; rolling unit root test; lag selection; window selection; stock market integration;

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-13-00369. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (John P. Conley). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.