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Nonlinearities in Stock Returns for Some Recent Entrants to the EU

Author

Listed:
  • Barry Harrison
  • Winston Moore

Abstract

In this paper we use nonlinear tests to investigate the mean reverting properties of stock returns in a group of CEE markets. We also test whether returns in our target group of countries demonstrate characteristics of persistence and cross sectional dependence. Our results indicate that all series’ are stationary, but we find some ambiguity in the results of our tests for cross sectional dependence.

Suggested Citation

  • Barry Harrison & Winston Moore, 2010. "Nonlinearities in Stock Returns for Some Recent Entrants to the EU," Working Papers 2010/1, Nottingham Trent University, Nottingham Business School, Economics Division.
  • Handle: RePEc:nbs:wpaper:2010/1
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    File URL: http://www.ntu.ac.uk/research/document_uploads/96195.pdf
    File Function: First version, 2010
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    References listed on IDEAS

    as
    1. Mario Cerrato & Christian De Peretti & Nick Sarantis, 2007. "A nonlinear panel unit root test under cross section dependence," Documents de recherche 07-12, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    2. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    3. Rockinger, Michael & Urga, Giovanni, 2001. "A Time-Varying Parameter Model to Test for Predictability and Integration in the Stock Markets of Transition Economies," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 73-84, January.
    4. Barry Harrison & Winston Moore, 2009. "Spillover effects from London and Frankfurt to Central and Eastern European stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(18), pages 1509-1521.
    5. Bradley, Michael D. & Jansen, Dennis W., 2004. "Forecasting with a nonlinear dynamic model of stock returns and industrial production," International Journal of Forecasting, Elsevier, vol. 20(2), pages 321-342.
    6. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    7. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    8. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Barry Harrison & Winston Moore, 2012. "Stock Market Efficiency, Non-Linearity, Thin Trading and Asymmetric Information in MENA Stock Markets," Economic Issues Journal Articles, Economic Issues, vol. 17(1), pages 77-93, March.

    More about this item

    Keywords

    nonlinearities; stock markets; Central and Eastern European Countries;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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