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Short and Long Run Dependence in Swedish Stock Returns

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Listed:
  • Berg, Lennart
  • Lyhagen, Johan

Abstract

The behaviour of Swedish stock returns over short and long run horizons is analysed. Using monthly data from 1919 to 1995 and, weekly and daily data for the 1980s and first part of the 1990s we hardly found any evidence of long run depend-ence. Using three different tests that are robust to short term dependence and condi- tional hetroskedasticity we found that the modified R/S (rescaled range) test and ARFIMA-GARCH tests provide no support for long run memory in Swedish stock returns. Only the fractional differencing test, GPH, gave a significant result in two cases: for nominal monthly stock returns for the full and the first half of sample at rather high frequency for the spectral analysis.

Suggested Citation

  • Berg, Lennart & Lyhagen, Johan, 1996. "Short and Long Run Dependence in Swedish Stock Returns," Working Paper Series 1996:19, Uppsala University, Department of Economics.
  • Handle: RePEc:hhs:uunewp:1996_019
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    Cited by:

    1. Mynhardt, H. R. & Plastun, Alex & Makarenko, Inna, 2014. "Behavior of Financial Markets Efficiency During the Financial Market Crisis: 2007-2009," MPRA Paper 58942, University Library of Munich, Germany.
    2. Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun, 2017. "Long Memory and Data Frequency in Financial Markets," Discussion Papers of DIW Berlin 1647, DIW Berlin, German Institute for Economic Research.
    3. Lennart Berg, 2003. "Deterministic Seasonal Volatility in a Small and Integrated Stock Market: The Case of Sweden," Finnish Economic Papers, Finnish Economic Association, vol. 16(2), pages 61-71, Autumn.
    4. Graflund, Andreas, 2000. "A Bayesian Inference Approach to Testing Mean Reversion in the Swedish Stock Market," Working Papers 2000:8, Lund University, Department of Economics, revised 30 Jan 2002.
    5. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2016. "Long memory in the Ukrainian stock market and financial crises," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(2), pages 235-257, April.
    6. Kristoufek, Ladislav, 2009. "Distinguishing between short and long range dependence: Finite sample properties of rescaled range and modified rescaled range," MPRA Paper 16424, University Library of Munich, Germany.
    7. Andreas Graflund, 2000. "A Bayes Inference Approach to Testing Mean Reversion in the Swedish Stock Market," Econometric Society World Congress 2000 Contributed Papers 1363, Econometric Society.
    8. Xiao, Wei-Lin & Zhang, Wei-Guo & Zhang, Xi-Li & Wang, Ying-Luo, 2010. "Pricing currency options in a fractional Brownian motion with jumps," Economic Modelling, Elsevier, vol. 27(5), pages 935-942, September.
    9. Luis Gil-Alana & Pedro Mendi, 2005. "Fractional integration in total factor productivity: evidence from US data," Applied Economics, Taylor & Francis Journals, vol. 37(12), pages 1369-1383.
    10. Mansour Zarra-Nezhad & Ali Raoofi & Mohammad Hadi Akbarzdeh, 2016. "The Existence of Long Memory Property in OPEC Oil Prices," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 4(3), pages 142-152, September.

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