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Do Spanish Stock Market Prices Follow a Random Walk?

Author

Listed:
  • Javier De Peña
  • Luis A. Gil-Alana

    (School of Economics and Business Administration, University of Navarra)

Abstract
In this article we test the random walk hypothesis in the Spanish daily stock market prices by means of using fractionally integrated techniques. We use a version of the tests of Robinson (1994) that permit us to test I(d) statistical models. The results show that though fractional degrees of integration are plausible in some cases, the confidence intervals are generally narrow, including the unit root in all cases. Therefore, there is very little evidence of fractional integration, despite the length of the series, implying that the standard practice of taking first differences when modelling stock prices is adequate. In addition, the tests cannot reject that the underlying I(0) disturbances are white noise, supporting thus the (weakly) efficient market hypothesis in the Spanish stock market.

Suggested Citation

  • Javier De Peña & Luis A. Gil-Alana, 2002. "Do Spanish Stock Market Prices Follow a Random Walk?," Faculty Working Papers 01/02, School of Economics and Business Administration, University of Navarra.
    • Handle: RePEc:una:unccee:wp0102
    as

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    File URL: http://www.unav.edu/documents/10174/6546776/1132240741_wp0202.pdf
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    References listed on IDEAS

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    Cited by:

    1. Edwards, Sebastian & Biscarri, Javier Gomez & Perez de Gracia, Fernando, 2003. "Stock market cycles, financial liberalization and volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 925-955, December.

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    More about this item

    Keywords

    Stock market; Unit roots; Long memory; Market efficiency;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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