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Stationary Component in Stock Prices: A Reappraisal of Empirical Findings

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  • Haitham A. Al-Zoubi

    (United Arab Emirates University, UAE)

  • Aktham Maghyereh

    (United Arab Emirates University, UAE)

Abstract

This paper re-examines the issue of mean reversion in stock prices by incorporating the structural break effect in the long horizon regression. Before adjusting for structural break, the paper finds that previous studies understate the evidence of mean-reversion. The understatement is mainly due to the clustering heteroskedasticity and autocorrelation in the overlapping returns. After adjusting for structural break(s), no evidence of predictability for value-weighted returns has been documented. However, stronger evidence of mean reversion in stock prices is documented for equally-weighted portfolios. The reverse effect of structural break can be explained by the switch to mean aversion in the last subperiod of value-weighted portfolios while no such switch in equally weighted portfolios.

Suggested Citation

  • Haitham A. Al-Zoubi & Aktham Maghyereh, 2007. "Stationary Component in Stock Prices: A Reappraisal of Empirical Findings," Multinational Finance Journal, Multinational Finance Journal, vol. 11(3-4), pages 287-322, September.
    • Handle: RePEc:mfj:journl:v:11:y:2007:i:3-4:p:287-322
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    References listed on IDEAS

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    2. Rita Yi Man Li & Herru Ching Yu Li, 2018. "Have Housing Prices Gone with the Smelly Wind? Big Data Analysis on Landfill in Hong Kong," Sustainability, MDPI, vol. 10(2), pages 1-19, January.

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    More about this item

    Keywords

    moving blocks bootstrap; mean reversion; structural change long-horizon regressions;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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