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Testing for the Random Walk Hypothesis and Structural Breaks in International Stock Prices

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Abstract

This paper examines whether stock prices for 16 countries are trend stationary or follow a random walk process using the (Zivot and Andrews, 1992) and (Lumsdaine and Papell, 1997) tests and monthly data (1987:12-2005:12). With one structural break, the ZA test results provide evidence in favour of random walk hypothesis in 14 countries. However, when two endogenously-determined structural breaks are considered, this hypothesis was rejected for only five countries, suggesting a robust conclusion regarding the non-stationarity of stock prices world wide. In addition, the dates of structural break in most cases point to the Asian crisis in the period 1996-1998.

Suggested Citation

  • Chancharat,Surachai & Valadkhani, Abbas, 2007. "Testing for the Random Walk Hypothesis and Structural Breaks in International Stock Prices," Economics Working Papers wp07-15, School of Economics, University of Wollongong, NSW, Australia.
  • Handle: RePEc:uow:depec1:wp07-15
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    File URL: http://www.uow.edu.au/content/groups/public/@web/@commerce/@econ/documents/doc/uow038121.pdf
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    References listed on IDEAS

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    1. Malliaropulos, Dimitrios & Priestley, Richard, 1999. "Mean reversion in Southeast Asian stock markets," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 355-384, October.
    2. Paresh Kumar Narayan & Russell Smyth, 2005. "Are OECD stock prices characterized by a random walk? Evidence from sequential trend break and panel data models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(8), pages 547-556.
    3. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
    4. Ronald Balvers & Yangru Wu & Erik Gilliland, 2000. "Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies," Journal of Finance, American Finance Association, vol. 55(2), pages 745-772, April.
    5. Dan Ben-David & Robin L. Lumsdaine & David H. Papell, 2003. "Unit roots, postwar slowdowns and long-run growth: Evidence from two structural breaks," Empirical Economics, Springer, vol. 28(2), pages 303-319, April.
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    Cited by:

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    2. Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2014. "New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach," Economic Modelling, Elsevier, vol. 43(C), pages 38-41.
    3. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    4. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Do stock returns in India exhibit a mean reverting tendency? Evidence from multiple structural breaks test," MPRA Paper 46502, University Library of Munich, Germany.

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    More about this item

    Keywords

    stock market; random walk; structural break;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International 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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