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Random Walk in Emerging Asian Stock Markets

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  • Muneer Shaik
  • S. Maheswaran

Abstract

The random walk hypothesis is an important area of research in finance and many tools have been proposed to investigate the behaviour of the fluctuations in stock prices. However, a detail study on emerging Asian stock markets which employ the various unit root tests has not been done. In this paper, we employ six different unit root tests such as the Augmented Dickey and Fuller test (1979), Phillips and Perron test (1988), Kwiatkowski-Phillips-Schmidt-Shin test(1992), Dickey-Fuller GLS (ERS) test (1996), Elliot-Rothenberg-Stock Point-Optimal test (1996) and Ng and Perron (2001) unit root tests on 10 emerging Asian stock markets to detect for the presence of a random walk in stock prices. We have conducted the unit root tests during different sub-sample time periods of global financial crisis to check for robustness. To be specific, we have found that during the overall sample period (2001-2015) 8 out of 10 Asian stock markets and during the pre-crisis period (2001-2007) all the 10 Asian stock market prices do follow random walk according to the unit root tests under consideration. However, during the crisis & post-crisis period (2008-2015) we have found only 5 out of 10 Asian markets follow the random walk movement based on unit root tests.

Suggested Citation

  • Muneer Shaik & S. Maheswaran, 2017. "Random Walk in Emerging Asian Stock Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(1), pages 20-31, January.
    • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:1:p:20-31
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    References listed on IDEAS

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    1. Cooray, Arusha. & Wickremasinghe, Guneratne., 2007. "The efficiency of emerging stock markets: empirical evidence from the south asian region," Journal of Developing Areas, Tennessee State University, College of Business, vol. 41(1), pages 171-183, September.
    2. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    3. 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.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. Asma Mobarek & A. Sabur Mollah & Rafiqul Bhuyan, 2008. "Market Efficiency in Emerging Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(1), pages 17-41, January.
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    Cited by:

    1. Mukta Kanvinde & Muneer Shaik, 2020. "Are BRICS Stock Market Indices Mean Reverting? Evidence Based on Expected Lifetime Range Ratio," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(2), pages 169-186, September.
    2. Adewuyi, Adeolu O. & Wahab, Bashir A. & Adeboye, Olusegun S., 2020. "Stationarity of prices of precious and industrial metals using recent unit root methods: Implications for markets’ efficiency," Resources Policy, Elsevier, vol. 65(C).

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    More about this item

    Keywords

    unit root tests; random walk; weak-form efficiency; stock indices; emerging asian markets; global financial crisis;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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