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Efficiency in the Australian stock market, 1875-2006: a note on extreme long-run random walk behaviour

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  • Andrew Worthington
  • Helen Higgs

Abstract

This article examines the weak-form market efficiency of the Australian stock market. Daily returns from 6 January 1958 to 12 April 2006 and monthly returns from February 1875 to December 2005 are examined for random walks using serial correlation coefficient and runs tests, augmented Dickey-Fuller, Phillips-Perron and Kwiatkowski, Phillips, Schmidt and Shin unit root tests and multiple variance ratio tests. The serial correlation tests indicate inefficiency in daily returns and borderline efficiency in monthly returns, while the runs tests conclude that both series are weak form inefficient. The unit root tests suggest weak-form inefficiency in both return series. The results of the more stringent and least restrictive variance ratio tests indicate that the monthly returns series is characterized by a homoscedastic random walk, but the daily series violates weak-form efficiency because of the short-term autocorrelation in returns.

Suggested Citation

  • Andrew Worthington & Helen Higgs, 2009. "Efficiency in the Australian stock market, 1875-2006: a note on extreme long-run random walk behaviour," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 301-306.
    • Handle: RePEc:taf:apeclt:v:16:y:2009:i:3:p:301-306
    DOI: 10.1080/13504850601018379
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    Citations

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    Cited by:

    1. Jeetendra Dangol, Ph.D., 2016. "Stock Market Efficiency in Nepal: A Variance Ratio Test," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 28(2), pages 61-74, October.
    2. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    3. Kostas Mavromaras & Neha Deo & Heath Spong & Maria Estela Varua, 2017. "The Impact of the GFC on Sectoral Market Efficiency: Non-linear Testing for the Case of Australia," The Economic Record, The Economic Society of Australia, vol. 93, pages 38-56, June.
    4. Dimpfl, Thomas, 2014. "A note on cointegration of international stock market indices," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 10-16.
    5. Deniz Erer & Elif Erer & Selim Güngör, 2023. "The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    6. Christopher A. Hartwell, 2021. "Market Behavior in the Face of Political Violence: Evidence from Tsarist Russia," JRFM, MDPI, vol. 14(9), pages 1-13, September.
    7. Hiremath, Gourishankar S & Bandi, Kamaiah, 2009. "On the random walk characteristics of stock returns in India," MPRA Paper 46499, University Library of Munich, Germany.
    8. Ben Ammar, Imen & Hellara, Slaheddine, 2021. "Intraday interactions between high-frequency trading and price efficiency," Finance Research Letters, Elsevier, vol. 41(C).
    9. Jyoti Gupta & Sardana Sankalp, 2017. "The Impact of Global Financial Crisis on Market Efficiency: An Empirical Analysis of the Indian Stock Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(4), pages 225-252, April.
    10. Godfrey, Keith R.L., 2017. "Toward a model-free measure of market efficiency," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 97-112.

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