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The Semi-strong Efficiency of the Australian Share Market

Author

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  • Groenewold, Nicolaas
  • Kuay, Chin Kang

Abstract

This paper tests the weak and semistrong forms of the efficient-markets hypothesis using data on the Australian share market in the 1980s. The tests are based on aggregate share price indexes and the semistrong efficiency tests use macroeconomic data. The weak-form tests examine the autocorrelation structure of share returns and test for unit roots in share prices. The data are found to be consistent with the efficient-markets hypothesis. Copyright 1993 by The Economic Society of Australia.

Suggested Citation

  • Groenewold, Nicolaas & Kuay, Chin Kang, 1993. "The Semi-strong Efficiency of the Australian Share Market," The Economic Record, The Economic Society of Australia, vol. 69(207), pages 405-410, December.
  • Handle: RePEc:bla:ecorec:v:69:y:1993:i:207:p:405-10
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    Cited by:

    1. neifar, malika, 2020. "Efficiency-Market Hypothesis: case of Tunisian and 6 ‎Asian stock markets ‎," MPRA Paper 103232, University Library of Munich, Germany.
    2. Xiaoming Li & Jian Xu, 2002. "A note on New Zealand Stock Market efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 9(13), pages 879-883.
    3. Senol Emir & Hasan Dincer & Umit Hacioglu & Serhat Yuksel, 2016. "Random Regression Forest Model using Technical Analysis Variables: An application on Turkish Banking Sector in Borsa Istanbul (BIST)," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 5(3), pages 85-102, April.
    4. Senarathne Chamil W., 2020. "Are Religious Believers Irrational: A Direct Test from an Efficient Market Hypothesis," Financial Sciences. Nauki o Finansach, Sciendo, vol. 25(1), pages 35-53, March.
    5. N. Groenewold & P. Fraser, 1997. "Time-varying betas & macroeconomic influences," Economics Discussion / Working Papers 97-09, The University of Western Australia, Department of Economics.
    6. Sasipa Pojanavatee, 2014. "Cointegration and causality analysis of dynamic linkage between stock market and equity mutual funds in Australia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-17, December.
    7. 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.
    8. Subrata ROY, 2022. "Whether high frequency intraday data behave randomly: Evidence from NIFTY 50," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 65-80, Summer.
    9. Aatola, Piia & Ollikka, Kimmo & Ollikainen, Markku, 2012. "Informational Efficiency of the EU ETS market – a study of price predictability and profitable trading," Working Papers 28, VATT Institute for Economic Research.
    10. Subrata Roy, 2018. "Testing Random Walk and Market Efficiency: A Cross-Stock Market Analysis," Foreign Trade Review, , vol. 53(4), pages 225-238, November.

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