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Market Efficiency Based on Unconventional Technical Trading Strategies in Malaysian Stock Market

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  • Pick-Soon Ling

    (School of Economics, Faculty Economic and Management, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia)

  • Ruzita Abdul-Rahim

    (School of Management, Faculty Economics and Management, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.)

Abstract

This study examines the efficiency of Malaysian stock market based on the effectiveness of unconventional technical trading strategies which combine buy recommendation of securities experts with sell signals from 10 different technical strategies (simple moving average, moving average envelopes, Bollinger bands, momentum, commodity channel index, relative strength index, stochastic, Williams percentage range, moving average convergence divergence oscillator and shooting star). We collect 1,665 buy recommendations involving 173 shares over a 3-year period starting January 1, 2013 until December 31, 2015. To ensure each buy recommendation is matched with the technical strategy's sell signals, the period is extended until March 31, 2016. Results of Jensen's alpha show that 6 out of 10 technical trading rules are significant in generating risk-adjusted net abnormal returns, suggesting Malaysian stock market is still inefficient in the weak form. This conclusion is supported with results of unit root tests on daily returns of the 173 shares over the same study period.

Suggested Citation

  • Pick-Soon Ling & Ruzita Abdul-Rahim, 2017. "Market Efficiency Based on Unconventional Technical Trading Strategies in Malaysian Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 88-96.
    • Handle: RePEc:eco:journ1:2017-03-13
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    References listed on IDEAS

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    1. Mansoor Maitah & Petr Prochazka & Michal Cermak & Karel r dl, 2016. "Commodity Channel Index: Evaluation of Trading Rule of Agricultural Commodities," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 176-178.
    2. Pyemo Afego, 2012. "Weak Form Efficiency of the Nigerian Stock Market: An Empirical Analysis (1984 2009)," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 340-347.
    3. Neha Seth & A. K. Sharma, 2015. "International stock market efficiency and integration," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 12(2), pages 88-106, August.
    4. Andreassen, Paul B., 1988. "Explaining the price-volume relationship: The difference between price changes and changing prices," Organizational Behavior and Human Decision Processes, Elsevier, vol. 41(3), pages 371-389, June.
    5. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    6. Jeffrey E. Jarrett, 2010. "Efficient markets hypothesis and daily variation in small Pacific‐basin stock markets," Management Research Review, Emerald Group Publishing Limited, vol. 33(12), pages 1128-1139, November.
    7. Francesco Guidi & Rakesh Gupta, 2013. "Market efficiency in the ASEAN region: evidence from multivariate and cointegration tests," Applied Financial Economics, Taylor & Francis Journals, vol. 23(4), pages 265-274, February.
    8. Andrei STĂNCULESCU & Eugen MITRICĂ, 2012. "Testing weak form informational efficiency on the Romanian capital market," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(9(574)), pages 29-36, September.
    9. 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.
    10. Terence Tai-Leung Chong & Wing-Kam Ng, 2008. "Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1111-1114.
    11. Joseph Man-Joe Leung & Terence Tai-Leung Chong, 2003. "An empirical comparison of moving average envelopes and Bollinger Bands," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 339-341.
    12. Yu, Hao & Nartea, Gilbert V. & Gan, Christopher & Yao, Lee J., 2013. "Predictive ability and profitability of simple technical trading rules: Recent evidence from Southeast Asian stock markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 356-371.
    13. Jacinta Chan Phooi M'ng & Azmin Azliza Aziz, 2016. "Using Neural Networks to Enhance Technical Trading Rule Returns: A Case with KLCI," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 2(1), pages 63-70, January.
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    Cited by:

    1. Stefán B. Gunnlaugsson, 2018. "Trading Rules On A Small Stock Market," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 46-55, March.

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    More about this item

    Keywords

    Stock Market Efficiency; Technical Trading Strategy; Malaysian Stock Market;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • P45 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - International Linkages

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