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Using Neural Networks to Enhance Technical Trading Rule Returns: A Case with KLCI

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  • Jacinta Chan Phooi M'ng
  • Azmin Azliza Aziz

Abstract

In this paper, we test the profitability of technical trading rules which are enhanced by the use of neural networks on the Kuala Lumpur Composite Index (KLCI), a proxy of the Malaysian stock market traded in Bursa Malaysia. The profitable returns on KLCI from 2/1/2008 to 31/12/2014 offer a piece of evidence on the ability of technical trading rules using neural networks to outperform the buy-and-hold threshold benchmark. The test results here suggest that it is worthwhile to investigate, design and develop more robust machine learning algorithms, like neural networks enhanced technical indicators that enhance portfolio returns. The conclusion that can be drawn from this research work is that neural network may be used as tools in technical analysis for future price prediction. The findings from this work will interest all market participants, research analysis and fund managers who want to enhance their portfolio returns globally.

Suggested Citation

  • 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.
    • Handle: RePEc:ate:journl:ajbev2i1-5
    DOI: =10.30958/ajbe.2-1-5
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    References listed on IDEAS

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    1. Lee, Chun I. & Mathur, Ike, 1996. "Trading rule profits in european currency spot cross-rates," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 949-962, June.
    2. Fernandez-Rodriguez, Fernando & Gonzalez-Martel, Christian & Sosvilla-Rivero, Simon, 2000. "On the profitability of technical trading rules based on artificial neural networks:: Evidence from the Madrid stock market," Economics Letters, Elsevier, vol. 69(1), pages 89-94, October.
    3. Neely, Christopher J. & Weller, Paul A. & Ulrich, Joshua M., 2009. "The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 467-488, April.
    4. Saulius Masteika & Aleksandras Vytautas Rutkauskas, 2012. "Research on futures trend trading strategy based on short term chart pattern," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(5), pages 915-930, June.
    5. Adrián Fernández-Pérez & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2012. "Genetic algorithm for arbitrage with more than three currencies," Working Papers 12-04, Asociación Española de Economía y Finanzas Internacionales.
    6. Julián Andrada-Félix & Fernando Fernández-Rodríguez, 2008. "Improving moving average trading rules with boosting and statistical learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 433-449.
    7. Gencay, Ramazan, 1998. "The predictability of security returns with simple technical trading rules," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 347-359, October.
    8. Allen, Helen & Taylor, Mark P, 1990. "Charts, Noise and Fundamentals in the London Foreign Exchange Market," Economic Journal, Royal Economic Society, vol. 100(400), pages 49-59, Supplemen.
    9. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    10. Jingtao Yao & Chew Lim Tan & Hean-Lee Poh, 1999. "Neural Networks For Technical Analysis: A Study On Klci," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 221-241.
    11. Thomas Gehrig & Lukas Menkhoff, 2006. "Extended evidence on the use of technical analysis in foreign exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 327-338.
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    Cited by:

    1. 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.
    2. Jireh Yi-Le Chan & Steven Mun Hong Leow & Khean Thye Bea & Wai Khuen Cheng & Seuk Wai Phoong & Zeng-Wei Hong & Jim-Min Lin & Yen-Lin Chen, 2022. "A Correlation-Embedded Attention Module to Mitigate Multicollinearity: An Algorithmic Trading Application," Mathematics, MDPI, vol. 10(8), pages 1-13, April.

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