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Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30

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  • Terence Tai-Leung Chong
  • Wing-Kam Ng

Abstract

This article examines two oscillators - the Moving Average Convergence-Divergence (MACD) and the Relative Strength Index (RSI) - to see if these rules are profitable. Using 60-year data of the London Stock Exchange FT30 Index, it is found that the RSI as well as the MACD rules can generate returns higher than the buy-and-hold strategy in most cases.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:apeclt:v:15:y:2008:i:14:p:1111-1114
    DOI: 10.1080/13504850600993598
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    Citations

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    Cited by:

    1. Ülkü, Numan & Prodan, Eugeniu, 2013. "Drivers of technical trend-following rules' profitability in world stock markets," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 214-229.
    2. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    3. Abdorrahman Haeri & Masoud Rabbani & Ali Habibnia, 2011. "The Proposed Mathematical Models for Decision-Making and Forecasting on Euro-Yen in Foreign Exchange Market," Iranian Economic Review, Economics faculty of Tehran university, vol. 16(3), pages 67-91, fall.
    4. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
    5. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
    6. Terence Tai-Leung Chong & Wing-Kam Ng & Venus Khim-Sen Liew, 2014. "Revisiting the Performance of MACD and RSI Oscillators," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 7(1), pages 1-12, February.
    7. Terence Tai-Leung Chong & Chen Li & Ho Tin Yu, 2008. "Structural Change in the Stock Market Efficiency after the Millennium: The MACD Approach," Economics Bulletin, AccessEcon, vol. 7(12), pages 1-6.
    8. Kim man Lui & Terence T. L. Chong, 2013. "Do Technical Analysts Outperform Novice Traders: Experimental Evidence," Economics Bulletin, AccessEcon, vol. 33(4), pages 3080-3087.
    9. repec:ebl:ecbull:v:7:y:2008:i:12:p:1-6 is not listed on IDEAS
    10. Bai, Limiao & Yan, Sen & Zheng, Xiaolian & Chen, Ben M., 2015. "Market turning points forecasting using wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 184-197.
    11. repec:eee:reveco:v:53:y:2018:i:c:p:168-184 is not listed on IDEAS
    12. Gerritsen, Dirk F., 2016. "Are chartists artists? The determinants and profitability of recommendations based on technical analysis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 179-196.

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