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Examination of the profitability of technical analysis based on moving average strategies in BRICS

Author

Listed:
  • Matheus José Silva de Souza

    (University of Brasília)

  • Danilo Guimarães Franco Ramos

    (University of Brasília)

  • Marina Garcia Pena

    (University of Brasília)

  • Vinicius Amorim Sobreiro

    (University of Brasília)

  • Herbert Kimura

    (University of Brasília)

Abstract

In this paper, we investigated the profitability of technical analysis as applied to the stock markets of the BRICS member nations. In addition, we searched for evidence that technical analysis and fundamental analysis can complement each other in these markets. To implement this research, we created a comprehensive portfolio containing the assets traded in the markets of each BRICS member. We developed an automated trading system that simulated transactions in this portfolio using technical analysis techniques. Our assessment updated the findings of previous research by including more recent data and adding South Africa, the latest member included in BRICS. Our results showed that the returns obtained by the automated system, on average, exceeded the value invested. There were groups of assets from each country that performed well above the portfolio average, surpassing the returns obtained using a buy and hold strategy. The returns from the sample portfolio were very strong in Russia and India. We also found that technical analysis can help fundamental analysis identify the most dynamic companies in the stock market.

Suggested Citation

  • Matheus José Silva de Souza & Danilo Guimarães Franco Ramos & Marina Garcia Pena & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Examination of the profitability of technical analysis based on moving average strategies in BRICS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-18, December.
    • Handle: RePEc:spr:fininn:v:4:y:2018:i:1:d:10.1186_s40854-018-0087-z
    DOI: 10.1186/s40854-018-0087-z
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    as
    1. Sharma, J. L. & Kennedy, Robert E., 1977. "A Comparative Analysis of Stock Price Behavior on the Bombay, London, and New York Stock Exchanges," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(3), pages 391-413, September.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Ratner, Mitchell & Leal, Ricardo P. C., 1999. "Tests of technical trading strategies in the emerging equity markets of Latin America and Asia," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1887-1905, December.
    4. repec:bla:jfinan:v:55:y:2000:i:4:p:1705-1770 is not listed on IDEAS
    5. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.
    6. repec:bla:ecorec:v:0:y:1986:i:0:p:24-38 is not listed on IDEAS
    7. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    8. Andrew W. Lo & Craig A. MacKinlay, "undated". "Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (Revision of 5-87)," Rodney L. White Center for Financial Research Working Papers 29-87, Wharton School Rodney L. White Center for Financial Research.
    9. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
    10. Shynkevich, Andrei, 2012. "Performance of technical analysis in growth and small cap segments of the US equity market," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 193-208.
    11. Kuang, P. & Schröder, M. & Wang, Q., 2014. "Illusory profitability of technical analysis in emerging foreign exchange markets," International Journal of Forecasting, Elsevier, vol. 30(2), pages 192-205.
    12. Lui, Yu-Hon & Mole, David, 1998. "The use of fundamental and technical analyses by foreign exchange dealers: Hong Kong evidence," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 535-545, June.
    13. N Mozumder & G De Vita & K.S. Kyaw & C Larkin, 2015. "Volatility Spillover Between Stock Prices and Exchange Rates: New Evidence Across the Recent Financial Crisis Period," Economic Issues Journal Articles, Economic Issues, vol. 20(1), pages 43-64, March.
    14. Jenni L. Bettman & Stephen J. Sault & Emma L. Schultz, 2009. "Fundamental and technical analysis: substitutes or complements?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(1), pages 21-36, March.
    15. Michael A. Noakes & Kanshukan Rajaratnam, 2016. "Testing market efficiency on the Johannesburg Stock Exchange using the overlapping serial test," Annals of Operations Research, Springer, vol. 243(1), pages 273-300, August.
    16. Reitz, Stefan, 2006. "On the predictive content of technical analysis," The North American Journal of Economics and Finance, Elsevier, vol. 17(2), pages 121-137, August.
    17. Treynor, Jack L & Ferguson, Robert, 1985. "In Defense of Technical Analysis," Journal of Finance, American Finance Association, vol. 40(3), pages 757-773, July.
    18. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    19. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
    20. Paramita Mukherjee & Malabika Roy, 2016. "What Drives the Stock Market Return in India? An Exploration with Dynamic Factor Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 15(1), pages 119-145, April.
    21. Andrew W. Lo & Craig A. MacKinlay, "undated". "Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (Revised: 29-87)," Rodney L. White Center for Financial Research Working Papers 5-87, Wharton School Rodney L. White Center for Financial Research.
    22. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    23. 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.
    24. Bessembinder, Hendrik & Chan, Kalok, 1995. "The profitability of technical trading rules in the Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 257-284, July.
    25. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    26. Ellis, Craig A. & Parbery, Simon A., 2005. "Is smarter better? A comparison of adaptive, and simple moving average trading strategies," Research in International Business and Finance, Elsevier, vol. 19(3), pages 399-411, September.
    27. 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.
    28. Sobreiro, Vinicius Amorim & Cruz Cacique da Costa, Thiago Raymon & Farias Nazário, Rodolfo Toríbio & Lima e Silva, Jéssica & Moreira, Eduardo Alves & Lima Filho, Marcius Correia & Kimura, Herbert & Ar, 2016. "The profitability of moving average trading rules in BRICS and emerging stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 86-101.
    29. Jorge L. Urrutia, 1995. "Tests Of Random Walk And Market Efficiency For Latin American Emerging Equity Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(3), pages 299-309, September.
    30. 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.
    31. Subrata Kumar Mitra, 2011. "How rewarding is technical analysis in the Indian stock market?," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 287-297.
    32. da Costa, Thiago Raymon Cruz Cacique & Nazário, Rodolfo Toríbio & Bergo, Gabriel Soares Zica & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2015. "Trading System based on the use of technical analysis: A computational experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 6(C), pages 42-55.
    33. Asma Mobarek & A. Sabur Mollah & Rafiqul Bhuyan, 2008. "Market Efficiency in Emerging Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(1), pages 17-41, January.
    34. Hesham I. Almujamed & Suzanne Fifield & David Power, 2013. "An investigation of the role of technical analysis in Kuwait," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 5(1), pages 43-64, April.
    35. 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.
    36. Vandewalle, N & Ausloos, M & Boveroux, Ph, 1999. "The moving averages demystified," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 170-176.
    Full references (including those not matched with items on IDEAS)

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