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The profitability of moving average trading rules in BRICS and emerging stock markets

Author

Listed:
  • 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
  • Arismendi Zambrano, Juan Carlos

Abstract

Technical analysis and trading systems have been widely used by practitioners in financial markets. Since some academic studies have highlighted that these tools can generate positive alphas when compared with a buy-and-hold strategy, we studied the main stocks of the BRICS and emerging markets. We considered the period from 2000 to 2015 and observed different combinations of moving average strategies and periods. The main results indicate that, for some countries, there is a combination of periods for moving averages producing better outcomes.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecofin:v:38:y:2016:i:c:p:86-101
    DOI: 10.1016/j.najef.2016.08.003
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    Citations

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    Cited by:

    1. Day, Min-Yuh & Ni, Yensen & Huang, Paoyu, 2019. "Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 349-372.
    2. 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.
    3. Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
    4. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).

    More about this item

    Keywords

    BRICS; Emerging markets; Moving average; Technical analysis; Trading systems;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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