Does technical analysis work in the Russian market? Insights from MICEX (MOEX Russia) Index component stocks

Economic Annals-ХХI: Volume 178, Issue 7-8, Pages: 114-122

Citation information:
Nor, S. M., & Zawawi, N. H. M. (2019). Does technical analysis work in the Russian market? Insights from MICEX (MOEX Russia) Index component stocks. Economic Annals-XXI, 178(7-8), 114-122. doi: https://doi.org/10.21003/ea.V178-10


Safwan Mohd Nor
PhD (Finance),
RHB Islamic Endowed Scholar in Finance,
Faculty of Business, Economics and Social Development,
University of Malaysia Terengganu
21030 Kuala Nerus, Terengganu, Malaysia;
Research Associate,
Victoria Institute of Strategic Economic Studies,
Victoria University
Melbourne, Victoria 3000, Australia
safwan@umt.edu.my
safwan.mohdnor@live.vu.edu.au
ORCID ID: http://orcid.org/0000-0003-0791-2363

Nur Haiza Muhammad Zawawi
PhD (Accounting),
Senior Lecturer,
University of Malaysia Terengganu
21030 Kuala Nerus, Terengganu, Malaysia
nurhaiza@umt.edu.my
ORCID ID: https://orcid.org/0000-0002-9894-643X

Does technical analysis work in the Russian market? Insights from MICEX (MOEX Russia) Index component stocks

Abstract. Emerging markets are generally considered less information efficient as compared to their more developed counterparts. This suggests potential arbitrage opportunities through the use of some forms of trading rules which emit buy/sell signals. In this paper, we explore the hybrid rule of two popular oscillators, Chaikin Oscillator and Relative Strength Index, in the emerging market of Russia. Data include constituents of the market barometer for the period 26/11/2011 to 31/07/2019.

The whole sample is divided into three non-overlapping subperiods to distinguish each phase for the likelihood that the market is becoming more efficient in recent times. These subperiods also represent significant developments in the market such as unified trading platform, initial public offering of the Moscow Exchange, corporate governance reforms and rebranding of the benchmark index from MICEX to MOEX Russia Index.

We find that the combined rule can yield positive returns and dominate the buy-and-hold rule especially at the start, although this outperformance diminishes. Further, from subperiod II onwards, passive strategy surpasses the hybrid rule in risk-return sense (Sharpe and Sortino measures) and this outcome intensifies. The results suggest that the Russian stock market progressively moves towards efficiency.

Keywords: Technical Analysis; Chaikin Oscillator; Relative Strength Index; Hybrid Rule; Market Efficiency; Trading Strategy; Moscow Exchange; MICEX; MOEX Russia Index

JEL Classifications: G11; G14; G17

Acknowledgements and Funding: The main author is the RHB Islamic Endowed Scholar in Finance and Senior Lecturer (Finance) at University of Malaysia Terengganu. The authors thank RHB Islamic Bank Berhad for the financial support in publishing this paper (Grant Number: 53276).

Contribution: Both authors contributed significantly and equally to this work.

DOI: https://doi.org/10.21003/ea.V178-10

References

  1. Malkiel, B. (2007). A random walk down Wall Street: the time-tested strategy for successful investing. New York: W. W. Norton & Company.
  2. Menkhoff, L. (2010). The use of technical analysis by fund managers: international evidence. Journal of Banking and Finance, 34(11), 2573-2586.
    doi: https://doi.org/10.1016/j.jbankfin.2010.04.014
  3. Taylor, M. P., & Allen, H. (1992). The use of technical analysis in the foreign exchange market. Journal of International Money and Finance, 11(3), 304-314.
    doi: https://doi.org/10.1016/0261-5606(92)90048-3
  4. Fama, E. F. (1965). Random walks in stock market prices. Financial Analysts Journal, 21(5), 55-59.
    doi: https://doi.org/10.2469/faj.v21.n5.55
  5. Fama, E. F. (1970). Efficient capital markets: a review of theory and empirical work. Journal of Finance, 25(2), 383-417.
    doi: https://doi.org/10.2307/2325486
  6. International Monetary Fund (2016, October). Global financial stability report: fostering stability in a low-growth, low-rate era. Washington: International Monetary Fund.
    Retrieved from https://www.imf.org/~/media/Websites/IMF/imported-flagship-issues/external/pubs/ft/GFSR/2016/02/pdf/_text.ashx
  7. Nazário, R. T. F., de Silva, J. L., Sobreiro, V. A., & Kimura, H. (2017). A literature review of technical analysis on stock markets. The Quarterly Review of Economics and Finance, 66, 115-126.
    doi: https://doi.org/10.1016/j.qref.2017.01.014
  8. Psaradellis, I., Laws, J., Pantelous, A. A., & Sermpinis, G. (2019). Performance of technical trading rules: evidence from the crude oil market. European Journal of Finance, 25, 1793-1815.
    doi: https://doi.org/10.1080/1351847X.2018.1552172
  9. Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance, 47(5), 1731-1764.
    doi: https://doi.org/10.1111/j.1540-6261.1992.tb04681.x
  10. Chong, T., T-L., & Ng, W-K. (2008). Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30. Applied Economics Letters, 15(14), 1111-1114.
    doi: https://doi.org/10.1080/13504850600993598
  11. Corbet, S., Eraslan, V., Lucey, B., & Sensoy, A. (2019). The effectiveness of technical trading rules in cryptocurrency markets. Finance Research Letters, 31, 32-37.
    doi: https://doi.org/10.1016/j.frl.2019.04.027
  12. Nor, S. M., & Wickremasinghe, G. (2014). The profitability of MACD and RSI trading rules in the Australian stock market. Investment Management and Financial Innovations, 11(4), 194-199.
    Retrieved from https://businessperspectives.org/images/pdf/applications/publishing/
    templates/article/assets/6228/imfi_en_2014_04cont_Nor.pdf
  13. Nor, S. M., & Wickremasinghe, G. (2017). Market efficiency and technical analysis during different market phases: Further evidence from Malaysia. Investment Management and Financial Innovations, 14(2), 359-366.
    doi: https://doi.org/10.21511/imfi.14(2-2).2017.07
  14. Marshall, B. R., & Cahan, R. H. (2005). Is technical analysis profitable on a stock market which has characteristics that suggest it may be inefficient? Research in International Business and Finance, 19(3), 384-398.
    doi: https://doi.org/10.1016/j.ribaf.2005.05.001
  15. Metghalchi, M., Hayes, L. A., & Niroomand, F. (2018). A technical approach to equity investing in emerging markets. Review of Financial Economics, 37(3), 389-403.
    doi: https://doi.org/10.1002/rfe.1041
  16. Yahoo Finance (2019). Stock market live, quotes, business & finance news.
    Retrieved from https://finance.yahoo.com
  17. Wilder, J. W. (1978). New concepts in technical trading systems. Greensboro: Trend Research.
  18. Pätäri, E., Luukka, P., Fedorova, E., & Garanina, T. (2017). The anatomy of returns from moving average trading rules in the Russian stock market. Applied Economics Letters, 24(5), 311-318.
    doi: https://doi.org/10.1080/13504851.2016.1186788
  19. Ehlers, J. F., & Way, R. (2010). Fractal Dimension as a market mode sensor. Technical Analysis of Stocks & Commodities, 28(6), 16-20.
    Retrieved from https://store.traders.com/stcov281frdi.html
  20. Balsara, N. (1992). Money management strategies for future traders. New York: John Wiley & Sons.

Received 19.08.2019
Received in revised form 29.08.2019
Accepted 30.08.2019
Available online 30.09.2019