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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Subscription Original Article

Risk–Return Efficiency of Stochastic Oscillator Strategies in BRICS During COVID-19 and Geopolitical Conflicts

Poonam1,  N. S. Malik2

1 Research Scholar, Haryana School of Business, Guru Jambheshwar University of Science & Technology, Hisar - 125 001, Haryana.

2 Professor , Haryana School of Business, Guru Jambheshwar University of Science & Technology, Hisar - 125 001, Haryana.

Volume 19
Issue 10
Pages 39–52
Year 2025
Received: Feb. 5, 2025 Accepted: Sept. 12, 2025 Published: Oct. 15, 2025
Abstract

Purpose: This study examined the risk–return efficiency of stochastic oscillator-based trading strategies in BRICS stock markets during the COVID-19 pandemic and recent geopolitical conflicts.

Methodology: Using daily index data from January 2018 to May 2025, the study applied t-tests, CAGR, alpha ratio, and Sharpe ratio to assess the performance of the stock market.

Findings: The stochastic oscillator failed to outperform the buy-hold strategy consistently. Positive results were limited to Russia and South Africa, while Brazil, India, and China showed weak or negative risk-adjusted returns. Practical

Implications: Traders in BRICS markets used stochastic strategies cautiously, especially in volatile environments, and avoided relying on them as standalone tools.

Originality: This research added to the literature by uniquely analyzing the stochastic oscillator under crisis conditions, offering practical insights for active trading in emerging markets.

Keywords technical trading stochastic oscillator stock market BRICS
How to Cite

Poonam, N. S. Malik (2025). Risk–Return Efficiency of Stochastic Oscillator Strategies in BRICS During COVID-19 and Geopolitical Conflicts. Indian Journal of Finance, 19(10), 39–52. https://doi.org/10.17010/ijf/2025/v19i10/175678

References
  1. Agarwal, A., Arya, P. K., Patil, H., & Laheri, V. K. (2025). Assessment of market performance and influencing factors of Indian initial public offerings (IPOs). Indian Journal of Finance, 19(4), 40–59. https://doi.org/10.17010/ijf/2025/v19i4/174948
  2. Akhtar, F., Kumar, M., & Malik, N. S. (2021). A cointegration approach for selection of currency pairs. Indian Journal of Finance, 15(12), 22–38. https://doi.org/10.17010/ijf/2021/v15i12/160018
  3. Awasthi, A., & Shaukat, M. (2025). Dynamics of long memory in the cryptocurrency market. Indian Journal of Finance, 19(8), 8–28. https://doi.org/10.17010/ijf/2025/v19i8/175231
  4. Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47(5), 1731–1764. https://doi.org/10.1111/j.1540-6261.1992.tb04681.x
  5. de Souza, M. J., Ramos, D. G., Pena, M. G., Sobreiro, V. A., & Kimura, H. (2018). Examination of the profitability of technical analysis based on moving average strategies in BRICS. Financial Innovation, 4(1), Article no. 3. https://doi.org/10.1186/s40854-018-0087-z
  6. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
  7. Jena, M. K., Das, S., & Kar, B. (2024). Sentiment analysis of chairperson's message and its influence on financial performance: Study on NIFTY 50 companies. Indian Journal of Finance, 18(11), 8–23. https://doi.org/10.17010/ijf/2024/v18i11/174639
  8. Malhotra, N. (2025). TVP-VAR analysis of NFT, DeFi, assets, and clean energy in investment portfolio. Indian Journal of Finance, 19(2), 45–61. https://doi.org/10.17010/ijf/2025/v19i2/174770
  9. Murphy, J. J. (1999). Technical analysis of the financial markets: A comprehensive guide to trading methods and applications. Penguin Publishing Group.
  10. Muruganandan, S. (2020). Testing the profitability of technical trading rules across market cycles: Evidence from India. Colombo Business Journal, 11(1), 24–46. https://doi.org/10.4038/cbj.v11i1.56
  11. Poonam. & Malik, N. S. (2025). Efficiency and predictive power of technical trading rules in post-COVID-19 era: A study of BRICS stock market. Indian Journal of Finance, 19(1), 52–66. https://doi.org/10.17010/ijf/2025/v19i1/174695
  12. Raghuram, G. (2017). Investigating the 'month of the year' effect in India. Indian Journal of Finance, 11(1), 11–28. https://doi.org/10.17010/ijf/2017/v11i1/108958
  13. Reddy, C. V. (2019). Predicting the stock market index using stochastic time series ARIMA modelling: The sample of BSE and NSE. Indian Journal of Finance, 13(8), 7–25. https://doi.org/10.17010/ijf/2019/v13i8/146301
  14. Rejimon, A. V., Sinosh, P. K., & Krishnaveni, V. (2025). A comprehensive analysis of solvency, profitability, and liquidity in minimizing bankruptcy and financial stress. Indian Journal of Finance, 19(6), 66–78. https://doi.org/10.17010/ijf/2025/v19i6/175132
  15. Rinky, Singh, S., & Sachin. (2025). BSOPM and BOPM models in banknifty options: A study on their applicability and risk framework. Indian Journal of Finance, 19(7), 25–46. https://doi.org/10.17010/ijf/2025/v19i7/175195
  16. Sahoo, S., & Kumar, S. (2023). Volatility spillover among the sectoral indices of the Indian capital market : Evidence from the COVID period. Indian Journal of Finance, 17(9), 41–57. https://doi.org/10.17010/ijf/2023/v17i9/173183
  17. Seelenfreund, A., Parker, G. G., & Van Horne, J. C. (1968). Stock price behavior and trading. The Journal of Financial and Quantitative Analysis, 3(3), 263–281. https://doi.org/10.2307/2329813
  18. Sing, N. B., Ropuii, L., & Singh, R. G. (2025). Religious holiday anomaly : Evidence from the Indian equity market. Indian Journal of Finance, 19(3), 26–43. https://doi.org/10.17010/ijf/2025/v19i3/174848
  19. Singha, U. S., Singh, N. B., & Mutum, K. (2024). Indian commodity derivatives market : Structural breaks and price discovery. Indian Journal of Finance, 18(8), 8–21. https://doi.org/10.17010/ijf/2024/v18i8/174240
  20. Sobreiro, V. A., da Costa, T. R., Nazário, R. T., e Silva, J. L., Moreira, E. A., Filho, M. C., Kimura, H., & Zambrano, J. C. (2016). The profitability of moving average trading rules in BRICS and emerging stock markets. The North American Journal of Economics and Finance, 38, 86–101. https://doi.org/10.1016/j.najef.2016.08.003
  21. Tadas, H., Nagarkar, J., Malik, S., Mishra, D. K., & Paul, D. (2023). The effectiveness of technical trading strategies: Evidence from Indian equity markets. Investment Management and Financial Innovations, 20(2), 26–40. https://doi.org/10.21511/imfi.20(2).2023.03
  22. Vashishtha, V. M., & Kumar, P. (2013). 50 years of immunization in India: Progress and future. Indian Pediatrics, 50, 111–118. https://doi.org/10.1007/s13312-013-0025-0
  23. World Health Organization. (2020). WHO Director-General's opening remarks at the media briefing on COVID-19 – 11 March 2020. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020
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