The effectiveness of technical trading strategies: Evidence from Indian equity markets
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DOIhttp://dx.doi.org/10.21511/imfi.20(2).2023.03
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Article InfoVolume 20 2023, Issue #2, pp. 26-40
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The purpose of the study was to analyze the effectiveness of technical trading strategies in trading stocks of selected Indian companies represented in the Nifty 50 Index. The research was done using secondary data from January 2022 to August 2022. Hourly share prices of 14 largest companies as per market capitalization from 14 different sectors from the Nifty 50 Index were considered as a part of the study. Simple Moving Average, Exponential Moving Average – Relative Strength Index and Bollinger Bands – Relative Strength Index – strategies considered in the study. It was found that strategy based on Bollinger Bands and Relative Strength Index performed the best. Performance was considered with respect to both the number of stocks having a net profit and the number of stocks that were able to outperform the buy-and-hold strategy for the time period considered. The study considered several combined strategies and performance indicators, whereas previous studies used limited indicators. Out of the 14 stocks considered, the Simple Moving Average strategy was able to generate net profit for 8 stocks and it outperformed the buy-and-hold strategy for 6 stocks, Exponential Moving Average – Relative Strength Index strategy generated net profit for 6 stocks and it outperformed the buy-and-hold strategy for 5 stocks, and the Bollinger Bands – Relative Strength Index generated net profit for 11 stocks and it outperformed the buy-and-hold strategy for 10 stocks. The Bollinger Bands – Relative Strength Index strategy was able to outperform as it was more dynamic and entered and exited positions actively.
- Keywords
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JEL Classification (Paper profile tab)G11, G17
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References40
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Tables4
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Figures4
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- Figure 1. Flowchart depicting the framework for implementing a trading strategy
- Figure 2. SMA Crossover Strategy applied on Maruti Suzuki Ltd.
- Figure 3. EMA & RSI Strategy applied on Adani Ports & SEZ Ltd.
- Figure 4. Bollinger Bands & RSI Strategy applied on Asian Paints Ltd.
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- Table A1. List of companies considered for the study
- Table A2. SMA Crossover Strategy results
- Table A3. EMA and RSI Strategy results
- Table A4. Bollinger Bands and RSI Strategy results
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- Bessembinder, H., & Chan, K. (1995). The profitability of technical trading rules in the Asian stock markets. Pacific-Basin Finance Journal, 3(2-3), 257-284.
- Bhargavi, R., Gumparthi, S., & Anith, R. (2017). Relative strength index for developing effective trading strategies in constructing optimal portfolio. International Journal of Applied Engineering Research, 12(19), 8926-8936.
- Bley, J., & Saad, M. (2020). An analysis of technical trading rules: The case of MENA markets. Finance Research Letters, 33(April 2019), 101182.
- da Costa, T. R. C. C., Nazário, R. T., Bergo, G. S. Z., Sobreiro, V. A., & Kimura, H. (2015). Trading System based on the use of technical analysis: A computational experiment. Journal of Behavioral and Experimental Finance, 6, 42-55.
- de Almeida, L. A. G. (2020). Technical indicators for rational investing in the technology companies: The evidence of FAANG stocks. Jurnal Pengurusan, 59(2020), 75-87.
- Dichtl, H. (2020). Investing in the S&P 500 index: Can anything beat the buy-and-hold strategy? Review of Financial Economics, 38(2).
- Faber, M. T. (2012). Relative Strength Strategies for Investing. SSRN Electronic Journal, 90245(April).
- Fang, J., Qin, Y., & Jacobsen, B. (2014). Technical market indicators: An overview. Journal of Behavioral and Experimental Finance, 4, 25-56.
- Frömmel, M., & Lampaert, K. (2016). Does frequency matter for intraday technical trading? Finance Research Letters, 18, 177-183.
- Gençay, R. (1998). Optimization of technical trading strategies and the profitability in security markets. Economics Letters, 59(2), 249-254.
- Gunasekarage, A., & Power, D. M. (2001). The profitability of moving average trading rules in South Asian stock markets. Emerging Markets Review, 2(1), 17-33.
- Gupta, S., & Shrivastava, M. (2022). Herding and loss aversion in stock markets: mediating role of fear of missing out (FOMO) in retail investors. International Journal of Emerging Markets, 17(7), 1720-1737.
- Hatgioannides, J., & Mesomeris, S. (2007). On the returns generating process and the profitability of trading rules in emerging capital markets. Journal of International Money and Finance, 26(6), 948-973.
- Hidayat, A., & Sihabuddin, A. (2021). Evaluating the impact of multiple leading indicator in forecasting next day stock price with lstm. Journal of Theoretical and Applied Information Technology, 99(2), 293-303.
- Hoffmann, A. O. I., & Shefrin, H. (2014). Technical analysis and individual investors. Journal of Economic Behavior and Organization, 107(PB), 487-511.
- Kakani, R. K., & Sundhar, S. (2011). Profiting from Technical Analysis in Indian Equity Markets: Using Moving Averages. SSRN Electronic Journal.
- Lento, C. (2011). Forecasting Security Returns With Simple Moving Averages. International Business & Economics Research Journal (IBER), 7(11), 11-22.
- Lento, C., & Gradojevic, N. (2007). The profitability of technical trading rules: A combined signal approach. Journal of Applied Business Research, 23(1), 13-28.
- 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.
- McQueen, G., & Roley, V. V. (1993). Stock prices, news, and business conditions. Review of Financial Studies, 6(3), 683-707.
- Menkhoff, L. (2010). The use of technical analysis by fund managers: International evidence. Journal of Banking and Finance, 34(11), 2573-2586.
- Miralles-Quiros, J., Miralles-Quiros, M., & Gonçalves, L. (2018). Profitability of Technical Trading Rules in the Brazilian Stock Market. Revista Evidenciação Contábil & Finanças, 6(2), 133-150.
- Mohtadi, H., & Agarwal, S. (2001). Stock Market Development and Economic Growth: Evidence from Developing Countries (pp. 1-19).
- Narayan, P. K., Ahmed, H. A., Sharma, S. S., & K.P., P. (2014). How profitable is the Indian stock market? Pacific Basin Finance Journal, 30, 44-61.
- Narayan, P. K., & Bannigidadmath, D. (2015). Are Indian stock returns predictable? Journal of Banking and Finance, 58, 506-531.
- Narayan, P. K., Phan, D. H. B., & Bannigidadmath, D. (2017). Is the profitability of Indian stocks compensation for risks? Emerging Markets Review, 31, 47-64.
- Ni, Y., Day, M. Y., Huang, P., & Yu, S. R. (2020). The profitability of Bollinger Bands: Evidence from the constituent stocks of Taiwan 50. Physica A: Statistical Mechanics and Its Applications, 551(56), 124144.
- Ortmann, R., Pelster, M., & Wengerek, S. T. (2020). COVID-19 and investor behavior. Finance Research Letters, January.
- Parisi, F., & Vasquez, A. (2000). Simple technical trading rules of stock returns: Evidence from 1987 to 1998 in Chile. Emerging Markets Review, 1(2), 152-164.
- Pavlov, V., & Hurn, S. (2012). Testing the profitability of moving-average rules as a portfolio selection strategy. Pacific Basin Finance Journal, 20(5), 825-842.
- Ratner, M., & Leal, R. P. C. (1999). Tests of technical trading strategies in the emerging equity markets of Latin America and Asia. Journal of Banking and Finance, 23(12), 1887-1905.
- Roberts, H. V. (1959). Stock-Market “Patterns” and Financial Analysis: Methodological Suggestions. The Journal of Finance, 14(1), 1-10.
- Sabri, N. R. (2008). The impact of trading volume on stock price volatility in the Arab economy. Journal of Derivatives & Hedge Funds, 14(3-4), 285-298.
- Sobreiro, V. A., Cruz Cacique da Costa, T. R., Farias Nazário, R. T., Lima e Silva, J., Moreira, E. A., Lima Filho, M. C., Kimura, H., & Arismendi Zambrano, J. C. (2016). The profitability of moving average trading rules in BRICS and emerging stock markets. North American Journal of Economics and Finance, 38, 86-101.
- Stanković, J., Marković, I., & Stojanović, M. (2015). Investment Strategy Optimization Using Technical Analysis and Predictive Modeling in Emerging Markets. Procedia Economics and Finance, 19(15), 51-62.
- Sumant, C., Bhavsar, V., Sinha, B. K., & Bhatt, V. (2022). Impact of Stock Trading Apps on Indian Millennial Consumer Behavior in the Stock Market. 2022 International Conference on Decision Aid Sciences and Applications (DASA), 382-386.
- Tharavanij, P., Siraprapasiri, V., & Rajchamaha, K. (2015). Performance of technical trading rules: evidence from Southeast Asian stock markets. SpringerPlus, 4(1).
- Vajda, V. (2014). Could a Trader Using Only “Old” Technical Indicator be Successful at the Forex Market? Procedia Economics and Finance, 15(14), 318-325.
- Windasari, I. P., Prasetijo, A. B., & Pangabean, R. P. (2018). Indonesia stock exchange securities buy/sell signal detection using bollinger bands and williams percent range. 2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018, 633-636.
- Zuzik, J., Weiss, R., & Antošová, M. (2014). Use of technical analysis indicators at trading shares of steel companies. Metalurgija, 53(2), 286-288.