Risk management using a relative strength index based on a mean-variance portfolio
Sayyed Mohammad Reza Davoodi
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Keywords: Technical Analysis, Relative Strength Index, Mean-Variance Portfolio, Weighted Cumulative RSI.,
Abstract :
The Relative Strength Index (RSI) is one of the oscillators widely used in technical analysis. The present study aims to manage risk in strategies based on this oscillator by introducing a Relative Strength Index based on the mean-variance stock portfolio. In this approach employs a stock portfolio instead of a single asset and extends the RSI to a weighted cumulative RSI, where the weights are derived from mean-variance portfolio optimization. The study’s sample portfolio consists of eight indices from the Tehran Stock Exchange -tse- over the period from 1380 to September 1403 (Islamic calendar), and the optimization of the portfolio is carried out using the Particle Swarm Optimization (PSO) algorithm. The performance of the optimized portfolio indicates that its average daily return is approximately twice the risk-free rate. In contrast, applying the conventional RSI to the portfolio stocks resulted in negative average daily returns and, ultimately, losses.
-اصغری، مهدی؛ یزدانیان، نرگس؛ تبریزیان، بیتا و رهنمای رودپشتی، فریدون. (1403). پیش بینی قیمت سهام بر پایه فاکتورهای بنیادی، تکنیکال و اقتصادی. دانش سرمایهگذاری،13(51)،1-22.
-سیف، سمیرا؛جمشیدی نوید، بابک؛ قنبری، مهرداد , اسماعیل پور، منصور. (1400). پیشبینی روند بورس سهام ایران با استفاده از نوسان نمای موج الیوت و شاخص قدرت نسبی. تحقیقات مالی، (1)23، .134-157
-عباسی، میلاد؛ موسوی، سمیه السادات و جعفری ندوشن، عباسعلی. (1403). شناسایی و ارزیابی قواعد معاملات تکنیکی سودآور در بازار رمزارز با استفاده از روش ترکیبی کیفی-کمی. تحقیقات مالی، (3)26، .509-530
-Ali, R., Singh, P., & Kumar, A. (2024). Technical analysis in emerging markets: Evidence from India. Emerging Markets Review, 15(1), 78-95.
-Ali, R., Singh, P., & Kumar, A. (2023). Integrating RSI with Bollinger Bands for forex trading strategies. Emerging Markets Analysis, 9(4), 112-130..
-Huang, X., Wang, J., & Li, S. (2023). Inegrating technical analysis with deep neural networks for market prediction. AI and Financial Markets, 9(2), 25-39.
-Jose, J., & Varshini, P. (2024). Integrating Technical Indicators and Ensemble Learning for Predicting the Opening Stock Price. International Journal of Information Technology, Research and Applications, 3(2), 1-15.
-Kara, M., Zhang, Y., & Chen, L. (2023). A comparative study of moving averages and Bollinger Bands in predicting stock market trends. Journal of Financial Analysis, 18(3), 45-67.
-Kumar, R., & Patel, V. (2021). Comparative performance analysis of RSI, MACD, and stochastic oscillator. International Journal of Technical Analysis, 8(1), 25-37.
-Lee, H., Park, S., & Kim, J. (2022). Evaluating the effectiveness of RSI in stock market predictions. Journal of Financial Markets, 15(3), 78-92.
-Lee, H., Park, S., & Kim, J. (2023). The effectiveness of stochastic oscillators in neutral markets. Asian Financial Studies, 21(3), 56-70.
-Nguyen, T. H., & Tran, Q. L. (2023). Optimizing RSI for cryptocurrency analysis: A case study on Bitcoin and Ethereum. Crypto Economic Review, 10(2), 45-59.
-Nguyen, H. T., Tran, Q. L., & Pham, D. M. (2022). Efficiency of technical indicators in cryptocurrency markets: A case study of Bitcoin and Ethereum. Crypto Research Journal, 12(5), 89-103.
-Saud, A. S., & Shakya, S. (2024). Technical indicator empowered intelligent strategies to predict stock trading signals. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100398.
-Smith, J., & Johnson, T. (2022). Combining fundamental and technical analysis for better investment decisions. Investment Strategies Quarterly, 7(4), 112-127.
