Risk management and return trade-offs in gold and silver pair trading : Quantitative approach
*MohammadImran ShaikhCorresponding authorimran15381@gmail.comDepartment of Management S. R. Luthra Institute of ManagementSurat, Gujarat, 395001, India0000-0001-5227-1142View full profile → , Margie Parikhmargieparikh@gmail.comDepartment of Management BK School of Professional & Management Studies Gujarat UniversityGujarat, India0000-0001-8490-1751View full profile → , Pareshkumar A. Davepareshdave.srlim@gmail.comDepartment of Management S. R. Luthra Institute of ManagementSurat, Gujarat, 395001, India0009-0000-8853-3140View full profile → , Pratiksinh S. Vaghelapratiksinh.vaghela20@gmail.comDepartment of Management S. R. Luthra Institute of ManagementSurat, Gujarat, 395001, India0000-0003-2395-4571View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 08 Apr 2025
- Published Online:
- 24 Nov 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JSMS-1504
- Pages:
- 1403–1417
Abstract
Keywords
Subject Classifications
References
[1] V. Kapoor and S. Dey, “A genetic algorithm based decision support system for forecasting security prices in stock index,” Journal of Information and Optimization Sciences, vol. 43, no. 8, pp. 2153–2166 (2022), doi: 10.1080/02522667.2022.2133221.
[2] R. N. Chandrasekharan and N. Baser, “Digital disruptions in commodity trading and risk management: Impact on operational performance of oil and energy trading firms in UAE,” Journal of Information and Optimization Sciences, vol. 45, no. 6, pp. 1787–1806 (2024), doi: 10.47974/JIOS-1765.
[3] M. Mazibas, “Trading gold-silver ratio with machine learning algorithms,” in Proc. World Finance Conf. (Aug. 2022).
[4] O. Groette and H. Samuelsson, Gold-silver chart ratio strategy: Rules and back test (2024).
[5] M. Ingram, Gold and silver trading strategies: RSI explained (2024).
[6] F. Platania, F. Appio, C. T. Hernandez, I. El Ouadghiri, and J. Peillex, “A multi-objective pair trading strategy: Integrating neural networks and cyclical insights for optimal trading performance,” Annals of Operations Research, pp. 1–20 (2023).
[7] O. S. Yaya, A. E. Ogbonna, and A. J. Asaleye, “Gold and silver prices, their stocks, and market fear gauges: Testing fractional cointegration,” Resources Policy, vol. 73, p. 102197 (2021). [Online]. Available: https://doi.org/10.1016/j.resourpol.2021.102197
[8] R. N. Chandrasekharan and N. Baser, “Digital disruptions in commodity trading and risk management: Impact on operational performance of oil and energy trading firms in UAE,” Journal of Information and Optimization Sciences, vol. 45, no. 6, pp. 1787–1806 (2024), doi: 10.47974/JIOS-1765.
[9] A. Ghorbel, Y. Boujelbene, and M. A. Boujelbene, “Spread trading and correlation in portfolio selection: Evidence from oil-importing and oil-exporting countries,” International Journal of Economics and Financial Issues, vol. 4, no. 3, pp. 546–558 (2014).
[10] J. P. Ramos-Requena, F. Úbeda, and M. González, “Pair trading and equal-weighted strategies,” Journal of Risk and Financial Management, vol. 13, no. 12, p. 320 (2020). [Online]. Available: https://doi.org/10.3390/jrfm13120320
[11] D. N. Gujarati, Econometrics by Examples, 1st ed., New York, NY, USA: Palgrave Macmillan (2011).
[12] D. N. Gujarati, D. C. Porter, and S. Gunasekar, Basic Econometrics, 5th ed., New Delhi: McGraw-Hill Education (India) Pvt. Ltd. (2012).
[13] A. Sharma and N. Seth, “Literature review of stock market integration: a global perspective,” Qualitative Research in Financial Markets, vol. 4, no. 1, pp. 84–122 (Apr. 2012).



