Research Article

An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices

Volume: 4 Number: 2 June 30, 2024
EN

An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices

Abstract

This article introduces a novel approach to forecasting gold prices over an extended period by leveraging a sophisticated stochastic process. Departing from traditional models, our proposed framework accommodates the non-Gaussian and non-homogeneous nature of gold market dynamics. Rooted in the $\alpha$-stable distribution, our model captures time-dependent characteristics and exhibits flexibility in handling the distinctive features observed in real gold prices. Building upon prior research, we present a comprehensive methodology for estimating time-dependent parameters and validate its efficacy through simulations. The results affirm the universality of our stochastic model, showcasing its applicability for accurate and robust long-term predictions in gold prices.

Keywords

Stochastic differential equation, modeling $\alpha$-stable distribution, parameters estimation, forecasting, gold prices, long-term prediction

References

  1. [1] Din, A., Sabbar, Y. and Wu, P. A novel stochastic Hepatitis B virus epidemic model with second-order multiplicative α-stable noise and real data. Acta Mathematica Scientia, 44, 752-788, (2024).
  2. [2] Zhang, G.P. Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing, 50, 159–175, (2003).
  3. [3] Nisar, K.S. and Sabbar, Y. Long-run analysis of a perturbed HIV/AIDS model with antiretroviral therapy and heavy-tailed increments performed by tempered stable Lévy jumps. Alexandria Engineering Journal, 78, 498-516, (2023).
  4. [4] Sabbar, Y., Khan, A., Din, A. and Tilioua, M. New method to investigate the impact of independent quadratic α-stable Poisson jumps on the dynamics of a disease under vaccination strategy. Fractal and Fractional, 7(3), 226, (2023).
  5. [5] Sabbar, Y. Asymptotic extinction and persistence of a perturbed epidemic model with different intervention measures and standard Lévy jumps. Bulletin of Biomathematics, 1(1), 58-77, (2023).
  6. [6] Ru, Y. and Ren, H.J. Application of ARMA model in forecasting aluminum price. in: Applied Mechanics and Materials, Vol. 155, Trans Tech Publ, pp. 66-71, (2012).
  7. [7] Rossen, A. What are metal prices like? Co-movement, price cycles and long-run trends. Resources Policy, 45, 255–276, (2015).
  8. [8] Haque, M.A., Topal, E. and Lilford, E. Iron ore prices and the value of the Australian dollar. Mining Technology, 124(2), 107-120, (2015).
  9. [9] Cortez, C.T., Saydam, S., Coulton, J. and Sammut, C. Alternative techniques for forecasting mineral commodity prices. International Journal of Mining Science and Technology, 28(2), 309-322, (2018).
  10. [10] Lee, J., List, J.A. and Strazicich, M.C. Non-renewable resource prices: Deterministic or stochastic trends?. Journal of Environmental Economics and Management, 51(3), 354–370, (2006).
APA
Coulibaly, B. D., Ghizlane, C., & Khomssi, M. E. (2024). An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices. Mathematical Modelling and Numerical Simulation With Applications, 4(2), 165-192. https://doi.org/10.53391/mmnsa.1416148
AMA
1.Coulibaly BD, Ghizlane C, Khomssi ME. An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices. MMNSA. 2024;4(2):165-192. doi:10.53391/mmnsa.1416148
Chicago
Coulibaly, Bakary D., Chaibi Ghizlane, and Mohammed El Khomssi. 2024. “An Approach to Stochastic Differential Equations for Long-Term Forecasting in the Presence of $\alpha$-Stable Noise: an Application to Gold Prices”. Mathematical Modelling and Numerical Simulation With Applications 4 (2): 165-92. https://doi.org/10.53391/mmnsa.1416148.
EndNote
Coulibaly BD, Ghizlane C, Khomssi ME (June 1, 2024) An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices. Mathematical Modelling and Numerical Simulation with Applications 4 2 165–192.
IEEE
[1]B. D. Coulibaly, C. Ghizlane, and M. E. Khomssi, “An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices”, MMNSA, vol. 4, no. 2, pp. 165–192, June 2024, doi: 10.53391/mmnsa.1416148.
ISNAD
Coulibaly, Bakary D. - Ghizlane, Chaibi - Khomssi, Mohammed El. “An Approach to Stochastic Differential Equations for Long-Term Forecasting in the Presence of $\alpha$-Stable Noise: an Application to Gold Prices”. Mathematical Modelling and Numerical Simulation with Applications 4/2 (June 1, 2024): 165-192. https://doi.org/10.53391/mmnsa.1416148.
JAMA
1.Coulibaly BD, Ghizlane C, Khomssi ME. An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices. MMNSA. 2024;4:165–192.
MLA
Coulibaly, Bakary D., et al. “An Approach to Stochastic Differential Equations for Long-Term Forecasting in the Presence of $\alpha$-Stable Noise: an Application to Gold Prices”. Mathematical Modelling and Numerical Simulation With Applications, vol. 4, no. 2, June 2024, pp. 165-92, doi:10.53391/mmnsa.1416148.
Vancouver
1.Bakary D. Coulibaly, Chaibi Ghizlane, Mohammed El Khomssi. An approach to stochastic differential equations for long-term forecasting in the presence of $\alpha$-stable noise: an application to gold prices. MMNSA. 2024 Jun. 1;4(2):165-92. doi:10.53391/mmnsa.1416148