Sains Malaysiana 55(4)(2026): 746-755

http://doi.org/10.17576/jsm-2026-5504-13

 

 Kaedah Pengenduran Berlebihan Berturut-Turut Merah-Hitam Bagi Penentuan Harga Opsyen Asia Aritmetik

(A Red-Black Successive Over-Relaxation Method for Arithmetic Asian Option Pricing)

 

WEI SIN KOH1,2, SAIFUL HAFIZAH JAAMAN1,*, ROKIAH ROZITA AHMAD1 & JUMAT SULAIMAN3

 

1Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia

2Faculty of Business and Communications, INTI International University, 71800 Nilai, Negeri Sembilan, Malaysia

3Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88450 Kota Kinabalu, Sabah, Malaysia

 

Received: 20 March 2026/Accepted: 17 April 2026

 

Abstrak

Penentuan harga opsyen Asia aritmetik merupakan masalah yang mencabar dalam matematik kewangan kerana tiada penyelesaian bentuk tertutup wujud. Dalam kajian ini, kaedah lelaran Pengenduran Berlebihan Berturut-turut Merah–Hitam (RBSOR) dibangunkan untuk penyelesaian berangka bagi penentuan harga opsyen Asia aritmetik. Model penentuan harga yang ditadbir oleh persamaan pembezaan separa (PPS) Black–Scholes didiskretkan menggunakan Skema Beza Terhingga Crank–Nicolson yang menghasilkan suatu sistem persamaan linear. Seterusnya, kaedah lelaran RBSOR diaplikasikan untuk menyelesaikan sistem linear yang terhasil dengan cekap. Beberapa uji kaji berangka dijalankan dan keputusan yang diperoleh dibandingkan dengan kaedah lelaran Gauss–Seidel (GS), Pengenduran Berlebihan Berturut-turut (SOR) dan Gauss–Seidel Merah–Hitam (RBGS). Prestasi penghitungan dinilai berdasarkan bilangan lelaran, masa penghitungan dan ralat punca min kuasa dua (RMSE). RMSE digunakan untuk menilai kejituan setiap kaedah lelaran melalui perbandingan antara keputusan kaedah berangka dan kaedah analitik. Keputusan kajian menunjukkan bahawa kaedah RBSOR mencapai kejituan yang setanding sambil mengurangkan bilangan lelaran dan masa penghitungan dengan ketara, sekali gus membuktikan kecekapan kaedah ini dalam penentuan harga opsyen secara berangka.

Kata kunci: Kaedah SOR Merah-Hitam; kecekapan sumber; opsyen Asia aritmetik; PPS Black Scholes; skema Crank-Nicolson

 

Abstract

The valuation of arithmetic Asian options is a challenging problem in financial mathematics due to the absence of a closed-form solution. In this study, the Red–Black Successive Over-Relaxation (RBSOR) method is developed for the numerical solution of arithmetic Asian option pricing. The pricing model, governed by the Black–Scholes partial differential equation (PDE), is discretized using the Crank–Nicolson finite difference scheme, resulting in a system of linear equations. The RBSOR iterative method is then applied to efficiently solve the resulting linear system. Several numerical experiments are conducted, and the results are compared with those obtained using Gauss–Seidel (GS), Successive Over-Relaxation (SOR), and Red–Black Gauss–Seidel (RBGS) iterative methods. Computational performance is evaluated in terms of number of iterations, computational time, and root mean squared error (RMSE). RMSE is used to evaluate the accuracy of each iterative method by comparing the numerical results with the analytical solution. The findings demonstrate that the RBSOR method achieves comparable accuracy while significantly reducing iteration counts and computational time, indicating its computational efficiency for numerical option pricing.

Keywords: Arithmetic Asian option pricing; Black-Scholes PDE; Crank-Nicolson scheme; Red-Black SOR method; resource efficiency

REFERENCES

Chapra, S. & Canale, R. 2020 Numerical Methods for Engineers. 8th ed. New York: McGaw-Hill.

Elshegmani, Z.A. 2013. Analytical solution of the arithmetic Asian option partial differential equation using several transformation methods. Tesis PhD, Universiti Kebangsaan Malaysia (tidak diterbitkan).

Elshegmani, Z.A. & Ahmad, R.R. 2013. Solving an Asian option PDE via the laplace transform. ScienceAsia 39(1): 67-69.

Elshegmani, Z.A., Ahmad, R.R., Jaaman, S.H. & Zakaria, R.H. 2011. Transforming arithmetic Asian option PDE to the parabolic equation with constant coefficients. International Journal of Mathematics and Mathematical Sciences 2011.

Gan, L., Wang, H. & Yang, Z. 2020. Machine learning solutions to challenges in finance: An application to the pricing of financial products. Technological Forecasting and Social Change 153: 119928.

Hull, J.C. & Basu, S. 2016. Options, Futures, and Other Derivatives. Bengaluru: Pearson Education India.

Johnson, B., Thomas, S. & Sheeba, R.J. 2020. A high-performance dense optical flow architecture based on Red-Black SOR solver. Journal of Signal Processing Systems 92: 357-373.

Koh, W.S., Ahmad, R.R., Jaaman, S.H. & Sulaiman, J. 2019. Pricing Asian option by solving Black–Scholes PDE using Gauss–Seidel method. Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) Transcending Boundaries, Embracing Multidisciplinary Diversities. Springer Singapore. hlm. 147-152.

Koh, W.S., Ahmad, R.R., Jaaman, S.H. & Sulaiman, J. 2023. Development of Red-Black Gauss-Seidel algorithm for efficiently pricing fixed strike Asian options based on arithmetic average. International Journal of Engineering Trends and Technology 71(11): 181-189.

Kola, K., Thulasiram, R.K. & Thulasiraman, P. 2009. A software architecture framework for on-line option pricing. The Journal of Supercomputing 47: 146-170.

Lee, T.Y. & Chin, S.T. 2010. A simple crank-Nicolson scheme for Asian option. The 6th IMT-GT Conference on Mathematics, Statistics and its Applications (ICMSA2010), Kuala Lumpur, Malaysia, 3-4 November 2010. hlm. 381-394.

Liu, J.T., Ma, Z.S., Li, S.H. & Zhao, Y. 2011. A GPU accelerated Red-Black SOR algorithm for computational fluid dynamics problems. Advanced Materials Research 320: 335-340.

Li, R., Gong, L. & Xu, M. 2020. A heterogeneous parallel Red-Black SOR technique and the numerical study on SIMPLE. The Journal of Supercomputing 76: 9585-9608.

Rogers, L.C.G. & Shi, Z. 1995. The value of an Asian option. Journal of Applied Probability 32(4): 1077-1088.

Riaz, M.B., Ansari, A.R., Jhangeer, A., Imran, M. & Chan, C.K. 2023. The fractional soliton wave propagation of non-linear volatility and option pricing systems with a sensitive demonstration. Fractal and Fractional 7(11): 809.

Yavneh, I. 1996. On red-black SOR smoothing in multigrid. SIAM Journal on Scientific Computing 17(1): 180-192.

Young, D.M. 1971. Iterative Solution of Large Linear Systems. New York: Academic Press.

Zhang, J. 1996. Acceleration of five-point red-black Gauss–Seidel in multigrid for poisson equation. Applied Mathematics and Computation 80(1): 73-93.

 

*Corresponding author; email: shj@ukm.edu.my

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

previous next