MODELING STOCHASTIC ADVERSE EFFECTS OF CBN 2023 REDESIGNED NAIRA NOTES POLICY ON RURAL FARMERS IN NIGERIA

  • Bright Okore Osu Department of Mathematics, Faculty of Physical Sciences, Abia State University, Nigeria
  • Chigozie Chibuisi Department of Insurance, Faculty of Management Sciences, University of Jos, Nigeria https://orcid.org/0000-0002-3174-7751
  • Edikan Edem Akpanibah Department of Mathematics, Faculty of Sciences, Federal University Otuoke, Nigeria
Keywords: Advanced Stochastic Time-Delay Differential Equation, Extended Second Derivative Block Backward Differentiation Formulae Method, Absolute Random Error, Central Bank of Nigeria, Farmers, Nigerian banks

Abstract

The recent Central Bank of Nigeria (CBN) 2023 redesigned naira notes is of good benefits to strengthen the economy of the country by checking counterfeiting and hoarding of large volume of banknotes by the public. Despite all the efforts made by the CBN for citizens to enjoy the benefits of this implementation, most rural farmers were faced with adverse effects of uncertainties in the production and marketing of their agricultural produce due to lack of redesigned new naira notes in circulation. The adverse effects of these uncertainties are modeled as Advanced Stochastic Time-Delay Differential Equation (ASTDDE). The modeled equation is solved using Extended Second Derivative Block Backward Differentiation Formulae Method (ESDBBDFM) without the use of interpolation techniques in the evaluations of the delay term and noise term. In comparing the numerical results of this method with other existing methods in literature, the newly developed mathematical expressions for the evaluations of the delay term and the noise term in solving ASDDEs with the discrete schemes of ESDBBDFM gives better results for step number than step numbers and 3 by producing Least Minimum Absolute Random Error (LMARE) in a Lower Computational Processing Unit Time (LCPUT) faster than other existing methods that applied interpolation techniques in evaluations of the delay term and the noise term.

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References

B. Evelyn, “Introduction to the Numerical Analysis of Stochastic Delay Differential Equations,” ,”Journal of Computational and Applied Mathematics, vol. 125, no. 03, pp. 297–307, 2000.

O. O. Ugbebor, “MATH 352 Probability Distribution and Elementary Limit Theorems,” University of Ibadan, Ibadan, 1991.

C. Adurayemi and O. State, “Cashless policy and its effects on the Nigerian Economy,” Journal of Economics and Financial Studies, vol. 4, no. 2, pp. 81–88, 2016.

“Draft 2017 Annual report, Central Bank of Nigeria,” 2018. Accessed: Nov. 15, 2018. [Online]. Available: ://www.cbn.gov.ng/Out/2018/RSD/CBN%202017%20ANNUAL%20REPORT_WEB.pdf

B. Akhtari, E. Babolian, and A. Neuenkirch, “An Euler Scheme for Stochastic Delay Differential Equations on Unbounded Domains: Pathwise Convergence,” Discrete Contin.Dyn. Syst., Ser.B, vol. 20, no. 1, pp. 23–38, 2015.

H. M. Radzi, Z. A. Majid, and F. Ismail, “Solving Delay Differential Equations by the Five-point One-step Block Method Using Neville’s Interpolation,” International Journal of Computer Mathematics, vol. 90, no. 7, pp. 1459–1470, 2012, [Online]. Available: http://dx.doi.org/10.1080/00207160.754015

B. Akhtari, “Numerical solution of stochastic state-dependent delay differential equations: convergence and stability,” Adv Differ Equ, vol. 2019, no. 1, p. 396, Dec. 2019, doi: 10.1186/s13662-019-2323-x.

B. O. Osu, C. Chibuisi, C. Olunkwa, and C. F. Chikwe, “Evaluation of Delay Term and Noise Term for Approximate Solution of Stochastic Delay Differential Equation without Interpolation Techniques,” Global Journal of Engineering and Technology [GJET], vol. 2, no. 9, pp. 1–19, 2023.

P. Onumanyi, D. O. Awoyemi, S. N. Jator, and U. W. Sirisena, “New Linear Multistep Methods with Continuous Coefficients for First Order Initial Value Problems,” Journal of Nigerian Mathematical Society, vol. 13, no. 3, pp. 37–51, 1994.

J. D. Lambert, Computational Methods in Ordinary Differential Equations. New York, USA: John Willey and Sons Inc, 1973.

G. Dahlquist, “Convergence and Stability in the Numerical Integration of Ordinary Differential Equations,” Math, Scand., vol. 4, no. 5, pp. 33–53, 1956.

C. Chibuisi, B. O. Osu, C. Granados, and O. S. Basimanebotlhe, “A Class of Seventh Order Hybrid Extended Block Adams Moulton Methods for Numerical Solutions of First Order Delay Differential Equations,” Sebha University Journal of Pure & Applied Sciences, (JOPAS), vol. 21, no. 1, pp. 94–105, 2022.

C. Chibuisi, B. O. Osu, C. Olunkwa, S. A. Ihedioha, and S. Amaraihu, “Computational Treatment of First Order Delay Differential Equations Using Hybrid Extended Second Derivative Block Backward Differentiation Formulae,” European Journal of Mathematics and Statistics, vol. 1, no. 1, Dec. 2020, doi: 10.24018/ejmath.2020.1.1.8.

B. O. Osu, C. Chibuisi, G. A. Egbe, and & V. C. Egenkonye, “The Solution of Stochastic Time-Dependent First Order Delay Differential Equations Using Block Simpson’s Methods,” International Journal of Mathematics and Computer Applications Research (IJMCAR), vol. 11, no. 1, pp. 1–20, 2021.

U. W. Sirisena and S. Y. Yakubu, “Solving delay differential equation using reformulated backward differentiation methods,” Journal of Advances in Mathematics and Computer Science, vol. 32, no. 2, pp. 1–15, 2019.

Published
2024-05-25
How to Cite
[1]
B. Osu, C. Chibuisi, and E. Akpanibah, “MODELING STOCHASTIC ADVERSE EFFECTS OF CBN 2023 REDESIGNED NAIRA NOTES POLICY ON RURAL FARMERS IN NIGERIA”, BAREKENG: J. Math. & App., vol. 18, no. 2, pp. 0681-0694, May 2024.