Dutch Journal of Finance and Management

Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
Muhammad Ardo Bamanga 1, Samuel Olorunfemi Adams 2 *
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1 Department of Mathematical Sciences, Kaduna State University, Kaduna, Nigeria
2 Department of Statistics, University of Abuja, Abuja, Nigeria
* Corresponding Author
Research Article

Dutch Journal of Finance and Management, 2022 - Volume 5 Issue 1, Article No: 21473
https://doi.org/10.55267/djfm/13340

Published Online: 02 Feb 2023

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How to cite this article
APA 6th edition
In-text citation: (Bamanga & Adams, 2022)
Reference: Bamanga, M. A., & Adams, S. O. (2022). Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method. Dutch Journal of Finance and Management, 5(1), 21473. https://doi.org/10.55267/djfm/13340
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Bamanga MA, Adams SO. Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method. DUTCH J FINANCE MANA. 2022;5(1):21473. https://doi.org/10.55267/djfm/13340
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Bamanga MA, Adams SO. Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method. DUTCH J FINANCE MANA. 2022;5(1), 21473. https://doi.org/10.55267/djfm/13340
Chicago
In-text citation: (Bamanga and Adams, 2022)
Reference: Bamanga, Muhammad Ardo, and Samuel Olorunfemi Adams. "Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method". Dutch Journal of Finance and Management 2022 5 no. 1 (2022): 21473. https://doi.org/10.55267/djfm/13340
Harvard
In-text citation: (Bamanga and Adams, 2022)
Reference: Bamanga, M. A., and Adams, S. O. (2022). Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method. Dutch Journal of Finance and Management, 5(1), 21473. https://doi.org/10.55267/djfm/13340
MLA
In-text citation: (Bamanga and Adams, 2022)
Reference: Bamanga, Muhammad Ardo et al. "Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method". Dutch Journal of Finance and Management, vol. 5, no. 1, 2022, 21473. https://doi.org/10.55267/djfm/13340
ABSTRACT
In Nigeria, the average monthly quantity of currency in circulation (CIC) has increased by 269 billion nairas, reaching 2.13 trillion as of 2019 and 2.41 trillion as of 2020. The current value of currency in circulation is expected to be 2.88 trillion naira. The economy of Nigeria is impacted by the seasonal fluctuations in its currency, and it is unavoidable that the economy would need to be adjusted. The purpose of this study was to adjust the seasonal effect of eight days to Easter and Muslim holidays on CIC, model and predict the CIC in Nigeria using the United State Census Bureau's X-12 ARIMA Seasonal adjustment software. The data utilized in the study was the monthly amount of money in circulation that was taken from the Central Bank of Nigeria (CBN) Bulletin between January 2012 and March 2022. Natural logarithm was used to standardize the data, and series seasonality was removed using seasonal differencing. Based on these data, it is clear that X-12-ARIMA (2 1 1)(0 1 1) is the most accurate forecasting approach for Nigeria's CIC. The money in circulation in Nigeria from April 2022 through December 2022 will rise at a positive rate of 2.8% growth rate each month, with a predicted monthly mean CIC of 3.40 trillion by the end of the year 2022, according to this method's predictions. This is the first study on modeling and forecast of CIC in Nigeria that have utilize the United State Census Bureau X-12-ARIMA software, the findings can be extrapolated to the coming year, Nigerians may want to get ready for an increase in the amount of money in circulation during this time.
KEYWORDS
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