Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method

Detalhes bibliográficos
Autor(a) principal: Bamanga, Muhammad Ardo
Data de Publicação: 2023
Outros Autores: Adams, Samuel Olorunfemi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/45247
https://doi.org/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
https://doi.org/10.55267/djfm/13340
Resumo: 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.
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spelling Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average MethodCBNCurrency in circulationMoney SupplySeasonalitySeasonal AdjustmentX-12 ARIMAIn 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.info:eu-repo/semantics/publishedVersionIADITI Editions2023-06-20T16:21:49Z2023-06-202023-06-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10400.26/45247https://doi.org/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/13340http://hdl.handle.net/10400.26/45247https://doi.org/10.55267/djfm/13340eng2542-4750https://www.djfm-journal.com/article/predictive-modeling-of-nigerias-currency-in-circulation-using-x-12-autoregressive-integrated-moving-13340http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessBamanga, Muhammad ArdoAdams, Samuel Olorunfemireponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-06-24T06:25:14Zoai:comum.rcaap.pt:10400.26/45247Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:01:26.743995Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
title Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
spellingShingle Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
Bamanga, Muhammad Ardo
CBN
Currency in circulation
Money Supply
Seasonality
Seasonal Adjustment
X-12 ARIMA
title_short Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
title_full Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
title_fullStr Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
title_full_unstemmed Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
title_sort Predictive Modeling of Nigeria’s Currency in Circulation Using X-12 Autoregressive Integrated Moving Average Method
author Bamanga, Muhammad Ardo
author_facet Bamanga, Muhammad Ardo
Adams, Samuel Olorunfemi
author_role author
author2 Adams, Samuel Olorunfemi
author2_role author
dc.contributor.author.fl_str_mv Bamanga, Muhammad Ardo
Adams, Samuel Olorunfemi
dc.subject.por.fl_str_mv CBN
Currency in circulation
Money Supply
Seasonality
Seasonal Adjustment
X-12 ARIMA
topic CBN
Currency in circulation
Money Supply
Seasonality
Seasonal Adjustment
X-12 ARIMA
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-20T16:21:49Z
2023-06-20
2023-06-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/45247
https://doi.org/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
http://hdl.handle.net/10400.26/45247
https://doi.org/10.55267/djfm/13340
url http://hdl.handle.net/10400.26/45247
https://doi.org/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
https://doi.org/10.55267/djfm/13340
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2542-4750
https://www.djfm-journal.com/article/predictive-modeling-of-nigerias-currency-in-circulation-using-x-12-autoregressive-integrated-moving-13340
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IADITI Editions
publisher.none.fl_str_mv IADITI Editions
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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