Forecasting Nigerian Inflation: A SARIMAX and Granger Causality Analysis of Exchange Rate and Crude Oil Price Impacts
DOI:
https://doi.org/10.62054/ijdm/0204.14Abstract
Inflation significantly affects Nigeria's purchasing power and economic stability, thus necessitating targeted policy responses. This study assesses the Nigeria's inflation dynamics from 2008 to April 2024, with a focus on the effects of exchange rate volatility and crude oil prices on the inflation dynamics especially across Consumer Price Index (CPI) categories. Using monthly data from the National Bureau of Statistics (NBS) and the Central Bank of Nigeria (CBN), time series decomposition, Granger causality tests, linear regression, and SARIMA/SARIMAX forecasting were employed in the analysis. Results indicate that the exchange rate significantly drives inflation, while crude oil prices have a negligible direct effect. Food CPI was most sensitive to inflationary pressures, whereas communication CPI was least affected. Forecasts suggest a potential decline in inflation in 2025, indicating possible economic stabilization. Recommendations vary from stabilizing the exchange rate, intervening in the foodstuff market, diversifying the economy, investing in the communications sector, and holding policies to bring down inflation and gain sustainable growth.
References
Abdullahi Umar, U., & Umar, A. (2022). Effects of Exchange Rate on Food Inflation in Nigeria: A Non-Linear ARDL Approach. In International Journal of Management and Social Sciences (Vol. 5, Issue 1).
Abdulraheem, A., Muntasir, M., & Shuaibu, N. (2025). FUDMA Journal of Renewable and Atomic Energy (FJoRAE) Evaluating Time Series and Machine Learning Approaches for Forecasting Inflation in Nigeria. 2(1), 42–66. https://doi.org/10.33003/fjorae.2025.0201.04
Ade, M., & Ade, M. (2023). The Role of Exogenous Variables in Time Series Forecasting of Economic Indicators. https://www.researchgate.net/publication/384665221
Adebiyi, M., Adamgbe, E., & Odu, A. (2024). Monetary Policy and Inflation Dynamics in Nigeria: A Bayesian DSGE Approach. Central Bank of Nigeria Journal of Applied Statistics, 1, 153–175. https://doi.org/10.33429/cjas.01024.5/7
Adelekan, G., Abiola, H., & Constance, U. (2020). Modelling and forecasting inflation rate in Nigeria using ARIMA models.
Akosile, F. (2023). Estimating the Determinants of Food Inflation in Nigeria. In Ilorin Journal Of Administration and Development (Vol. 7, Issue 1).
Akwe Ogu, M. (2020). IMPACT OF INFLATION ON ECONOMIC GROWTH IN NIGERIA. https://www.researchgate.net/publication/352120962
Alexander, A. A., Andow, A. H., & Danpome, M. G. (2015). Analysis of the Main Determinants of Inflation in Nigeria. In Research Journal of Finance and Accounting www.iiste.org ISSN (Vol. 6, Issue 2). Online. www.iiste.org
Bawa, S., S. Abdullahi, I., Tukur, D., I. Barda, S., & J. Adams, Y. (2021). Asymmetric Impact of Oil Price on Inflation in Nigeria. Central Bank of Nigeria Journal of Applied Statistics, Vol. 11 No. 2, 85–113. https://doi.org/10.33429/cjas.11220.4/8
Birari, A., Salunkhe, H., Yawalkar, P., & Jamadar, J. (2024, April 5). Predictive Modeling of the IT Index: An In-depth Study Using SARIMAX and Market Indicators. https://doi.org/10.4108/eai.23-11-2023.2343256
Das, P., & Barman, S. (2025). Perspective Chapter: An Overview of Time Series Decomposition and Its Applications. In Applied and Theoretical Econometrics and Financial Crises [Working Title]. IntechOpen. https://doi.org/10.5772/intechopen.1009268
Ding, S., Zheng, D., Cui, T., & Du, M. (2023). The oil price-inflation nexus: The exchange rate pass- through effect. Energy Economics, 125. https://doi.org/10.1016/j.eneco.2023.106828
Gachinamani, M. S. (2017). THE ROLE OF DATA ANALYTICS IN ECONOMIC POLICY MAKING. www.jetir.org
Ibrahim, A., Sani, U. M., & Olokojo, V. O. (2023). FORECASTING CONSUMER PRICE INDEX AND EXCHANGE RATE USING ARIMA MODELS: EMPIRICAL EVIDENCE FROM NIGERIA. FUDMA JOURNAL OF SCIENCES, 6(6), 114–124. https://doi.org/10.33003/fjs-2022-0606-1136
Ifeanyichukwu Ugoh, C., Chinelo Ujunwa, A., Chinwe Urama, T., & Gibson Chiazortam, U. (2021). Ugwu Gibson; Chiazortam (2022) Application of SARIMA Model and Simple Seasonal Exponential Smoothing on Diabetes Mellitus: A Case of Enugu State Teaching Hospital. In European Journal of Statistics and Probability (Vol. 10, Issue 1). https://www.eajournals.org/
Ikue, N. J., Benjamin, O., Onodjaefe, J., Onuosa, C. O., Ajaba, J., & Emeke, N. J. (2024). Asymmetric Exchange Rate Pass-Through and Inflation Rate in Nigeria. International Journal of Research in Business and Social Science (2147- 4478), 13(7), 282–292. https://doi.org/10.20525/ijrbs.v13i7.3693
Liu, Z., Zhu, Z., Gao, J., & Xu, C. (2021). Forecast Methods for Time Series Data: A Survey. IEEE Access, 9, 91896–91912. https://doi.org/10.1109/ACCESS.2021.3091162
Nuhu, M. (2021). Impact of Exchange Rate Volatility on Inflation in Nigeria. Journal of Contemporary Research in Business, Economics and Finance, 3(1), 26–38. https://doi.org/10.33094/26410265.2021.31.26.38
Ogbebor, P. I., Oguntodu, J. A., & Oyinloye, P. O. (2020). INFLATION AND STANDARD OF LIVING IN NIGERIA. In International Journal of Developing Country Studies (Vol. 2, Issue 1). www.carijournals.org
Olaoye, O. O., Omokanmi, O. J., Tabash, M. I., Olofinlade, S. O., & Ojelade, M. O. (2024). Soaring inflation in sub-Saharan Africa: A fiscal root? Quality and Quantity, 58(1), 987–1009. https://doi.org/10.1007/s11135-023-01682-z
Olujobi, O. J., Olarinde, E. S., Yebisi, T. E., & Okorie, U. E. (2022). COVID-19 Pandemic: The Impacts of Crude Oil Price Shock on Nigeria’s Economy, Legal and Policy Options. Sustainability (Switzerland), 14(18). https://doi.org/10.3390/su141811166
Oyadeyi, O. O., Oyadeyi, O. A., & Iyoha, F. A. (2024). Exchange Rate Pass-Through on Prices in Nigeria—A Threshold Analysis. International Journal of Financial Studies, 12(4). https://doi.org/10.3390/ijfs12040101
S. Alimia, A., D. Olaniranb, O., & Ayubac, T. (2020). An Assymetric Evaluation of Oil Price- Inflation Nexus: Evidence from Nigeria. Energy Economics Letters, 7(1), 1–11. https://doi.org/10.18488/journal.82.2020.71.1.11
Sa’ad, S., Usman, A. B., Omaye, S. O., & Yau, H. (2023). Asymmetric Pass-through Effects of Oil Price Shocks and Exchange Rates on Inflation in Nigeria: Evidence from a Nonlinear ARDL Model. European Scientific Journal, ESJ, 19(4), 1. https://doi.org/10.19044/esj.2023.v19n4p1
Sami, S.-I. S. S., & Taiwo, M. (2023). Effect of Crude Oil Prices and Production on the Performance of Nigerian Gross Domestic Product: A Conceptual Framework. Journal of Human Resource and Sustainability Studies, 11(03), 698–711. https://doi.org/10.4236/jhrss.2023.113038
Sawyer, S. F. (2009). Analysis of Variance: The Fundamental Concepts. Journal of Manual & Manipulative Therapy, 17(2), 27E-38E. https://doi.org/10.1179/jmt.2009.17.2.27e
Shehu, E.-R., Abdullahi, B. M., & Mustapha, A. (2023). Inflation Dynamics and Food Prices in Nigeria. Gusau International Journal of Management and Social Sciences, 6(3), 237–255. https://doi.org/10.57233/gijmss.v6i3.13
Shojaie, A., & Fox, E. B. (2021). Granger Causality: A Review and Recent Advances. http://arxiv.org/abs/2105.02675
Taherdoost, H. (2020). Different Types of Data Analysis; Data Analysis Methods and Techniques in Research Projects. In International Journal of Academic Research in Management (IJARM) (Vol. 9, Issue 1). www.elvedit.com
Yusuf, I. A., Salaudeen, M. B., & Ogbuji, I. A. (2022). Exchange Rate Fluctuation and Inflation Nexus in Nigeria: The Case of Recent Recession. Journal of Economic Impact, 4(1), 81–87. https://doi.org/10.52223/jei4012209
Zubair, M. A., Adams, S. O., & Aniagolu, K. S. (2022). Economic Impact of Some Determinant Factors of Nigerian Inflation Rate. Trends Journal of Sciences Research, 1(1), 51–72. https://doi.org/10.31586/ujfe.2022.208
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Copyright (c) 2025 Chijiuka F. Akuma, Pradeep Hewage, Tighe Bren, Chimeremeze V. Amaechi, Amarachi Eche (Author)

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