FORECASTING NIGERIA'S INFLATION RATES (2009–2024) USING SARIMA MODELS

The study evaluated the accuracy and performance of SARIMA Models in Forecasting Inflation Rates. The study applied the Box-Jenkins methodology to build an ARIMA model for forecasting Nigeria's monthly inflation rates from November 2009 to October 2024. The results indicated that the ARIMA (3,2,1) (2,0,1) [12] model provided the best fit for predicting monthly inflation rates in Nigeria. This model was then used to forecast inflation from June 2024 to January 2026. The forecasted results are expected to provide policymakers with valuable insights for designing more effective economic and monetary policies, especially to address the forecasted rise in inflation rates in the first quarter of 2026, assuming all other factors remain unchanged.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-16
DOI
https://doi.org/10.5281/zenodo.17368248
Primary Topic
Forecasting Techniques and Applications
Type
article
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article

FORECASTING NIGERIA'S INFLATION RATES (2009–2024) USING SARIMA MODELS

Zenodo (CERN European Organization for Nuclear Research)
Forecasting Techniques and Applications
article

FORECASTING NIGERIA'S INFLATION RATES (2009–2024) USING SARIMA MODELS

article en

Abstract

The study evaluated the accuracy and performance of SARIMA Models in Forecasting Inflation Rates. The study applied the Box-Jenkins methodology to build an ARIMA model for forecasting Nigeria's monthly inflation rates from November 2009 to October 2024. The results indicated that the ARIMA (3,2,1) (2,0,1) [12] model provided the best fit for predicting monthly inflation rates in Nigeria. This model was then used to forecast inflation from June 2024 to January 2026. The forecasted results are expected to provide policymakers with valuable insights for designing more effective economic and monetary policies, especially to address the forecasted rise in inflation rates in the first quarter of 2026, assuming all other factors remain unchanged.

Zenodo (CERN European Organization for Nuclear Research)
Rivers State University (NG)
Decent work and economic growth
Openalex Percentile: Top 39%
Forecasting Techniques and Applications
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