Прогнозирование индекса потребительских цен в Сьерра-Леоне: применение методологии ARIMA Box Jenkins

The Consumer Price Index (CPI) serves as a crucial measuring tool for informing sound economic and monetary policies in developing countries like Sierra Leone, where inflation poses a significant challenge. The data used in this study comprises the quarterly time series data of Sierra Leone from 2008Q1 to 2024Q2. The study implemented the Box- Jenkins approach, the ARIMA methodology, which yielded highly contingent findings. In Sierra Leone, inflation was found to be extremely volatile due to external shocks, local economic conditions, and international commodity prices. The analysis also revealed that inflation for 2025Q4 is expected to reach 15.82 %, recovering from the projection of 53.6 % in 2023Q4. This prediction was generated using the most accurate model, ARIMA (1,1,9). Despite this potential improvement, uncertainty surrounding future inflation remains high, indicating the need for comprehensive policy interventions. The results suggest that there is a need for aggressive monetarist countermeasures, enhanced local production, and future restructuring of the nation’s economy to stabilize inflation

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SibFU Digital Repository (Siberian Federal University)
Published
2025-12-01
Primary Topic
Financial Analysis and Corporate Governance
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article

Прогнозирование индекса потребительских цен в Сьерра-Леоне: применение методологии ARIMA Box Jenkins

Foday Daboh, Фоде Дабо
SibFU Digital Repository (Siberian Federal University)
Financial Analysis and Corporate Governance
article

Прогнозирование индекса потребительских цен в Сьерра-Леоне: применение методологии ARIMA Box Jenkins

Foday Daboh, Фоде Дабо
article en

Abstract

The Consumer Price Index (CPI) serves as a crucial measuring tool for informing sound economic and monetary policies in developing countries like Sierra Leone, where inflation poses a significant challenge. The data used in this study comprises the quarterly time series data of Sierra Leone from 2008Q1 to 2024Q2. The study implemented the Box- Jenkins approach, the ARIMA methodology, which yielded highly contingent findings. In Sierra Leone, inflation was found to be extremely volatile due to external shocks, local economic conditions, and international commodity prices. The analysis also revealed that inflation for 2025Q4 is expected to reach 15.82 %, recovering from the projection of 53.6 % in 2023Q4. This prediction was generated using the most accurate model, ARIMA (1,1,9). Despite this potential improvement, uncertainty surrounding future inflation remains high, indicating the need for comprehensive policy interventions. The results suggest that there is a need for aggressive monetarist countermeasures, enhanced local production, and future restructuring of the nation’s economy to stabilize inflation

SibFU Digital Repository (Siberian Federal University)
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Прогнозирование индекса потребительских цен в Сьерра-Леоне: применение методологии ARIMA Box Jenkins — Foday Daboh, Фоде Дабо · SibFU Digital Repository (Siberian Federal University) (2025) | TGRS Research Map | TGRS