Forecasting of Sudan Inflation Rates using ARIMA Model

Badreldin Mohamed Ahmed Abdulrahman, Abuzar Yousef Ali Ahmed, Abderhim Elshazali Yahia Abdellah


This Study forecasted the inflation rates in Sudan. Annual time series data for the period 1970-2016 has been used in the analysis, by using Box-Jenkins method and ARIMA model. Data were obtained from Central Bureau of Statistics in Sudan. The results showed that, there is a convergence between predictive values and actual values during the period (1970-2016). Hence, there inflation rates in Sudan will increase in the coming years (2017-2026).

Keywords: Inflation, Box-Jenkins, ARIMA, Model, Forecasting

JEL Classifications: E17, E31

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