Forecasting of Sudan Inflation Rates using ARIMA Model

Badreldin Abdulrahman, Abuzar Yousef Ali Ahmed and Abderhim Elshazali Yahia Abdellah
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Abuzar Yousef Ali Ahmed: Department of Mathematics, Jeddah University, KSA
Abderhim Elshazali Yahia Abdellah: Department of Business Administration, Jouf University, KSA.

International Journal of Economics and Financial Issues, 2018, vol. 8, issue 3, 17-22

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: E17 E31 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eco:journ1:2018-03-3

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