Forecasting of Sudan Inflation Rates using ARIMA Model

Authors

  • Badreldin Mohamed Ahmed Abdulrahman Jouf University, Ksa University of Zalingei, Sudan
  • Abuzar Yousef Ali Ahmed
  • Abderhim Elshazali Yahia Abdellah

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

JEL Classifications: E17, E31

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Published

2018-05-06

How to Cite

Abdulrahman, B. M. A., Ahmed, A. Y. A., & Abdellah, A. E. Y. (2018). Forecasting of Sudan Inflation Rates using ARIMA Model. International Journal of Economics and Financial Issues, 8(3), 17–22. Retrieved from https://www.econjournals.com/index.php/ijefi/article/view/6314

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Articles