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Forecasting of Sudan Inflation Rates using ARIMA Model

Author

Listed:
  • Badreldin Mohamed Ahmed Abdulrahman

    (Department of Business Administration, Jouf University, KSA,)

  • Abuzar Yousef Ali Ahmed

    (Department of Mathematics, Jeddah University, KSA)

  • Abderhim Elshazali Yahia Abdellah

    (Department of Business Administration, Jouf University, KSA.)

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).

Suggested Citation

  • Badreldin Mohamed Ahmed Abdulrahman & Abuzar Yousef Ali Ahmed & Abderhim Elshazali Yahia Abdellah, 2018. "Forecasting of Sudan Inflation Rates using ARIMA Model," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 17-22.
    • Handle: RePEc:eco:journ1:2018-03-3
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    Cited by:

    1. Khondokar Jilhajj, 2023. "Forecasting Lending Interest Rate and Deposit Interest Rate of Bangladesh Using the Autoregressive Integrated Moving Average Model," International Journal of Economics and Financial Issues, Econjournals, vol. 13(3), pages 169-177, May.

    More about this item

    Keywords

    Inflation; Box-Jenkins; ARIMA; Model; Forecasting;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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