Modelling Monthly Headline Consumer Price Index (HCPI) through Seasonal Box-Jenkins Methodology

Modelling Monthly Headline Consumer Price Index (HCPI) through Seasonal Box-Jenkins Methodology

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Author(s)

Author(s): Emerson Abraham Jackson, Edmond Tamuke, Abdulai Sillah

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DOI: 10.18483/ijSci.1507 149 425 51-56 Volume 7 - Jan 2018

Abstract

In this empirical work, cognisance has been given to providing a review of literature on the seasonal Box-Jenkins modelling, particularly with reference to a univariate model. Seasonal pattern of Headline Consumer Price Index (HCPI) has been produced for Sierra Leone and with EVIEWS making use of best model selection of (6,0)(0,0). Data were seasonally adjusted with iteration and sufficient diagnostic test outcomes showing that forecast using Static method yielded best outcome, with Year-on-Year inflation over the three monthly period forecasted outcomes. The correlogram of the resultant series revealed very stable outcome of the results, while MAPE for the forecast evaluation revealing marginal error for the outcome, indicating that the model is quite adequate with the chosen methodology.

Keywords

ARIMA Model, HCPI, Time Series, Sierra Leone

References

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International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

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