Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/26510
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dc.contributor.authorهدى بن عبيد-
dc.contributor.authorفريد بن ختو-
dc.date.accessioned2021-
dc.date.available2021-
dc.date.issued2021-
dc.identifier.issn1033-2437-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/26510-
dc.descriptionJournal of Quantitative Economics Studiesen_US
dc.description.abstractThis study aims to predict the demand for excellent gasoline at the National Corporation for the Marketing and Distribution of Petroleum Products (Naftal) Hassi Messaoud- - province of fuel – Ouargla - Algeria, using the Box- Jenkins methodology. We used the time series data for excellent gasoline sales in the period (2006.2016) by applying some statistical tests (ADF, PP) to see the stability of the time series. Moreover, we have used Eviews 9.0 and Gretel 2.0 to estimate the monthly sales of excellent gasoline series by forecasting future sales of 12 months of 2017. The results showed that the appropriate model for excellent gasoline sales is SARIMA(0,1,1) (0,1,1) 12 model, and the forecasting follows the path of the original series, which confirms the accuracy and statistical quality of the chosen model and also the power of forecasting.en_US
dc.language.isootheren_US
dc.relation.ispartofseriesNumber 07/2021;-
dc.subjectSales forecastingen_US
dc.subjectexcellent gasolineen_US
dc.subjectNaftal Companyen_US
dc.subjectBox Jenkins Methodologyen_US
dc.subjectSARIMAen_US
dc.titleEconomic analysis to predict the demand for excellent gasoline in Algeriaen_US
dc.title.alternativeA case study of the "NAFTAL" Corporation, Hassi Messaoud - province of fuel – Ouarglaen_US
dc.typeArticleen_US
Appears in Collections:Number 07 /2021

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