استخدام نماذج ARIMA-ARCH للتنبؤ بأسعار خام مزيج الصحاري

Other Title(s)

Using ARIMA-ARCH model to predict a price of Saharan blend

Author

مصطفى جاب الله

Source

مجلة الدراسات المالية، المحاسبية و الإدارية

Issue

Vol. 6, Issue 1 (30 Jun. 2019), pp.231-244, 14 p.

Publisher

Université Larbi Ben M'hidi Oum El Bouaghi Laboratoire COFIFAS

Publication Date

2019-06-30

Country of Publication

Algeria

No. of Pages

14

Main Subjects

Economy and Commerce

Topics

Abstract EN

In light of the financial crisis, the oil prices have been severely affected.

although Algeria was not affected by the crisis at the beginning of the result of the huge reserve of hard currency achieved in the past years, specifically through the sale of oil during the sharp rise witnessed by these prices in the past period, appeared to be affected by the crisis and oil prices deteriorated recently and became unstable , this research aims at forecasting the Algerian oil prices in the current year 2018 and the prediction here will be using the time series and we will use arima models here because the variable variable series has not stabilized until after the first difference has been made.

we preferred taking the the arch effect into account in forcasting.

American Psychological Association (APA)

مصطفى جاب الله. 2019. استخدام نماذج ARIMA-ARCH للتنبؤ بأسعار خام مزيج الصحاري. مجلة الدراسات المالية، المحاسبية و الإدارية،مج. 6، ع. 1، ص ص. 231-244.
https://search.emarefa.net/detail/BIM-907804

Modern Language Association (MLA)

مصطفى جاب الله. استخدام نماذج ARIMA-ARCH للتنبؤ بأسعار خام مزيج الصحاري. مجلة الدراسات المالية، المحاسبية و الإدارية مج. 6، ع. 1 (حزيران 2019)، ص ص. 231-244.
https://search.emarefa.net/detail/BIM-907804

American Medical Association (AMA)

مصطفى جاب الله. استخدام نماذج ARIMA-ARCH للتنبؤ بأسعار خام مزيج الصحاري. مجلة الدراسات المالية، المحاسبية و الإدارية. 2019. مج. 6، ع. 1، ص ص. 231-244.
https://search.emarefa.net/detail/BIM-907804

Data Type

Journal Articles

Language

Arabic

Notes

يتضمن مراجع ببليوجرافية : ص. 243-244

Record ID

BIM-907804