Using models Box-Jenkins ARIMA forecasting of The exchange rate of the dollar against the Algerian dinar

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DC Field	Value	Language
dc.contributor.author	وليد بشيشي	-
dc.contributor.author	سليم مجلخ	-
dc.contributor.author	حمزة بعلي	-
dc.date.accessioned	2019-01-06T14:39:37Z	-
dc.date.available	2019-01-06T14:39:37Z	-
dc.date.issued	2019-01-06	-
dc.identifier.issn	5302/2392	-
dc.identifier.uri	http://dspace.univ-ouargla.dz/jspui/handle/123456789/20065	-
dc.description	Algerian Review of Economic Development ( ARED )	en_US
dc.description.abstract	This research includes a study of Box - Jenkins ARIMA models for The forecasting of The exchange rate of the dollar against the Algerian dinar. These models are used to build a model of the time series and Then choose the best model to predict values for future electricity production with practical application The exchange rate of the dollar against the Algerian dinar for 4 years time series (i.e. 52 months) using statistical software EVIEWS AND SPSS, The best model was ARIMA(2,1,4) from performance of predict methods	en_US
dc.language.iso	other	en_US
dc.relation.ispartofseries	Number 09 Dec 2018;	-
dc.subject	exchange rate	en_US
dc.subject	forecasting	en_US
dc.subject	Autoregressive moving average	en_US
dc.subject	Box –Jenkins	en_US
dc.title	Using models Box-Jenkins ARIMA forecasting of The exchange rate of the dollar against the Algerian dinar	en_US
dc.type	Article	en_US
Appears in Collections:	Number 09 Déc 2018

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