Forecasting with ARIMA model on External trade of ALgeria
results, we are sure that the ARIMA model takes an important place in predicting problems leading to decision making (Bosq, 1998). In the economy of a country and in order to attain a better growth, modeling and forecasting is the most important tool now, this can be done by one of the statistical technique called a Time series analysis (Brockwell and Davis, 1996). The computer tools and specialized software as well R helps us exploit the theoretical results obtained in this analysis (Belguerna and Benaissa, 2014). In this paper we tried to show how building a ARIMA model for a time series with particular reference of Box and Jenkins approach on annually total External trade of Algeria from the year 1963 to the year 2014 with the free software called R. Validity of the fitted model is tested using standard statistical techniques (Farouki, 2014). The fitted model is then used to forecast some future values of Imports and export of Algeria, Using these techniques a confidence interval is then obtained.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.