The Forecasting of the Exports and Imports of Paper and Paper Products of Turkey Using Box-Jenkins Method
Yazarlar (3)
Doç. Dr. Nadir Ersen Artvin Çoruh Üniversitesi, Türkiye
Dr. Öğr. Üyesi İlker Akyüz Karadeniz Teknik Üniversitesi, Türkiye
Doç. Dr. Bahadır Çağrı BAYRAM Kastamonu Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
Dergi Adı Eurasian Journal of Forest Science
Dergi ISSN 2147-7493
Dergi Tarandığı Indeksler TR DİZİN
Makale Dili İngilizce Basım Tarihi 01-2019
Cilt / Sayı / Sayfa 7 / 1 / 54–65 DOI 10.31195/ejejfs.502397
Makale Linki http://dergipark.gov.tr/doi/10.31195/ejejfs.502397
Özet
In this study, it is aimed to determine the most suitable time series models with Box-Jenkins method, which is the most widely used in prediction studies. Export and import values have been predicted by 2020 with the most suitable models. The data used in this study were obtained from the Turkey Statistical Institute. Data are monthly data covering from January 2003 to December 2014. Sum of Squared Errors (SSE) and Mean Squared Error (MSE) criteria were taken into consideration when selecting the best Box-Jenkins models. Also, in order to test the success of forecasting of the models, Root mean Error Square (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) were used. As a result of the analyzes, it was determined that the most suitable models for export and import data were ARIMA (2,1,0) (0,0,1) 12 and ARIMA(3,1,2)(1,0,1) 12 . It was predicted that the rate of exports meeting imports in paper and paper products of Turkey will be approximately 0.86 in 2020.
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