Forecasting the China Container Freight Index with Ensemble Models

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JOEEP: Journal of Emerging Economies and Policy
Volume:8 Issue:2
Forecasting the China Container Freight Index with Ensemble Models

Forecasting the China Container Freight Index with Ensemble Models

Authors : Tolga Tuzcuoğlu, Hüseyin Gencer

Pages : 416-423

View : 65 | Download : 150

Publication Date : 2023-12-30

Article Type : Research Paper

Abstract :Stakeholders in the sector need to be able to predict how freight rates will change in container transportation. For the first time in the literature, this study presents aggregate time series models for the prediction of CCFI (China Container Freight Index), one of the most critical indicators showing the change of freight rates in container shipping. The study results show that the models provide promising results in forecasting CCFI and can be used as an essential decision support system.
Keywords : Navlun Endeksi Tahmini, Toplu Modeller, Finansal Tahminleme

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