E-ISSN: 2148-9386
Volume : 10 Issue : 1 Year : 2022


JEMS apply the Creative Commons Attribution NonCommercial 4.0 International Licence to all manuscripts to be published
ABSTRACTING & INDEXING
Understanding the Influencers of Freight Rate Forecasting Accuracy: A Meta-Regression Analysis of the Literature [JEMS Maritime Sci]
JEMS Maritime Sci. 2022; 10(1): 86-95 | DOI: 10.4274/jems.2022.87894

Understanding the Influencers of Freight Rate Forecasting Accuracy: A Meta-Regression Analysis of the Literature

Cemile Solak Fışkın1, Ersin Fırat Akgül2
1Ordu University, Fatsa Faculty of Marine Sciences, Ordu, Turkey
2Bandırma Onyedi Eylül University, Maritime Faculty, Balıkesir, Turkey

Forecasting freight rates has been a topic of discussion for decades. Even though freight rate forecasting is regarded as a critical research topic in shipping, the literature lacks a systematic empirical account of how to obtain more reliable and accurate freight rate forecasts. This study uses meta-regression to synthesize the literature on freight rate forecasting and to test various accuracy influencers. The study confirms that the accuracy of the freight rate forecasts depends significantly on data frequency, forecasting horizon and method, market type, sample size, and the inclusion of explanatory variables.

Keywords: Meta-Analysis, Freight rate, Forecasting, Accuracy, Shipping

Cemile Solak Fışkın, Ersin Fırat Akgül. Understanding the Influencers of Freight Rate Forecasting Accuracy: A Meta-Regression Analysis of the Literature. JEMS Maritime Sci. 2022; 10(1): 86-95

Corresponding Author: Ersin Fırat Akgül, Türkiye
Manuscript Language: English
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