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

study attempts exploring these on freight rate forecasting line aim, this study follows a Meta-Regression methodology provide a comprehensive and systematic review of prior freight rate forecasting studies. Most of the previous literature reviews were based on qualitative analysis and lacked quantitative We organized this paper as follows: Section 2 contains the proposed hypotheses based on the literature on freight rate forecasting models. Section 3 describes the materials and Abstract 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.