This study applies three innovative methods in forecasting container freight rates. Firstly, we
extracted 471 major disruptive events from the 'Lloyds List'database from 2010 until 2020 …

Understanding the determination mechanism and dynamics of ship** freight rates has
significant implications for practitioners, economists, and regulators of maritime transport …

The paper presents an optimization model and its implementation using a hybrid approach
for the Capacitated Vehicle Routing Problem with Pick-up and Alternative Delivery …

This study introduces a state-of-the-art volatility forecasting method for container ship**
freight rates. Over the last decade, the container ship** industry has become very …

The rapid growth of e-commerce applications has promoted the establishment of ship** e-
commerce channels by many liner companies in addition to their existing traditional Non …

The flourishing development of e-commerce technologies has fostered the rapid
development of ship** e-commerce, which has a huge development potential especially …

This study presents a novel approach to forecast freight rates in container ship** by
integrating soft facts in the form of measures originating from surveys among practitioners …

This study forecasts container freight rates using three seasonal univariate models—
Seasonal Autoregressive Integrated Moving Average (SARIMA), Seasonal Neural Network …

This study proposes a two-tier cross-validation and backtesting procedure, including
expanding and rolling-window test metrics in predictive analytics of container freight rates by …

Major players in maritime business such as ship** lines, charterers, shippers, and others
rely on container freight rate forecasts for operational decision-making. The absence of a …