This study evaluates the predictive performance of four models-Decision Tree, Random Forest, Prophet, and LSTM-in forecasting container freight rates, a key metric for strategic decision-making in the shipping industry. To address data heterogeneity, Min-Max normalization was applied, and the...

Freight transport keeps the world running. In Germany freight transport has grown massively these past 30 years, by 75 %. Its climate-harming emissions are nowadays 25 % higher. Continuously high burdens of air pollution, noise and land consumption represent the downside of freight transport....

We explore the relationship between the returns of 45 dry bulk shipping company stock prices and the main 15 commodities that bulk carriers transport. Using a principal component analysis to reduce the dimensionality of the commodities dataset and a panel methodology, we find that a change in...

The paper describes the contracting and logistics conditions contributing to the level of anchorage in the grain, coal and fertiliser export trades of Vancouver. Increases in the level of anchorage in these trades have created economic, environmental and governance issues. Comparison of the...

The BDI is a barometer of maritime trade, and the shipping trade network may graphically reflect trade pattern evolution. Because commerce influences freight prices, it is worthwhile to consider the influence of maritime network characteristics on freight rates. To begin, this article constructs...