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 shipping freight rates has
significant implications for practitioners, economists, and regulators of maritime transport …

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

The past decades have witnessed the rapid development of China's manufacturing industry,
which has established China's status as a manufacturing and trading power. Along with the …

This paper forecasts the daily Baltic Dry Index (BDI) using time series and machine learning
methods. Significant business cycles and freight rate volatility present in the ocean‐going …

Reliable freight rate forecasts are essential to stimulate ocean transportation and ensure
stakeholder benefits in a highly volatile shipping market. However, compared to traditional …

In this article, a method based on empirical mode decomposition (EMD) and artificial neural
networks (ANN) is developed for Baltic Dry Index (BDI) forecasting. The original BDI series is …

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

The shipping market, a major component of the global economy, is characterized by high
risk and volatility. The Baltic dry index is an influential indicator in the world shipping market …

Enhancing the accuracy of freight rate forecasting is crucial when agents in the shipping
industry make their business decisions and strive to avoid or reduce possible risks. Although …