Freight rates are crucial in the shipping industry, underpinning the operations of shipowners, carriers, and trading companies. Over the past two decades, various studies have aimed to model these rates, employing various approaches to study different sectors of the shipping industry. A research team led by Qing Liu and Luqi Ke at the University of Hamburg presents a new review of these studies, which have important implications for the future of freight rate modelling.

An innovative study reveals how US tariffs on Chinese goods have disproportionately affected low-income American households, challenging the effectiveness of protectionist trade policies. Research from an international team of scholars, Professors Mingzhi Xu at Peking University, Hong Ma at Tsinghua University, Jingxin Ning at UIBE, and Luca Macedoni at Aarhus University, provides compelling evidence for the benefits of free trade and the often-overlooked costs of trade barriers.

Inventory management is a key activity in many organizations. Its performance is often measured by the inventory turnover ratio metric, or ITR for short. This is a key performance indicator that managers are incentivised to improve. However, improper measurement of the ITR metric can cause problems in terms of reliability, comparison, and bias. Professor Benjamin Melamed of Rutgers University has proposed novel formulations of Little’s Law. The traditional Little’s Law is used an as approximation of real-life measurement, whereas Melamed’s versions are exact and robust.