We employ a Bayesian Vector Autoregressive methodology, to counter the issue of data availability, and explore the relationship between seaborne commodity trade and freight rates. Our results show three important insights: first and foremost, the quantity of seaborne commodity trade has a strong...

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...

Consumer inflation across the globe has rebounded during 2021, also as a result of supply side disruptions, one of which is the increase in freight costs. To elaborate on the relationship between inflation and shipping costs, we employ a Vector Error Correction Model (VECM) and use disaggregated...

We employ a cointegration setup to explore route-specific off-equilibrium deviations related to Covid-19 that have affected clean (petroleum products) and dirty (crude oil) tanker freight rates, over and above the expected macroeconomic reactions. We find that the additional deviation caused by...

We explore, for the first time in the literature, how the revenues of ship management companies respond to macroeconomic exogenous shocks. Using data for ship-management companies in Cyprus, we find evidence that a demand shock has the largest impact on revenues, exhibiting an almost one-for-one...

In the current study, we examine, for the first time in the literature, the impact of exogenous effects in the shipping industry by employing data from the recent COVID-19 pandemic outbreak and explore the reactions of freight rates for dry bulk, clean, and dirty tankers. Our results, using both...