We present, for the first time in the literature, empirical estimates of the supply and demand curves for the ocean-going dry bulk sector, using a three-stage least squares methodology. Furthermore, we augment these functions with sentiment, which appears to have a positive and significant...

We present, for the first time in the literature, empirical estimates of the supply and demand curves for the ocean-going dry bulk sector, using a three-stage least squares methodology. Furthermore, we augment these functions with sentiment, which appears to have a positive and significant...

We propose a strategy to trade a portfolio of listed shipping companies in the US market. In particular, we estimate a cointegrating relationship between the weekly stock market returns of a portfolio of tanker shipping companies and the Baltic Tanker Index, exploiting the close relationship...

We present, for the first time in the literature, empirical estimates of the supply and demand curves for the ocean-going dry bulk sector, using a three-stage least squares methodology. Furthermore, we augment these functions with sentiment, which appears to have a positive and significant...

This paper studies the behaviour of shipping investors following an unexpected shock in the freight rates, while accounting for costs (fuel), and the macro environment (stock prices and trade). The estimates firstly confirm the existence of a long-term relationship between the macroeconomic...

By employing a panel vector autoregressive approach, we show that containership trade is an important determinant ofGDP growth. Using the full sample of sea-transported container boxes of 135 countries for ten years, we provideevidence that the amount of TEUs transported, both contemporaneously...

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 estimate intentional and unintentional herding in the dry-bulk, ocean-going segment that spans from August 1998 to January 2020 and measure how this can impact vessel orders. As the results suggest, while intentional herding has a large effect on the orders of the newbuilding vessels, the...

We employ the vessels that comprise the dry bulk segment of the maritime industry and examine how market sentiment affects the herding behavior of shipping investors in a real asset market. Our results show that the behavioral aspect of investing, measured through intentional and unintentional...

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...