The COVID-19 pandemic has augmented pre-existing digitalization and environmental trends. In the maritime industry, one of the marked impacts of the pandemic is how the regard for technology has changed. There is now greater appetite and acceptance of digital solutions across the industry. This study investigates the ways the adoption of a series of digital technologies impact shipping firms’ efficiency, that will shed light on how industry stakeholders may derive value from data solutions, for making better operational decisions. We use cross-country firm-level data to evaluate the efficiency effects of maritime industry-level digital adoption. The results provide robust proof that working in a digitalized ecosystem is a way to promote efficiency, though not to the same extent across shipping firms and divisions. Impacts are relatively stronger in water transport activities than warehousing/support activities for transportation. Digital technologies may add to the growing diffusion in efficiency across shipping firms.

The relationship between trading volume, prices and return volatility is thoroughly investigated in different second-hand dry bulk and tanker market segments. The objective is to gain fruitful insight on the sale and purchase market dynamics, and the sensitivity of vessel price movements following the arrival of new information signals in the shipping markets. Contemporaneous relationships are identified between returns and volume, particularly in the markets of handysize and panamax bulks as well as of handysize and aframax tankers. Price changes are found to have an impact on trading volume indicating that expectations to higher capital gains induce increases in trading activity. Volume appears to have a negative impact on the volatility of price changes mainly in the dry bulk market; this may be due to thin trading, limited transaction transparency and absence of vessel price quotes. The empirical findings can contribute to a better understanding of shipping markets’ microstructure and price volatility dynamics by market participants. This, in turn, can be useful for investors who construct their portfolios of real assets with a view to attain superior capital gains, controlling for the underlying investment risk.

This study employs alternative dynamic volatility models to investigate the risk and return characteristics of a carefully selected sample of shipping stocks, in order to enhance asset allocation opportunities. As private and institutional investors are in search of alternative style investments, the assessment of stock volatility is a critical issue for efficient asset allocation, dynamic portfolio management and firm valuation. The empirical findings indicate a highly volatile profile for shipping stock returns, in line with respective (tanker and dry bulk) earnings. Sectoral and company fundamentals may affect shipping stock volatility, which is found to be sensitive to asymmetric shocks. The results support high portfolio returns for shipping stock portfolios that appear to be superior to standard market benchmarks but are associated with higher risk level.

The European Union (EU) has agreed to gradually include shipping in the EU emissions trading scheme (EU ETS), which makes shipping companies vulnerable to carbon price fluctuations. The aim of this paper is to investigate the effectiveness of carbon and petroleum futures contracts in managing carbon and bunker risks. We examine the effectiveness of alternative hedging methods, including both static and dynamic approaches, to estimate optimal hedge ratios under single and composite cross-hedge settings. Our results show that carbon future contracts are important for hedging the carbon emission allowances price risk, and Brent oil futures are the most effective instrument for out-of-sample hedging of bunker prices. In addition, the hedging effectiveness indicates that conventional methods outperform the sophisticated models in terms of variance reduction. Our study offers new insights into how the carbon and bunker markets relate to a combination hedging in reducing the joint price risk, which can be used to promote risk management in the market.