Market efficiency in the bulk freight market revisited

Given that the freight rate is the price of a transportation service that cannot be traded or stored; the traditional form of the efficient market hypothesis (EMH) does not apply to the freight rate price process. However, the notion of market efficiency still applies in the freight market. In particular, under the hypothesis that the market is semi-strong-form efficient, it should not be possible to make excess profit by taking chartering positions in the freight market based on public information such as past levels of the spot freight rate or the shape of the term structure of freight rates. This paper contributes to the literature by proposing an alternative test of market efficiency in the bulk freight market. We utilize technical analysis based on the history of spot freight rates and investigate the profitability of such chartering strategies for a tanker operator. The chartering decisions are based on identification of the peaks and troughs in the freight market cycles using kernel smoothing of the spot freight rate history. The empirical results suggest that a large tanker operator (e.g. a pool) could have achieved significant profits without investing in ships by trading on such information, although this does not hold in the most recent subset of the sample.     

Valuing cargo flexibility in oil transportation

The seaborne oil transportation market is served by two main types of vessels—crude oil tankers and product tankers. Product tankers are designed to move refined oil products, yet they can also opportunistically carry ‘dirty’ products such as crude and heavy fuel oil, subject to the cost of tank cleaning when re-entering the clean products trade. We apply an entry-exit real option model with a stochastic freight rate differential to derive optimal triggers for switching between the two cargo types and estimate the value of the switching option. We show that the value of active switching has grown over time, and generally exceeds the additional construction cost of a product tanker. Our findings are important both from a practical point of view and for our understanding of market integration in the tanker freight market. Specifically, shipowners can use our model as a basis for optimizing chartering policy for clean product tankers. We also show that there are periods where the dirty market is persistently stronger, and discuss the possible reasons for such apparent inefficiencies.     

Discipline in British merchant ships

This paper describes a model which may be used in the evaluation of the relative effectiveness of policies used in the areas of ship chartering and the switching of combined carriers between the dry-cargo market and the tanker market. The policies for chartering and market switiching are expressed in the form of ‘desired proportions’ of the fleet operating in a particular charter-mode or a particular market. Graphical illustration of this form of expression of policies can be easily understood, so that alternative policies can be designed with relative case. The effectiveness of a particular from of policy under various freight market conditions can be determined from the model, the use of which is illustrated by its application to the deployment of the fleet of an hypothetical shipping company. It is assumed that the feedback connection between the company's actions and the market-place is negligible.     

A model for the evaluation of some shipping company decisions

This paper describes a model which may be used in the evaluation of the relative effectiveness of policies used in the areas of ship chartering and the switching of combined carriers between the dry-cargo market and the tanker market. The policies for chartering and market switiching are expressed in the form of 'desired proportions' of the fleet operating in a particular charter-mode or a particular market. Graphical illustration of this form of expression of policies can be easily understood, so that alternative policies can be designed with relative case. The effectiveness of a particular from of policy under various freight market conditions can be determined from the model, the use of which is illustrated by its application to the deployment of the fleet of an hypothetical shipping company. It is assumed that the feedback connection between the company's actions and the market-place is negligible.     

Exploring the link between oil prices and tanker rates

Given the secular and sharp rise in oil prices over the past decade, this study analyses the impact that the spike in oil prices has on tanker rates. We investigate a dynamic model explaining spot tanker rates. The magnitude of the impact of oil prices on the shipping industry, in terms of the level and volatility of spot (voyage) under bull and bear market conditions. The West African–US Gulf Tanker Rates, West Texas Intermediate spot and 3-month futures contract, and US Weekly Petroleum Inventories are analysed using cointegration and Granger causality analysis, from 1997 through 2007, in order to examine the lead–lag relationship between oil prices and tanker freight rates. Our findings show a relationship between spot and future crude oil prices, crude oil inventories and tanker rates. The significant increase of freight rates, and the simultaneous increase in oil prices, during the recent years, provides an intriguing economic environment to identify relationships between shipping market rates and oil prices. These relationships have significant implications for the markets. At the practical level, the better understanding of the relationship between freight rates and crude oil prices can improve operational management and budget planning decisions.     

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Modern management techniques are slowly but surely being introduced aslo in shipping management. Large sections of the industry practises strategic management at various levels in the firm. This paper outlines a method for deciding chartering strategies in the international bulk shipping industry. A well known risk/return model is tailored to transportation contracts in the shipping industry. The model delineates a set of optimally defined transportation contracts that may serve as a basis for the shipowner's strategic decisions. The strategies and elements of strategies suggested by the model have historically been practised by a number of successful shipowners. An important conclusion of the paper is that no second best problems exists and hence movement towarts the optimal solution is advocated even if such a solution cannot or will not be reached. Additionally, the paper provides an organized way of crafting, analysing and applying chartering strategies where the outcomes can be clearly defined and analysed based on well known statistical concepts and theories.     

A portfolio approach to strategic chartering decisions

Modern management techniques are slowly but surely being introduced aslo in shipping management. Large sections of the industry practises strategic management at various levels in the firm. This paper outlines a method for deciding chartering strategies in the international bulk shipping industry. A well known risk/return model is tailored to transportation contracts in the shipping industry. The model delineates a set of optimally defined transportation contracts that may serve as a basis for the shipowner's strategic decisions. The strategies and elements of strategies suggested by the model have historically been practised by a number of successful shipowners. An important conclusion of the paper is that no second best problems exists and hence movement towarts the optimal solution is advocated even if such a solution cannot or will not be reached. Additionally, the paper provides an organized way of crafting, analysing and applying chartering strategies where the outcomes can be clearly defined and analysed based on well known statistical concepts and theories.     

The value of options for time charterparty extension: an artificial neural networks (ANN) approach

The most frequently associated options in the physical shipping market are options to extend the charter period on time charters and additional shipment options on contracts of affreightment. The value of freight options, in practice, is estimated mostly by referring to forward curves. An option on freight has different properties from its financial counterparts, and the straightforward adoption of theoretical models does not produce promising results. In this paper, extension options, which have the property of options on futures, were transformed into regular European options before the application of the Black-Scholes model (BSM). The efficient market hypothesis, which justifies the parity of the performance of a long-term charter to that of repetitive short-term charters, worked as the basis for the transformation. The option values determined by the BSM were compared with actual realized values. Additionally, the artificial neural networks (ANN) was employed to derive the option values. This study is meaningful as the first-time application of both the closed-form solution and the ANN to the valuation of physical freight options. The research results can contribute to the quality of chartering decisions. The results could also be used in quantifying credit risk, as extension options tend to be granted to charterers with more creditability.     

Containerization, inter-port competition, and port selection

This paper explores the criteria shippers employ in the port selection process. By focusing on the containerized traffic between the North American Mid-West and Western Europe, the factors considered by exporters and freight forwarders are examined. The findings suggest that decision-makers are influenced more by price and service considerations of land and ocean carriers than by perceived differences in the ports of entry and exit. Port infrastructures do not appear to play an important role in the routeing decisions made by an important group of independent businesses involved in the North Atlantic container trade.     

Spillover effects and dynamic correlations between spot and forward tanker freight markets

Monitoring and analysing information transmission across different shipping markets is an important tool for participants to predict shipping freight rates, design portfolio investments and manage freight rate risks. The purpose of this article is to investigate spillover effects and dynamic correlations between shipping spot and derivatives markets (tanker forward freight agreement, FFA) under the multivariate generalized autoregressive conditional heteroscedasticity framework. Empirical results show that spillovers in returns are unilateral from one-month FFA to spot markets, while they are bilateral between one-month and two-month FFA markets. However, insignificant mean spillovers between spot and two-month FFA markets are found. Volatility spillover effects among one-month FFA, two-month FFA and spot freight markets are bilateral. By analysing the correlation between different markets, highly persistent and significantly volatile correlations are found. Moreover, time-varying correlations between one-month and two-month FFA markets are much higher than those of between spot and each FFA market. Results from this article will be helpful to improve participants’ predictions of return, volatility and correlation, which are significant for determining hedge strategies. In addition, the management of freight rate risk and portfolio investment can also benefit from the empirical results obtained in this article.     

Combination hedging strategies for crude oil and dry bulk freight rates on the impacts of dynamic cross-market interaction

The fluctuation of freight rates revenue and the fierce volatility of oil cost are two of the most key risk exposures in the shipping industry. However, neglecting the dynamic interrelationship between the cost and the revenue markets leads to the overestimation or underestimation of hedging ratios, which makes the present single hedge strategy less efficient. This paper proposes an optimal combination hedging model for a shipowner trading the derivatives of crude oil and dry bulk freight rates simultaneously with the cross-market economic linkages. We investigate the impacts of spillover transmission, structural breaks, and dynamic conditional correlations (DCCs) on the optimal combination hedging trading. It is found that the significant volatility transmission between oil future and dry bulk forward freight agreements suggests a high dependence of the Capesize sector on the oil fluctuations, which means that the dynamic cross-market interactions have significant impacts on the aggregate risk exposures. Furthermore, the DCCs incorporating structural breaks significantly improve the performance of the combination hedge, which is superior to the two separate hedging strategies. Our study offers new insights into how the freight rates and oil markets relate to a combination hedging, which can be used to promote the risk management in the market.     

The bulk shipping business: market cycles and shipowners’ biases

Despite a strong linkage with the macro-economic course, the bulk shipping market, in the short period, follows a typical cyclic pattern, where continuous freight adjustments balance demand and supply movements.

In this context—widely unstable but quite regular in its general scheme—the shipowners may have enough competencies and information to take logical and consistent decisions about ship purchasing and chartering.

Yet, why do they periodically make mistakes?

The analysis of shipowners’ behaviour provides a reasonable answer: mistakes incur when they ignore or undervalue the market trends, following their personal intuition or even unwisely imitating their competitors.

The analysis of the Handysize segment among the bulk shipping business offers a significant example of the lack of timeliness in shipowners' behaviour: after a long period of disregard, operators began to notice the opportunities of this market niche and they are now heavily investing in minor units. Maybe it's not too late, but the market has already changed and only a few brave—or lucky—shipowners took advantage of the magic moment.     

The bulk shipping business: market cycles and shipowners' biases

Despite a strong linkage with the macro-economic course, the bulk shipping market, in the short period, follows a typical cyclic pattern, where continuous freight adjustments balance demand and supply movements.

In this context—widely unstable but quite regular in its general scheme—the shipowners may have enough competencies and information to take logical and consistent decisions about ship purchasing and chartering.

Yet, why do they periodically make mistakes?

The analysis of shipowners' behaviour provides a reasonable answer: mistakes incur when they ignore or undervalue the market trends, following their personal intuition or even unwisely imitating their competitors.

The analysis of the Handysize segment among the bulk shipping business offers a significant example of the lack of timeliness in shipowners' behaviour: after a long period of disregard, operators began to notice the opportunities of this market niche and they are now heavily investing in minor units. Maybe it's not too late, but the market has already changed and only a few brave—or lucky—shipowners took advantage of the magic moment.     

Dynamics and interactions between spot and forward freights in the dry bulk shipping market

Analyzing the interactions between spot and forward freight agreement (FFA) prices in the dry bulk shipping is important as they play a significant role for shipping companies to secure their profits and avoid potential risks in the volatile market. By applying the vector autoregression (VAR) and the vector error correction model (VECM), this paper identifies the long-run and mutual causal relationship between the spot and FFA prices on the BPI T/C and BCI C7 routes. Along with these cointegrating rates, exogenous factors such as the market demand and supply and some economic indices are also recognized as contributing variables for the dynamic movement of the spot and FFA prices. Importantly, the mean-reverting process is justified on both routes with different mechanisms. When the spot and FFA prices deviate from their equilibrium level in the short run, they will be adjusted to their long-run equilibrium more directly and clearly on the BPI T/C route than those on the BCI C7 route. It also indicates that this adjusting power has direction and size asymmetries on both routes. In addition, the impulse analysis indicates that the spot rate is more volatile than its corresponding FFA prices confronting innovations. The results of this study provide a reference to the participants in the dry bulk shipping market on the causes of fluctuation in spot and FFA prices and their interactions, which can be used to promote the risk management in the market.     

A new perspective on price dynamics of the dry bulk market

The main result of this article is that freight rates and second hand prices in the dry bulk market seem to be stationary. By unit-root tests, an established tool for testing for random walk in economic time series, the random walk hypothesis can be rejected in most cases for the freight rate samples. This result is in contrast to the findings of a number of papers during the 1990s. However, the results confirm classical shipping market models that indicate stationarity in freight rates, which is not the case if the freight rates follow a random walk. By transforming all observations from US$ to Japanese yen detrended freight rates and prices seem to become stationary and volatility is reduced.     

A new perspective on price dynamics of the dry bulk market

The main result of this article is that freight rates and second hand prices in the dry bulk market seem to be stationary. By unit-root tests, an established tool for testing for random walk in economic time series, the random walk hypothesis can be rejected in most cases for the freight rate samples. This result is in contrast to the findings of a number of papers during the 1990s. However, the results confirm classical shipping market models that indicate stationarity in freight rates, which is not the case if the freight rates follow a random walk. By transforming all observations from US$ to Japanese yen detrended freight rates and prices seem to become stationary and volatility is reduced.     

On the nature and sorces of controversy in the economic analysis of the liner shipping industry†

The simulations performed show that demand for quality tankers has to increase by 30% for a two-tier tanker market to emerge. The two-tier freight structure will only last for 3–5 years due to contracting induced by higher freight rates. This means that OPA does not by itself result in higher freight rates for tankers that comply with the requirements. If Western Europe also closes their trades to substandard tankers, a two-tier market emerges and quality tankers obtain a premium. The paper presents a simulation model for international tanker markets. The non-linear complementary equilibrium model solves for a sequence of static equilibria in segmented tanker freight markets, shipbuilding and scrapping markets. Freight markets are segmented according to quality requirements for tankers. The model specifies three tanker classes and one—quality tankers—can operate both market segments.     

An econometric analysis for container shipping market

This article presents an econometric analysis for the fluctuation of the container freight rate due to the interactions between the demand for container transportation services and the container fleet capacity. The demand is derived from international trade and is assumed to be exogenous, while the fleet capacity increases with new orders made two years before, proportional to the industrial profit. Assuming the market clears each year, the shipping freight rate will change with the relative magnitude of shifts in the demand and fleet capacity.

This model is estimated using the world container shipping market statistics from 1980 to 2008, applying the three-stage least square method. The estimated parameters of the model have high statistical significance, and the overall explanatory power of the model is above 90%. The short-term in-sample prediction of the model can largely replicate the container shipping market fluctuation in terms of the fleet size dynamics and the freight rate fluctuation in the past 20 years. The prediction of the future market trend reveals that the container freight rate should continue to decrease in the coming three years if the demand for container transportation services grows at less than 8%.     

Maritime investment strategies with a portfolio of real options

The maritime industry operates in a dynamic global environment subject to a great number of variables. In this context, the investment challenge facing shipowners is correctly to value alternate mutually exclusive investment strategies before proceeding with confidence to commit to a project which will add the greatest value to the firm. To survive in the competitive market environment shipping companies must be flexible. Companies that rely solely on traditional discounted cash flow analysis may be underestimating the true value of their investment by not valuing any embedded real options specifically. To avoid misallocation of resources, the true value of these embedded options (strategies) should be recognised and quantified where possible for inclusion in the capital budgeting process. Using real options analysis, (ROA), as a development of the financial pricing advances of the 1970s, flexibility is valued like a financial option using non-arbitrage and added to the present value of the original strategy to derive the present value of the flexible strategy. The more uncertainty (risk) present, the greater will be the value of the real options. Similarly, the larger the shipowner's portfolio of options (strategies) from which to choose, the greater will be the valuation of the project. Real options give the shipowner the flexibility to exchange one risky income stream associated with one strategy for that of another. The analysis shows that if managers have the flexibility of more than one embedded option (in this paper, a European put associated with a replacement investment and an option on the maximum of two operating strategies, trading or chartering out) then the project will have greater value than if the there was no choice or if it was limited to one or the other strategy. Sensitivity analysis extends the analysis to demonstrate that if the volatilities of the risky income streams are highly correlated then the additional value of this flexibility will diminish.