Shipping freight derivatives: a survey of recent evidence

In an industry that is characterized by highly volatile prices, seasonality, strong business cycles, cyclicality and capital intensiveness, risk management is extremely important. Ship-owners and charterers face enormous risks, which emanate from fluctuations in freight rates, bunker prices, interest rates, foreign exchange rates and vessel values. These risks substantially affect the interplay between revenue and cost. Modern risk management techniques, involve the use of financial derivatives products, some of which have been developed exclusively for protecting (hedging) against the adverse price fluctuations of the aforementioned sources of risk in shipping. By using derivatives products, ship-owners and charterers can secure (stabilize) the level of their future income or costs and thus reduce uncertainty and unforeseen volatility of their cash-flow. To explore the importance of hedging freight rate risk in shipping operations, a survey of recent empirical evidence that has appeared in economic studies has been conducted. Developments over the past 20 years have been fast, with certain amount of research carried, which has helped to understand better the special features of these derivatives markets. They are all summarized in the current study, which can provide the stepping stone for further work in the area of shipping derivatives and risk management in shipping.     

FFA在航运市场风险管理中的应用

随着国际干散货贸易的繁荣和运价波动性的加大,在过去几年里FFA市场也得到较大发展。分析国际干散货航运市场的不确定性,介绍远期运费协议(FFA)的含义及其在国际干散货航运市场中的发展情况,探讨FFA风险管理的作用,最后,面对航运市场较大的波动性,提出中国船东和租家必须学会利用FFA这一新的工具进行风险管理的建议。     

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.     

航运市场运费套期保值方法探讨

分析研究了2种运费套期保值方法远期运价协议和运价指数期货合约，通过典型案例论证了租船人和船东都能利用这2种方法，锁定运费收入或支出，从而规避运价风险的目的；同时对这2种方法进行了分析比较，指出运价指数期货合约具有灵活性且安全的特点，但二者费用有差异，运价指数期货合约需要一定的保证金，实际费用等于经纪人的佣金(通常为0．3％)加上现金保证金的利息。     

Tanker forward freight agreements: the future for freight futures?

Since paper freight-hedging tools were introduced to counter volatile tanker freight rates, the hesitant uptake of tanker Forward Freight Agreements (FFAs) has been attributed to traditional risk seeking propensities amongst tanker owners, naturally reluctant to hedge against risk. To test how far the well-documented generic determinants and incentives for corporate hedging could explain this hesitation in the tanker market, the attitudes of tanker owners and charterers towards freight hedging, risk and perceptions of FFAs, were surveyed. Although FFAs were widely viewed as an important development, some respondents were unaware of their function and a majority had not used them. The link between freight hedging activity and participants' risk aversion was not clear-cut, but with market liquidity critical to raising FFA usage improved technical education is essential to widespread acceptance     

航运市场呼唤中国的航运运价指数期货

随着全球一体化与世界经济的迅猛发展，世界范围内的贸易不断扩大，2000年海运物流量达到58．8亿t^[1]。由于航运价格受到许多因素的影响而变化，它的变化对货主、船东与雇船者带来许多不确定的风险，通过航运运价指数期货可以降低航运业的风险，从而保障航运市场的稳定持续发展。     

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.     

Perceptions of foreign exchange rate risk in the shipping industry

This is an analysis of the impact of exchange rate risk on the performance of major shipping companies from two important maritime nations, Japan and Norway. For the shipping industry, such risk is exacerbated by freight rates fixed in US dollars which must then be converted into numerous other currencies. The appreciation of the Yen against the US dollar has been such that Japanese companies have been impelled to insulate themselves from exchange rate movements by natural hedging. For Norway, where fluctuations of the Krone against the US dollar have been less dramatic, exposure has been maintained, allowing an element of speculation. In both cases the market indicates that exchange rate risk is a significant factor in the determination of corporate performance.     

Perceptions of foreign exchange rate risk in the shipping industry

This is an analysis of the impact of exchange rate risk on the performance of major shipping companies from two important maritime nations, Japan and Norway. For the shipping industry, such risk is exacerbated by freight rates fixed in US dollars which must then be converted into numerous other currencies. The appreciation of the Yen against the US dollar has been such that Japanese companies have been impelled to insulate themselves from exchange rate movements by natural hedging. For Norway, where fluctuations of the Krone against the US dollar have been less dramatic, exposure has been maintained, allowing an element of speculation. In both cases the market indicates that exchange rate risk is a significant factor in the determination of corporate performance.     

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.     

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.     

Are there bubbles in the shipping freight market?

ABSTRACT

This paper addresses the reconsideration of price bubbles specific to the shipping freight market based on the method of the Generalized Supremum Augmented Dickey–Fuller (GSADF). This approach offers the opportunity to recognize multiple bubbles and set their corresponding original and final dates. Empirical results reveal that four bubbles existed in the shipping freight market between October 1988 and February 2018 in which freight deviated from fundamental values. Strong demand (especially in China), the supply capacity, crude oil prices and U.S. dollar fluctuations are potential explanations for the first three bubbles. The global financial crisis that burst in 2008 is the major factor results in the last bubble. Hence, we must distinguish the potential reasons of bubbles in different periods and take measures such as promoting economic multipolarization, strengthening the bargaining power of China, building an effective information transfer system, employing financial derivatives and accelerating the consolidation of the shipping industry to alleviate the negative influences on global seaborne trade.     

Valuation mismatch and shipping q indicator for shipping asset management

ABSTRACT

This paper aims to develop an adaptation of the Tobin Q investment model for the shipping asset management in order to monitor valuation mismatch and bubble pricing of shipping assets. In this circumstance, the market prices of various shipping assets (e.g., Capesize or Panamax dry bulk carriers in different age profiles) are compared to the measured long-term asset value with second-hand ship prices. The mark-to-market prices of shipping assets are led by current market trends and freight rates, while the long-term asset value is estimated by using past data under certain assumptions (mean reversion, trend reversion). The discrepancy between market prices and the long-term nominal value of a shipping asset reflects any mispricing, which in turn sheds light on investment timing and market entry-exit decision.     

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.     

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.     

基于价值链的中海集运公司风险管理

现代海运业具有"高投资、高风险、高收益"的特点.由于风险众多而分散,传统的企业风险管理模式已难以满足现代航运企业对于风险管理的需求.从系统和集成的角度出发,提出了基于Hines价值链的航运企业风险管理模式,将航运企业面临的风险分为企业内部风险、企业间风险、价值链外部风险等3个层次;针对不同层次的风险宜采取不同的风险处理策略,并特别论述了上述3层次风险之间的关联性.作为案例,对中海集运公司的风险管理实践进行了剖析.结论表明,我国航运企业在企业内部风险管理方面已积累了丰富的经验,并开始重视通过企业间合作来削弱企业间风险的影响,但在价值链外部风险上尚乏举措,在风险管理文化的构建上亦有待深化.     

Evaluation of risk attitude in the shipping freight market under uncertainty

ABSTRACT

The main purpose of this study is to examine how market participants take risks, in other words, what their risk attitude/preference is, and how their risk attitude could be related to the shipping freight and other markets. To address them, we calibrated the risk attitude of participants in shipping freight markets from 2007 to 2013, and provided an example of the application of risk attitude. For market participants, risk attitude/preference has an important role in understanding shipping freight markets and managing risks under uncertainty. However, risk attitude is not directly observable. To achieve this, we applied a framework that consists of structural model and calibration with market data. We interpreted risk attitude and confirmed that a structural break occurred around 2008 for the calibrated risk attitude parameter. The average risk attitude of market participants tended to be more risk-averse after 2010. We conducted an additional analysis to provide an example of the application of calibrated risk attitude, using structural equation modeling to calculate a latent variable that reflected other commodity markets. We compared the risk attitude parameter and the latent variable, and clarified the relationship between the risk attitude parameter and commodity markets.     

The modelling of dry bulk and tanker markets: a survey

This paper provides an overview of the development of the quantitative modelling techniques that have been applied to the analysis of dry bulk shipping markets. Of necessity it will be dated by the time it is published. The principal points that emerge from the survey are fourfold: first:-reduced form rather than structural modelling, has become the standard approach in the past 15 years. Second, there is a greater focus on modelling rate variability rather than rate levels, using models that estimate the behaviour of both the conditional mean freight rate and its conditional variance. Third, the introduction of models of financial derivatives and their application to shipping markets has been very marked, as finance models of risk management have been adapted to shipping markets. Fourth, the use of segmented models of different ship types, and higher frequency data is now standard. It is argued that the relative neglect of structural models means that estimating fully specified structural econometric models may be a fruitful research agenda for the future.     

The modelling of dry bulk and tanker markets: a survey

This paper provides an overview of the development of the quantitative modelling techniques that have been applied to the analysis of dry bulk shipping markets. Of necessity it will be dated by the time it is published. The principal points that emerge from the survey are fourfold: first:-reduced form rather than structural modelling, has become the standard approach in the past 15 years. Second, there is a greater focus on modelling rate variability rather than rate levels, using models that estimate the behaviour of both the conditional mean freight rate and its conditional variance. Third, the introduction of models of financial derivatives and their application to shipping markets has been very marked, as finance models of risk management have been adapted to shipping markets. Fourth, the use of segmented models of different ship types, and higher frequency data is now standard. It is argued that the relative neglect of structural models means that estimating fully specified structural econometric models may be a fruitful research agenda for the future.