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.     

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.     

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.     

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.     

Return lead–lag and volatility transmission in shipping freight markets

This study investigates the return lead–lag and volatility transmission between dry bulk shipping and container shipping freight markets over the period before, during and after the 2008 financial tsunami. Both cointegration analysis and the Granger causality test are applied to explore the lead–lag relationship between the Baltic dry index (BDI) and the China containerized freight index (CCFI). Besides, in the study we employed GARCH–BEKK model, which allows for transmission in freight volatility. On the whole, the empirical results show that the BDI reflects the economic climate earlier than the CCFI during the financial tsunami, whereas the CCFI leads the BDI after the financial tsunami. The price formation hypothesis could well explain the relationship. Moreover, volatility spillovers are found in most subperiods. The dynamics of the conditional volatilities differ, but causality links in the variance are found to be strong and bidirectional in normal periods, and unidirectional during the financial tsunami. Therefore, the occurrence of the financial tsunami could be regarded as an interference factor.     

Liner shipping industry sets sail with full speed

The article presents the past and current trends in liner shipping and stresses that in a near future, the market will benefit from five main factors: the robust shipping surrounding from international trade; the structural change in industrial relocation; the China factor; the increase in ship-owners’ profitability and lastly the liberalisation of markets and of the shipping industry that will generate new opportunities. At the same time, the article also sheds light on factors that could put limits to the growth in the short run: the expected decrease in freight rate, the increase in bunker costs and in port dues combined with the strengthening of imbalance in trades are identified as the main elements that could put limits on the vitality of liner shipping business.     

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。     

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.     

Investor herding behaviour in globally listed shipping stocks

ABSTRACT

This study undertakes one of the first empirical attempts to investigate and contribute a set of innovative findings to investor herding behavior and herding spillover effects in globally listed shipping company stock returns. Distinguishing between OECD and Non-OECD markets, herding behavior is tested on a diversified set of shipping companies traded in international equity markets, over different business cycle phases, financial crises, and external shocks. A set of dynamic models, well established in the relevant behavioral finance literature, is implemented. Empirical evidence indicates investor herding behavior in shipping stock returns and herding spillover effects between different shipping sectors, albeit not robust in all cases. These challenging findings can have a material impact on efficient investment and financing decisions of shipping market players.     

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%.     

Modelling cyclic container freight index using system dynamics

ABSTRACT

This paper investigates the cyclical nature of container shipping market represented by a containerized freight index and proposes a predictive cyclical model of the market. In contrast to the traditional spectral analysis (univariate), system dynamics reflect the drivers of the market in both supply and demand side, and therefore, it is a multi-variate system equilibrium approach consisting of various causal spillovers from sub-components of the market. This study is the first to analyze the cycle of container market using system dynamics. By utilizing system dynamics cyclicality approach, one-step ahead predictions are generated for monthly containerized freight index and compared to conventional benchmarks for post-sample validation. Our study can also help policymakers and shipping liners for better management and invest timing of container ship.     

Some current aspects of marketing in the near-sea ferry and liner trades with particular reference to the lrish Sea

The marketing of ferry services has almost unique characteristics but little literature exists in this field. This paper is the result of a preliminary investigation, based on a series of interviews, into some current aspects of marketing on the Irish Sea. The study considers three services types: container; freight only; ro-ro and multi-purpose ro-ro.

The complementarity, or otherwise, of carrying passengers and freight together is debated, as is the organizational conflict or confusion that may arise from this type of operation. The need to adopt different marketing strategies in the freight and passenger markets is derived from consumers' different buying behaviours. The sometimes contentious relationship between product differentiation and market segmentation strategies is explored and definitions provided. Both market coverage and specialization strategies are found in the ro-ro industries and the more competitive segments are identified. Using 'purpose of travel' as the basis for segmentation, potential growth segments of the passenger market are identified. The marketing strategies employed by the freight industry are less apparent, although segmentation does seem to play a major role in the identification of target markets.

The study indicates the extent to which shipping companies on the Irish Sea have adopted the marketing concept and that scope still exists for them to make greater use of this fundamental business philosophy.     

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.     

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.     

Modelling forward freight rate dynamics—empirical evidence from time charter rates

The purpose of this paper is to investigate the dynamics of forward freight rate dynamics. We specify our model in a Heath–Jarrow–Morton framework. This model was originally developed for interest rate markets and, in subsequent work, the model has been applied to various commodity markets. We analyse ten years of weekly time charter (TC) rates for a Panamax 65,000?dwt bulk carrier. Our data set consists of 6-, 12- and 36-month TC rates. We use this data to construct, each day, a forward rate function using a smoothing algorithm. We use the smooth data to investigate the factors governing the dynamics of the forward freight rate curve. We find a strange volatility structure in the data. Out results show that the volatility of the forward curve is bumped, with volatility reaching a peak for freight rates with roughly one year to maturity. Also, correlations between different parts of the term structure are in general low and even negative.     

An analysis of freight rate volatility in dry bulk shipping markets

The world bulk shipping market has been in a peak period since 2003, and this has lasted an incredibly long time considering that the markets are much more complex than before. This paper investigates the characteristics of volatility in dry bulk freight rates of different vessel sizes (capesize, panamax and handysize). The daily returns of freight rate indices of three different types of bulk vessel in the sample period have been examined. The sample period ran from 1 March 1999 to 23 December 2005, and applying the GARCH (generalized auto regressive conditional heteroskedasticity) model showed that the shocks will not decrease but have the tendency to strengthen for all the daily return series. Further, external shocks on the market have a different magnitude of influence on volatility in different types of vessels due to their distinct flexibility. To examine the asymmetric characters of daily return volatility in different bulk shipping sectors and different market conditions, the sample was divided into two periods: one is from 1 March 1999 to 31 December 2002, the other is from 1 January 2003 to 23 December 2005; the EGARCH (exponential generalized auto regressive conditional heteroskedasticity) model was then applied to investigate the asymmetric impact between past innovations and current volatility. The results show that the asymmetric characters are distinct for different vessel size segments and different market conditions. The reasons for the results are discussed and it is considered that the main reasons may be the different flexibility and different commodity transport on different routes. The results from this investigation will be useful for the operators and investors in the dry bulk shipping market to increase profitability and reduce investment risk.     

影响航运市场的要素之分析

在定量分析基础上提出国际航运市场中运价与运量、运力、油价等影响因素之间的作用模型,应用此模型解释近几年航运市场的价格变动并向航运企业提出相应应对措施。