The empirical evidence of the leverage effect on volatility in international bulk shipping market

This paper mainly applies Nelson's EGARCH (Exponentially Generalized Autoregressive Conditional Heteroskedasticity) model to investigate the leverage effect in the presence of the international bulk shipping market. The daily return of three different types of bulk vessel in the sampling period selected has been examined. We find that all return series show a significantly negative relation in terms of return and volatility and the leverage effect on volatility is more significant in market downward movement than in market upward movement under the same magnitude of innovation, in addition, the larger vessels have much more leverage effect than smaller vessels contemporaneously. Therefore, it seems to be an inherent nature in the international bulk shipping market that the phenomenon of an asymmetric impact between past innovations and current volatility. This result from the investigation may provide investors with an insight into real characteristics of price return volatility, it is useful for investors to pre-arrange their portfolios of assets, risk management e.g. enabling them to achieve a reduction of investment risk and an increase of operation performance in profit gain.     

Asset allocation and value at risk in shipping equity portfolios

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.     

Assessment of investment decision in the dry bulk shipping market based on real options thinking and the shipping cycle perspective

As the dry bulk shipping market seems to have been stuck in a trough period for a long time, investors need to pay more attention to their investment strategies to survive during this period. This study aimed to find a suitable model to assess dry bulk ship investment decisions in the tough and peak periods based on real options theories. Two options, involving an abandonment option and a deferrable option, were used to define investors’ responses to the uncertainty in investment processes such as stopping or selling vessels. The option valuation was solved by using a binomial valuation model, due to data limitations. In accordance with shipping cycle theories, different volatility parameters for the tough and peak periods were calculated using a generalized autoregressive conditional heteroskedasticity (GARCH) model. The application of the real options model to a case study involving secondhand ship trading indicated its viability. According to the results of the case study, the new model has advantages over the traditional net present value (NPV) method in uncertain investment environments. Thus, the results demonstrate that the real options model is a more suitable method for use in the current dry bulk shipping market.     

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.     

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.     

Price and volume dynamics in second-hand dry bulk and tanker shipping markets

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.     

Price and volume dynamics in second-hand dry bulk and tanker shipping markets

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.     

An approach for Baltic Dry Index analysis based on empirical mode decomposition

The bulk shipping market is seasonal, cyclical and highly volatile. Due to the nonstationary and nonlinear nature of price series and the complexity of influencing factors, it is difficult to analyse the fluctuations in the bulk shipping market. In this study, a method based on empirical mode decomposition (EMD) is proposed to investigate the volatility of the Baltic Dry Index (BDI). In this method, the original freight price series is decomposed into several independent intrinsic modes, using EMD first. Then, the intrinsic modes are composed into three components: short-term fluctuations caused by normal market activities, the effect of extreme events and a long-term trend. Numerical experiments indicate that the proposed method can effectively reveal the characteristics of bulk freight price series with different economic meanings and decrease error accumulation. Meanwhile, by decomposition of intrinsic modes, the complexity of the model formulation can be controlled and the operability of the model can be improved.     

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.     

波罗的海干散货运价指数波动性研究

为把握国际干散货市场运价指数的波动特征,规避航运经营风险,建立基于广义的自回归条件异方差(GARCH)的运价指数波动模型.选取四种船型的波罗的海干散货运价指数BCI、BPI、BHI、BSI作为研究的样本数据.利用EVIEWS软件,通过分析样本数据的基本统计特征和ARCH效应检验等,对四种船型分别建立了GARCH(1,1)模型.实例验证表明模型能很好地反映波罗的海干散货运价指数波动的敏感性和持续性规律,从而可为航运经营提供决策支持.     

金融危机时期国际干散货船舶运输市场状况与对策

2008年金融危机以来,世界经贸形势错综复杂,国际干散货船舶运输市场陷入低迷,BDI指数持续低谷盘整。研究了国际干散货运输需求情况和运力增长规模,剖析了国际干散货运价走势,并针对金融危机时期国际干散货船舶运输市场状况,提出了金融危机时期国际干散货船舶运输的发展对策。     

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.     

国际干散货运输市场回顾与展望

2003年是国际干散货运输市场迄今为止表现最为强劲的一年。以中国进口铁矿石和日本进口煤炭为核心的需求空前高涨,谷物和小宗散货海运贸易也十分活跃,历史罕见的压港和低增长的新交船使运力供应高度紧张,市场出现严重的“结构性失调”,不仅夏季淡季不淡,表现火爆。而且在中国“十一”长假期间出现“井喷”行情,BDI指数一举冲破4 500点大关,较上一个历史高点1995年5月1日的2 352点高出2 000多点,三大船型运价水平均创历史新高。之后市场经过半个月的调整又再度发力,BDI再度越过4 700点大关,以完美的表现宣告了今年的结束。各权威机构对世界经济在2004年将加快发展已经基本达成共识,而目前在国际干散货运输市场中起着引擎作用的我国经济发展更是势头强劲,其钢铁工业步入高增长期,已成为不容争辩的事实,这无疑都为国际干散货运输市场提供了一个更加广阔的发展空间。运力方面虽然新交船数量略高,但船舶压港短时间内难以解决。因此,2004年的干散货运输市场总体形势看好。     

Examining the theoretical–empirical inconsistency on stationarity of shipping freight rate

As market price, shipping freight rates should in theory be stationary, but most empirical tests have found them to be non-stationary. To examine the causes of this theoretical–empirical inconsistency, we investigate the sensitivities of the stationarity of shipping freight rates from two perspectives: sample length and sample window. Longer samples are found not sufficient to make them stationary. Instead, sample windows separated by structural breaks are tested as stationary. Moreover, freight rates are found to have entered into a new phase since the 2008 financial crisis. This study contributes to the literature on the stationarity of shipping freight rates by providing an explanation for the theoretical–empirical inconsistency.     

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.     

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。     

Investment strategies in market uncertainty

The nature of the global economy is one of dynamic change. Shipping is a service industry with its demand related to changes in international trade levels and patterns. As a consequence shipping is subject to sometimes unpredictable swings in demand so that the operator is required to make strategic planning decisions while navigating through boom or bust environments. While boom economies generate rising freight rates which are welcomed and encourage investment, ship operators may also have to face falling freight demand and declining freight rates that may have significant impact on profitability, often falling to uneconomic levels for extended periods. In such a period of uncertainty and declining profitability management will make operational decisions to reduce costs. However, shipping lines operate in a market environment so any decisions made to rationalize the trade may have significant long-term competitive implications. For example, traditional micro economic theory might suggest that the prudent strategy to adopt would be to close down the operation and reopen when the market conditions improve. In a world of certainty or when costs of taking this action are zero, this would be a valid strategy. However, because of fear of competitors taking up a line's market share if the shipping company exits, even temporarily, this strategy cannot be valued simply in terms of shut-down and start-up costs. A further consideration is the fact that standard capital budgeting techniques, such as Net Present Value (NPV), cannot incorporate the flexibility to respond to new information and strategic responses explicitly into their investment analysis. This paper will demonstrate the use of Real Option Analysis (ROA) to provide guidelines for decisions about closing operations in adverse market conditions.