A short-term adaptive forecasting model for BIFFEX speculation: a Box—Jenkins approach

There are numerous possible advantages to be gained from the accurate prediction of future movements in the Baltic Freight Index (BFI). Because of the difficulties inherent in long-range forecasting, however, the potential for such predictions to provide insight into the future state of the physical dry bulk market is perhaps limited. The greater accuracy of short-term forecasts, on the other hand, facilitates the development of a forecasting model form is justified by the inevitably continuous nature of futures market speculation. Such a model is developed through the application of the Box—Jenkins approach to time series analysis and forecasting. The methodology is presented and the resulting model is evaluated on the basis of objective measures of predictive power and by comparison with alternative forecasting models. Finally, the applicability of the model to the practice of BIFFEX speculation is assessed by judging its performance within a simulated BIFFEX trading environment.     

Predictability of the dry bulk shipping market by BIFFEX

When BIFFEX (Baltic International Freight Futures Exchange) came ijnto existence in 1985, many critics were perssimistic that it would have a successful future. In spite of the eight year's surival of BIFFEX, a recent empirical study shows that BIFFEX is not widely used a s a hedging tool ijn the shipping community, unlike the expectations and recommendations of many experts. one reason could be that BIFFEX may not be considered peredictive of the physical market and, therefore, investors might be suspicious of the hedging effect. The objective of this paper is to test this argument by exdamining the predicatability of BIFFEX in the dry bulk shipping market up to six months. Prior to the real situation, the explainable power ranges from 90% in a one-month advance to 23% in a six-month advance.     

最优组合预测方法在内河港口吞吐量预测中的应用

港口吞吐量的预测是港口规划过程中最为基础也最为关键的一步,只有对港口吞吐量做出准确、稳定的预测,才能做出科学合理的港口发展规划。由于内河港吞吐量历史数据有限,文中采用GM(1,1)和Verhulst模型的最优组合模型对港口吞吐量进行预测。该组合模型充分利用GM(1,1)模型“少数据,短期预测准确”的优点,又针对GM(1,1)预测量的无限增大趋势,引入了Verhulst模型进行组合修正,进而提高预测值的准确、稳健性。     

海洋生态系统及海岸工程生态影响预测模型研究进展

对海洋生态系统的研究已形成了以实验观测为基础、建立生态模型的方法。文章对已有的海洋生态模型研究成果进行了归纳总结,认为初级生产力模型是纯生态模型的主要发展方向,综合考虑物理生化作用的生态系统动力学模型将是未来海洋生态研究的必然趋势。同时,由于我国大规模海岸工程建设对近岸海域生态系统造成了较大影响,而相关的生态影响预测模型研究较少,为有效预测评价海岸工程建设对近岸海域生态系统的影响,进一步深入研究海岸工程建设对近岸海洋生态影响预测模型将显得尤为重要。     

Modelling and forecasting the demolition market in shipping

ABSTRACT

We model the demolition market, an integral part of the international shipping industry. It is shown through the implementation of a Vector Autoregressive (VAR) model that international steel-scrap prices contribute decisively towards price discovery in the ship-demolition industry. Our finding is explained and attributed to the fact that the growth models of Southeast Asian countries, where the ship-demolition market is primarily located, rely on scrap metal imports. These are mainly obtained from the developed economies rather than the recycling of vessels. We then proceed to test the forecasting ability of our model and use it for price prediction in the ship-demolition market. We establish that it provides the decision-makers with a useful prediction tool which enables all stakeholders involved, the ship owner, the recycler and the cash buyer alike, to gain valuable insights of the underlying trend in the sector.     

波罗的海干散货指数的简单预测方法

波罗的海干散货指数(BDI)被公认为国际干散货市场的晴雨表,预测BDI十分困难,也十分重要。着重介绍几种简单实用的数值拟合方法,并建立BDI预测模型,为航运管理人员提供参考。     

基于条件期望的港口货物吞吐量预测模型的建立与分析

为了有效预测港口货物总吞吐量的大小,利用条件数学期望提出了港口货物总吞吐量的预测模型.由于货物总吞吐量的变化与到达港口的货运船数目以及装卸设备的工作效率有密切关系,构造一个关于到达港口的货运船数目以及装卸设备的工作能力组合而成的复合变量,货物总吞吐量是这些复合变量所表示的货物装卸量的和.应用全概理论,得到货物总吞吐量的概率分布.在此基础上,将未来货物总吞吐量看作已完成吞吐量的条件期望.利用增长函数得出港口货物吞吐量的预测模型.以山东地区某港口的货物吞吐量变化规律进行了案例分析.理论分析和案例分析均表明该模型是预测港口货物总吞吐量的有效方法.     

改进GM（1,1）模型在舰船维修费用预测中的应用

基于灰色系统理论,使用海军舰船维修费用历史数据建立初值修正的GM（1,1）模型,利用少量数据中的显信息和隐信息,避免复杂的相关关系,克服了原始数据的离散性,得到较高精度的拟合效果,并对海军舰船维修费用进行短期预测。将预测结果加入等维信息模型,对未来费用支出进行动态预测。结果表明：其精度优于传统模型。     

灰色系统模型在内河港口吞吐量预测中的应用

根据淮南港吞吐量实际调查资料,选择灰色系统理论对其进行吞吐预测研究,结果表明,对不同的预测时期应采用不同的灰色系统预测模型。对于短期预测,采用GM(1,1)模型与Verhulst模型的组合模型;对于长期预测,采用Verhulst模型并用GM(1,1)模型对其残差进行修正。实例验证以上两种模型是可行性的。     

A model for forecasting future supply of shipping services at Australian ports

This paper aims to develop an integrated model for forecasting both the number of ship visits and their characteristics in the medium and long term. Knowledge of future shipping trends for any port is no doubt important, as the future number of ship visits and their characteristics may have implications for the physical facilities of a port. In addition, more reliance on tonnages as a revenue source has made this knowledge more valuable. The proposed model identifies such major economic determinants as the expected trade throughput, world shipping trends, standards of facilities and future plans of shipping companies/agents. The model examines three possible scenarios for the Port of Melbourne and produces a range of shipping forecasts based on certain assumptions. From the model the major findings were:

world trends in shipping did not have any immediate impact on the shipping trends at the Port of Melbourne;

Future shipping services at the Port of Melbourne in the next 11 years are most likely to be determined by trade demand rather than by technological developments overseas;

there has been no evidence to indicate that the Port of Melbourne has been excluded from the schedule of general cargo ships due to the Port's physical constraints.     

江苏船舶工业的造船市场预测

在对航运船舶发展进行综合研究的基础上，本文论述了预测航运市场船舶需求量的方法，并预测进入21世纪头10年江苏船舶工业的造船市场。     

舰船批量建造费用的组合预测应用研究

研究了舰船批量建造费用的组合预测问题.首先依据舰船批量建造费用的变化特点,采用生长曲线法、数据平滑法、灰色分析法对费用进行预测,然后运用支持向量机的回归算法对3种预测方法的预测值进行有机组合,建立了舰船批量建造费用的组合预测模型,最后利用样本数据分析了一个参数变化对预测性能的影响,给出了支持向量机参数选择的依据.仿真结果表明,该模型能明显提高系统预测的精度和稳定性,可用于舰船批量建造费用的预测和估算,具有较大的实用价值.     

基于支持向量机的船舶交通流量预测模型

针对船舶交通流的随机性大,影响因素多,船舶交通流量预测的准确度不高等现象,基于支持向量机理论,结合长江苏通大桥断面的观测数据,建立支持向量机的预测模型进行短期的船舶流量预测.预测结果与实际流量比较一致,优于SPSS线性回归的预测效果.验证了支持向量机预测模型在船舶流量短期预测中的可行性.     

Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance

The third part of the state-of-the-art focuses on the future of road safety modeling and on conjectures concerning the evolution of national safety indicators. In the absence of econometric developments specific to road safety modeling, the research future must rely on pre-existing statistical procedures of econometrics applied to discrete/count and to aggregate data. In terms of contents, growing interest in the heterogeneity of road accident outcomes by category of victims could lead to treatments of this issue across research streams, say by top-down and bottom-up developments, but this speculation does not rest on extant adequate formulations of the issue of road user class and victim analysis. But understanding the time profile of aggregate national performance indicators is quite another matter.     

组合预测模型在上海内河港口吞吐量预测中的应用

建立时间序列和二元线性回归的组合预测模型,对上海内河港口2010年、2015年和2020年的货物吞吐量水平进行了预测。研究发现,组合预测模型相比单个预测方法具有较高的精度,能够较准确地预测上海内河港口货物吞吐量。     

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.     

船舶舱室噪声预报的方法

对船舶舱室噪声预报的各种方法进行了较详细的阐述,并结合某型实船介绍了以统计能量法进行舱室噪声预报及改进设计研究的方法,可为今后船舶开发提供相关参考依据.     

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.     

基于SVM的电子装备故障预测方法研究

探讨了支持向量机时间序列预测模型的应用。将支持向量机时间序列预测技术应用于电子装备故障预测中,对某型电子装备的数据传输插件板进行了故障预报,通过实验证明了该方法的有效性和实用性。     

基于组合预测模型的世界海运周转量预测分析

世界海运周转量是衡量未来航运市场运力需求的直接体现,在确定航运市场和船舶市场的发展趋势方面具有关键作用。针对世界海运周转量受到众多复杂因素影响的现实,基于传统的单个预测方法,分别采用时间序列、灰色系统、神经网络方法对世界海运周转量进行预测,然后再对单个预测方法进行加权组合,建立组合预测模型进行海运周转量的预测,预测结果表明:组合预测模型能够得到更加可靠的结果。