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The dynamic relationship between freight markets and commodity prices revealed

机译:货运市场与商品价格之间的动态关系揭示了

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The aim of this study is to investigate empirically the relationship between the dry bulk freight markets and the prices of ‘major bulks.’ The relationship has not attracted much attention in the literature so far. However, changing commodity prices can influence the timing and quantity of imports and exports and, by extension, the volume of seaborne trade. In this context, many maritime practitioners tend to monitor the levels of commodity prices in order to obtain insights into the anticipated demand for bulk carriers. Therefore the examination of this relationship deserves further attention. The elements of our analysis consist of representative prices of coal, iron ore, and wheat, and Baltic Exchange indices that correspond to the most widely used vessel size for each commodity. In particular, we focus on the lead–lag relationship between each pair of variables, employing cointegration analysis, Granger Causality tests, and Impulse Response analysis. Our results imply the existence of a bidirectional relationship in the cases of iron ore and coal, while they indicate that wheat price leads the Baltic Panamax Index but the opposite is not true. These findings can support decision making in both dry bulk chartering and commodity trading.
机译:这项研究的目的是通过实证研究干散货运价市场与“大宗散货”价格之间的关系。迄今为止,这种关系在文献中并未引起太多关注。但是,商品价格的变化会影响进出口的时间和数量,进而影响海运贸易量。在这种情况下,许多海事从业者倾向于监测商品价格水平,以便对散货船的预期需求有深刻的了解。因此,对这种关系的研究值得进一步关注。我们的分析要素包括煤炭,铁矿石和小麦的代表性价格,以及与每种商品使用最广泛的船只尺寸相对应的波罗的海交易所指数。特别是,我们使用协整分析,格兰杰因果检验和冲激响应分析来关注每对变量之间的超前-滞后关系。我们的结果暗示在铁矿石和煤炭的情况下存在双向关系,尽管它们表明小麦价格领先波罗的海巴拿马型指数,但事实并非如此。这些发现可以支持干散货租船和商品交易中的决策。

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