heal.abstract |
In this paper we present a realistic and flexible approach concerning the forecast of tanker freight rates in a pre-determined number of tanker routes. We aim to do this by using certain analytical techniques. In general, tanker freight rates can reflect the global socio-economical and environmental-oriented situation of various aspects of maritime transport market and practices. Moreover, the development of a realistic and event-driven way in order to achieve acceptable forecasts is in position to further analyze and promote the actual role of such parameters (e.g. tanker freight rates etc). By using the term event-driven we refer to possible maritime market (e.g. tanker rates) reaction to a (local) warfare, to an international embargo, to the enforcement of new regulations etc. Thus, the specific tanker routes were selected with regional, volume and cargo type criteria; this means that they can adequately cover some of the important oil maritime flows in a world-wide scale. We aim to accomplish the aforementioned task by implementing a detailed single-parameter time series model analysis and certain supportive explanatory models. In this way, we formulate an operational and practical framework capable to support a possible corresponding effort for decision making in this cognitive area. The key issue of this effort is to structure a logical-realistic approach to model the recorded fluctuations of tanker freight market. The proposed methodology is applied to forecasting the spot and period freight rates of tankers up to 30.000, 130.000, and 250.000 tn dwt, using as input among others the supply, demand and the number of laid up ships (ranging from 10.000 to 39.999 tn dwt). The success of forecasting is satisfactory in most cases. © 2005 Taylor & Francis Group. |
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