英文摘要 |
In the global bulk shipping market, there are obvious differences in freight rates and charter hires among different vessel types. Capesize vessels are mainly used to transport iron ore and coal shipments. In addition, Capesize vessels have the characteristics of owning specific cargo attributes, concentration of cargo sources and the highest fluctuations of freight rates and charter hires; therefore it is difficult to operate in the Capsize market sector. Consequently, the key factor in operating Capsize vessels is to forecast the fluctuations in freight rates and charter hires. In this research, under the hypothesis of globally political and economic environment remaining generally unchanged, we adopted the GM (1,1) model of the grey theory with rolling check to forecast the Baltic Capesize Index (BCI) in different periods with different sample sizes. It is found that the four-point model performs the most accurate predictions. We also used exponential smoothing to technique conduct a more profound analysis in the accuracy of the forecasts and examined the accuracy by applying both the mean absolute percentage error (MAPE) and the mean square error (MSE). Finally, in terms of the performance of the forecasts, the Grey model is better than the exponential smoothing method because it would not be affected by fluctuations of BCI. Depending upon the pessimistic or optimistic degree of expectation and the difference of managers' risk preferences, the results of this research can contribute as a good reference in developing operational chartering strategies for shipowners and charterers. |