Abstract
A vector autoregressive model was developed for a sample of container carrier time charter rates. Although the series of time charter rates are themselves found non-stationary, thus precluding the use of many modeling methodologies, evidence provided by co-integration tests points to the existence of stable long-term relationships between the series. An assessment of the forecasts derived from the model suggests that the specification of these long-term relationships does not improve the accuracy of long-term forecasts. These results are interpreted as a corroboration of the efficient market hypothesis.
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References
Adland R, Cullinane K. The non-linear dynamics of spot freight rates in tanker markets [J]. Transport research Part E, 2006, 42(3): 211–224.
Veenstra A W. A co-integration approach to forecasting freight rates in the dry bulk shipping sector [J]. Transport Research Part A, 1997, 31(6): 447–458.
Evans J J. An analysis of efficiency of the bulk shipping markets [J]. Maritime Policy and Management, 1994, 21(4): 311–329.
Dickey D A, Fuller W A. Distribution of estimators for autoregressive time series with a unit root [J]. Journal of the American Statistical Society, 1979, 74: 427–431.
Johansen S. Estimation and hypothesis testing of co-integration vectors in Gaussian vector autoregressive models [J]. Econometrica, 1991, 59(6): 1551–1580.
Engle R F, Granger C W J. Co-integration and error correction: representation, estimation, and testing [J]. Econometrica, 1987, 55(2): 251–276.
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Chen, Fe., Zhang, Ry. A co-integration approach to forecasting container carriers’ time charter rates. J. Shanghai Jiaotong Univ. (Sci.) 13, 343–347 (2008). https://doi.org/10.1007/s12204-008-0343-x
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DOI: https://doi.org/10.1007/s12204-008-0343-x