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The relationship between period and spot rates in international maritime markets

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  • Jan A. Berg-Andreassen

Abstract

This paper evaluates empirically some very common theories of the freight rate generating process in the time charter markets. After a review of the most common assumptions made of the way time charter rates are set, the hypotheses are identified as follows: ( a ) the Zannetos Hypothesis, ( b ), the Lagged Zannetos Hypothesis, ( c ) the Koyck Lag Hypothesis, ( d ) the Rational Expectation Hypothesis, and ( e ) the Conventional Wisdom Hypothesis. These hypotheses are tested using statistical cointegration analysis that includes both an Augmented Dickey--Fuller (ADF), and a Johansen likelihood ratio test. Confronted with the data, hypotheses ( a ) and ( b ) are rejected outrightly. In the Koyck Lag case, the ADF statistic seem to confirm the hypothesis. A closer look at the numbers reveals that all of the impact on the time charter rates comes from the lagged dependent variable. Hence, the Koyck Lag Hypothesis is rejected. In the Rational Expectation case, the two tests conflicted. Based on the fact that the Rational Expectation Hypothesis includes the lagged dependent variable and that the Johansen test has been found to be a more robust test than the ADF test, the Rational Expectation Hypothesis is rejected. The fifth hypothesis is a reflection of the general bulk industry perception that the time charter rate is impacted by changes in the comparable spot rate and not much by the spot rate levels. In this case both the ADF and the Johansen test accepted the hypothesis for all markets. Thus, the paper concludes that the conventional market explanation of the time charter freight rate setting process is essentially correct--spot rate changes matter spot rate levels do not.

Suggested Citation

  • Jan A. Berg-Andreassen, 1997. "The relationship between period and spot rates in international maritime markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 24(4), pages 335-350, January.
  • Handle: RePEc:taf:marpmg:v:24:y:1997:i:4:p:335-350
    DOI: 10.1080/03088839700000042
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    Cited by:

    1. Zheng, Shiyuan & Lan, Xiangang, 2016. "Multifractal analysis of spot rates in tanker markets and their comparisons with crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 547-559.
    2. Bai, Xiwen & Lam, Jasmine Siu Lee, 2021. "Freight rate co-movement and risk spillovers in the product tanker shipping market: A copula analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    3. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.
    4. Glen, D.R. & Martin, B.T., 2004. "2. A Survey Of The Modelling Of Dry Bulk And Tanker Markets," Research in Transportation Economics, Elsevier, vol. 12(1), pages 19-64, January.

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