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Contracting decisions in the crude oil transportation market: Evidence from fixtures matched with AIS data

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  • Prochazka, Vít
  • Adland, Roar
  • Wolff, François-Charles

Abstract

In this paper, we investigate the contracting behaviour of participants in the spot freight market for tankers by analysing the positioning of vessels at the time of fixture. For that purpose, we create a new dataset obtained by merging spatial ship positions, commercial fixtures and technical vessel specifications. Using quantile and quantile fixed effect regressions, we show how market conditions, vessel characteristics and charterers’ preferences affect the fixture location. Our main result is that oil buyers secure tonnage earlier during strong tanker markets and that the geography of trade creates natural decision points that dominate in the spatial distribution of fixtures.

Suggested Citation

  • Prochazka, Vít & Adland, Roar & Wolff, François-Charles, 2019. "Contracting decisions in the crude oil transportation market: Evidence from fixtures matched with AIS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 37-53.
    • Handle: RePEc:eee:transa:v:130:y:2019:i:c:p:37-53
    DOI: 10.1016/j.tra.2019.09.009
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    1. Tamvakis, Michael N. & Thanopoulou, Helen A., 2000. "Does quality pay? The case of the dry bulk market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(4), pages 297-307, December.
    2. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    3. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    4. Adland, Roar & Cariou, Pierre & Wolff, Francois-Charles, 2016. "The influence of charterers and owners on bulk shipping freight rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 86(C), pages 69-82.
    5. Köhn, Sebastian & Thanopoulou, Helen, 2011. "A gam assessment of quality premia in the dry bulk time-charter market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 709-721, September.
    6. Manolis G. Kavussanos & Amir H. Alizadeh-M, 2002. "The Expectations Hypothesis of the Term Structure and Risk Premiums in Dry Bulk Shipping Freight Markets," Journal of Transport Economics and Policy, University of Bath, vol. 36(2), pages 267-304, May.
    7. Roar Adland & Siri P. Strandenes, 2007. "A Discrete-Time Stochastic Partial Equilibrium Model of the Spot Freight Market," Journal of Transport Economics and Policy, University of Bath, vol. 41(2), pages 189-218, May.
    8. Jostein Tvedt, 2011. "Short-run freight rate formation in the VLCC market: A theoretical framework," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 13(4), pages 442-455, December.
    9. Adland, Roar & Cullinane, Kevin, 2006. "The non-linear dynamics of spot freight rates in tanker markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 211-224, May.
    10. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
    11. Assmann, Lisa & Andersson, Jonas & Eskeland, Gunnar S., 2015. "Missing in Action? Speed optimization and slow steaming in maritime shipping," Discussion Papers 2015/13, Norwegian School of Economics, Department of Business and Management Science.
    12. Risto Laulajainen, 2007. "The geographical foundations of tanker (dirty) shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(6), pages 553-576, December.
    13. Roar Adland & Haiying Jia, 2018. "Dynamic speed choice in bulk shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 253-266, June.
    14. Roar Adland & Haiying Jia & Siri P. Strandenes, 2017. "Are AIS-based trade volume estimates reliable? The case of crude oil exports," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(5), pages 657-665, July.
    15. Alizadeh, Amir H. & Talley, Wayne K., 2011. "Vessel and voyage determinants of tanker freight rates and contract times," Transport Policy, Elsevier, vol. 18(5), pages 665-675, September.
    16. Fred Espen Benth & Steen Koekebakker, 2016. "Stochastic modeling of Supramax spot and forward freight rates," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(4), pages 391-413, December.
    17. Roar Adland & Kevin Cullinane, 2005. "A Time-Varying Risk Premium in the Term Structure of Bulk Shipping Freight Rates," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 191-208, May.
    18. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    19. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56, pages 279-279.
    20. Haiying Jia & Ove Daae Lampe & Veronika Solteszova & Siri P. Strandenes, 2017. "An automatic algorithm for generating seaborne transport pattern maps based on AIS," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 619-630, December.
    21. Amir Alizadeh & Wayne Talley, 2011. "Microeconomic determinants of dry bulk shipping freight rates and contract times," Transportation, Springer, vol. 38(3), pages 561-579, May.
    22. Risto Laulajainen, 2008. "Operative strategy in tanker (dirty) shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(3), pages 313-339, June.
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    Cited by:

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    6. Bai, Xiwen & Cheng, Liangqi & Iris, Çağatay, 2022. "Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).

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    More about this item

    Keywords

    International shipping; Spot market; AIS data; Oil transportation;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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