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Value based trading of real assets in shipping under stochastic freight rates

Author

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  • Sigbjørn Sødal
  • Steen Koekebakker
  • Roar Adland

Abstract

The article uses a real options valuation model with stochastic freight rates to investigate market efficiency and the economics of switching between the dry bulk and the tanker markets in international shipping. A dry bulk carrier is replaced with a tanker when the expected net present value of such a switch is optimal from a real options based decision rule. Depending on the development of the markets a reversal may take place later. The cost and demand parameters upon which the decisions to switch are made, including the stochastic characteristics of freight rates, are estimated from an empirical analysis that is updated every week throughout a 12-year time period from 1993 to 2005. The second-hand market for bulk ships seems to have been efficient most of these years in the sense that market switching usually did not pay off, with one major exception: it seemed profitable in expectation to leave the dry bulk market and enter the tanker market over a significant period of time shortly after the millennium shift, and to return to the dry bulk market about three years later. These points in time corresponded with an unprecedented boom period in the tanker and dry bulk freight markets, respectively, and the result suggest that agents in the second-hand market were slow to adjust their expectations. In retrospect, such an investment policy also happened to be profitable compared to staying put in the tanker market, even after accounting for transaction costs.

Suggested Citation

  • Sigbjørn Sødal & Steen Koekebakker & Roar Adland, 2009. "Value based trading of real assets in shipping under stochastic freight rates," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2793-2807.
  • Handle: RePEc:taf:applec:v:41:y:2009:i:22:p:2793-2807
    DOI: 10.1080/00036840701720853
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    Cited by:

    1. Haehl, Christian & Spinler, Stefan, 2020. "Technology Choice under Emission Regulation Uncertainty in International Container Shipping," European Journal of Operational Research, Elsevier, vol. 284(1), pages 383-396.
    2. Roar Adland & David Hansson & Levin von der Wense, 2017. "Valuing cargo flexibility in oil transportation," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(7), pages 803-814, October.
    3. Tvedt, Jostein, 2019. "Transport services and the valuation of flexibility over business cycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 517-528.
    4. Alexandros M. Goulielmos, 2015. "The Multi-faceted Character of Risk in Maritime Freight Markets (Panamax) 1996-2012," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(1-2), pages 67-86, January-M.
    5. 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.
    6. Pantuso, Giovanni & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A survey on maritime fleet size and mix problems," European Journal of Operational Research, Elsevier, vol. 235(2), pages 341-349.
    7. Shun Chen & Shiyuan Zheng & Qiang Zhang, 2018. "Investment decisions under uncertainty on LNG-powered vessels for environmental compliance," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-19, December.
    8. Haehl, Christian & Spinler, Stefan, 2018. "Capacity expansion under regulatory uncertainty:A real options-based study in international container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 75-93.
    9. Lourdes Gómez-Valle & Julia Martínez-Rodríguez, 2021. "Including Jumps in the Stochastic Valuation of Freight Derivatives," Mathematics, MDPI, vol. 9(2), pages 1-17, January.
    10. Olubanjo Michael Adetunji & Akintola Amos Owolabi, 2016. "Valuation of Interacting Time-to-Build and Growth Real Options in Infrastructure Investments," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(12), pages 202-215, December.
    11. Gkochari, Christiana C., 2015. "Optimal investment timing in the dry bulk shipping sector," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 102-109.
    12. Moutzouris, Ioannis C. & Nomikos, Nikos K., 2020. "Asset pricing with mean reversion: The case of ships," Journal of Banking & Finance, Elsevier, vol. 111(C).

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