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A portfolio analysis of market investments in dry bulk shipping

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  • Cullinane, Kevin

Abstract

By considering a shipowner's financial commitments as investments, the development of a hedging strategy in shipping can be treated as a portfolio optimization problem. This is especially necessary now freight futures provide a comparatively novel medium for hedging risk in dry bulk shipping markets. Logical and useful results are produced by an empirical application of the Markowitz portfolio selection methodology to dry bulk shipping markets. The portfolios that the optimization process prescribes imply the potential power of freight futures as a tool for hedging risk in shipping. With greater acceptance of their role amongst decision makers in the industry, it is concluded that new patterns of chartering will emerge in the future and that traditional methods of appraising shipping investments, which take no account of portfolio risk, will become increasingly inadequate with greater interdependency between investment options.

Suggested Citation

  • Cullinane, Kevin, 1995. "A portfolio analysis of market investments in dry bulk shipping," Transportation Research Part B: Methodological, Elsevier, vol. 29(3), pages 181-200, June.
    • Handle: RePEc:eee:transb:v:29:y:1995:i:3:p:181-200
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    References listed on IDEAS

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    1. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    2. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    3. Marlow, Peter B & Gardner, Bernard, 1980. "Some Thoughts on the Dry Bulk Shipping Sector," Journal of Industrial Economics, Wiley Blackwell, vol. 29(1), pages 71-84, September.
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    Cited by:

    1. Alexandridis, George & Kavussanos, Manolis G. & Kim, Chi Y. & Tsouknidis, Dimitris A. & Visvikis, Ilias D., 2018. "A survey of shipping finance research: Setting the future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 164-212.
    2. Ming-Tao Chou & Ya - Ling Yang & Su-Chiung Chang, 2012. "A Study of the Dynamic Relationship between Crude Oil Price and the Steel Price Index," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 30-42, May.
    3. Pouliasis, Panos K. & Papapostolou, Nikos C. & Kyriakou, Ioannis & Visvikis, Ilias D., 2018. "Shipping equity risk behavior and portfolio management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 178-200.
    4. Spyros Makridakis & Andreas Merikas & Anna Merika & Mike G. Tsionas & Marwan Izzeldin, 2020. "A novel forecasting model for the Baltic dry index utilizing optimal squeezing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 56-68, January.
    5. Giamouzi, Maria & Nomikos, Nikos K, 2021. "Identifying shipowners’ risk attitudes over gains and losses: Evidence from the dry bulk freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    6. Pao-Lan Kuo & Chien-Liang Chiu & Chan-Sheng Chen & Mei-Chih Wang, 2020. "The Dynamic Relationships between the Baltic Dry Index and the BRICS Stock Markets: A Wavelet Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(3), pages 340-351, March.
    7. Rau, Philipp & Spinler, Stefan, 2016. "Investment into container shipping capacity: A real options approach in oligopolistic competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 130-147.
    8. Alexandridis, George & Sahoo, Satya & Song, Dong-Wook & Visvikis, Ilias, 2018. "Shipping risk management practice revisited: A new portfolio approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 274-290.

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