As the dry bulk shipping market seems to have been stuck in a trough period for a long time, investors need to pay more attention to their investment strategies to survive during this period. This study aimed to find a suitable model to assess dry bulk ship investment decisions in the tough and peak periods based on real options theories. Two options, involving an abandonment option and a deferrable option, were used to define investors' responses to the uncertainty in investment processes such as stopping or selling vessels. The option valuation was solved by using a binomial valuation model, due to data limitations. In accordance with shipping cycle theories, different volatility parameters for the tough and peak periods were calculated using a generalized autoregressive conditional heteroskedasticity (GARCH) model. The application of the real options model to a case study involving secondhand ship trading indicated its viability. According to the results of the case study, the new model has advantages over the traditional net present value (NPV) method in uncertain investment environments. Thus, the results demonstrate that the real options model is a more suitable method for use in the current dry bulk shipping market.
机构:Shanghai Jiao Tong University,State Key Laboratory of Ocean Engineering, Department of International Shipping, School of Naval Architecture, Ocean and Civil Engineering
Xiayan Zhang
Jingbo Yin
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机构:Shanghai Jiao Tong University,State Key Laboratory of Ocean Engineering, Department of International Shipping, School of Naval Architecture, Ocean and Civil Engineering
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Univ Complutense Madrid, Med Fac, Dept Stat & Operat Res, Plaza Ramon y Cajal S-N,Ciudad Univ, Madrid 28040, SpainUniv Complutense Madrid, Med Fac, Dept Stat & Operat Res, Plaza Ramon y Cajal S-N,Ciudad Univ, Madrid 28040, Spain
Inglada-Perez, Lucia
Coto-Millan, Pablo
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Univ Cantabria, Dept Econ, Santander 39005, SpainUniv Complutense Madrid, Med Fac, Dept Stat & Operat Res, Plaza Ramon y Cajal S-N,Ciudad Univ, Madrid 28040, Spain
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Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China
Lee, Tuan Khee
Lun, Y. H. Venus
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Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China
Lun, Y. H. Venus
Yan, Hong
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Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China