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Factors behind the Freight Rates in the Liner Shipping Industry

Author

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  • Nikola Kutin

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes, National University of Management)

  • Zakaria Moussa

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Thomas Vallée

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

Abstract

This paper analyses the relationship between the China Containerized Freight Index (CCFI), Containership Earnings, Fleet Development, bunker price and Global Economic Activity. The Markov-switching Vector Autoregressive model has been applied by assuming the existence of two regimes. The first one is characterized by low and volatile freight rates, while the second one is more stable with high earnings and high freight rates. Three major cycles in the liner shipping industry have been identified. Moreover, by applying the Impulse Reponses Function, we have estimated the reaction of the freight rates following an increase of 1% of the other variables in the model.

Suggested Citation

  • Nikola Kutin & Zakaria Moussa & Thomas Vallée, 2018. "Factors behind the Freight Rates in the Liner Shipping Industry," Working Papers halshs-01828633, HAL.
    • Handle: RePEc:hal:wpaper:halshs-01828633
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01828633
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    References listed on IDEAS

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    Cited by:

    1. Ki-Hong Choi & Seong-Min Yoon, 2020. "Asymmetric Dependence between Oil Prices and Maritime Freight Rates: A Time-Varying Copula Approach," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    2. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).

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    Keywords

    Freight rates; Container trade; Shipping; Vector Autoregressive Model;
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