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Freight Rate Volatility and Vessels Size in Tankers’ Sector

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  • Skantzouri, Efthymia Nefeli
  • Sambracos, Evangelos

Abstract

This current dissertation deals with freight rate volatility in tankers’ sector. This sector, like other sectors in shipping industry consists of four markets. Three of them refer to vessels and one refers to freight rates. Consequently, based on shipping industry circumstances and on general circumstances in the economy, freight rates level is characterized by some volatility which varies according to vessels size and whether freight is traded on spot market or on time-charter market. This paper investigates the tanker sector and whether the volatility of freight differentiated between markets and between different ship sizes. Moreover, seasonality is studied together with the effect of the global economic crisis in the volatility of freight rates.

Suggested Citation

  • Skantzouri, Efthymia Nefeli & Sambracos, Evangelos, 2018. "Freight Rate Volatility and Vessels Size in Tankers’ Sector," MPRA Paper 97896, University Library of Munich, Germany, revised 25 Nov 2019.
    • Handle: RePEc:pra:mprapa:97896
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    References listed on IDEAS

    as
    1. 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.
    2. Angela Poulakidas & Fred Joutz, 2009. "Exploring the link between oil prices and tanker rates," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(3), pages 215-233, June.
    3. Xu, Jane Jing & Yip, Tsz Leung & Marlow, Peter B., 2011. "The dynamics between freight volatility and fleet size growth in dry bulk shipping markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 983-991.
    4. Sun, Xiaolei & Tang, Ling & Yang, Yuying & Wu, Dengsheng & Li, Jianping, 2014. "Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance," Economic Modelling, Elsevier, vol. 42(C), pages 287-295.
    5. Manolis Kavussanos & Nikos Nomikos, 2003. "Price Discovery, Causality and Forecasting in the Freight Futures Market," Review of Derivatives Research, Springer, vol. 6(3), pages 203-230, October.
    6. Lu Jing & Peter B. Marlow & Wang Hui, 2008. "An analysis of freight rate volatility in dry bulk shipping markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(3), pages 237-251, June.
    7. Amir H. Alizadeh & Nikos K. Nomikos, 2009. "Shipping Derivatives and Risk Management," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-23580-9, December.
    8. Jane Jing Xu & Tsz Leung Yip & Liming Liu, 2011. "A directional relationship between freight and newbuilding markets: A panel analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 13(1), pages 44-60, March.
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    More about this item

    Keywords

    Shipping; Freight Rates; Prices Volatility; Crisis effect; seasonality;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • 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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