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An empirical analysis of relationships between cyclical components of oil price and tanker freight rates

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  • Siddiqui, Atiq W.
  • Basu, Rounaq

Abstract

Oil prices directly impact its global transportation operation, which is mainly served by ocean tankers. Significant financial risks are observed by tanker transporters, which are attributed to uncertainties rooted in the complex non-linear stochastic relationship of oil and freight prices. The non-linearities in both prices are due to multiple factors inducing unique price sub-cycles of different timescales, which makes direct price co-movement analysis a flawed approach. To better address this problem, we propose an approach where we first extract constituent cycles, inter-relationships of which are then pairwise analyzed on corresponding timescales. We employed the Complete Ensemble Empirical Mode Decomposition (CEEMD) method for extracting the constituent cycles. A cross-correlation study was then performed between pairs of oil and freight price cycles. Using data from four major global tanker routes, we found several known and new shipping-based cycles. In terms of co-movements, we see increasingly strengthening relationships in medium to longer terms – mostly led by oil prices. Our findings highlight dissimilarities in relationships across routes that are attributable to route characteristics and tanker types.

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  • Siddiqui, Atiq W. & Basu, Rounaq, 2020. "An empirical analysis of relationships between cyclical components of oil price and tanker freight rates," Energy, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:energy:v:200:y:2020:i:c:s0360544220306010
    DOI: 10.1016/j.energy.2020.117494
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    1. Alizadeh, Amir H. & Nomikos, Nikos K., 2004. "Cost of carry, causality and arbitrage between oil futures and tanker freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(4), pages 297-316, July.
    2. Zhao, Yang & Li, Jianping & Yu, Lean, 2017. "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 66(C), pages 9-16.
    3. Zhang, Xun & Lai, K.K. & Wang, Shou-Yang, 2008. "A new approach for crude oil price analysis based on Empirical Mode Decomposition," Energy Economics, Elsevier, vol. 30(3), pages 905-918, May.
    4. Gronwald, Marc, 2012. "A characterization of oil price behavior — Evidence from jump models," Energy Economics, Elsevier, vol. 34(5), pages 1310-1317.
    5. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    6. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2019. "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies’ stock returns," Energy, Elsevier, vol. 188(C).
    7. Vo, Minh T., 2009. "Regime-switching stochastic volatility: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 31(5), pages 779-788, September.
    8. Pirrong, Stephen Craig, 1993. "Contracting Practices in Bulk Shipping Markets: A Transactions Cost Explanation," Journal of Law and Economics, University of Chicago Press, vol. 36(2), pages 937-976, October.
    9. Wang, He & Huang, Simin & Liu, Zhen & Zheng, Li, 2013. "Optimal tanker chartering decisions with spot freight rate dynamics considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 51(C), pages 109-116.
    10. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    11. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    12. David Hummels, 2007. "Transportation Costs and International Trade in the Second Era of Globalization," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 131-154, Summer.
    13. Oladosu, Gbadebo, 2009. "Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data," Energy Policy, Elsevier, vol. 37(12), pages 5417-5426, December.
    14. Adland, Roar & Benth, Fred Espen & Koekebakker, Steen, 2018. "Multivariate modeling and analysis of regional ocean freight rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 194-221.
    15. Roar Adland & Siri P. Strandenes, 2007. "A Discrete-Time Stochastic Partial Equilibrium Model of the Spot Freight Market," Journal of Transport Economics and Policy, University of Bath, vol. 41(2), pages 189-218, May.
    16. Zhang, Jin-Liang & Zhang, Yue-Jun & Zhang, Lu, 2015. "A novel hybrid method for crude oil price forecasting," Energy Economics, Elsevier, vol. 49(C), pages 649-659.
    17. Bormotov, Michael, 2009. "Economic cycles: historical evidence, classification and explication," MPRA Paper 19616, University Library of Munich, Germany.
    18. He, Kaijian & Yu, Lean & Tang, Ling, 2015. "Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology," Energy, Elsevier, vol. 91(C), pages 601-609.
    19. Ghadimi, Noradin & Akbarimajd, Adel & Shayeghi, Hossein & Abedinia, Oveis, 2018. "Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting," Energy, Elsevier, vol. 161(C), pages 130-142.
    20. Manolis G. Kavussanos & Ilias D. Visvikis (ed.), 2016. "The International Handbook of Shipping Finance," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-46546-7, December.
    21. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    22. Haugom, Erik & Mydland, Ørjan & Pichler, Alois, 2016. "Long term oil prices," Energy Economics, Elsevier, vol. 58(C), pages 84-94.
    23. Bai, Xiwen & Lam, Jasmine Siu Lee, 2019. "A copula-GARCH approach for analyzing dynamic conditional dependency structure between liquefied petroleum gas freight rate, product price arbitrage and crude oil price," Energy Economics, Elsevier, vol. 78(C), pages 412-427.
    24. Zhang, Yi, 2018. "Investigating dependencies among oil price and tanker market variables by copula-based multivariate models," Energy, Elsevier, vol. 161(C), pages 435-446.
    25. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    26. Tezuka, Koichiro & Ishii, Masahiro & Ishizaka, Motokazu, 2012. "An equilibrium price model of spot and forward shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 730-742.
    27. Yang, C. W. & Hwang, M. J. & Huang, B. N., 2002. "An analysis of factors affecting price volatility of the US oil market," Energy Economics, Elsevier, vol. 24(2), pages 107-119, March.
    28. Jostein Tvedt, 2003. "Shipping market models and the specification of freight rate processes," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(4), pages 327-346, December.
    29. Larsson, Karl & Nossman, Marcus, 2011. "Jumps and stochastic volatility in oil prices: Time series evidence," Energy Economics, Elsevier, vol. 33(3), pages 504-514, May.
    30. Steve Engelen & Hilda Meersman & Eddy Van De Voorde, 2006. "Using system dynamics in maritime economics: an endogenous decision model for shipowners in the dry bulk sector," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(2), pages 141-158, May.
    31. 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.
    32. 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.
    33. 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.
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