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Measuring volatility spillover effects in dry bulk shipping market

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  • Yang, Jialin
  • Ge, Ying-En
  • Li, Kevin X.

Abstract

Dry bulk shipping market, as an indispensable part of maritime supply chains, can be affected by the transport demand from commodity market, the costs from bunker market, the macroeconomic environment, and threats from the competitor market. To analyze such interactions between these markets, this paper proposes the use of a vector-autoregression (VAR) model to explore volatility spillover effects in dry bulk shipping markets in terms of the secondhand ship prices of Capesize, Panamax and Handymax during 2009–2019. The characteristics of sub-segments of dry bulk shipping market are deeply analyzed, which are necessary for asset allocation in shipping industry. A series of numerical experiments are carried out, by means of variance decomposition approach and historical decomposition approach. Results reveal the existence of different responses to shocks in sub-segments of dry bulk shipping market. It is also shown that smaller vessels are more likely to be affected by related markets except the outlier of the relationship between China interest rate and Panamax market. In addition, responses to both negative and positive contributions are discussed. For example, commodity market has a profound effect on dry bulk shipping market when the market is stable, whereas influences of the bunker market represents the volatility of a market. Finally, this paper finds insignificant effects of the US-CNY exchange rate market and the container shipping market on the dry bulk shipping market.

Suggested Citation

  • Yang, Jialin & Ge, Ying-En & Li, Kevin X., 2022. "Measuring volatility spillover effects in dry bulk shipping market," Transport Policy, Elsevier, vol. 125(C), pages 37-47.
  • Handle: RePEc:eee:trapol:v:125:y:2022:i:c:p:37-47
    DOI: 10.1016/j.tranpol.2022.01.018
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    1. Atsushi Sekine & Takayuki Tsuruga, 2018. "Effects of commodity price shocks on inflation: a cross-country analysis," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 1108-1135.
    2. Ko, Byoung-Wook, 2018. "Dynamic patterns of dry bulk freight spot rates through the lens of a time-varying coefficient model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 319-330.
    3. Jingbo Yin & Meifeng Luo & Lixian Fan, 2017. "Dynamics and interactions between spot and forward freights in the dry bulk shipping market," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 271-288, February.
    4. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    5. Carisa K.W. Yu & Tsz Leung Yip & Siu Kai Choy, 2019. "Optimal portfolio choice for ship leasing investments," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(7), pages 884-900, October.
    6. Wolfgang Drobetz & Tim Richter & Martin Wambach, 2012. "Dynamics of time-varying volatility in the dry bulk and tanker freight markets," Applied Financial Economics, Taylor & Francis Journals, vol. 22(16), pages 1367-1384, August.
    7. Finnsgård, Christian & Kalantari, Joakim & Roso, Violeta & Woxenius, Johan, 2020. "The Shipper's perspective on slow steaming - Study of Six Swedish companies," Transport Policy, Elsevier, vol. 86(C), pages 44-49.
    8. 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.
    9. Wenming Shi & Zhongzhi Yang & Kevin X. Li, 2013. "The impact of crude oil price on the tanker market," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(4), pages 309-322, July.
    10. Gong, Xiaoxing & Wu, Xiaofan & Luo, Meifeng, 2019. "Company performance and environmental efficiency: A case study for shipping enterprises," Transport Policy, Elsevier, vol. 82(C), pages 96-106.
    11. Ben Zeev, Nadav, 2019. "Global credit supply shocks and exchange rate regimes," Journal of International Economics, Elsevier, vol. 116(C), pages 1-32.
    12. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    13. 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.
    14. Roar Adland & Haiying Jia, 2017. "Simulating physical basis risks in the Capesize freight market," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 196-210, June.
    15. Batten, Jonathan A. & Brzeszczynski, Janusz & Ciner, Cetin & Lau, Marco C.K. & Lucey, Brian & Yarovaya, Larisa, 2019. "Price and volatility spillovers across the international steam coal market," Energy Economics, Elsevier, vol. 77(C), pages 119-138.
    16. 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.
    17. Manolis Kavussanos & Ilias Visvikis & Dimitris Dimitrakopoulos, 2010. "Information linkages between Panamax freight derivatives and commodity derivatives markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(1), pages 91-110, March.
    18. Choi, Chi-Young & Chudik, Alexander, 2019. "Estimating impulse response functions when the shock series is observed," Economics Letters, Elsevier, vol. 180(C), pages 71-75.
    19. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Shahbaz, Muhammad, 2018. "The renewable energy consumption and growth in the G-7 countries: Evidence from historical decomposition method," Renewable Energy, Elsevier, vol. 126(C), pages 594-604.
    20. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Qu, Zhuohua & Yang, Zaili, 2019. "An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 222-240.
    21. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    22. Alizadeh, Amir H. & Strandenes, Siri Pettersen & Thanopoulou, Helen, 2016. "Capacity retirement in the dry bulk market: A vessel based logit model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 28-42.
    23. 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.
    24. Xiaolin Sun & Hailong Liu & Shiyuan Zheng & Shun Chen, 2018. "Combination hedging strategies for crude oil and dry bulk freight rates on the impacts of dynamic cross-market interaction," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(2), pages 174-196, February.
    25. Sun, Xiaolin & Haralambides, Hercules & Liu, Hailong, 2019. "Dynamic spillover effects among derivative markets in tanker shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 384-409.
    26. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    27. Alexandridis, G. & Sahoo, S. & Visvikis, I., 2017. "Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 82-104.
    28. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    29. Kevin X. Li & Yi Xiao & Shu-Ling Chen & Wei Zhang & Yuquan Du & Wenming Shi, 2018. "Dynamics and interdependencies among different shipping freight markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(7), pages 837-849, October.
    30. Manolis G. Kavussanos & Ilias D. Visvikis, 2006. "Shipping freight derivatives: a survey of recent evidence," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(3), pages 233-255, July.
    31. Kavussanos, Manolis G. & Visvikis, Ilias D., 2004. "Market interactions in returns and volatilities between spot and forward shipping freight markets," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 2015-2049, August.
    32. Kevin X. Li & Guanqiu Qi & Wenming Shi & Zhongzhi Yang & Hee-Seok Bang & Su-Han Woo & Tsz Leung Yip, 2014. "Spillover effects and dynamic correlations between spot and forward tanker freight markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 683-696, December.
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