IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0317487.html
   My bibliography  Save this article

Exploring volatility transmission in Capesize freight contracts: Insights from energy and commodity markets

Author

Listed:
  • Jackson Jinhong Mi
  • Shek Ahmed
  • Yanhui Chen

Abstract

Analyzing the interactions between spot and time charter freight is crucial for the maritime industry. While numerous studies have explored the relationship between average freight indices and spillover effects, a gap remains in understanding the deeper connections between inter-regional shipping routes and chartering contracts. This research investigates the role of Capesize freight dynamics in shaping the regional dry bulk freight market, with a focus on the influence of energy and commodity price fluctuations. Utilizing the TVP-VAR model, we identify distinct trends across various investment horizons. The analysis reveals that short-term spillovers dominate the system, with crude oil serving as a consistent shock transmitter within the time charter network. The China-Brazil route drives spillovers across all periods, while the Australia-China route transitions from absorbing short-term volatility to transmitting long-term shocks. Similarly, the Tubarão-Rotterdam and Bolivar-Rotterdam routes display comparable shifts, transmitting short-term spillovers but absorbing long-term volatility. These findings offer valuable insights for stakeholders seeking to manage risks amidst economic and geopolitical uncertainties.

Suggested Citation

  • Jackson Jinhong Mi & Shek Ahmed & Yanhui Chen, 2025. "Exploring volatility transmission in Capesize freight contracts: Insights from energy and commodity markets," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-27, January.
  • Handle: RePEc:plo:pone00:0317487
    DOI: 10.1371/journal.pone.0317487
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0317487
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0317487&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0317487?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Balcilar, Mehmet & Hammoudeh, Shawkat & Toparli, Elif Akay, 2018. "On the risk spillover across the oil market, stock market, and the oil related CDS sectors: A volatility impulse response approach," Energy Economics, Elsevier, vol. 74(C), pages 813-827.
    3. 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.
    4. Tsuji, Chikashi, 2018. "New DCC analyses of return transmission, volatility spillovers, and optimal hedging among oil futures and oil equities in oil-producing countries," Applied Energy, Elsevier, vol. 229(C), pages 1202-1217.
    5. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    6. Chen, Yanhui & Zhou, Xiaoyu & Chen, Shun & Mi, Jackson Jinhong, 2024. "LNG freight rate and LNG price, carbon price, geopolitical risk: A dynamic connectedness analysis," Energy, Elsevier, vol. 302(C).
    7. Chen, Yufeng & Xu, Jing & Miao, Jiafeng, 2023. "Dynamic volatility contagion across the Baltic dry index, iron ore price and crude oil price under the COVID-19: A copula-VAR-BEKK-GARCH-X approach," Resources Policy, Elsevier, vol. 81(C).
    8. Shi, Wenming & Gong, Yuting & Yin, Jingbo & Nguyen, Son & Liu, Qian, 2022. "Determinants of dynamic dependence between the crude oil and tanker freight markets: A mixed-frequency data sampling copula model," Energy, Elsevier, vol. 254(PB).
    9. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    10. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    11. Zhang, Xiang & Baek, Jungho, 2022. "The role of oil price shocks on exchange rates for the selected Asian countries: Asymmetric evidence from nonlinear ARDL and generalized IRFs approaches," Energy Economics, Elsevier, vol. 112(C).
    12. Ping Wang & Paul Dunne, 2003. "Real Exchange Rate Fluctuations in East Asia: Generalized Impulse‐Response Analysis," Asian Economic Journal, East Asian Economic Association, vol. 17(2), pages 185-203, June.
    13. Khan, Khalid & Su, Chi Wei & Koseoglu, Sinem Derindere, 2022. "Who are the influencers in the commodity markets during COVID-19?," Resources Policy, Elsevier, vol. 78(C).
    14. Lee, Chien-Chiang & Zhou, Hegang & Xu, Chao & Zhang, Xiaoming, 2023. "Dynamic spillover effects among international crude oil markets from the time-frequency perspective," Resources Policy, Elsevier, vol. 80(C).
    15. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    16. Yudong Wang & Chongfeng Wu & Li Yang, 2015. "Hedging with Futures: Does Anything Beat the Naïve Hedging Strategy?," Management Science, INFORMS, vol. 61(12), pages 2870-2889, December.
    17. Gu, Bingmei & Liu, Jiaguo, 2022. "Determinants of dry bulk shipping freight rates: Considering Chinese manufacturing industry and economic policy uncertainty," Transport Policy, Elsevier, vol. 129(C), pages 66-77.
    18. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    19. Cheng, Natalie Fang Ling & Hasanov, Akram Shavkatovich & Poon, Wai Ching & Bouri, Elie, 2023. "The US-China trade war and the volatility linkages between energy and agricultural commodities," Energy Economics, Elsevier, vol. 120(C).
    20. Adewuyi, Adeolu O. & Adeleke, Musefiu A. & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel, 2023. "Dynamic linkages between shipping and commodity markets: Evidence from a novel asymmetric time-frequency method," Resources Policy, Elsevier, vol. 83(C).
    21. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2021. "The dynamic effects of international oil price shocks on economic fluctuation," Resources Policy, Elsevier, vol. 74(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juncal Cunado & David Gabauer & Rangan Gupta, 2024. "Realized volatility spillovers between energy and metal markets: a time-varying connectedness approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    2. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2024. "Extreme time-frequency connectedness across U.S. sector stock and commodity futures markets," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1176-1197.
    3. Yang, Yajie & Zhao, Longfeng & Chen, Lin & Wang, Chao & Wang, Gang-Jin, 2025. "The spillover effects between renewable energy tokens and energy assets," Research in International Business and Finance, Elsevier, vol. 74(C).
    4. Xu, Danyang & Hu, Yang & Oxley, Les & Lin, Boqiang & He, Yongda, 2025. "Exploring the connectedness between major volatility indexes and worldwide sustainable investments," International Review of Financial Analysis, Elsevier, vol. 97(C).
    5. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    6. Chatziantoniou, Ioannis & Elsayed, Ahmed H. & Gabauer, David & Gozgor, Giray, 2023. "Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies," Energy Economics, Elsevier, vol. 120(C).
    7. Shang, Jin & Hamori, Shigeyuki, 2025. "Is the time-varying frequency connectedness across crude oil prices, geopolitical risk, economic policy uncertainty, and foreign exchange rates different between Asian and non-Asian countries?," Resources Policy, Elsevier, vol. 102(C).
    8. Junlian Gong & Jun Nagayasu, 2025. "What Makes the Oil Pricing Center? The Impact of Futures Markets and Production," TUPD Discussion Papers 71, Graduate School of Economics and Management, Tohoku University.
    9. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    10. Muneer Shaik & Mohd Ziaur Rehman, 2023. "The Dynamic Volatility Connectedness of Major Environmental, Social, and Governance (ESG) Stock Indices: Evidence Based on DCC-GARCH Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 231-246, March.
    11. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).
    12. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2020. "From CIP-deviations to a market for risk premia: A dynamic investigation of cross-currency basis swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    13. Shang, Jin & Hamori, Shigeyuki, 2021. "Do crude oil prices and the sentiment index influence foreign exchange rates differently in oil-importing and oil-exporting countries? A dynamic connectedness analysis," Resources Policy, Elsevier, vol. 74(C).
    14. Inglesi-Lotz, R. & Dogan, Eyup & Nel, J. & Tzeremes, Panayiotis, 2023. "Connectedness and spillovers in the innovation network of green transportation," Energy Policy, Elsevier, vol. 180(C).
    15. Samarakoon, S.M.R.K. & Pradhan, Rudra P. & Tripathy, Sasikanta & Jayakumar, Manju, 2025. "Does the VIX act as the main transmitter of mispricing in index futures markets? Insights from European and American regions," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    16. Han, SeungOh, 2024. "Hedging strategies for U.S. factor and sector exchange-traded funds during geopolitical events," Finance Research Letters, Elsevier, vol. 65(C).
    17. Abakah, Emmanuel Joel Aikins & Brahim, Mariem & Carlotti, Jean-Etienne & Tiwari, Aviral Kumar & Mensi, Walid, 2024. "Extreme downside risk connectedness and portfolio hedging among the G10 currencies," International Economics, Elsevier, vol. 178(C).
    18. Han, SeungOh, 2025. "Dynamic hedging strategies for U.S. investors in international stock ETFs following geopolitical conflicts," Finance Research Letters, Elsevier, vol. 72(C).
    19. Lucey, Brian & Ren, Boru, 2023. "Time-varying tail risk connectedness among sustainability-related products and fossil energy investments," Energy Economics, Elsevier, vol. 126(C).
    20. Niu, Hongli & Hu, Wenwen, 2024. "Static and dynamic interdependencies among natural gas, stocks of global major economies and uncertainty," Resources Policy, Elsevier, vol. 94(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0317487. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.