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Structural dynamics and volatility channels in bulk shipping: A time and frequency domain connectedness analysis

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  • Nilu, Tanzila Yeasmin
  • Ahmed, Shek
  • Wang, Chuanxu

Abstract

Given the importance of time varying term structure relationships, the connectedness of various time charter contract with the ship price and demolition market varies under different market conditions. This paper investigates dynamic connectedness among different shipping segment of dry bulk sector utilizing the time and frequency domain TVP-VAR connectedness method covering global crisis and geopolitical shocks. Our empirical results indicate strong asymmetric interconnectedness across all segments particularly spillover effect is relatively higher in Panamax vessel. We find evidence of strong long-term spillover impact followed by short-term except Capsize vessel. When analyzing market influence, the average spot freight market leads the system from short to long-term followed by time charter contracts (12-month) across all shipping markets. Our analysis shows that the newbuilding market equally sensitive to external shocks in the short and long-term period while the secondhand market is relatively sensitive to other shocks in the long-term period. In particular, the secondhand ship price of Panamax and Handymax receives strong spillover from the short to long-term period. Moreover, we observe that the demolition market play critical role as positive transmitter of different sizes specially in the Panamax and Handymax segment. Our results enhance understanding of decision-making in cash flow, ship and asset management by showing asymmetric proactive and risk-tolerant behavior in the short and long-term periods.

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  • Nilu, Tanzila Yeasmin & Ahmed, Shek & Wang, Chuanxu, 2025. "Structural dynamics and volatility channels in bulk shipping: A time and frequency domain connectedness analysis," Energy, Elsevier, vol. 336(C).
  • Handle: RePEc:eee:energy:v:336:y:2025:i:c:s0360544225037922
    DOI: 10.1016/j.energy.2025.138150
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    1. Sang-Kuck Chung & Jong-Ha Weon, 2013. "Long memory and asymmetric time varying spillover effects in dry bulk freight markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(4), pages 494-522, December.
    2. Andreas G. Merikas & Anna A. Merika & George Koutroubousis, 2008. "Modelling the investment decision of the entrepreneur in the tanker sector: choosing between a second-hand vessel and a newly built one," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(5), pages 433-447, October.
    3. 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.
    4. Bin Meng & Shuiyang Chen & Hercules Haralambides & Haibo Kuang & Lidong Fan, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04046290, HAL.
    5. S D Tsolakis & C Cridland & H E Haralambides, 2003. "Econometric Modelling of Second-hand Ship Prices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(4), pages 347-377, December.
    6. Meng, Bin & Chen, Shuiyang & Haralambides, Hercules & Kuang, Haibo & Fan, Lidong, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Energy Economics, Elsevier, vol. 120(C).
    7. 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).
    8. 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).
    9. Alizadeh, Amir H. & Talley, Wayne K., 2011. "Vessel and voyage determinants of tanker freight rates and contract times," Transport Policy, Elsevier, vol. 18(5), pages 665-675, September.
    10. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    11. Manolis G. Kavussanos & Amir H. Alizadeh-M, 2002. "The Expectations Hypothesis of the Term Structure and Risk Premiums in Dry Bulk Shipping Freight Markets," Journal of Transport Economics and Policy, University of Bath, vol. 36(2), pages 267-304, May.
    12. 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.
    13. Konstantinos D. Melas & Photis M. Panayides & Dimitris A. Tsouknidis, 2022. "Dynamic volatility spillovers and investor sentiment components across freight-shipping markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 368-394, June.
    14. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    15. Robert F Mulligan, 2008. "A Simple Model for Estimating Newbuilding Costs," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(3), pages 310-321, September.
    16. Amir H. Alizadeh & Nikos K. Nomikos, 2011. "Dynamics of the Term Structure and Volatility of Shipping Freight Rates," Journal of Transport Economics and Policy, University of Bath, vol. 45(1), pages 105-128, January.
    17. Roar Adland & Kevin Cullinane, 2005. "A Time-Varying Risk Premium in the Term Structure of Bulk Shipping Freight Rates," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 191-208, May.
    18. Alizadeh, Amir H. & Nomikos, Nikos K., 2007. "Investment timing and trading strategies in the sale and purchase market for ships," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 126-143, January.
    19. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    20. Palaios, Panagiotis & Triantafillou, Anna, 2025. "Exploring spillover effects in the four shipping markets: Theory and empirical evidence from bulk shipping," Transport Policy, Elsevier, vol. 170(C), pages 75-91.
    21. Wang, Dong & Li, Ping & Huang, Lixin, 2022. "Time-frequency volatility spillovers between major international financial markets during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 46(PA).
    22. 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.
    23. Bin Meng & Shuiyang Chen & Hercules Haralambides & Haibo Kuang & Lidong Fan, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Post-Print hal-04046290, HAL.
    24. Manolis Kavussanos, 1997. "The dynamics of time-varying volatilities in different size second-hand ship prices of the dry-cargo sector," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 433-443.
    25. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    26. Nilu, Tanzila Yeasmin & Wang, Chuanxu & Ahmed, Shek, 2025. "Dynamic spillovers connectedness among carbon trading, shipping freight, bunker oil and crude oil market: Evidence from quantile-frequency analysis," Research in Transportation Economics, Elsevier, vol. 111(C).
    27. 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.
    28. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    29. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    30. Kavussanos, Manolis G. & Alizadeh-M, Amir H., 2001. "Seasonality patterns in dry bulk shipping spot and time charter freight rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(6), pages 443-467, December.
    31. Fan, Lixian & Gu, Bingmei & Yin, Jingbo, 2021. "Investment incentive analysis for second-hand vessels," Transport Policy, Elsevier, vol. 106(C), pages 215-225.
    32. Adland, Roar & Alizadeh, Amir H., 2018. "Explaining price differences between physical and derivative freight contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 20-33.
    33. 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.
    34. Liping Jiang & Jørgen T. Lauridsen, 2012. "Price formation of dry bulk carriers in the Chinese shipbuilding industry," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(3), pages 339-351, May.
    35. Roar Adland & Steen Koekebakker, 2007. "Ship Valuation Using Cross-Sectional Sales Data: A Multivariate Non-Parametric Approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(2), pages 105-118, June.
    36. Shun Chen & Hilde Meersman & Eddy van de Voorde, 2012. "Forecasting spot rates at main routes in the dry bulk market," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(4), pages 498-537, December.
    37. Manolis G Kavussanos, 2003. "Time Varying Risks Among Segments of the Tanker Freight Markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(3), pages 227-250, September.
    38. 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).
    39. Byoung-Wook Ko & Young-Tae Chang, 2024. "Analysis and forecasting of the dry bulk shipping market: structural VAR models using FFA-spot-time charter rates," Maritime Policy & Management, Taylor & Francis Journals, vol. 51(5), pages 717-744, July.
    40. 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.
    41. Wang, Tiantian & Wu, Fei & Zhang, Dayong & Ji, Qiang, 2023. "Energy market reforms in China and the time-varying connectedness of domestic and international markets," Energy Economics, Elsevier, vol. 117(C).
    42. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
    43. 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.
    44. 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.
    45. Yago, Milton & Morgan, Wyn, 2008. "The impact of policy reversal on economic performance in Sub-Saharan Africa," European Journal of Political Economy, Elsevier, vol. 24(1), pages 88-106, March.
    46. Polemis, Dionysios & Bentsos, Christos, 2024. "Seasonality patterns in LNG shipping spot and time charter freight rates," Journal of Commodity Markets, Elsevier, vol. 35(C).
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