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Dynamics of the co-movement between stock and maritime markets

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  • Erdogan, Oral
  • Tata, Kenan
  • Karahasan, B. Can
  • Sengoz, M. Hakan

Abstract

This study demonstrates the existence of economically significant information spillovers between stock markets and markets for shipping freight by sea. Using multivariate correlation models on the returns of the Dow Jones Industrial Average (DJIA) and the Baltic Dry Index (BDI), we find mutual feedback between the two markets, which becomes stronger during the periods of financial turmoil. Results also suggest that the extent of information spillover between the markets varies over time, depending on market-specific conditions. We conclude that, being an indispensable factor for price discovery, such a relationship provides a link between two markets that are otherwise rather distinct with respect to the assessment of available information and real activity.

Suggested Citation

  • Erdogan, Oral & Tata, Kenan & Karahasan, B. Can & Sengoz, M. Hakan, 2013. "Dynamics of the co-movement between stock and maritime markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 282-290.
    • Handle: RePEc:eee:reveco:v:25:y:2013:i:c:p:282-290
    DOI: 10.1016/j.iref.2012.07.007
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    Cited by:

    1. Moyle, Brendan, 2014. "The raw and the carved: Shipping costs and ivory smuggling," Ecological Economics, Elsevier, vol. 107(C), pages 259-265.
    2. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility," Energy Economics, Elsevier, vol. 102(C).
    3. Lin, Arthur J. & Chang, Hai Yen & Hsiao, Jung Lieh, 2019. "Does the Baltic Dry Index drive volatility spillovers in the commodities, currency, or stock markets?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 265-283.
    4. Cao, N. & Galvani, V. & Gubellini, S., 2017. "Firm-specific stock and bond predictability: New evidence from Canada," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 174-192.
    5. Gong, Yuting & Li, Kevin X. & Chen, Shu-Ling & Shi, Wenming, 2020. "Contagion risk between the shipping freight and stock markets: Evidence from the recent US-China trade war," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    6. Chen, Mei-Ping & Chen, Wen-Yi & Tseng, Tseng-Chan, 2017. "Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 484-498.
    7. Tsai, Hui-Ju, 2014. "The informational efficiency of bonds and stocks: The role of institutional sized bond trades," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 34-45.
    8. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les & Xu, Danyang, 2021. "Pandemic-related financial market volatility spillovers: Evidence from the Chinese COVID-19 epicentre," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 55-81.
    9. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Dankwah, Boakye & Lee, Chi-Chuan, 2024. "Asymmetric dynamics between the Baltic Dry Index and financial markets during major global economic events," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    10. Graham, Michael & Peltomäki, Jarkko & Piljak, Vanja, 2016. "Global economic activity as an explicator of emerging market equity returns," Research in International Business and Finance, Elsevier, vol. 36(C), pages 424-435.
    11. Yimiao Gu & Zhenxi Chen & Qingyang Gu, 2022. "Determinants and international influences of the Chinese freight market," Empirical Economics, Springer, vol. 62(5), pages 2601-2618, May.
    12. 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).
    13. Cai, Wenxue & Liang, Fenfen & Wan, Yanchun & Zhong, Huiling & Gu, Yimiao, 2021. "An innovative approach for constructing a shipping index based on dynamic weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).

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    More about this item

    Keywords

    Stock markets; Maritime markets; Financial crisis; Multivariate volatility modeling;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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