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A bootstrap dynamic multivariate panel Granger causality analysis to examine the relationship between the COVID-19, Delta and Omicron pandemic era and the maritime shipping freight industry

Author

Listed:
  • Wu, Tsung-Pao
  • Wu, Hung-Che
  • Liu, Ya-Tian
  • Wang, Chien-Ming
  • Wu, Cheng-Feng
  • Zheng, Yi

Abstract

This work applies a bootstrap multivariate panel Granger causality test to examine the causal relationship between the coronavirus disease 2019, Delta and Omicron pandemic eras and the maritime shipping freight industry across 15 Chinese marine transportation freight stocks through the data from Jannuary 23, 2020 to December 6, 2022. After accounting for both dependency and heterogeneity across these industries, we find support for six of the 15 maritime shipping freight enterprises which display a unidirectional Granger relationship between stock returns and pandemic-related shocks and five of them which demonstrate a bidirectional association. On the other hand, the stock values of three firms in this cohort Granger “lead” the epidemic, suggesting that the adjustment of expectations to external shocks and the efficient market hypothesis could elucidate apparent causal connections. The empirical findings of this work provide important policy implications for the maritime shipping freight industry.

Suggested Citation

  • Wu, Tsung-Pao & Wu, Hung-Che & Liu, Ya-Tian & Wang, Chien-Ming & Wu, Cheng-Feng & Zheng, Yi, 2024. "A bootstrap dynamic multivariate panel Granger causality analysis to examine the relationship between the COVID-19, Delta and Omicron pandemic era and the maritime shipping freight industry," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 719-733.
  • Handle: RePEc:eee:ecanpo:v:83:y:2024:i:c:p:719-733
    DOI: 10.1016/j.eap.2024.07.008
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    as
    1. Dirzka, Christopher & Acciaro, Michele, 2022. "Global shipping network dynamics during the COVID-19 pandemic's initial phases," Journal of Transport Geography, Elsevier, vol. 99(C).
    2. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    3. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    4. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    5. Wu, Tsung-Pao & Zheng, Yi & Wu, Hung-Che & Deng, Ruixin, 2024. "The causal relationship between the COVID-19, Delta and Omicron pandemic and the air transport industry: Evidence from China," Journal of Air Transport Management, Elsevier, vol. 116(C).
    6. Manuel Monge, 2022. "Bunker fuel, commodity prices and shipping market indices following the COVID-19 pandemic. A time-frequency analysis," International Economics, CEPII research center, issue 172, pages 29-39.
    7. Theo Notteboom & Thanos Pallis & Jean-Paul Rodrigue, 2021. "Disruptions and resilience in global container shipping and ports: the COVID-19 pandemic versus the 2008–2009 financial crisis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 179-210, June.
    8. Yanling Xu & Jing-Ping Li & Chien-Chi Chu & Gheorghita Dinca, 2022. "Impact of COVID-19 on transportation and logistics: a case of China," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 2386-2404, December.
    9. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    10. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    11. Gao Tianming & Vasilii Erokhin & Aleksandr Arskiy & Mikail Khudzhatov, 2021. "Has the COVID-19 Pandemic Affected Maritime Connectivity? An Estimation for China and the Polar Silk Road Countries," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    12. Chi‐Chuan Lee & Chien‐Chiang Lee & Yizhong Wu, 2023. "The impact of COVID‐19 pandemic on hospitality stock returns in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1787-1800, April.
    13. Monge, Manuel, 2022. "Bunker fuel, commodity prices and shipping market indices following the COVID-19 pandemic. A time-frequency analysis," International Economics, Elsevier, vol. 172(C), pages 29-39.
    14. Gu, Yimiao & Chen, Zhenxi & Lien, Donald & Luo, Meifeng, 2020. "Quantile hedge ratio for forward freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    15. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    16. Dmitry Ivanov & Ajay Das, 2020. "Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 13(1), pages 90-102.
    17. Richard S. Gray, 2020. "Agriculture, transportation, and the COVID‐19 crisis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(2), pages 239-243, June.
    18. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    19. Zhou, Wenyu & Zhou, Yujun & Zaremba, Adam & Long, Huaigang, 2024. "Stock market reactions under the shadow of the COVID-19 pandemic: Evidence from China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    20. Amir Qamar & Simon Collinson & Anne Green, 2023. "Covid-19 disruption, resilience and industrial policy: the automotive sector in the West Midlands," Regional Studies, Taylor & Francis Journals, vol. 57(6), pages 1156-1170, June.
    21. Helong Li & Huiqiong Chen & Guanglong Xu & Weiguo Zhang, 2023. "COVID-19, various government interventions and stock market performance," China Finance Review International, Emerald Group Publishing Limited, vol. 13(4), pages 621-632, September.
    22. Marta Mańkowska & Michał Pluciński & Izabela Kotowska & Ludmiła Filina-Dawidowicz, 2021. "Seaports during the COVID-19 Pandemic: The Terminal Operators’ Tactical Responses to Disruptions in Maritime Supply Chains," Energies, MDPI, vol. 14(14), pages 1-22, July.
    23. 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.
    24. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    25. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    26. Jiongye Jin & Jianing Zhang, 2023. "The Stock Performance of Green Bond Issuers During COVID-19 Pandemic: The Case of China," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 211-230, March.
    27. repec:pri:cepsud:91malkiel is not listed on IDEAS
    28. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    29. Alexander W. Bartik & Marianne Bertrand & Zoe Cullen & Edward L. Glaeser & Michael Luca & Christopher Stanton, 2020. "The impact of COVID-19 on small business outcomes and expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(30), pages 17656-17666, July.
    30. Tsung-Pao Wu & Chi-Han Ai & Hung-Che Wu, 2023. "The linkage between international tourism receipts and economic development: Evidence from quantile-on-quantile approaches," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(8), pages 1327-1340, April.
    31. Xiuping Ji & Naipeng (Tom) Bu & Chen Zheng & Honggen Xiao & Caixia Liu & Xuesheng Chen & Kangping Wang, 2024. "Stock market reaction to the COVID-19 pandemic: an event study," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 167-186, January.
    32. 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.
    33. Jensen, Michael C & Bennington, George A, 1970. "Random Walks and Technical Theories: Some Additional Evidence," Journal of Finance, American Finance Association, vol. 25(2), pages 469-482, May.
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    More about this item

    Keywords

    China; Maritime shipping freight industry; COVID-19; Delta and Omicron pandemic eras; Dynamic analysis; Panel Granger causality; Government policies; Efficient market hypothesis;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • F1 - International Economics - - Trade
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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