IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v83y2024icp719-733.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592624001759
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2024.07.008?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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

    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:eee:ecanpo:v:83:y:2024:i:c:p:719-733. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.