IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-052-7_156.html

Research on the Impact of Pandemic on U.S. Wholesale and Retail Industries Based on Fama-French Five Factor Model

In: Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022)

Author

Listed:
  • Mengqi Qiao

    (University of Melbourne, Faculty of Science)

Abstract

The COVID-19 pandemic is wreaking havoc on the global economy and people’s lives, especially in the wholesale and retail sectors, which are closely related to people’s basic needs. This paper will discuss the impact and changes of COVID-19 on wholesale and retail industry based on the Fama-French five-factor model. The founders of the Fama-French model built Kenneth R. French’s Web database based on data obtained from the relevant information of the U.S. stock market, which is the source of the experimental data in this paper. By extracting the data of 49 industry portfolios collected daily, the wholesale and retail industry data from 2018.01.25 to 2022.03.31 were obtained, and the average data of “Pre-epidemic” and “In-epidemic” groups were compared. Through multiple linear regression coefficients are obtained. The results show that the COVID-19 outbreak did have a negative impact on the wholesale and retail sectors but not overwhelmingly. HML and SMB are redundancy factors in wholesale and retail industries respectively, while CMA has changed from an effective factor to a redundancy factor.

Suggested Citation

  • Mengqi Qiao, 2022. "Research on the Impact of Pandemic on U.S. Wholesale and Retail Industries Based on Fama-French Five Factor Model," Advances in Economics, Business and Management Research, in: Faruk Balli & Au Yong Hui Nee & Sikandar Ali Qalati (ed.), Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022), pages 1404-1412, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-052-7_156
    DOI: 10.2991/978-94-6463-052-7_156
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-052-7_156. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.