IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-098-5_75.html

Research on early warning method of major financial risk based on abnormal detection

In: Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

Author

Listed:
  • Xueke Song

    (Shenzhen Bao’an District Songgang Experimental School, Teaching Department)

Abstract

With the continuous advancement of the digitization of the supply chain in the financial field, the integration of manufacturing and retail has become one of the development trends of financial digitization, and data resources have gradually become a bridge between production and sales. The Customer-to-Manufactory (C2M) e-commerce model with user-driven industrial customized production has become one of the important ways for the manufacturing industry to achieve digital transformation. However, the C2M e-commerce model has obstacles and bottlenecks in practice, mainly in two aspects: First, digital capabilities need to be improved. Second, the development of big data resources related to consumers is insufficient. Therefore, this study explores the early warning ideas of major risk methods through the analysis of abnormal detection values.

Suggested Citation

  • Xueke Song, 2023. "Research on early warning method of major financial risk based on abnormal detection," Advances in Economics, Business and Management Research, in: Hrushikesh Mallick & Gaikar Vilas B. & Ong Tze San (ed.), Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), pages 660-664, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-098-5_75
    DOI: 10.2991/978-94-6463-098-5_75
    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:978-94-6463-098-5_75. 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.