IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v13y2025i5p95-d1654518.html
   My bibliography  Save this article

Uncovering Systemic Risk in ASEAN Corporations: A Framework Based on Graph Theory and Hidden Models

Author

Listed:
  • Marc Cortés Rufé

    (Department of Business, University of Barcelona, 08007 Barcelona, Spain)

  • Jordi Martí Pidelaserra

    (Department of Business, University of Barcelona, 08007 Barcelona, Spain)

  • Cecilia Kindelán Amorrich

    (ESIC Business & Marketing School, ESIC University, 28001 Madrid, Spain)

Abstract

In the context of an ever-evolving global economy, ASEAN companies face dynamic systemic risk that reshapes their financial interrelationships. This study examines the transmission of these risks using advanced graph theory techniques, particularly the measurement of eigenvector centrality based on Euclidean distances, combined with a hidden model that incorporates macroeconomic variables, such as GDP. The research focuses on identifying critical nodes within the corporate network, evaluating their contagion potential—both in terms of reinforcing resilience and amplifying vulnerabilities—and analyzing the influence of external factors on the network’s structure and behavior. The findings offer an innovative framework for managing systemic risk and provide strategic guidelines for the formulation of economic policies in emerging ASEAN markets.

Suggested Citation

  • Marc Cortés Rufé & Jordi Martí Pidelaserra & Cecilia Kindelán Amorrich, 2025. "Uncovering Systemic Risk in ASEAN Corporations: A Framework Based on Graph Theory and Hidden Models," Risks, MDPI, vol. 13(5), pages 1-22, May.
    • Handle: RePEc:gam:jrisks:v:13:y:2025:i:5:p:95-:d:1654518
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/13/5/95/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-9091/13/5/95/
    Download Restriction: no
    ---><---

    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:gam:jrisks:v:13:y:2025:i:5:p:95-:d:1654518. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.