IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v492y2018icp2273-2280.html
   My bibliography  Save this article

Endogenous network of firms and systemic risk

Author

Listed:
  • Ma, Qianting
  • He, Jianmin
  • Li, Shouwei

Abstract

We construct an endogenous network characterized by commercial credit relationships connecting the upstream and downstream firms. Simulation results indicate that the endogenous network model displays a scale-free property which exists in real-world firm systems. In terms of the network structure, with the expansion of the scale of network nodes, the systemic risk increases significantly, while the heterogeneities of network nodes have no effect on systemic risk. As for firm micro-behaviors, including the selection range of trading partners, actual output, labor requirement, price of intermediate products and employee salaries, increase of all these parameters will lead to higher systemic risk.

Suggested Citation

  • Ma, Qianting & He, Jianmin & Li, Shouwei, 2018. "Endogenous network of firms and systemic risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2273-2280.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:2273-2280
    DOI: 10.1016/j.physa.2017.11.141
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117311925
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2017.11.141?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiang, Shanshan & Fan, Hong, 2018. "Credit risk contagion coupling with sentiment contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 186-202.
    2. Jiang, Shanshan & Fan, Hong, 2021. "Systemic risk in the interbank market with overlapping portfolios and cross-ownership of the subordinated debts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    3. Ma, Qianting & Zhou, Yueshu & Wang, Jiaji, 2024. "The impact of climate change on credit risk of rural financial institutions: A threshold effect based on agricultural insurance," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).

    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:phsmap:v:492:y:2018:i:c:p:2273-2280. 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/physica-a-statistical-mechpplications/ .

    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.