IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v98y2026ics0927538x26001022.html

Tail-risk spillovers from local government bonds to financial sectors in China

Author

Listed:
  • Guo, Yanhong
  • Huang, Jinbo

Abstract

This paper investigates the tail-risk contagion mechanism from local government bonds (LGBs) to the financial sector in China. Using dynamic network models, we construct three daily time-varying tail-risk contagion networks from 2017 to June 2025, including LGBs, financial sector, and the total nodes (LGBs and financial institutions). Then, we compare the patterns of tail-risk spillover networks across three significant cases, including the announcement of local government special-purpose bonds issuing, the COVID-19 pandemic, and the swapping existing hidden debts. Besides, we analyze the tail-risk spillovers from LGBs to the financial sector from the perspective of network density, risk takers, geographical location of financial institutions and macroeconomic variables. We find that the implementation of polices of LGBs is efficient for controlling tail-risk contagions. Geographical proximity is identified as a critical factor within tail-risk contagion network, wherein listed financial institutions and LGBs within the same region exhibit pronounced tail-risk spillovers. WTI and exchange rates also have important influences. Finally, our paper offers underscore the complex interdependence and highlights the importance of regional risk monitoring and macroprudential policies.

Suggested Citation

  • Guo, Yanhong & Huang, Jinbo, 2026. "Tail-risk spillovers from local government bonds to financial sectors in China," Pacific-Basin Finance Journal, Elsevier, vol. 98(C).
  • Handle: RePEc:eee:pacfin:v:98:y:2026:i:c:s0927538x26001022
    DOI: 10.1016/j.pacfin.2026.103156
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X26001022
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.pacfin.2026.103156?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

    for a different version of it.

    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:eee:pacfin:v:98:y:2026:i:c:s0927538x26001022. 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.elsevier.com/locate/pacfin .

    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.