IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v20y2020i12p2085-2100.html
   My bibliography  Save this article

Digital economy era: the role of the telecommunications sector in frequency-dependent default risk connectedness

Author

Listed:
  • Shimeng Shi
  • Pei Liu
  • Jiayuan Xin

Abstract

We use frequency-dependent connectedness measures to study the role played by the telecommunications (telecoms) sector in sectoral default risk connectedness at three frequency bands, i.e. the short-, medium-, and long-term financial cycles. We extend credit risk spillovers analysis from the time domain to the frequency domain. Our findings indicate that investors in the global CDS sector index market have different investment horizons, but they prefer to process default risk information mainly within one week. In the within-region analysis, except for North America, the telecoms sector plays a significant role in transmitting net credit risk to the other sectors, especially in the short-term financial cycle. In the cross-region analysis, the European telecoms sector is the major net default risk transmitter on all three frequency bands. Our study has noteworthy empirical implications for consumption-based asset pricing models, cross-sector credit risk connectivity, and regional financial stability.

Suggested Citation

  • Shimeng Shi & Pei Liu & Jiayuan Xin, 2020. "Digital economy era: the role of the telecommunications sector in frequency-dependent default risk connectedness," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 2085-2100, December.
  • Handle: RePEc:taf:quantf:v:20:y:2020:i:12:p:2085-2100
    DOI: 10.1080/14697688.2020.1814038
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2020.1814038
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697688.2020.1814038?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.

    More about this item

    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:taf:quantf:v:20:y:2020:i:12:p:2085-2100. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.