IDEAS home Printed from https://ideas.repec.org/p/rie/riecdt/105.html

The Global Financial Cycle and Country Risk in Emerging Markets During Stress Episodes: A Copula-CoVaR Approach

Author

Listed:
  • Melo-Velandia, Luis Fernando
  • Romero-Chamorro, José Vicente
  • Ramírez-González, Mahicol Stiben

Abstract

In this paper,we analyze the tail-dependence structure of credit default swaps (CDS) and the global financial cycle for a group of eleven emerging markets. Using a Copula-CoVaR model,we provide evidence that there is a significant taildependence between variables related with the global financial cycle, such as the VIX, and emerging market CDS. These results are particularly important in the context of distressed global financial markets (right tail of the distributions of the VIX) because they provide international investors with relevant information on how to rebalance their portfolios and a more suitable metric to analyze sovereign risk that goes beyond the traditional CoVaR. Additionally, we present further evidence supporting the importance of the global financial cycle in sovereign risk dynamics.

Suggested Citation

  • Melo-Velandia, Luis Fernando & Romero-Chamorro, José Vicente & Ramírez-González, Mahicol Stiben, 2023. "The Global Financial Cycle and Country Risk in Emerging Markets During Stress Episodes: A Copula-CoVaR Approach," Working papers 105, Red Investigadores de Economía.
  • Handle: RePEc:rie:riecdt:105
    as

    Download full text from publisher

    File URL: https://repositorio.banrep.gov.co/bitstream/handle/20.500.12134/10620/be_1231.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Matos, Paulo & Alves, Douglas & Monteiro, Valdeir, 2025. "On the time-frequency effects of macroeconomic policy on growth cycles in Brazil," Research in International Business and Finance, Elsevier, vol. 73(PB).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rie:riecdt:105. 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: CAIE (email available below). General contact details of provider: https://edirc.repec.org/data/redcoea.html .

    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.