IDEAS home Printed from https://ideas.repec.org/a/bla/buecrs/v71y2019i4p585-598.html
   My bibliography  Save this article

Systemic risk contagion in FX market: A frequency connectedness and network analysis

Author

Listed:
  • Onur Polat

Abstract

In this study, we analyse systemic risk contagion between a set of most actively traded currencies (EURO, JPY, GBP, AUD, CAD and CHF) by application of VAR based frequency connectedness proposed by Baruník and Křehlík. By using this novel approach, we gauge foreign exchange (FX) market connectedness in 200‐day frequency band using spectral representation of variance decompositions of VAR and identify directional spillovers between the most actively traded foreign exchange rates. Dynamics of the overall spillover index reveals that the index capture well‐known financial stress incidents properly. Finally, network topology of directional spillovers between currency pairs is provided for visulalization interconnectedness between them.

Suggested Citation

  • Onur Polat, 2019. "Systemic risk contagion in FX market: A frequency connectedness and network analysis," Bulletin of Economic Research, Wiley Blackwell, vol. 71(4), pages 585-598, October.
    • Handle: RePEc:bla:buecrs:v:71:y:2019:i:4:p:585-598
    DOI: 10.1111/boer.12197
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/boer.12197
    Download Restriction: no
    File URL: https://libkey.io/10.1111/boer.12197?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
    ---><---

    Citations

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


    Cited by:

    1. Fernanda Fuentes & Rodrigo Herrera, 2020. "Dynamics of Connectedness in Clean Energy Stocks," Energies, MDPI, vol. 13(14), pages 1-19, July.
    2. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    3. Qi, Haozhi & Wu, Tiantian & Chen, Hao & Lu, Xiuling, 2023. "Time-frequency connectedness and cross-quantile dependence between carbon emission trading and commodity markets: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    4. Pramod C. Mane & Nagarajan Krishnamurthy & Kapil Ahuja, 2023. "Resource availability in the social cloud: An economics perspective," Bulletin of Economic Research, Wiley Blackwell, vol. 75(2), pages 541-566, April.

    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:bla:buecrs:v:71:y:2019:i:4:p:585-598. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0307-3378 .

    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.