IDEAS home Printed from https://ideas.repec.org/a/eee/mulfin/v72y2024ics1042444x23000452.html
   My bibliography  Save this article

The international linkages of market risk perception

Author

Listed:
  • Serrano, Pedro
  • Vaello-Sebastià, Antoni
  • Vich-Llompart, M. Magdalena

Abstract

This article studies the international linkages of market risk perception, which embeds a statistical measure of risk as well as the subjective beliefs and preferences of the representative investor. We find high commonality between the risk perception of different countries/economic areas, with a first principal component explaining more than 80% of the total variability. The level of integration is dynamic, peaking during crises. A connectedness analysis shows that the transmission of shocks goes from Western to Asia-Pacific economies. We also disentangle whether risk perception spillovers are due to shocks in the aggregate risk aversion or a resolution of uncertainty. A local projection analysis documents a short-term impact of risk aversion in the perception of risk. Uncertainty is also statistically significant, and although their effects are milder they span for longer periods.

Suggested Citation

  • Serrano, Pedro & Vaello-Sebastià, Antoni & Vich-Llompart, M. Magdalena, 2024. "The international linkages of market risk perception," Journal of Multinational Financial Management, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:mulfin:v:72:y:2024:i:c:s1042444x23000452
    DOI: 10.1016/j.mulfin.2023.100826
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1042444X23000452
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.mulfin.2023.100826?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

    Keywords

    Arrow–Debreu prices; Options; Integration; Risk aversion; Uncertainty;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:mulfin:v:72:y:2024:i:c:s1042444x23000452. 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/mulfin .

    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.