IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v103y2025ics1059056025005908.html
   My bibliography  Save this article

Central bank announcements and monitoring portfolio risks

Author

Listed:
  • Bui, Huynh Tuan Duy
  • Herwartz, Helmut
  • Wang, Shu

Abstract

This paper examines how FOMC announcements affect portfolio risks by assessing the real-time performance of conditional risk measures—specifically, value-at-risk (VaR) and expected shortfall (ES). Using threshold GARCH models with skewed-t innovations, we study six portfolios spanning equities, bonds, and gold over the period 2006–2019. While model-based risk forecasts generally align with nominal coverage levels, we document significant underperformance surrounding FOMC announcements, particularly when monetary policy (MP) surprises raise medium- and long-term bond yields. In contrast, short-term rate shocks and market-based risk shifts have more modest effects. Violations of VaR thresholds occur disproportionately on the day following announcements, revealing a delayed portfolio response to policy signals. To support risk monitoring, we propose a composite MP news indicator that aggregates the surprise components into a single scalar metric. This indicator effectively anticipates elevated shortfall risk during contractionary announcements and provides early-warning signals relevant for real-time portfolio rebalancing and regulatory stress testing.

Suggested Citation

  • Bui, Huynh Tuan Duy & Herwartz, Helmut & Wang, Shu, 2025. "Central bank announcements and monitoring portfolio risks," International Review of Economics & Finance, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:reveco:v:103:y:2025:i:c:s1059056025005908
    DOI: 10.1016/j.iref.2025.104427
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025005908
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104427?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

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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:reveco:v:103:y:2025:i:c:s1059056025005908. 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/inca/620165 .

    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.