IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v96y2024ipas1057521924005064.html
   My bibliography  Save this article

Oil price disaster risk, macroeconomic dynamics and monetary policy

Author

Listed:
  • Liu, Zongming
  • Shi, Wenhui

Abstract

Despite extensive research on the impact of oil price shocks, there is a gap in understanding the risk of oil price disaster event. This study addresses this gap by creating a quantitative measure for assessing oil price disaster risk using Bayesian methods and a specially designed Qualitative VAR model with U.S. data spanning from 1973Q1 to 2022Q2. Findings suggest that high oil price risk can lead to prolonged economic downturns and inflation. Furthermore, a DSGE model integrating oil price disaster risk is developed to explore its dynamic effects and align theoretical findings with empirical evidence. Additionally, the research delves into the economic implications of traditional and unconventional monetary policies in the presence of oil price disaster risk, highlighting key contrasts and underscoring the significance of term structure issues related to Federal Reserve guidance. The study's outcomes provide valuable insights for understanding the impact of oil price disaster risk and enhancing the effectiveness of monetary policy interventions.

Suggested Citation

  • Liu, Zongming & Shi, Wenhui, 2024. "Oil price disaster risk, macroeconomic dynamics and monetary policy," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  • Handle: RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005064
    DOI: 10.1016/j.irfa.2024.103574
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924005064
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103574?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.

    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:finana:v:96:y:2024:i:pa:s1057521924005064. 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/620166 .

    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.