IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v30y2023i7p960-964.html
   My bibliography  Save this article

Newspaper-based equity uncertainty or implied volatility index: new evidence from oil market volatility predictability

Author

Listed:
  • Xinjie Lu
  • Feng Ma
  • Pan Li
  • Tao Li

Abstract

This article investigates two equity-oriented market volatility measures, newspaper-based equity market volatility (EMV) index and COBE-implied volatility index (VIX), which contain more predictive contents for the oil futures market based on a Markov regime-switching method. We find that both EMV and VIX contain valuable content for the oil market. Interestingly, the predictive performance of the model containing both EMV and regime switching is better than that of the model containing VIX and regime switching, further showing that EMV can be more powerful than VIX for oil futures volatility when considering regime switching. Our study tries to provide new insight into the oil futures market.

Suggested Citation

  • Xinjie Lu & Feng Ma & Pan Li & Tao Li, 2023. "Newspaper-based equity uncertainty or implied volatility index: new evidence from oil market volatility predictability," Applied Economics Letters, Taylor & Francis Journals, vol. 30(7), pages 960-964, April.
  • Handle: RePEc:taf:apeclt:v:30:y:2023:i:7:p:960-964
    DOI: 10.1080/13504851.2022.2030459
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2022.2030459
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2022.2030459?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

    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:taf:apeclt:v:30:y:2023:i:7:p:960-964. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.