IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v95y2024ipbs1057521924003442.html
   My bibliography  Save this article

State-dependent intra-day volatility pattern and its impact on price jump detection - Evidence from international equity indices

Author

Listed:
  • Tsai, Ping Chen
  • Eom, Cheoljun
  • Wang, Chou Wen

Abstract

Current price jump tests assume a constant intra-day volatility pattern (IVP) over sample period. We test this assumption by allowing IVP to depend on some state variables such as the sign of previous returns or the relative levels of volatility. Estimation results from 5-min GARCH model for four equity indices show that squared-return-based IVP weights increase in early morning hours when previous returns are negative, suggesting an asymmetric IVP. For a jump-robust IVP estimator, distinct responses are found for days with Realized Variance (RV) increasing from the previous day. Our results are consistent with and complement recent studies on time-varying IVP. Price jumps obtained using the state-dependent IVP are more prudent, show lower degree of clustering and are less concentrated over trading hours.

Suggested Citation

  • Tsai, Ping Chen & Eom, Cheoljun & Wang, Chou Wen, 2024. "State-dependent intra-day volatility pattern and its impact on price jump detection - Evidence from international equity indices," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    • Handle: RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924003442
    DOI: 10.1016/j.irfa.2024.103412
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924003442
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.irfa.2024.103412?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:95:y:2024:i:pb:s1057521924003442. 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.