IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v88y2024ics0927538x24002774.html
   My bibliography  Save this article

Conditional volatility targeting strategy considering jump effects: Evidence from sustainable ESG equity index

Author

Listed:
  • Huang, Jr-Wei
  • Yang, Sharon S.
  • Cheng, Hung-Wen

Abstract

This paper considers the sustainable ESG equity index in the proposed conditional volatility targeting strategy. The research first detects jump risk using a jump test and then extends Bongaerts et al. (2020) by addressing jump risk and employing different volatility models to project volatilities under the conditional volatility targeting strategy. To capture consideration of the fact that index return dynamics, we propose an ARMA-GARCH jump model that can capture the characteristics of jump persistence, autocorrelation, and volatility clustering according to the return of the sustainable equity index. Our numerical analyses reveal that the portfolio allocation using a sustainable equity index to predict volatility, combined with a conditional volatility target strategy, can achieve higher performance. Furthermore, the proposed ARMA-GARCH jump model can enhance the performance with conditional volatility targeting strategy.

Suggested Citation

  • Huang, Jr-Wei & Yang, Sharon S. & Cheng, Hung-Wen, 2024. "Conditional volatility targeting strategy considering jump effects: Evidence from sustainable ESG equity index," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:pacfin:v:88:y:2024:i:c:s0927538x24002774
    DOI: 10.1016/j.pacfin.2024.102525
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X24002774
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2024.102525?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:pacfin:v:88:y:2024:i:c:s0927538x24002774. 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/pacfin .

    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.