IDEAS home Printed from https://ideas.repec.org/a/eee/glofin/v61y2024ics1044028324000449.html
   My bibliography  Save this article

Does asset-based uncertainty drive asymmetric return connectedness across regional ESG markets?

Author

Listed:
  • Bhattacherjee, Purba
  • Mishra, Sibanjan
  • Bouri, Elie

Abstract

This paper investigates the impact of asset-based uncertainty on the asymmetric return connectedness and hedging effectiveness of regional environmental, social and governance (ESG) equity markets from January 2017 to December 2022. The results of the asymmetric time-varying parameter vector autoregressive connectedness approach show strong dynamic connectedness within regional ESG markets, with the dominance of negative returns intensifying during COVID-19. Quantile regressions reveal that uncertainty in crude oil and bond markets negatively affects asymmetric return connectedness across bearish, normal and bullish market periods, whereas uncertainty in stock, gold and exchange rate markets has a positive impact. Overall, asset-based uncertainty influences negative return connectedness more than positive return connectedness, and a varied influence of asset-based uncertainty is noted during COVID-19 and the Russia–Ukraine war. A portfolio analysis shows that all ESG markets significantly contribute to higher hedging effectiveness, with a portfolio constructed based on the minimum connectedness approach outperforming the other portfolios. The findings provide policy implications for portfolio and risk management strategies.

Suggested Citation

  • Bhattacherjee, Purba & Mishra, Sibanjan & Bouri, Elie, 2024. "Does asset-based uncertainty drive asymmetric return connectedness across regional ESG markets?," Global Finance Journal, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:glofin:v:61:y:2024:i:c:s1044028324000449
    DOI: 10.1016/j.gfj.2024.100972
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1044028324000449
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.gfj.2024.100972?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

    Keywords

    ESG leaders index; TVP-VAR model; Asymmetric return spillover effect; Hedging effectiveness; Portfolio implications; COVID-19 outbreak; Russia–Ukraine war;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:glofin:v:61:y:2024:i:c:s1044028324000449. 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/620162 .

    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.