IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v126y2023ics0140988323003109.html
   My bibliography  Save this article

Time-varying tail risk connectedness among sustainability-related products and fossil energy investments

Author

Listed:
  • Lucey, Brian
  • Ren, Boru

Abstract

In this paper, we analyse the dynamic transmission of tail risk across a set of well-established sustainability-related financial indices & equities and energy assets using a novel CAViaR-TVP-VAR connectedness measure on daily data from 14 October 2014 to 31 August 2022. Findings suggest that the total risk connectedness is at medium level and the short-run effect of COVID-19 on the risk transmission was mild. Furthermore, ESG and green equities are persistent net risk transmitters, while green bond, carbon asset, and energy commodities are tail risk takers. The role of renewable energy stocks is inconclusive due to distinct time-varying characteristics. With reference to pairwise relationship, we show that sustainability equities strongly interact with crude oil futures and fossil energy equities. Furthermore, green bond, carbon, natural gas and coal futures weakly associate with the remaining assets in the system. Finally, we find that EPU, OVX, VIX, GPR, and the spread of US Treasury have asymmetric impact on the spillovers. Altogether, our results offer insightful implications for policymakers and especially for “green” and “brown” products investors in risk diversification from the VaR perspective.

Suggested Citation

  • Lucey, Brian & Ren, Boru, 2023. "Time-varying tail risk connectedness among sustainability-related products and fossil energy investments," Energy Economics, Elsevier, vol. 126(C).
    • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323003109
    DOI: 10.1016/j.eneco.2023.106812
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988323003109
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2023.106812?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; Green bond; Clean energy; Carbon; Energy commodities/equities; Spillovers; VaR;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • 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
    • F3 - International Economics - - International Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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:eneeco:v:126:y:2023:i:c:s0140988323003109. 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/eneco .

    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.