IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v141y2025ics0140988324007400.html
   My bibliography  Save this article

Performance of energy ETFs and climate risks

Author

Listed:
  • Nguyen, Minh Nhat
  • Liu, Ruipeng
  • Li, Youwei

Abstract

We investigate whether green (brown) portfolios constructed from clean energy ETFs (fossil fuel ETFs) yield positive (negative) returns conditional on climate-related risks. While the green portfolios do not unconditionally outperform the brown ones, the outperformance of green portfolios is statistically significant under the conditional setting using non-parametric estimates with imposing inequality restrictions. Our conditional studies also show that brown portfolios are riskier than green ones with various measurements. We present the heterogeneity in the effect of climate information on the return and risk of green and brown portfolios. Furthermore, we document that fund flows for green assets are higher than those for brown ones during periods of high climate risks. Our findings are robust to alternative specifications.

Suggested Citation

  • Nguyen, Minh Nhat & Liu, Ruipeng & Li, Youwei, 2025. "Performance of energy ETFs and climate risks," Energy Economics, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324007400
    DOI: 10.1016/j.eneco.2024.108031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988324007400
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2024.108031?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

    Clean energy ETFs; Fossil fuel ETFs; Climate risks; Inequality tests; Portfolio returns; Semibeta; idiosyncratic risks;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:141:y:2025:i:c:s0140988324007400. 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.