IDEAS home Printed from https://ideas.repec.org/a/taf/jsustf/v13y2023i2p1009-1029.html
   My bibliography  Save this article

Is there a cost for sustainable investments: evidence from dynamic conditional correlation

Author

Listed:
  • Gagan Deep Sharma
  • Gaurav Talan
  • Sanchita Bansal
  • Mansi Jain

Abstract

Sustainable investment avenues provide an additional return (than just financial return) in terms of contribution towards sustainability and sustainable indexes. We examine if the investors who put their money in sustainable avenues need to forego a part of their financial return. For that purpose, we compare the conditional correlation and volatility behavior of sustainable indexes and typical indexes by applying the Dynamic Conditional Correlation – GARCH model. The study is based on secondary data of Morgan Stanley Capital International (MSCI) (for conventional indexes) and Thomson Reuters indexes (as a proxy for sustainability-based indexes) using the daily closing values for a period of 5 years from January 2013 to December 2017. By concluding that the investors may switch to sustainable investment avenues without compromising on the front of return or risk, this study offers critical insight to the potential investors across developed and developing markets.

Suggested Citation

  • Gagan Deep Sharma & Gaurav Talan & Sanchita Bansal & Mansi Jain, 2023. "Is there a cost for sustainable investments: evidence from dynamic conditional correlation," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 13(2), pages 1009-1029, April.
  • Handle: RePEc:taf:jsustf:v:13:y:2023:i:2:p:1009-1029
    DOI: 10.1080/20430795.2021.1874215
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20430795.2021.1874215
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20430795.2021.1874215?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

    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:taf:jsustf:v:13:y:2023:i:2:p:1009-1029. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSFI20 .

    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.