IDEAS home Printed from https://ideas.repec.org/a/taf/jsustf/v2y2012i3-4p303-317.html
   My bibliography  Save this article

Sustainable stock indices and long-term portfolio decisions

Author

Listed:
  • Robert J. Bianchi
  • Michael E. Drew

Abstract

What is the long-term behaviour of sustainable stock index returns and the accretive benefits to portfolio diversification? We consider these issues through the prism of a long-term investor by replicating the risk and reward behaviour of sustainable stock indices from 1927 through 2010. We find that these indices exhibit long-term mean, variance and tail-risk characteristics that are commensurate with conventional U.S. stocks. We also reveal that recent performance appears worse than their performance over the long term. On the question of portfolio diversification, we find that only one of the three sustainable stock indices investigated dominates the efficient frontier. Our findings suggest that the stock screening process of these indices has important implications regarding the desirability of these investments for long-term investors.

Suggested Citation

  • Robert J. Bianchi & Michael E. Drew, 2012. "Sustainable stock indices and long-term portfolio decisions," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 2(3-4), pages 303-317, October.
  • Handle: RePEc:taf:jsustf:v:2:y:2012:i:3-4:p:303-317
    DOI: 10.1080/20430795.2012.715577
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20430795.2012.715577
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20430795.2012.715577?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Girish Joshi & Ranjan Dash, 2023. "A Bibliometric Analysis of Climate Investing," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 396-407, May.
    2. Moonsoo Kang & K. G. Viswanathan & Nancy A. White & Edward J. Zychowicz, 2022. "Sustainability Efforts, Index Recognition, and Stock Performance," Springer Books, in: Marielle de Jong & Dan diBartolomeo (ed.), Risks Related to Environmental, Social and Governmental Issues (ESG), pages 45-57, Springer.

    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:2:y:2012:i:3-4:p:303-317. 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.