IDEAS home Printed from https://ideas.repec.org/a/taf/ufajxx/v78y2022i3p115-127.html
   My bibliography  Save this article

Evolutionary Finance for Multi-Asset Investors

Author

Listed:
  • Michael Schnetzer
  • Thorsten Hens

Abstract

Standard strategic asset allocation procedures usually neglect market interaction. However, returns are not generated in a vacuum but the result of the market’s price discovery mechanism. Evolutionary finance accounts for this and endogenizes asset prices.This paper develops a multi-asset evolutionary finance model. Requiring little more than dividend and interest rate data, it provides a valuable guide to this class of models. While traditional mean/variance optimization is concerned with finding the optimal allocation, evolutionary finance’s focus is on finding the optimal strategy. This paper shows that yield-based strategies outperform competing alternatives and are evolutionarily advantageous for multi-asset investors.

Suggested Citation

  • Michael Schnetzer & Thorsten Hens, 2022. "Evolutionary Finance for Multi-Asset Investors," Financial Analysts Journal, Taylor & Francis Journals, vol. 78(3), pages 115-127, July.
  • Handle: RePEc:taf:ufajxx:v:78:y:2022:i:3:p:115-127
    DOI: 10.1080/0015198X.2022.2071581
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0015198X.2022.2071581
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0015198X.2022.2071581?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:ufajxx:v:78:y:2022:i:3:p:115-127. 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/ufaj20 .

    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.