IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v23y2016i15p1069-1072.html
   My bibliography  Save this article

Don’t fear risk, learn about it: how familiarity reduces perceived risk

Author

Listed:
  • Tal Shavit
  • Eyal Lahav
  • Mosi Rosenboim

Abstract

This article suggests that learning about basic concepts concerning the risk and return of assets will reduce perceived risk. We show experimentally that people who learn about these basic concepts are willing to allocate more money to risky assets and consider the asset’s return relative to its risk.

Suggested Citation

  • Tal Shavit & Eyal Lahav & Mosi Rosenboim, 2016. "Don’t fear risk, learn about it: how familiarity reduces perceived risk," Applied Economics Letters, Taylor & Francis Journals, vol. 23(15), pages 1069-1072, October.
    • Handle: RePEc:taf:apeclt:v:23:y:2016:i:15:p:1069-1072
    DOI: 10.1080/13504851.2015.1133892
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2015.1133892
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2015.1133892?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. Israel, Avi & Lahav, Eyal & Ziv, Naomi, 2019. "Stop the music? The effect of music on risky financial decisions: An experimental study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    2. Ranjit Singh & Jayashree Bhattacharjee, 2019. "Measuring Equity Share Related Risk Perception of Investors in Economically Backward Regions," Risks, MDPI, vol. 7(1), pages 1-20, January.

    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:apeclt:v:23:y:2016:i:15:p:1069-1072. 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/RAEL20 .

    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.