IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v22y2021i1p74-83.html
   My bibliography  Save this article

Conditional Risk Premiums and the Value Function of Prospect Theory

Author

Listed:
  • Martin Walther
  • Markus Münster

Abstract

This paper examines whether stock returns are consistent with the value function of prospect theory. We find that beta given a gain yields positive conditional premiums on returns while beta given a loss yields negative conditional premiums. This reflects the fact that the value function is concave for gains and convex for losses, implying risk-averse behavior for gains and risk-seeking behavior for losses respectively. Furthermore, the absolute value of the premiums is greater for losses, which is in line with the value function being steeper in this state. These new findings provide indication that investors behave according to prospect theory.

Suggested Citation

  • Martin Walther & Markus Münster, 2021. "Conditional Risk Premiums and the Value Function of Prospect Theory," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(1), pages 74-83, January.
  • Handle: RePEc:taf:hbhfxx:v:22:y:2021:i:1:p:74-83
    DOI: 10.1080/15427560.2020.1735390
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2020.1735390
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/15427560.2020.1735390?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. Felix Reichenbach & Martin Walther, 2023. "Financial recommendations on Reddit, stock returns and cumulative prospect theory," Digital Finance, Springer, vol. 5(2), pages 421-448, June.
    2. Chi-Lu Peng & Wen-Kuei Chen & An-Pin Wei, 2021. "Teaching CAPM for a Pre-Finance Graduate Program at the STEM Undergraduate Level: Linear Algebra Perspective," Mathematics, MDPI, vol. 9(14), pages 1-22, July.
    3. Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
    4. Jiang, Ping & Wang, Xinyi & Yuan, Bozong & Zhao, Lu, 2024. "Do investors prefer multiple small bad news events or a single big one? Evidence from the Chinese stock market," Finance Research Letters, Elsevier, vol. 62(PA).

    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:hbhfxx:v:22:y:2021:i:1:p:74-83. 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/hbhf .

    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.