IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v11y2016icp13-17.html
   My bibliography  Save this article

Prospect theory and portfolio selection

Author

Listed:
  • Best, Michael J.
  • Grauer, Robert R.

Abstract

We examine prospect theory portfolios in asset allocation settings that include riskfree lending and borrowing, subject to margin constraints, and short sales restrictions on risky assets. In static settings, we focus on myopic loss aversion, which assumes loss averse investors are willing to take more risk if they evaluate their investment performance infrequently. The results show the portfolios, including those of the investor with a loss aversion coefficient of 2.25, are extremely unstable across decision horizons. In dynamic settings, the portfolios of investors with loss aversion on the order of two perform well. But in some instances the house money effect, where the position of the kink and the investor’s loss aversion changes with gains and losses, has a large negative impact on the wealth of these investors.

Suggested Citation

  • Best, Michael J. & Grauer, Robert R., 2016. "Prospect theory and portfolio selection," Journal of Behavioral and Experimental Finance, Elsevier, vol. 11(C), pages 13-17.
    • Handle: RePEc:eee:beexfi:v:11:y:2016:i:c:p:13-17
    DOI: 10.1016/j.jbef.2016.05.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S221463501630017X
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbef.2016.05.002?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
    ---><---

    Citations

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


    Cited by:

    1. Fortin, Ines & Hlouskova, Jaroslava, 2024. "Prospect theory and asset allocation," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 214-240.
    2. Huong Trang Kim & Quang Nguyen, 2024. "Linking top managers’ behavioural traits with business practices and firm performance," Review of Managerial Science, Springer, vol. 18(11), pages 3253-3296, November.
    3. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    4. Zsurkis, Gabriel & Nicolau, João & Rodrigues, Paulo M.M., 2024. "First passage times in portfolio optimization: A novel nonparametric approach," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1074-1085.
    5. Masoud Rahiminezhad Galankashi & Farimah Mokhatab Rafiei & Maryam Ghezelbash, 2020. "Portfolio selection: a fuzzy-ANP approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-34, December.
    6. Giannikos, Christos I. & Kakolyris, Andreas & Suen, Tin Shan, 2023. "Prospect theory and a manager's decision to trade a blind principal bid basket," Global Finance Journal, Elsevier, vol. 55(C).
    7. Michael J. Best & Robert R. Grauer, 2017. "Humans, Econs and Portfolio Choice," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-30, June.
    8. Yousra Trichilli & Hana Kharrat & Mouna Boujelbène Abbes, 2021. "Prospect theory and risk-taking behavior: an empirical investigation of Islamic and conventional banks," Journal of Asset Management, Palgrave Macmillan, vol. 22(3), pages 163-178, May.
    9. Zhang, Cheng & Gong, Xiaomin & Zhang, Jingshu & Chen, Zhiwei, 2023. "Dynamic portfolio allocation for financial markets: A perspective of competitive-cum-compensatory strategy," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    10. Stephen Bahadar & Muhammad Nadeem & Rashid Zaman, 2023. "Toxic chemical releases and idiosyncratic return volatility: A prospect theory perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2109-2143, June.
    11. Xin Yao & Hai-xiang Guo & Jian Zhu & Yong Shi, 2022. "Dynamic selection of emergency plans of geological disaster based on case-based reasoning and prospect theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2249-2275, February.

    More about this item

    Keywords

    Portfolio choice; Prospect theory; Kinked linear utility;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:eee:beexfi:v:11:y:2016:i:c:p:13-17. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.