IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v22y1976i11p1258-1267.html
   My bibliography  Save this article

Multi-Period Consumption Decision under Conditions of Uncertainty

Author

Listed:
  • Haim Levy

    (The Hebrew University of Jerusalem)

Abstract

An investor is faced with several investment alternatives. Any investment plan induces a vector of consumption where the consumption in each period is a random variable. Obviously, the optimal vector of consumption is determined by the multi-period utility function. However, in most cases we have no information on the investor's preference, and hence we cannot choose the optimal consumption strategy. Assuming that the multi-period utility function is nondecreasing we establish a decision rule which divides the feasible set of consumption strategies into two sets: the "efficient set" and the "inefficient set." Thus, in the second step each investor selects the optimal consumption strategy from the efficient set according to his preference.

Suggested Citation

  • Haim Levy, 1976. "Multi-Period Consumption Decision under Conditions of Uncertainty," Management Science, INFORMS, vol. 22(11), pages 1258-1267, July.
  • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:11:p:1258-1267
    DOI: 10.1287/mnsc.22.11.1258
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.22.11.1258
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.22.11.1258?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. Chen, Yi-Hsuan & Vinogradov, Dmitri V., 2021. "Coins with benefits: On existence, pricing kernel and risk premium of cryptocurrencies," IRTG 1792 Discussion Papers 2021-006, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Jeffrey, Scott R., 1987. "The Application Of Stochastic Dominance Techniques To Multi-Period Problems: Issues And Implications," Staff Papers 13547, University of Minnesota, Department of Applied Economics.
    3. Levy, Haim & Wiener, Zvi, 2013. "Prospect theory and utility theory: Temporary versus permanent attitude toward risk," Journal of Economics and Business, Elsevier, vol. 68(C), pages 1-23.

    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:inm:ormnsc:v:22:y:1976:i:11:p:1258-1267. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.