IDEAS home Printed from https://ideas.repec.org/p/ags/quedwp/273310.html

Standardized Variables and Optimal Risky Investment

Author

Listed:
  • Milne, Frank
  • Neave, Edwin H.

Abstract

This paper studies the optimal risky investment problem with fewer restrictions on utilities, and more structure on risks, than does the current literature. It uses discrete random variables defined on a common domain, hereafter called standardized variables, to obtain new results without important loss of generality. The optimal amount of investment in a single risky asset does not always decrease as risk increases in the Rothschild-Stiglitz ([1970, 1971]; hereafter RS) sense. However, by using standardized variables to define wealth dependent measures of risk and return, the paper finds necessary and sufficient conditions on risks such that an increase in risk does cause decreasing optimal risky investment. The paper thus complements the RS results. For investment in two risky assets, the paper uses standardized variables to find conditions on risks such that the riskier asset's demand to decrease (increase) as the Arrow-Pratt absolute risk aversion index increases (decreases), and thereby complements Ross' [1981] results.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Milne, Frank & Neave, Edwin H., 1995. "Standardized Variables and Optimal Risky Investment," Queen's Economics Department Working Papers 273310, Queen's University - Department of Economics.
    • Handle: RePEc:ags:quedwp:273310
    DOI: 10.22004/ag.econ.273310
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273310/files/qed_wp_906.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273310?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
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;

    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:ags:quedwp:273310. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.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.