IDEAS home Printed from https://ideas.repec.org/a/cup/jfinqa/v6y1971i05p1235-1250_02.html
   My bibliography  Save this article

Two Problems in Portfolio Analysis: Conditional and Multiplicative Random Variables

Author

Listed:
  • Stevens, Guy V. G.

Abstract

The purpose of this paper is to consider some problems arising in several applications of the theory of portfolio analysis pioneered by Markowitz [8] and Tobin [13]. This theory of asset choice under uncertainty has been applied to a large and growing set of problems beyond the original application to the selection of the investor's optimal portfolio, e.g., the capital budgeting decision of the firm (Lintner [7]), international capital flows (Grubel [5]), the choice of an export mix for a country (Brainard and Cooper [1] and the flow of direct investment (Stevens [12] and Prachowny [10]). In all applications a common element is the set of efficient portfolios which, in turn, is determined. by the set of moments—means, variances, and covariances—of the returns from the different assets that are. Considered for inclusion in the portfolio.

Suggested Citation

  • Stevens, Guy V. G., 1971. "Two Problems in Portfolio Analysis: Conditional and Multiplicative Random Variables," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 6(5), pages 1235-1250, December.
    • Handle: RePEc:cup:jfinqa:v:6:y:1971:i:05:p:1235-1250_02
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022109000022225/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Guy V. G. Stevens, 1973. "The multinational firm and the determinants of investment," International Finance Discussion Papers 29, Board of Governors of the Federal Reserve System (U.S.).
    2. Peter B. Clark, 1973. "Uncertainty, Exchange Risk, And The Level Of International Trade," Economic Inquiry, Western Economic Association International, vol. 11(3), pages 302-313, September.
    3. Booth, Laurence, 2003. "Discounting expected values with parameter uncertainty," Journal of Corporate Finance, Elsevier, vol. 9(5), pages 505-519, November.
    4. John Lintner, 1976. "Interest Rate Expectations and Optimal Forward Commitments for Institutional Investors," NBER Chapters, in: Explorations in Economic Research, Volume 3, number 4, pages 445-520, National Bureau of Economic Research, Inc.

    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:cup:jfinqa:v:6:y:1971:i:05:p:1235-1250_02. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jfq .

    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.