IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v10y1964i2p335-341.html
   My bibliography  Save this article

A Method for Allocating Funds to Investment Projects when Returns are Subject to Uncertainty

Author

Listed:
  • Joel Cord

    (A. O. Smith Corporation, Milwaukee, Wisconsin)

Abstract

A method is developed for optimally selecting capital investments with uncertain returns, under conditions of limited funds and a constraint on the maximum average variance allowed in the final investment package. The concepts involved in the analysis are somewhat related to Markowitz's work on the portfolio problem. Dynamic programming is used to compute solutions.

Suggested Citation

  • Joel Cord, 1964. "A Method for Allocating Funds to Investment Projects when Returns are Subject to Uncertainty," Management Science, INFORMS, vol. 10(2), pages 335-341, January.
    • Handle: RePEc:inm:ormnsc:v:10:y:1964:i:2:p:335-341
    DOI: 10.1287/mnsc.10.2.335
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.10.2.335
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.10.2.335?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. Heidenberger, Kurt, 1996. "Dynamic project selection and funding under risk: A decision tree based MILP approach," European Journal of Operational Research, Elsevier, vol. 95(2), pages 284-298, December.
    2. Raquel Sanchis & Raúl Poler, 2019. "Enterprise Resilience Assessment—A Quantitative Approach," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
    3. Naldi, Maurizio & Nicosia, Gaia & Pacifici, Andrea & Pferschy, Ulrich, 2019. "Profit-fairness trade-off in project selection," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 133-146.
    4. Zhouchun Huang & Qipeng Phil Zheng & Eduardo Pasiliao & Vladimir Boginski & Tao Zhang, 2019. "A cutting plane method for risk-constrained traveling salesman problem with random arc costs," Journal of Global Optimization, Springer, vol. 74(4), pages 839-859, August.
    5. Supachart Iamratanakul, 2013. "The Selection of Project in Rapid Environment’s Industry Using Zero Based Budget," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.

    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:10:y:1964:i:2:p:335-341. 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.