IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v19y1973i12p1407-1413.html
   My bibliography  Save this article

A Model for Cash Balance Management

Author

Listed:
  • Daniel P. Heyman

    (Bell Telephone Laboratories, Incorporated, Holmdel, New Jersey)

Abstract

A model for minimizing the average cash balance subject to a constraint on the probability of stock-out is presented. The cash balance is described as an inventory process that changes because of deterministic and stochastic events. Recursive systems of equations are given to find (1) the distribution function of the cash level at any time and (2) the probability that all demands during some time interval are met. Then we examine the problem: minimize the expected time average cash balance subject to the condition that the probability that all demands are satisfied is at least some given number. It is shown that the optimal policy has a very simple form, which can be expressed verbally as, "never have any more cash on hand than is necessary to satisfy the constraint."

Suggested Citation

  • Daniel P. Heyman, 1973. "A Model for Cash Balance Management," Management Science, INFORMS, vol. 19(12), pages 1407-1413, August.
  • Handle: RePEc:inm:ormnsc:v:19:y:1973:i:12:p:1407-1413
    DOI: 10.1287/mnsc.19.12.1407
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.19.12.1407
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.19.12.1407?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. Gary W. Emery, 1982. "Optimal Liquidity Policy: A Stochastic Process Approach," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 5(3), pages 273-283, September.
    2. Ben A. Chaouch, 2018. "Analysis of the stochastic cash balance problem using a level crossing technique," Annals of Operations Research, Springer, vol. 271(2), pages 429-444, December.
    3. Ágoston, Kolos Cs. & Benedek, Gábor & Gilányi, Zsolt, 2016. "Pareto improvement and joint cash management optimisation for banks and cash-in-transit firms," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1074-1082.
    4. Wei Luo & Kevin Shang, 2015. "Joint Inventory and Cash Management for Multidivisional Supply Chains," Operations Research, INFORMS, vol. 63(5), pages 1098-1116, October.

    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:19:y:1973:i:12:p:1407-1413. 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.