IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v29y1983i9p1051-1061.html
   My bibliography  Save this article

Optimal Strategies for Selling an Asset

Author

Listed:
  • Donald B. Rosenfield

    (Arthur D. Little, Inc., Cambridge, Massachusetts)

  • Roy D. Shapiro

    (Harvard University)

  • David A. Butler

    (Oregon State University)

Abstract

This paper considers the problem of selling an asset on the open market. The seller receives a random sequence of price offers, which may arrive either periodically or randomly over time. After each offer is received, the seller must decide whether or not to sell, weighing the possibility of obtaining a better offer against the cost of waiting. A number of authors have established the properties of optimal selling policies when the distribution of offers is known and offers are received periodically. This paper investigates the conditions under which these same properties hold for an unknown offer distribution which is updated as successive offers are received.

Suggested Citation

  • Donald B. Rosenfield & Roy D. Shapiro & David A. Butler, 1983. "Optimal Strategies for Selling an Asset," Management Science, INFORMS, vol. 29(9), pages 1051-1061, September.
  • Handle: RePEc:inm:ormnsc:v:29:y:1983:i:9:p:1051-1061
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.29.9.1051
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ian I. Mitroff, 1972. "The Myth of Objectivity OR Why Science Needs a New Psychology of Science," Management Science, INFORMS, vol. 18(10), pages 613-618, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ee, Mong-Shan, 2009. "Asset-selling problem with an uncertain deadline, quitting offer, and search skipping option," European Journal of Operational Research, Elsevier, vol. 198(1), pages 215-222, October.
    2. Chun, Young H. & Plante, Robert D. & Schneider, Helmut, 2002. "Buying and selling an asset over the finite time horizon: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 136(1), pages 106-120, January.
    3. Chun, Young Hak, 1997. "Rank-based selection strategies for the random walk process," European Journal of Operational Research, Elsevier, vol. 96(2), pages 417-427, January.
    4. Chun, Young H., 1999. "Selecting the best choice in the full information group interview problem," European Journal of Operational Research, Elsevier, vol. 119(3), pages 635-651, December.
    5. Eric Johnson & Suzanne Shu & Benedict Dellaert & Craig Fox & Daniel Goldstein & Gerald Häubl & Richard Larrick & John Payne & Ellen Peters & David Schkade & Brian Wansink & Elke Weber, 2012. "Beyond nudges: Tools of a choice architecture," Marketing Letters, Springer, vol. 23(2), pages 487-504, June.
    6. Georgy Yu. Sofronov, 2016. "A multiple optimal stopping rule for a buying–selling problem with a deterministic trend," Statistical Papers, Springer, vol. 57(4), pages 1107-1119, December.
    7. Gerald Häubl & Benedict G. C. Dellaert & Bas Donkers, 2010. "Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search," Marketing Science, INFORMS, vol. 29(3), pages 438-455, 05-06.
    8. Sofronov, Georgy, 2013. "An optimal sequential procedure for a multiple selling problem with independent observations," European Journal of Operational Research, Elsevier, vol. 225(2), pages 332-336.

    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:29:y:1983:i:9:p:1051-1061. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc). General contact details of provider: http://edirc.repec.org/data/inforea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.