IDEAS home Printed from https://ideas.repec.org/a/taf/uteexx/v65y2020i4p363-380.html
   My bibliography  Save this article

Rates of return of investments whose timings are specified by a probability distribution

Author

Listed:
  • Boris Klebanov

Abstract

In this paper we describe an approach for calculating the rates of return of investments whose timing is uncertain. In the framework of the approach, we calculate the expected value of the rate of return. We extend the deterministic Endpoints and Modified Dietz rate of return models by viewing the investments transaction timings as random variables. Our main working assumption is that the transaction timings are uniformly distributed in a certain time interval. We study a series of new rate of return models that have a wide range of practical applications. Our results generalize some well-known rate of return formulas, including the renowned Modified Dietz formula. The models introduced in this paper provide one-period rates of return compliant with the Global Investment Performance Standards (GIPS) requirements. They can be used for GIPS-compliant calculations.

Suggested Citation

  • Boris Klebanov, 2020. "Rates of return of investments whose timings are specified by a probability distribution," The Engineering Economist, Taylor & Francis Journals, vol. 65(4), pages 363-380, October.
    • Handle: RePEc:taf:uteexx:v:65:y:2020:i:4:p:363-380
    DOI: 10.1080/0013791X.2019.1680784
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0013791X.2019.1680784
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0013791X.2019.1680784?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:uteexx:v:65:y:2020:i:4:p:363-380. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UTEE20 .

    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.