IDEAS home Printed from https://ideas.repec.org/a/spr/reaccs/v3y1998i1d10.1023_a1009680401226.html
   My bibliography  Save this article

An Empirical Evaluation of the Usefulness of Non-GAAP Accounting Measures in the Real Estate Investment Trust Industry

Author

Listed:
  • Thomas D. Fields

    (Northwestern University)

  • Srinivasan Rangan

    (University of California-Davis)

  • S. Ramu Thiagarajan

    (Northwestern University)

Abstract

We conduct three sets of analyses to compare the usefulness of net income, based on generally accepted accounting principals (GAAP), and the industry-advanced funds from operations (FFO) in the context of the real estate investment trust (REIT) industry. In our first set of tests, we find that FFO is more strongly associated with one-year ahead FFO and one-year ahead operating cash flows than is net income. Conversely, we find that net income explains more variation in one-year ahead net income and current stock price than does FFO. Second, in support of the claim that some REITs manipulate FFO, we document that young REITs and REITs that are likely to access capital markets are more likely to manage FFO. Third, we find that, for a sample of firms that disclose current value information, both net income and FFO fail to reflect holding gains or losses on unsold properties in a timely manner. Overall, our analyses suggest that the REIT industry's claim that FFO is more useful than net income is premature because the superiority of one measure over the other is highly contextual.

Suggested Citation

  • Thomas D. Fields & Srinivasan Rangan & S. Ramu Thiagarajan, 1998. "An Empirical Evaluation of the Usefulness of Non-GAAP Accounting Measures in the Real Estate Investment Trust Industry," Review of Accounting Studies, Springer, vol. 3(1), pages 103-130, March.
  • Handle: RePEc:spr:reaccs:v:3:y:1998:i:1:d:10.1023_a:1009680401226
    DOI: 10.1023/A:1009680401226
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1009680401226
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/A:1009680401226?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:reaccs:v:3:y:1998:i:1:d:10.1023_a:1009680401226. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.