IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v48y2020i1p89-134.html
   My bibliography  Save this article

Real Estate Returns by Strategy: Have Value‐Added and Opportunistic Funds Pulled Their Weight?

Author

Listed:
  • Joseph L. Pagliari

Abstract

Real estate strategies broadly fall into three categories: core, value‐added and opportunistic. This empirical examination of net returns from these three strategies indicates that, on a risk‐adjusted basis, the value‐added funds have strongly underperformed and the returns from opportunistic funds have weakly underperformed the returns available from core funds. In so concluding, this article departs from standard asset‐pricing models in two important respects: the total risk is used and the cost of borrowing increases as leverage increases. While the first departure has no substantive effect, the second departure lowers the estimate of the underperformance of noncore funds.

Suggested Citation

  • Joseph L. Pagliari, 2020. "Real Estate Returns by Strategy: Have Value‐Added and Opportunistic Funds Pulled Their Weight?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(1), pages 89-134, March.
    • Handle: RePEc:bla:reesec:v:48:y:2020:i:1:p:89-134
    DOI: 10.1111/1540-6229.12190
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6229.12190
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1540-6229.12190?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. Fuerst, Franz & Mansley, Nick & Wang, Zilong, 2021. "Do specialist funds outperform? Evidence from European non-listed real estate funds," Research in International Business and Finance, Elsevier, vol. 58(C).
    2. Mansley, Nick & Tse, Tiffany Ching Man & Wang, Zilong, 2020. "Risk classification of Asian real estate funds and their performance," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    3. Martin Hoesli & Graeme Newell & Muhammad Jufri Bin Marzuki & Rose Neng Lai, 2022. "The Performance and Diversification Potential of Non-Listed Value-Add Real Estate Funds in Japan," JRFM, MDPI, vol. 15(5), pages 1-16, April.
    4. Jianhua Gang & Liang Peng & Thomas G. Thibodeau, 2020. "Risk and Returns of Income Producing Properties: Core versus Noncore," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(2), pages 476-503, June.

    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:bla:reesec:v:48:y:2020:i:1:p:89-134. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/areueea.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.