IDEAS home Printed from
   My bibliography  Save this article

Another Take on Real Estate's Role in Mixed†Asset Portfolio Allocations


  • Joseph L. Pagliari


This article examines real estate's role in institutional mixed†asset portfolios using both private†and public†real estate indices, as a means of examining varying real estate†related risk/return opportunities. In so doing, this article also examines the effects of: (1) increasing the investment horizon, (2) placing constraints on the maximum allocation to any one asset class, and (3) varying the risk preferences of investors. The empirical results suggest—using infinite†horizon returns and all of the caveats that accompany such a perspective—that real estate allocations of approximately 10–15% of the mixed†asset portfolio represent an upper bound for most investors. For those investors preferring low†risk portfolios, (unlevered) private real estate is the vehicle serving this allocation preference; for those investors preferring high†risk portfolios, public real estate (with its embedded leverage of 40–50%) is the vehicle serving this allocation preference—with such vehicles serving as substitutes for a variety of noncore real estate strategies. In some sense, the distinction between private and public real estate is more about the use of leverage. For those investors preferring moderate†risk portfolios, an intermediate†leverage approach seems optimal.

Suggested Citation

  • Joseph L. Pagliari, 2017. "Another Take on Real Estate's Role in Mixed†Asset Portfolio Allocations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(1), pages 75-132, February.
  • Handle: RePEc:bla:reesec:v:45:y:2017:i:1:p:75-132
    DOI: 10.1111/1540-6229.12138

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Massimo Guidolin & Manuela Pedio & Milena Petrova, 2019. "The Predictability of Real Estate Excess Returns: An Out-of-Sample Economic Value Analysis," BAFFI CAREFIN Working Papers 19122, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    2. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Philippe Bertrand & Jean-Luc Prigent, 2019. "Mixed-asset portfolio allocation under mean-reverting asset returns," Annals of Operations Research, Springer, vol. 281(1), pages 65-98, October.
    3. Restrepo, Hector & Zhang, Weiyi & Mei, Bin, 2020. "The time-varying role of timberland in long-term, mixed-asset portfolios under the mean conditional value-at-risk framework," Forest Policy and Economics, Elsevier, vol. 113(C).
    4. Rob Bauer & Matteo Bonneti & Dirk Broeders, 2018. "Pension Funds Interconnections and Herd Behavior," DNB Working Papers 612, Netherlands Central Bank, Research Department.

    More about this item


    Access and download statistics


    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:45:y:2017:i:1:p:75-132. 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: (Wiley Content Delivery). General contact details of provider: .

    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.