IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Italian real estate investment funds: market structure and risk measurement

Listed author(s):
  • Michele Leonardo Bianchi


    (Banca d'Italia)

  • Agostino Chiabrera


    (Banca d'Italia)

Registered author(s):

    This paper describes the Italian real estate investment funds industry, providing an overview of the distinctive features and risk factors of this sector. By using accounting and supervisory data, we: (1) compute the returns of the real estate assets in the portfolio of these funds; (2) construct a price index and a total return index of the real estate assets held by the Italian funds; (3) define a risk assessment process based on three different aspects - their financial profile, income structure and property price behaviour. This analysis allows us to select funds with a weak financial structure, poor returns, and a high probability that in a three-year interval their property portfolio will fall below their net liabilities (defined as the difference between debt and liquid assets). The proposed risk assessment can be seen as the first step towards a more intensive supervisory analysis and can also be useful for investment purposes.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Questioni di Economia e Finanza (Occasional Papers) with number 120.

    in new window

    Date of creation: Apr 2012
    Handle: RePEc:bdi:opques:qef_120_12
    Contact details of provider: Postal:
    Via Nazionale, 91 - 00184 Roma

    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Giacomo Morri & Stephen Lee, 2008. "The Performance Of Italian Real Estate Funds," ERES eres2008_212, European Real Estate Society (ERES).
    2. Martin Hoesli & Elion Jani & André Bender, 2005. "Monte Carlo Simulations for Real Estate Valuation," FAME Research Paper Series rp148, International Center for Financial Asset Management and Engineering.
    3. James Kau & Donald Keenan & Yildiray Yildirim, 2009. "Estimating Default Probabilities Implicit in Commercial Mortgage Backed Securities (CMBS)," The Journal of Real Estate Finance and Economics, Springer, vol. 39(2), pages 107-117, August.
    4. Christina E. Bannier & Falko Fecht & Marcel Tyrell, 2008. "Open-End Real Estate Funds in Germany – Genesis and Crisis," Credit and Capital Markets, Credit and Capital Markets, vol. 41(1), pages 9-36.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:bdi:opques:qef_120_12. 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: ()

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.