IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_120_12.html
   My bibliography  Save this paper

Italian real estate investment funds: market structure and risk measurement

Author

Listed:
  • Michele Leonardo Bianchi

    (Banca d'Italia)

  • Agostino Chiabrera

    (Banca d'Italia)

Abstract

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.

Suggested Citation

  • Michele Leonardo Bianchi & Agostino Chiabrera, 2012. "Italian real estate investment funds: market structure and risk measurement," Questioni di Economia e Finanza (Occasional Papers) 120, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_120_12
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2012-0120/QEF_120.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    2. Giacomo Morri & Stephen Lee, 2008. "The Performance Of Italian Real Estate Funds," ERES eres2008_212, European Real Estate Society (ERES).
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Costanza Consolandi & Giampaolo Gabbi & Massimo Matthias & Pietro Vozzella, 2013. "The Italian Financial System," FESSUD studies fstudy12, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christopoulos, Andreas D. & Jarrow, Robert A., 2018. "CMBS market efficiency: The crisis and the recovery," Journal of Financial Stability, Elsevier, vol. 36(C), pages 159-186.
    2. Driessen, Joost & Van Hemert, Otto, 2012. "Pricing of commercial real estate securities during the 2007–2009 financial crisis," Journal of Financial Economics, Elsevier, vol. 105(1), pages 37-61.
    3. Christopoulos, Andreas D., 2017. "The composition of CMBS risk," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 215-239.
    4. Gady Jacoby & Chuan Liao & Jonathan A. Batten, 2007. "A Pure Test for the Elasticity of Yield Spreads," The Institute for International Integration Studies Discussion Paper Series iiisdp195, IIIS.
    5. Gerardo Manzo & Antonio Picca, 2020. "The Impact of Sovereign Shocks," Management Science, INFORMS, vol. 66(7), pages 3113-3132, July.
    6. Neus, Werner, 2014. "Eigenkapitalnormen, Boni und Risikoanreize in Banken," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 68(2), pages 92-107.
    7. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    8. Wei, Yu & Wang, Yizhi & Vigne, Samuel A. & Ma, Zhenyu, 2023. "Alarming contagion effects: The dangerous ripple effect of extreme price spillovers across crude oil, carbon emission allowance, and agriculture futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    9. Lily Y. Liu, 2017. "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers RPA 17-1, Federal Reserve Bank of Boston.
    10. Jeremy Leake, 2003. "Credit spreads on sterling corporate bonds and the term structure of UK interest rates," Bank of England working papers 202, Bank of England.
    11. Xin Huang & Hao Zhou & Haibin Zhu, 2012. "Systemic Risk Contributions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 55-83, October.
    12. Milne, Alistair, 2014. "Distance to default and the financial crisis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 26-36.
    13. Zhijian (James) Huang & Yuchen Luo, 2016. "Revisiting Structural Modeling of Credit Risk—Evidence from the Credit Default Swap (CDS) Market," JRFM, MDPI, vol. 9(2), pages 1-20, May.
    14. Masahiko Egami & Rusudan Kevkhishvili, 2020. "Time reversal and last passage time of diffusions with applications to credit risk management," Finance and Stochastics, Springer, vol. 24(3), pages 795-825, July.
    15. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    16. Sandrine Lardic & Claire Gauthier, 2003. "Un modèle multifactoriel des spreads de crédit : estimation sur panels complets et incomplets," Économie et Prévision, Programme National Persée, vol. 159(3), pages 53-69.
    17. Hu, Xiaolu & Shi, Jing & Wang, Lafang & Yu, Jing, 2020. "Foreign ownership in Chinese credit ratings industry: Information revelation or certification?," Journal of Banking & Finance, Elsevier, vol. 118(C).
    18. Lee, Seung Jung & Liu, Lucy Qian & Stebunovs, Viktors, 2022. "Risk-taking spillovers of U.S. monetary policy in the global market for U.S. dollar corporate loans," Journal of Banking & Finance, Elsevier, vol. 138(C).
    19. Nicole Boyson & Jean Helwege & Jan Jindra, 2014. "Crises, Liquidity Shocks, and Fire Sales at Commercial Banks," Financial Management, Financial Management Association International, vol. 43(4), pages 857-884, December.
    20. Alessandra Ortolano & Eliana Angelini, 2020. "Do CDS spread determinants affect the probability of default? A study on the EU banks," Bank i Kredyt, Narodowy Bank Polski, vol. 51(1), pages 1-32.

    More about this item

    Keywords

    real estate investment funds; asset management; firm value model; non-normal distributions; Monte Carlo simulation;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bdi:opques:qef_120_12. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.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.