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The incidence of real estate portfolio composition choices on funds performance: Evicence from the Italian market

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  • Marisa Gigante

Abstract

In the economic and financial scenario Italian real estate funds industry continues its growth. This paper aims to investigate the investment policies and portfolio composition choices of Italian real estate funds, analyzing the impact on performance measured through the Sharpe ratio. In literature several studies deal with portfolio composition choices about sectorial and geographical diversification (Lee and Devaney 2007, Gabrielli and Lee 2009, Byrne and Lee 2010) and how these impact on real estate funds performance (Gallo et al. 2000, OíNeal and Page 2000, Morri and Erbanni 2008), which is measured with several RAP indicators such as Sharpe ratio, Treynor ratio, etc (Scholz and Wilkens 2005, Eling 2008). Looking at the Italian market, the theme of real estate vehicles performance has been taken into account from Morri and Lee (2009), Giannotti and Mattarocci (2010). This paper collocates in these studies, but differs from the existing literature since it only focuses on the patrimonial aspects of funds, highlighting the incidence of the components of property and others investments on the fund performance. Therefore, the work adds the residual investment analysis, trying to demonstrate how this latter can influence the performance. The analysis has been carried out on a sample of 20 Italian listed retail funds over the period 2007-2010. By means of a dataset with semiannual data provided by ëReport of Scenari Immobiliari‚í, a pooled OLS and fixed effects panel regression were applied. The results show how real estate portfolio composition choices impact strongly on the fund performance. The Sharpe ratio is influenced by age, fund setup typology and Herfindahl index for property type. In particular, sectorial diversification have a major impact on fund performance than geographical diversification in portfolio composition choices. Furthermore, the study shows how the investment in liquidity affects the fund performance in the investment policies.

Suggested Citation

  • Marisa Gigante, 2012. "The incidence of real estate portfolio composition choices on funds performance: Evicence from the Italian market," ERES eres2012_186, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2012_186
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    References listed on IDEAS

    as
    1. Michael S. Young, 2000. "REIT Property-Type Sector Integration," Journal of Real Estate Research, American Real Estate Society, vol. 19(1), pages 3-21.
    2. repec:arz:wpaper:eres2010-129 is not listed on IDEAS
    3. Giacomo Morri & Stephen Lee, 2008. "The Performance Of Italian Real Estate Funds," ERES eres2008_212, European Real Estate Society (ERES).
    4. Roger Otten & Dennis Bams, 2002. "European Mutual Fund Performance," European Financial Management, European Financial Management Association, vol. 8(1), pages 75-101, March.
    5. S. P. Kothari & Jerold B. Warner, 2001. "Evaluating Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 56(5), pages 1985-2010, October.
    6. Claudio Giannotti & Gianluca Mattarocci, 2007. "Risk Diversification in a Real Estate Portfolio: Evidence from the Italian Market," ERES eres2007_286, European Real Estate Society (ERES).
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Peter Byrne & Stephen Lee, 2010. "Sector, Region Or Function? A Mad Reassessment Of Real Estate Diversification," ERES eres2010_074, European Real Estate Society (ERES).
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    10. Claudio Giannotti & Gianluca Mattarocci, 2013. "The Role of Risk Measures Choices in Ranking Real Estate Funds: Evidence from the Italian Market," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Alessandro Carretta & Gianluca Mattarocci (ed.), Asset Pricing, Real Estate and Public Finance over the Crisis, chapter 10, pages 165-189, Palgrave Macmillan.
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    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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