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CVaR optimization of real estate portfolios in an ALM context

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  • Bert Kramer

Abstract

In this paper we show the result of an optimization study of sector and region allocation within real estate portfolios. The optimizations are performed in an ALM context. That is, we try to determine optimal allocations based on a funding ratio risk measure for Dutch pension funds. The risk measure we use is the Conditional Value at Risk (CVaR). In our optimizations, we assume a fixed portfolio for the non-real estate part and optimize the composition of the part allocated to non-listed real estate. We conclude that within Europe, the number of countries and sectors that appear in the optimal portfolio is limited. So the diversification gain from investing in a large number of sectors and countries is relatively limited within Europe. For countries outside Europe, the results are sensitive to changes in the input and assumptions. Furthermore, we conclude that high leverage is only acceptable when the underlying real estate market is very stable. Finally, although the optimal weights differ per type of pension fund, the countries and sectors that appear in the optimal portfolios are quite stable.

Suggested Citation

  • Bert Kramer, 2012. "CVaR optimization of real estate portfolios in an ALM context," ERES eres2012_019, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2012_019
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    References listed on IDEAS

    as
    1. Manfred Gilli & Evis këllezi, 2006. "An Application of Extreme Value Theory for Measuring Financial Risk," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 207-228, May.
    2. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    3. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
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    More about this item

    JEL classification:

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

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