Investing for the long-run in European real estate
Abstract
We calculate optimal portfolio choices for a long-horizon, risk-averse investor who diversifies among European stocks, bonds, real estate, and cash, when excess asset returns are predictable. Simulations are performed for scenarios involving different risk aversion levels, horizons, and statistical models capturing predictability in risk premia. Importantly, under one of the scenarios, the investor takes into account the parameter uncertainty implied by the use of estimated coefficients to characterize predictability. We find that real estate ought to play a significant role in optimal portfolio choices, with weights between 12 and 44 percent. Under plausible assumptions, the welfare costs of either ignoring predictability or restricting portfolio choices to traditional financial assets only are found to be in the order of 150-300 basis points per year. These results are robust to changes in the benchmarks and in the statistical framework.Download Info
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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2006-028.Length:
Date of creation: 2006
Date of revision:
Handle: RePEc:fip:fedlwp:2006-028
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Keywords: Real estate investment ; Rate of return ; European Union;Other versions of this item:
- Carolina Fugazza & Massimo Guidolin & Giovanna Nicodano, 2007. "Investing for the Long-run in European Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 35-80, January.
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-05-27 (All new papers)
- NEP-EEC-2006-05-27 (European Economics)
- NEP-FMK-2006-05-27 (Financial Markets)
- NEP-RMG-2006-05-27 (Risk Management)
- NEP-URE-2006-05-27 (Urban & Real Estate Economics)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
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