Bayes-Stein Estimators and International Real Estate Asset Allocation
AbstractThis article re-examines the issue of international diversification in real estate securities and attempts to address the problem of estimation error in the inputted parameters through the use of alternative techniques. The results see an increased stability in calculated portfolio allocations in comparison to the classical mean-variance tangency approach, and see significant improvements in out-of-sample performance. In addition, the minimum variance portfolio significantly outperforms a naive equally-weighted strategy. These results are also largely consistent when transaction costs are incorporated into the analysis.
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Bibliographic InfoArticle provided by American Real Estate Society in its journal Journal of Real Estate Research.
Volume (Year): 21 (2001)
Issue (Month): 1/2 ()
Contact details of provider:
Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
Web page: http://www.aresnet.org/
Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
Find related papers by JEL classification:
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
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