Diversifying in public real estate: The ex-post performance
Carolina Fugazza,
Massimo Guidolin and
Giovanna Nicodano
Journal of Asset Management, 2008, vol. 8, issue 6, No 3, 373 pages
Abstract:
Abstract We calculate the ex-post, realised portfolio performance for an investor who diversifies among US stocks, bonds, real estate indirect investment vehicles (E-REITS), and cash. Simulations are performed for two alternative asset allocation frameworks — classical and Bayesian — and for scenarios involving two different samples and six different investment horizons. Interestingly, the ex-post welfare cost of restricting portfolio choice to traditional financial assets (ie, stocks, bonds, and cash) is only found to be positive in all scenarios for a Bayesian investor. On the contrary, substitution of E-REITS for stocks in optimal portfolios turns out to reduce ex-post portfolio performance over the nineties and for a Classical investor who ignores parameter estimation uncertainty.
Keywords: optimal asset allocation; real estate; parameter uncertainty; out-of-sample performance (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jam.2250089 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:assmgt:v:8:y:2008:i:6:d:10.1057_palgrave.jam.2250089
Ordering information: This journal article can be ordered from
http://www.springer.com/finance/journal/41260
DOI: 10.1057/palgrave.jam.2250089
Access Statistics for this article
Journal of Asset Management is currently edited by Marielle de Jong and Dan diBartolomeo
More articles in Journal of Asset Management from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().