Does the Diversification Potential of Securitized Real Estate Vary Over Time and Should Investors Care?
Liang Peng and
Rainer Schulz ()
The Journal of Real Estate Finance and Economics, 2013, vol. 47, issue 2, 310-340
This paper examines the dynamics of the covariance matrix of return rates for securitized real estate, other company stocks, and government bonds for a cross-section of eight countries. In-sample analysis establishes that in all countries the covariance matrix is time-varying and reacts stronger to bad than to good news. Using a realistic out-of-sample exercise, we find that portfolios selected with a forecasted dynamic covariance matrix are less risky than portfolios constructed with the static matrix. However, benefits of using the dynamic covariance matrix for active portfolio management are mostly offset by rebalancing cost. Passive buy-and-hold investors benefit, because the forecasted dynamic covariance matrix provides better risk assessment. Copyright Springer Science+Business Media, LLC 2013
Keywords: Dynamic conditional correlation; Portfolio allocation; Forecast evaluation; G11; G15; R33 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:jrefec:v:47:y:2013:i:2:p:310-340
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11146/PS2
Access Statistics for this article
The Journal of Real Estate Finance and Economics is currently edited by Steven R. Grenadier, James B. Kau and C.F. Sirmans
More articles in The Journal of Real Estate Finance and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla ().