Real Estate: Portfolio Allocation, Diversification, and Timing

2007 ◽  
Vol 24 (4) ◽  
pp. 47-54
Author(s):  
Bret R. Wilkerson
Keyword(s):  
Real Estate ◽  
Portfolio Allocation

Real Estate Risk Factors and Portfolio Allocation

2018 ◽  
Author(s):  
Martin Hoesli ◽  
Jean-Christophe Delfim
Keyword(s):  
Risk Factors ◽  
Real Estate ◽  
Portfolio Allocation

scholarly journals The Role of Real Estate in the Portfolio Allocation Process

1996 ◽  
Vol 24 (3) ◽  
pp. 359-377 ◽  
Author(s):  
Jarl G. Kallberg ◽  
Crocker H. Liu ◽  
D. Wylie Greig
Keyword(s):  
Real Estate ◽  
Portfolio Allocation ◽  
Allocation Process

scholarly journals Market heterogeneity, investment risk and portfolio allocation

2017 ◽  
Vol 10 (5) ◽  
pp. 641-661
Author(s):  
Charles-Olivier Amédée-Manesme ◽  
Michel Baroni ◽  
Fabrice Barthélémy ◽  
François Des Rosiers
Keyword(s):  
Real Estate ◽  
Quantile Regression ◽  
Efficient Frontier ◽  
Portfolio Allocation ◽  
Individual Investors ◽  
Investment Risk ◽  
Content Type ◽  
Management Context ◽  
Housing Attributes ◽  
Real Estate Assets

Purpose The purpose of this paper is to address the heterogeneity of real estate assets with regard to investment risk measurement, with Paris’ apartment market as a case study. Design/methodology/approach Quantile regression is used to handle the fact that willingness to pay for housing attributes may vary greatly over both space and asset value categories. The method is alternately applied on central and peripheral districts of Paris, or “arrondissements”, with hedonic indices built for nine deciles over a 17-year period (1990-2006). Portfolio allocation is subsequently analysed with deciles being the assets. Findings The findings suggest that during the slump, peripheral districts show better resilience and define the efficient frontier while also exhibiting a lower volatility. In addition, higher returns are observed for lower-priced apartments, both central and peripheral. During the recovery and boom stages of the cycle, the highest returns are experienced for the cheapest apartments in central locations, whereas upper-priced, centrally located units yield the lowest returns. Originality/value The originality of this research resides in the application of quantile regression in a real estate investment and risk management context. The methodology may raise individual investors’ and practitioners’ attention, especially index providers’.

Exploiting Property Characteristics in Commercial Real Estate Portfolio Allocation

2011 ◽  
Vol 35 (5) ◽  
pp. 39-50 ◽  
Author(s):  
Alberto Plazzi ◽  
Walter Torous ◽  
Rossen Valkanov
Keyword(s):  
Real Estate ◽  
Portfolio Allocation ◽  
Commercial Real Estate

Exploiting Property Characteristics in Commercial Real Estate Portfolio Allocation

2011 ◽  
Vol 37 (5) ◽  
pp. 39-50 ◽  
Author(s):  
Alberto Plazzi ◽  
Walter Torous ◽  
Rossen Valkanov
Keyword(s):  
Real Estate ◽  
Portfolio Allocation ◽  
Commercial Real Estate
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