Re-thinking Commercial Real Estate Market Segmentation
AbstractInvestments in direct real estate are inherently difficult to segment compared to other asset classes due to the complex and heterogeneous nature of the asset. The most common segmentation in real estate investment analysis relies on property sector and geographical region. In this paper, we compare the predictive power of existing industry classifications with a new type of segmentation using cluster analysis on a number of relevant property attributes including the equivalent yield and size of the property as well as information on lease terms, number of tenants and tenant concentration. The new segments are shown to be distinct and relatively stable over time. In a second stage of the analysis, we test whether the newly generated segments are able to better predict the resulting financial performance of the assets than the old dichotomous segments. Applying both discriminant and neural network analysis we find mixed evidence for this hypothesis. Overall, we conclude from our analysis that each of the two approaches to segmenting the market has its strengths and weaknesses so that both might be applied gainfully in real estate investment analysis and fund management.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Henley Business School, Reading University in its series Real Estate & Planning Working Papers with number rep-wp2010-12.
Date of creation:
Date of revision:
Contact details of provider:
Postal: PO Box 218, Whiteknights, Reading, Berks, RG6 6AA
Phone: +44 (0) 118 378 8226
Fax: +44 (0) 118 975 0236
Web page: http://www.henley.reading.ac.uk/
More information through EDIRC
market segmentation; commercial real estate; financial performance measurement; cluster analysis; neural network analysis; risk diversification;
Find related papers by JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- D4 - Microeconomics - - Market Structure and Pricing
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hoesli, M. & Lizieri, C. & Macgregor, B., 1996. "The Spatial Dimensions of the Investment preformance of UK Commercial Property," Papers 96.14, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.
- Steven Devaney & Colin Lizieri, 2005. "Individual Assets, Market Structure And The Drivers Of Return," Real Estate & Planning Working Papers rep-wp2005-18, Henley Business School, Reading University.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ed Quick).
If references are entirely missing, you can add them using this form.