Risk Assessment Steeplechase: Hurdles to Becoming a Target Market
AbstractFramed in a quadrant model, the data sources that analysts use to predict the performance of core property types for the major metropolitan areas in the United States are reviewed. The hypothesis is that forecasters rely on information from the economic base, the property inventory and financial performance quadrants to generate forecasts. For each core property type, analysts are rather homogeneous in grouping metropolitan areas from best to worst. However, the property type determines what sets of economic, social, inventory and market information are used. The only consistent forecast factor used across all property types appears to be economic growth.
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Bibliographic InfoArticle provided by American Real Estate Society in its journal Journal of Real Estate Research.
Volume (Year): 17 (1999)
Issue (Month): 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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"Economic Growth In A Cross Section Of Countries,"
RCER Working Papers
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Real Estate Economics,
American Real Estate and Urban Economics Association, vol. 23(3), pages 271-310.
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- Joseph Gyourko & Donald B. Keim, 1992. "What Does the Stock Market Tell Us About Real Estate Returns?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(3), pages 457-485.
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