Risk Assessment Steeplechase: Hurdles to Becoming a Target Market

Janet K. Tandy and Leon Shilton ()
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Janet K. Tandy: Real Estate Infosources Cupertino, CA 95014
Leon Shilton: Fordham University, New York New York, NY 10023, http://www.fordham.edu

Journal of Real Estate Research, 1999, vol. 17, issue 2, pages 127-150

Abstract: Framed 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.

JEL-codes: L85 (search for similar items in EconPapers)
Date: 1999
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