Risk Assessment Steeplechase: Hurdles to Becoming a Target Market

Janet Tandy and Leon Shilton

Journal of Real Estate Research, 1999, vol. 17, issue 2, 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.

Date: 1999
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.1999.12090972 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rjerxx:v:17:y:1999:i:2:p:127-150

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjer20

DOI: 10.1080/10835547.1999.12090972

Access Statistics for this article

Journal of Real Estate Research is currently edited by William Hardin and Michael Seiler

More articles in Journal of Real Estate Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().