Risk Assessment Steeplechase: Hurdles to Becoming a Target Market
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.
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/
|Order Information:|| Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323|
Web: http://pages.jh.edu/jrer/about/get.htm Email:
References listed on IDEAS
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.:
- 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.
- Robert J. Barro, 1989.
"Economic Growth in a Cross Section of Countries,"
NBER Working Papers
3120, National Bureau of Economic Research, Inc.
- Joseph Gyourko & Donald B. Keim, . "What Does the Stock Market Tell Us About Real Estate Returns? (Revision of 18-91) (Reprint 030)," Rodney L. White Center for Financial Research Working Papers 11-92, Wharton School Rodney L. White Center for Financial Research.
- William N. Goetzmann & Susan M. Wachter, 1995.
"Clustering Methods for Real Estate Portfolios,"
Real Estate Economics,
American Real Estate and Urban Economics Association, vol. 23(3), pages 271-310.
- In Jae Myung & Sridhar Ramamoorti & Andrew D. Bailey, Jr., 1996. "Maximum Entropy Aggregation of Expert Predictions," Management Science, INFORMS, vol. 42(10), pages 1420-1436, October.
When requesting a correction, please mention this item's handle: RePEc:jre:issued:v:17:n:2:1999:p:127-150. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (JRER Graduate Assistant/Webmaster)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.