Clustering Methods for Real Estate Portfolios

Posted: 3 Jul 1998

See all articles by Susan M. Wachter

Susan M. Wachter

University of Pennsylvania - Wharton School, Department of Real Estate ; University of Pennsylvania - Finance Department

William N. Goetzmann

Yale School of Management - International Center for Finance; National Bureau of Economic Research (NBER)

Abstract

A clustering algorithm is applied to effective rents for twenty-one U.S. office markets, and to twenty-two metropolitan markets using vacancy data. It provides support for the conjecture that there exists a few major families of cities: including an oil and gas group and an industrial Northeast group. Unlike other clustering studies, we find strong evidence of bicoastal city associations among cities such as Boston and Los Angeles. We present a bootstrapping methodology for investigating the robustness of the clustering algorithm, and develop a means for testing the significance of city associations. While the analysis is limited to aggregate rent and vacancy data, the results provide a guideline for the further application of cluster analysis to other types of real estate and economic information.

JEL Classification: G11

Suggested Citation

Wachter, Susan M. and Goetzmann, William N., Clustering Methods for Real Estate Portfolios. Real Estate Economics, Fall 1995. Available at SSRN: https://ssrn.com/abstract=9013

Susan M. Wachter

University of Pennsylvania - Wharton School, Department of Real Estate ( email )

The Wharton School
3620 Locust Walk
Philadelphia, PA 19104-6330
United States
215-898-6355 (Phone)

HOME PAGE: http://real.wharton.upenn.edu/~wachter/index.html

University of Pennsylvania - Finance Department ( email )

The Wharton School
3620 Locust Walk
Philadelphia, PA 19104
United States

HOME PAGE: http://real.wharton.upenn.edu/~wachter/index.html

William N. Goetzmann (Contact Author)

Yale School of Management - International Center for Finance ( email )

165 Whitney Ave.
P.O. Box 208200
New Haven, CT 06520-8200
United States
203-432-5950 (Phone)
203-436-9252 (Fax)

HOME PAGE: http://viking.som.yale.edu

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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