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An Analysis of Hotel Real Estate Market Dynamics

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Abstract

After providing a conceptual analysis of national hotel cycles, metro level hotel market dynamics are examined using various measures of supply and demand volatility, and historical revenue per available room (REVPAR) performance. Cluster analysis is used to provide a more rigorous classification of hotel markets in relatively homogeneous groups. A clustering algorithm is applied to REVPAR growth across fifty-eight metro areas. Using discriminant analysis, each cluster is then linked to various economic characteristics. Five hotel market clusters are identified with differences in various employment location quotients, employment SIC categories and employment growth largely determining the cluster groupings. This analysis can be used to improve hotel portfolio diversification strategies for both real estate investment trusts and direct-side equity investors.

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  • Mark Gallagher & Asieh Mansour, 2000. "An Analysis of Hotel Real Estate Market Dynamics," Journal of Real Estate Research, American Real Estate Society, vol. 19(2), pages 133-164.
    • Handle: RePEc:jre:issued:v:19:n:2:2000:p:133-164
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    Cited by:

    1. Eli Beracha & William G. Hardin & Hilla Maaria Skiba, 2018. "Real Estate Market Segmentation: Hotels as Exemplar," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 252-273, February.
    2. Gang-Zhi Fan & Seow Eng Ong & Hian Chye Koh, 2006. "Determinants of House Price: A Decision Tree Approach," Urban Studies, Urban Studies Journal Limited, vol. 43(12), pages 2301-2315, November.
    3. Quazi, Hesan A. & Khoo, Yee-Koon & Tan, Chin-Meng & Wong, Poh-Seng, 2001. "Motivation for ISO 14000 certification: development of a predictive model," Omega, Elsevier, vol. 29(6), pages 525-542, December.

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    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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