Forecasting Real Estate Cycle Risks in Portfolios of Office Properties Across Cities

Richard D. Evans and Andrew Glenn Mueller

Journal of Real Estate Portfolio Management, 2016, vol. 22, issue 2, 199-215

Abstract: Executive Summary. Relatively low-level Markov chain methods and widely available information allow this extension of real estate cycle risk analysis to office portfolios across cities initially in different cycle conditions. Examples include evaluation of cycle conditions at the end of a holding period and for cash flows from operations across a span of quarters. Standard spreadsheet functions serve to provide examples of changes in real estate cycle prospects, including before/after changes in portfolio weights, applying mean-variance dominance, mean-semivariance dominance, and stochastic dominance analysis.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2016.12089991 (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:repmxx:v:22:y:2016:i:2:p:199-215

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/repm20

DOI: 10.1080/10835547.2016.12089991

Access Statistics for this article

Journal of Real Estate Portfolio Management is currently edited by Peng Liu and Vivek Sah

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