Using Value-at-Risk to Estimate Downside Residential Market Risk
Changha Jin and
Alan Ziobrowski
Journal of Real Estate Research, 2011, vol. 33, issue 3, 389-414
Abstract:
Conditional Value-at-Risk (VaR) is currently used by the banking industry to measure market risk as it relates to equity risk, currency risk, interest rate risk, and commodity risk. This paper examines the downside market risk in residential housing using various conditional volatility models. Although there is controversy surrounding the use of VaR as a risk management tool, these concerns are explored through various modeling scenarios. Furthermore, an alternative portfolio is constructed minimizing VaR exposure as a portfolio constraint. The findings reveal that the conditional volatility models are especially useful when the current downside residential market risk is time-period dependent because the traditional risk measure based on a longer time series is less influenced by short-term extremes.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2011.12091309 (text/html)
Access to full text is restricted to subscribers.
Related works:
Journal Article: Using Value-at-Risk to Estimate Downside Residential Market Risk (2011) 
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:33:y:2011:i:3:p:389-414
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjer20
DOI: 10.1080/10835547.2011.12091309
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 ().