Characteristics of Long-run Return and Risk: A Unified Performance Metric
Ping Cheng,
Zhenguo Lin and
Yingchun Liu
Journal of Real Estate Research, 2017, vol. 39, issue 2, 165-188
Abstract:
It is well documented in the literature that long-run asset prices do not follow a random walk, thus their returns are not independent and identically distributed (i.i.d.) over time. But how can this notion—long-run returns and volatilities being horizon dependent—be incorporated into formal pricing models? In this paper, we develop a unified risk-adjusted return metric that is applicable to both private assets and public securities. Since such metric is based on a pair of empirically determined return and risk characteristic lines that depict the horizon impact on return and volatility, our performance metric is rooted in empirical evidence rather than assumptions. The results suggest that long-run asset performance cannot be adequately measured by single-period return and volatility. Rather, prudent long-run investment decisions must include careful consideration of the anticipated holding period and a proper understanding of the long-run return and risk characteristics.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10835547.2017.12091468 (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:rjerxx:v:39:y:2017:i:2:p:165-188
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjer20
DOI: 10.1080/10835547.2017.12091468
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 ().