Can switching between risk measures lead to better portfolio optimization?
Brianna Cain and
Ralf Zurbruegg ()
Additional contact information
Ralf Zurbruegg: Business School, University of Adelaide
Journal of Asset Management, 2010, vol. 10, issue 6, No 2, 358-369
Abstract:
Abstract This article proposes a technique that involves switching between risk measures in different market environments, to capture the well-documented dynamic nature of risk within a portfolio optimization setting. In-sample results show categorically that switching between various measures, such as CVaR, time-varying (GARCH) variances and simple standard deviations, can lead to a better performance than using any single measure. Using a logistic probability model to determine when to switch between alternatives, out-of -sample results also show positive results. Given that this study only applies a basic switching system, it lends itself to easy application by practitioners through its simplicity, intuitive appeal and computational feasibility.
Keywords: volatility; variance; CvaR; GARCH; model switching; portfolio allocation (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1057/jam.2009.20 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:pal:assmgt:v:10:y:2010:i:6:d:10.1057_jam.2009.20
Ordering information: This journal article can be ordered from
http://www.springer.com/finance/journal/41260
DOI: 10.1057/jam.2009.20
Access Statistics for this article
Journal of Asset Management is currently edited by Marielle de Jong and Dan diBartolomeo
More articles in Journal of Asset Management from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().