Semi-correlations as a tool for geographical and sector asset allocation
Giampaolo Gabbi
The European Journal of Finance, 2005, vol. 11, issue 3, 271-281
Abstract:
Many studies show that international correlations have changed over time. This phenomenon has modified the practices of many portfolio managers, which are now preferably linked with sector behaviour. In order to prove the benefits of this management style, some new evidence is provided for correlation dynamics among geographic areas and business sectors. The concept of semi-correlation is applied to asset allocation in order to compare whether it applies efficiently to sectors and countries. The paper shows that use of semi-correlations has the potential both to improve expected return and to reduce volatility.
Keywords: Asset allocation; correlation; neural networks; return forecast (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/13518470500039220 (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:eurjfi:v:11:y:2005:i:3:p:271-281
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REJF20
DOI: 10.1080/13518470500039220
Access Statistics for this article
The European Journal of Finance is currently edited by Chris Adcock
More articles in The European Journal of Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().