EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:eurjfi:v:11:y:2005:i:3:p:271-281