This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Semi-correlations as a tool for geographical and sector asset allocation

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Giampaolo Gabbi

Additional information is available for the following registered author(s):

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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://taylorandfrancis.metapress.com/link.asp?target=contribution&id=JW2412G46K17P686
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Taylor and Francis Journals in its journal The European Journal of Finance.

Volume (Year): 11 (2005)
Issue (Month): 3 (June)
Pages: 271-281
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:taf:eurjfi:v:11:y:2005:i:3:p:271-281

Contact details of provider:
Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=100161

Order Information:
Web: http://www.tandf.co.uk/journals/subscription.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Asset allocation; correlation; neural networks; return forecast;

Statistics
Access and download statistics

Did you know? IDEAS also indexes book chapters.

This page was last updated on 2009-11-25.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.