EconPapers    
Economics at your fingertips  
 

Ex ante performance from ex post models of global equity market correlations

Douglas R. Kahl and Jerry L. Stevens

Global Finance Journal, 2009, vol. 20, issue 3, 248-259

Abstract: Analysis of ex post returns reveals the time series properties of correlations, but ex ante correlations are required for efficient diversification. We find that a time-varying parameter model offers the best fit to ex post global equity market correlations, suggesting changing mean correlations and changing rates of adjustment back to the means. Nevertheless, we do not find improved forecast performance from time-varying parameter models in holdout periods. The added complexity of time-varying models does not translate into lower forecast errors.

Keywords: Correlations; Diversification; Global; equity (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1044-0283(09)00061-1
Full text for ScienceDirect subscribers only

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:eee:glofin:v:20:y:2009:i:3:p:248-259

Access Statistics for this article

Global Finance Journal is currently edited by Manuchehr Shahrokhi

More articles in Global Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:glofin:v:20:y:2009:i:3:p:248-259