Modelling the interactions across international stock, bond and foreign exchange markets
Abdul Hakim and
Michael McAleer
Applied Economics, 2010, vol. 42, issue 7, 825-850
Abstract:
The benefits of investing internationally depend on three conditions, namely, cross-country correlations, market volatilities and future changes in currency risks (Odier and Solnik, 1993). This article investigates these conditions for several countries. Many papers have modelled both domestic interactions across asset markets and international interactions in individual asset markets in isolation, but rarely have they examined international interactions across asset markets. The article fills this gap by modelling the international interactions across stock, bond and foreign exchange markets. Two models that meet these purposes are the VARMA-AGARCH model of Hoti et al. (2002) and the VARMA-GARCH model of Ling and McAleer (2003). The countries that will be modelled in this article are Australia, Japan, Singapore, New Zealand and USA.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840701720994 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets (2009) 
Working Paper: Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets (2009) 
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:applec:v:42:y:2010:i:7:p:825-850
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840701720994
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().