Relationship between stock and currency markets conditional on the US stock returns: A vine copula approach
Minoru Tachibana
Journal of Multinational Financial Management, 2018, vol. 46, issue C, 75-106
Abstract:
Ignoring the co-movement of international stock markets might lead to a biased estimate for the relationship between domestic stock and currency markets. We address this issue by using US stock returns as a proxy for the movement of foreign stock markets and applying a vine copula approach to 21 economies over the period 2003–2017. We find that both stock and currency markets in these economies are highly correlated with the US stock market. As a result, taking no account of the international stock market co-movement leads to an upward bias in the estimate for the correlation between domestic stock and currency returns, although the bias is not of great magnitude. Finally, the estimate for the correlation between domestic stock and currency returns conditional on US stock returns tends to be positive in emerging economies but negative in developed economies.
Keywords: Vine copula; Stock return; Currency return (search for similar items in EconPapers)
JEL-codes: C58 F31 G15 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042444X17303006
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:mulfin:v:46:y:2018:i:c:p:75-106
DOI: 10.1016/j.mulfin.2018.05.001
Access Statistics for this article
Journal of Multinational Financial Management is currently edited by I. Mathur and G. G. Booth
More articles in Journal of Multinational Financial Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().