Correlation patterns in foreign exchange markets
Lasko Basnarkov,
Viktor Stojkoski,
Zoran Utkovski and
Ljupco Kocarev
Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 1026-1037
Abstract:
The value of an asset in a financial market is given in terms of another asset known as numeraire. The dynamics of the value is non-stationary and hence, to quantify the relationships between different assets, one requires convenient measures such as the means and covariances of the respective log returns. Here, we develop transformation equations for these means and covariances when one changes the numeraire. The results are verified by a thorough empirical analysis capturing the dynamics of numerous assets in a foreign exchange market. We show that the partial correlations between pairs of assets are invariant under the change of the numeraire. This observable quantifies the relationship between two assets, while the influence of the rest is removed. As such the partial correlations uncover intriguing observations which may not be easily noticed in the ordinary correlation analysis.
Keywords: Foreign exchange; Financial cross-correlations; Numeraire selection; Portfolio management; Partial correlations; Correlation networks (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)
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Working Paper: Correlation Patterns in Foreign Exchange Markets (2019) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:525:y:2019:i:c:p:1026-1037
DOI: 10.1016/j.physa.2019.04.044
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