Cointegration networks in stock markets

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Accepted Manuscript (AM)
Author(s)
Singh, Vikkram
Roca, Eduardo
Li, Bin
Griffith University Author(s)
Year published
2018
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Show full item recordAbstract
We use a novel approach based on a combination of network and cointegration analysis to examine linkages between stock markets across market cycles. Our results show that long-run linkages are likely to be global rather than regional and that market turbulence increases linkages. However, we find no widespread common stochastic trends between markets and neither are we able to draw a conclusion that major financial markets display influences network linkages.We use a novel approach based on a combination of network and cointegration analysis to examine linkages between stock markets across market cycles. Our results show that long-run linkages are likely to be global rather than regional and that market turbulence increases linkages. However, we find no widespread common stochastic trends between markets and neither are we able to draw a conclusion that major financial markets display influences network linkages.
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Journal Title
Applied Economics Letters
Copyright Statement
© 2017 Taylor & Francis (Routledge). This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Economics Letters on 19 Jul 2017, available online: http://www.tandfonline.com/10.1080/13504851.2017.1355534
Note
This publication has been entered into Griffith Research Online as an Advanced Online Version.
Subject
Health services and systems
Public health
Applied economics
Applied economics not elsewhere classified