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  • Cointegration networks in stock markets

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    SinghPUB5030.pdf (62.24Kb)
    File version
    Accepted Manuscript (AM)
    Author(s)
    Singh, Vikkram
    Roca, Eduardo
    Li, Bin
    Griffith University Author(s)
    Li, Bin
    Year published
    2018
    Metadata
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    Abstract
    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
    DOI
    https://doi.org/10.1080/13504851.2017.1355534
    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
    Publication URI
    http://hdl.handle.net/10072/350465
    Collection
    • Journal articles

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