Information Diffusion, Cluster formation and Entropy-based Network Dynamics in Equity and Commodity Markets
Duc Khuong Nguyen,
Leonidas Sandoval Junior and
Gazi Uddin ()
MPRA Paper from University Library of Munich, Germany
This paper investigates the dynamic causal linkages among U.S. equity and commodity futures markets via the utilization of complex network theory. We make use of rolling estimations of extended matrices and time-varying network topologies to reveal the temporal dimension of correlation and entropy relationships. A simulation analysis using randomized time series is also implemented to assess the impact of de-noising on the data dependence structure. We mainly show evidence of emphasized disparity of correlation and entropy-based centrality measurements for all markets between pre- and post-crisis periods. Our results enable the robust mapping of network inﬂuences and contagion effects whilst incorporating agent expectations.
Keywords: Finance; commodity markets; correlation; transfer entropy; complex network; centrality (search for similar items in EconPapers)
JEL-codes: G1 G15 (search for similar items in EconPapers)
Date: 2015-09, Revised 2016-02
New Economics Papers: this item is included in nep-hme and nep-net
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Journal Article: Information diffusion, cluster formation and entropy-based network dynamics in equity and commodity markets (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:73397
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