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Connecting the dots: Econometric methods for uncovering networks with an application to the Australian financial institutions

Listed author(s):
  • Anufriev, Mikhail
  • Panchenko, Valentyn

This paper connects variance–covariance estimation methods, Gaussian graphical models, and the growing literature on economic and financial networks. We construct the network using the concept of partial correlations which captures direct linear dependence between any two entities, conditional on dependence between all other entities. We relate the centrality measures of this network to shock propagation. The methodology is applied to construct the perceived network of publicly traded Australian banks and their connections to domestic economic sectors and international markets. We find strong links between the big four Australian banks, real estate and other sectors of the economy, and determine which entities play a central role in transmitting and absorbing the shocks.

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File URL: http://www.sciencedirect.com/science/article/pii/S0378426615002563
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Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 61 (2015)
Issue (Month): S2 ()
Pages: 241-255

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Handle: RePEc:eee:jbfina:v:61:y:2015:i:s2:p:s241-s255
DOI: 10.1016/j.jbankfin.2015.08.034
Contact details of provider: Web page: http://www.elsevier.com/locate/jbf

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  32. repec:hal:journl:peer-00834423 is not listed on IDEAS
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