Structural correlations in the Italian overnight money market: An analysis based on network configuration models

Duc Thi Luu, Thomas Lux and Boyan Yanovski

No 2017-02, Economics Working Papers from Christian-Albrechts-University of Kiel, Department of Economics

Abstract: We study the structural correlations in the Italian overnight money market over the period 1999-2010. We show that the structural correlations vary across different versions of the network. Moreover, we employ different configuration models and examine whether higher-level characteristics of the observed network can be statistically reconstructed by maximizing the entropy of a randomized ensemble of networks restricted only by the lower-order features of the observed network. We find that often many of the high order correlations in the observed network can be considered emergent from the information embedded in the degree sequence in the binary version and in both the degree and strength sequences in the weighted version. However, this information is not enough to allow the models to account for all the patterns in the observed higher order structural correlations. In particular, one of the main features of the observed network that remains unexplained is the abnormally high level of weighted clustering in the years preceding the crisis, i.e. the huge increase in various indirect exposures generated via more intensive interbank credit links.

Keywords: Interbank Network; Structural Correlations; Clustering Coefficients; Configuration Models; Network Reconstruction (search for similar items in EconPapers)
JEL-codes: E42 G01 G21 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-mac
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:cauewp:201702

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