Networks in risk spillovers: a multivariate GARCH perspective

Monica Billio, Massimiliano Caporin, Lorenzo Frattarolo () and Loriana Pelizzon ()
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Lorenzo Frattarolo: SAFE-Goethe University Frankfurt

No 2016:03, Working Papers from Department of Economics, University of Venice "Ca' Foscari"

Abstract: We propose a spatial approach for modeling risk spillovers using financial time-varying proximity matrices based on observable networks. We show how these methods could be useful in (i) isolating risk channels, risk spreaders and risk receivers, (ii) investigating the role of portfolio composition in risk transfer, and (iii) computing target exposure structures able to reduce the forecasted system variance and thus the risk of the system. Our empirical analysis builds on banks� foreign exposures provided by the Bank of International Settlements (BIS) as a proxy for Euro area cross-country holdings. We find, in the European sovereign bond markets, that Germany, Italy and, to a lesser extent, Greece are playing a central role in spreading risk, and Ireland and Spain are the most susceptible receivers of spillover effects that can be traced back to a physical claim channel: banks� foreign exposures. We additionally show that acting on these physical channels before the sovereign crisis, it would have been possible to have a clear risk mitigation outcome

Keywords: spatial GARCH; network; risk spillover; financial spillover (search for similar items in EconPapers)
JEL-codes: C58 G10 (search for similar items in EconPapers)
Pages: 52
Date: 2016
New Economics Papers: this item is included in nep-eec, nep-net and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Networks in risk spillovers: A multivariate GARCH perspective (2023)
Working Paper: Networks in risk spillovers: A multivariate GARCH perspective (2020)
Working Paper: Networks in risk spillovers: A multivariate GARCH perspective (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:ven:wpaper:2016:03

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