Multichannel Contagion vs Stabilisation in Multiple Interconnected Financial Markets
Antoaneta Serguieva

TL;DR
This paper develops a new interconnected multiplex network model for financial markets, introduces systemic risk measures, and designs cost-effective stabilisation strategies to prevent multichannel contagion, validated with empirical data.
Contribution
It formulates the first interconnected multiplex model for financial contagion, introduces systemic risk metrics, and proposes stabilisation strategies that are empirically validated.
Findings
Multichannel stabilisation effectively contains contagion.
Structural measures predict systemic risk levels.
Strategies adaptively enhance network resilience.
Abstract
The theory of multilayer networks is in its early stages, and its development provides vital methods for understanding complex systems. Multilayer networks, in their multiplex form, have been introduced within the last three years to analysing the structure of financial systems, and existing studies have modelled and evaluated interdependencies of different type among financial institutions. These studies, however, have considered the structure as a non-interconnected multiplex - an ensemble of single layer networks comprising the same nodes - rather than as an interconnected multiplex network. No mechanism of multichannel contagion has been modelled and empirically evaluated, and no multichannel stabilisation strategies for pre-emptive contagion containment have been designed. This paper formulates an interconnected multiplex structure, and a contagion mechanism among financial…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Banking stability, regulation, efficiency
