A Bibliometric Analysis on Network-Based Systemic Risk

Joan Sebastián Rojas Rincón

doi:10.3390/risks13110210

2025-11-02

PRE

Joan Sebastián Rojas Rincón

Julio César Acosta Prado *

José Ever Castellanos Narciso

DOI：10.3390/risks13110210

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摘要

En 中文

The vulnerability of the global financial system to systemic risk-related adverse events has become more evident in recent years, as shown by the 2008 financial crisis and the global pandemic. This study examines systemic risk and its contributing factors using network analysis to understand how contagion occurs. To achieve this, a bibliometric analysis was conducted using a cluster analysis of publications from 2020 to 2025. The bibliometric analysis covered 1642 papers related to systemic risk and financial transmission networks. The CiteSpace software was used to identify seven thematic clusters. The results show the relevance of topological analysis in explaining the connection between institutions and the spread of risk. There is also a clear tradition in the literature of applying the DY spillover index, which captures the temporal dynamics of systemic connectivity. Multilayer networks stand out as a trend in recent studies, as they have the potential to represent different types of relationships simultaneously between nodes. Finally, the literature pays attention to systemic connectivity problems during crises, which can amplify volatility and generate forced asset sales, highlighting the need to use advanced VAR-type models to anticipate risk transmission and guide macroprudential management.

Keyword:

systemic risk

network analysis

contagion mechanisms

clustering

bibliometrics