Risk, Resilience and Robustness of Networks in Insurance, Finance and Other Related Fields
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 353
Special Issue Editor
Interests: complex networks and graph theory; network robustness; real-world networks applications; risk analysis
Special Issue Information
Dear Colleagues,
Network structures are pervasive around us, and for this reason network theory has been applied to a variety of fields. For instance, in economics, networks have been
studied in different contexts (labor markets, buyer-and-seller networks, risk-sharing networks, and product adoption are some examples). We know that financial institutions and markets are highly interconnected and how the architecture of the financial system matters. Nevertheless, the use of network theory in finance and insurance is relatively recent, and most of the existing research using network theory concentrates on issues such as financial stability and contagion.
In this framework, network topology plays an important role, and suitable indicators have been developed in literature in order to assess topological features of networks.
In particular, it is a common practice to apply spectral metrics to quantify the robustness of networks. However, it remains a challenge to identify a specific indicator that displays all the desirable properties usually requested for a robustness quantifier that can be functional to evaluate and compare real-world networks.
Moving from these considerations, this Special Issue aims to compile high-quality papers that offer a discussion of state-of-the-art developments or introduce new theoretical or practical advances in this field. We welcome papers related but not limited to the following topics:
- The robustness of complex networks;
- The structure and resilience of financial market networks;
- Spectral graph theory and topological indicators;
- Systemic risk, contagion, and network theory;
- Financial networks and interbank markets;
- Stock correlation networks;
- Network theory in insurance.
Prof. Dr. Alessandra Cornaro
Guest Editor
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Keywords
- Network theory
- Topological indicators
- Robustness and resilience
- Sistemic risk
- Contagion
- Finance and insurance
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