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Published on: September 16, 2022
Financial interbanking networks resilience under shocks propagation
Roy Cerqueti1,2,3, Matteo Cinelli4,5, Giovanna Ferraro6
1Department of Social and Economic Sciences, Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy.
This study introduces a new network resilience measure for financial systems, considering network topology and link weights during shock propagation. The findings offer insights into interbanking system stability and financial network analysis.
Area of Science:
- Network analysis
- Financial modeling
- System resilience
Background:
- Resilience, the capacity of a system to withstand shocks, is crucial in network analysis, particularly within finance.
- Understanding the resilience of financial interbanking systems is vital for economic stability.
Purpose of the Study:
- To introduce a novel network resilience measure that incorporates network topology and link weights.
- To model a financial interbanking system using empirical data.
- To compute and analyze the resilience of the financial network.
Main Methods:
- Development of a new network resilience metric accounting for topology and link weights.
- Construction of a financial network model based on quarterly interbanking data.
- Calibration of network model weights using high-quality empirical financial data.
- Computation and analysis of the proposed resilience measure on the financial network.
Main Results:
- The study successfully introduced and applied a new network resilience measure.
- The measure effectively considers the impact of network structure and link weights on shock propagation.
- Analysis provided insights into the resilience of the specific interbanking system studied.
Conclusions:
- The novel resilience measure offers a more comprehensive approach to assessing financial network stability.
- The findings contribute to both financial theory and network science by linking system structure to shock absorption capabilities.
- Further research can explore this measure in diverse financial network contexts.
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