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Updated: Jun 19, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Systemic risk: the dynamics of model banking systems.

Robert M May¹, Nimalan Arinaminpathy

¹Department of Zoology, Oxford, UK. robert.may@zoo.ox.ac.uk

Journal of the Royal Society, Interface

|October 30, 2009

Summary

Recent banking crises highlight gaps in managing systemic risk. This study uses mathematical models of banking ecosystems to explore how individual bank characteristics influence overall system stability and inform risk reduction strategies.

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Last Updated: Jun 19, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Area of Science:

Financial mathematics
Systemic risk analysis
Banking regulation

Background:

Recent banking crises underscore the inadequacy of individual bank risk management strategies in addressing systemic risks.
The complexity of modern banking necessitates a deeper understanding of interconnectedness and emergent system behaviors.

Purpose of the Study:

To investigate the relationship between individual bank characteristics and the stability of the overall banking system.
To develop mathematical models for analyzing banking ecosystems and their dynamical behavior.
To inform the development of regulations aimed at mitigating systemic risk in the financial sector.

Main Methods:

Development of simplified mathematical models ('caricatures') of banking ecosystems.
Analysis of the interplay between individual bank attributes (e.g., capital reserves to total assets ratio) and system-level dynamics.
Simulation and theoretical analysis of model behavior under various conditions.

Main Results:

Identified key individual bank characteristics that significantly impact systemic stability.
Demonstrated how localized risk management strategies can inadvertently amplify systemic vulnerabilities.
Revealed critical thresholds in bank-level metrics that may precede system-wide distress.

Conclusions:

Individual bank characteristics are crucial determinants of overall banking system stability.
Current risk management approaches may be insufficient without considering ecosystem-level dynamics.
Mathematical modeling provides valuable insights for designing effective systemic risk regulations.