The rapid advance in information technology, and the ever-growing flow of data and information, increases the connectivity and complexity of economic and financial systems. A local disruption can spread quickly and lead to unexpected global events; this poses a great challenge to risk management and financial regulation. To study such risk events, we need to model the correlation and dependency structure in the financial and economic systems and understand the resulting emergent systemic risks.
This special issue will focus on the interdisciplinary approach of complexity science, which, aided by new data analytics, offers an important perspective in the study of economic and financial systems.
- Agent-based modelling of economic and financial systems
- Empirical studies, risk measures and models of financial tail risks
- Risk propagation on supply-chain networks
- Systemic risk and resilience of financial markets
- Quantitative measures of sustainability
- Data analytics for risk measurement and management
- Submission deadline: 31 December 2022