Finance complex systems involves the nonlinear, networked behaviors of financial markets, institutions and heterogenous stakeholders, where systemic risks and feedback loops drive phenomena such as market crashes or contagion effects. Meanwhile,production complex systems are composed by the input and output interactions among enterprises or sectors, which facilitate the production fluctuations and amplify the economic impacts. Moreover, under the financial accelerator view, the financial system and production system closely interact with each other and could speed up and exacerbate the systemic risk and economic reduction through mutual contagion.
In recent years, the global economy has faced an increasing frequency of extreme events, including financial crises, supply chain disruptions, pandemics, geopolitical conflicts, and climate-related disasters. These crises often occur simultaneously and trigger cascading effects across sectors beyond physical boudaries, which reveals the fragile of the finance and production systems and their interdependence between financial stability and production resilience. Thereby, it is important to understand interconnected systems and explore the underlying mechanisms.
Recent advancements in network theory, statistical physics, agent-based models, and artificial intelligence algorithms display great potential to uncover these systems’ complex dynamics on risk management, offering interdisciplinary solutions and tools to identify, predict and mitigate cascading effects under uncertainty circumstance.
This Research Topic aims to address these challenges by fostering interdisciplinary research that explores the resilience, adaptability, and systemic risks inherent in finance and production systems. By integrating approaches from physics, economics, and computational science, this initiative seeks to develop innovative models and tools for navigating the uncertainties of a highly interconnected global economy. The goal is to enhance understanding, improve risk management, and support robust decision-making in the face of growing complexity and unpredictability.
Topics of interest include but are not limited to:
1. Interaction between Financial and Production Systems
2. Systemic Risks and Contagion in Networked Financial Markets
3. Risk Management and Decision-Making from Complex Adaptive Systems Perspective
4. Amplification of Economic Impacts and Production System Volatility
5. Identification and Early Warning of Systemic Risks under Uncertainty
6. Cross-Disciplinary Innovation: Financial and Production System Integration
7. Linkages between Climate Change and Financial Crises
8. Agent-Based Modeling of Systemic Risk Propagation and Economic Slowdown
9. Risk Transmission and Financial Vulnerabilities in Global Supply Chains
10. Building Resilience in Crisis Contexts: Policy Responses for Financial and Production Systems
We welcome theoretical, empirical, and computational studies from diverse disciplines, including physics, economics, and systems science. Submissions should emphasize originality and cross-disciplinary relevance.
Finance complex systems involves the nonlinear, networked behaviors of financial markets, institutions and heterogenous stakeholders, where systemic risks and feedback loops drive phenomena such as market crashes or contagion effects. Meanwhile,production complex systems are composed by the input and output interactions among enterprises or sectors, which facilitate the production fluctuations and amplify the economic impacts. Moreover, under the financial accelerator view, the financial system and production system closely interact with each other and could speed up and exacerbate the systemic risk and economic reduction through mutual contagion.
In recent years, the global economy has faced an increasing frequency of extreme events, including financial crises, supply chain disruptions, pandemics, geopolitical conflicts, and climate-related disasters. These crises often occur simultaneously and trigger cascading effects across sectors beyond physical boudaries, which reveals the fragile of the finance and production systems and their interdependence between financial stability and production resilience. Thereby, it is important to understand interconnected systems and explore the underlying mechanisms.
Recent advancements in network theory, statistical physics, agent-based models, and artificial intelligence algorithms display great potential to uncover these systems’ complex dynamics on risk management, offering interdisciplinary solutions and tools to identify, predict and mitigate cascading effects under uncertainty circumstance.
This Research Topic aims to address these challenges by fostering interdisciplinary research that explores the resilience, adaptability, and systemic risks inherent in finance and production systems. By integrating approaches from physics, economics, and computational science, this initiative seeks to develop innovative models and tools for navigating the uncertainties of a highly interconnected global economy. The goal is to enhance understanding, improve risk management, and support robust decision-making in the face of growing complexity and unpredictability.
Topics of interest include but are not limited to:
1. Interaction between Financial and Production Systems
2. Systemic Risks and Contagion in Networked Financial Markets
3. Risk Management and Decision-Making from Complex Adaptive Systems Perspective
4. Amplification of Economic Impacts and Production System Volatility
5. Identification and Early Warning of Systemic Risks under Uncertainty
6. Cross-Disciplinary Innovation: Financial and Production System Integration
7. Linkages between Climate Change and Financial Crises
8. Agent-Based Modeling of Systemic Risk Propagation and Economic Slowdown
9. Risk Transmission and Financial Vulnerabilities in Global Supply Chains
10. Building Resilience in Crisis Contexts: Policy Responses for Financial and Production Systems
We welcome theoretical, empirical, and computational studies from diverse disciplines, including physics, economics, and systems science. Submissions should emphasize originality and cross-disciplinary relevance.