A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks

Area of Science:

• Financial System Analysis
• Complexity Theory
• Risk Management

Background:

• The 2008 global financial crisis revealed systemic risks exceeding conventional risk management capabilities.
• Existing conceptual tools are inadequate for understanding and addressing the scale of global systemic risks.
• Modern societies struggle with managing risks inherent in complex, interconnected global systems.

Purpose of the Study:

• To apply complexity theory dimensions to understand global systemic risks.
• To analyze the 2008 global financial crisis as a case study of systemic risk.
• To propose a research strategy for better managing financial system risks.

Main Methods:

• Utilizing normal accident theory and extended evolution perspectives from complexity theory.
• Examining the interconnectedness and agent interactions within global financial networks.
• Contrasting implications of different complexity theory approaches for risk analysis.

Main Results:

• Complexity theory provides a framework for grasping global systemic risks.
• The financial system's future may involve increased complexity or a move towards simplification.
• Normal accident theory and extended evolution offer distinct but valuable analytical lenses.

Conclusions:

• A four-point research strategy, informed by complexity theory, is proposed for financial systems.
• Understanding complex networks and agent interactions is crucial for managing systemic risks.
• Future research should explore the evolving complexity of financial systems to mitigate risks.