Dynamical analysis of the global business-cycle synchronization

Area of Science:

• Economics
• Computational Finance
• Network Science

Background:

• Business cycles exhibit complex dynamics influenced by global economic interactions.
• Understanding cross-border economic contagion is crucial for financial stability.
• Previous analyses often simplified the intricate interdependencies between national economies.

Purpose of the Study:

• To perform a dynamical analysis of business cycles across 12 developed and developing countries over 56 years.
• To investigate the role of computational techniques for complex systems in economic analysis.
• To identify drivers of long-term convergence and country-level interconnections in global economies.

Main Methods:

• Application of computational techniques designed for complex systems analysis.
• Dynamical analysis of business cycle data spanning 56 years for 12 countries.
• Modeling of bilateral networking exposure and contagion effects.

Main Results:

• Evidence of long-term convergence in business cycles across analyzed countries.
• Identification of significant country-level interconnections due to close contagion effects.
• Demonstration that interconnectivity magnitude dictates cross-border economic impacts.
• Local economic features and shock propagation complexity influence local cycle configurations.

Conclusions:

• Algorithmic modeling provides a robust framework for studying complex world economic dynamics.
• Bilateral networking and contagion are key mechanisms shaping global business cycles.
• Interconnectivity and local factors jointly determine the patterns of economic cycles.