Using Agent-Based Models for Analyzing Threats to Financial Stability

نویسنده

  • Richard Bookstaber
چکیده

Existing models of financial instability tend to be based on top-down, partial-equilibrium views of markets and their interactions; they are unable to incorporate the complexity of behavior among heterogeneous firms or the tendency for all types of firms to change their behavior during a crisis. This paper argues that agent-based models (ABMs)—which seek to explain how the behavior of individual firms or “agents” can affect outcomes in complex systems—can make an important contribution to our understanding of potential vulnerabilities and paths through which risks can propagate across the financial system.

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تاریخ انتشار 2012