Agent-Based Modeling for Complex Financial Systems

Todays global financial marketplace is best understood as a complex network of interacting market systems, in which events of world-wide significance unfold on timescales that are barely within the ability of humans to comprehend. Many researchers have concluded that the dynamics of networked market systems are better under-stood as complex adaptive systems, in which independent software components interact without centralized control or oversight.

Authors

• James Paulin
• Anisoara Calinescu
• Michael Wooldridge University of Oxford

Keywords

• Computer crashes
• Biological system modeling
• Investment
• Financial management
• Adaptation models
• Economics
• Multi-agent
• Financial System
• Global Financial
• Intraday
• Market Participants
• Need For Models
• Stock Exchange
• Market Structure
• Emergent Properties
• Rule Changes
• Market System
• Trading System
• Perfect Information
• General Equilibrium Model
• Homo Economicus
• Complex Adaptive Systems
• Minute Period
• Subprime Crisis
• Global Financial System
• Financial Networks
• Market Makers
• Financial Distress
• Reduce Model Complexity
• Price Movements
• Stylized Facts
• Parameter Space
• Systemic Risk
• Node Degree Distribution
• Order Book
• Machine Learning
• multiagent systems
• simulation modeling and visualization
• financial