FinSim: A Framework for Modeling Financial System Interdependencies

FinSim: A Framework for Modeling Financial System Interdependencies

Alexander Outkin (Los Alamos National Laboratory, USA), Silvio Flaim (Los Alamos National Laboratory, USA), Andy Seirp (Los Alamos National Laboratory, USA) and Julia Gavrilov (Los Alamos National Laboratory, USA)
Copyright: © 2008 |Pages: 21
DOI: 10.4018/978-1-59904-962-5.ch010
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We present in this chapter an overview of a financial system model (FinSim) created by the authors at the Los Alamos National Laboratory. The purpose of this model is to understand the impacts of external disruptions to the financial system, in particular disruptions to telecommunication networks and electric power systems; and to model how those impacts are affected by the interactions between different components of the financial system, e.g. markets and payment systems, and by individual agents actions and regulatory interventions. We use agent-based modeling to represent the interactions within the financial system and the decision-making processes of banks and traders. We model explicitly message-passing necessary for execution of financial transactions, which allows a realistic representation of the financial system dependency on telecommunications. We describe implementation of the payment system, securities market and liquidity market components; and present a sample telecommunications disruption scenario and its preliminary results.

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Table of Contents
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Yin Shan, Ang Yang
Chapter 1
Raymond Chiong, Lubo Jankovic
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Chapter 2
Stefano De Luca, Walter Quattrociocchi
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Chapter 3
Cellular Automata  (pages 57-84)
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In this chapter we present a view of cellular automata (CAs) as the quintessential complex system and how they can be used for complex systems... Sample PDF
Cellular Automata
Chapter 4
Adaptive Neurodynamics  (pages 85-111)
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Adaptive Neurodynamics
Chapter 5
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Innovation Diffusion Among Heterogeneous Agents: Exploring Complexity with Agent-Based Modelling (ABM)
Chapter 6
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Unique Applications of Multi-Agent Models in Uncovering Language Learning Processes
Chapter 7
Paolo Turrini, Mario Paolucci, Rosaria Conte
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The Intelligence of Rumors: A Cross-Methodological Approach to Social Belief Dynamics
Chapter 8
Carl Henning Reschke, Sascha Kraus
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Strategic Management, Evolutionary Economics, and Complex Adaptive Systems
Chapter 9
Jan Sudeikat, Wolfgang Renz
Agent Oriented Software-Engineering (AOSE) proposes the design of distributed software systems as collections of autonomous and pro-active actors... Sample PDF
Building Complex Adaptive Systems: On Engineering Self-Organizing Multi-Agent Systems
Chapter 10
Alexander Outkin, Silvio Flaim, Andy Seirp, Julia Gavrilov
We present in this chapter an overview of a financial system model (FinSim) created by the authors at the Los Alamos National Laboratory. The... Sample PDF
FinSim: A Framework for Modeling Financial System Interdependencies
Chapter 11
Kimberly Holloman
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Complex Adaptive Systems Theory and Military Transformation
Chapter 12
Katia Sycara, Paul Scerri, Anton Chechetka
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