Date of Award
College of Arts Humanities and Social Sciences
Markus Schneider, Ph.D.
Agent based modeling, Fundamental uncertainty, Value at risk
By applying common financial risk assessment models to the network economy formalized in Delli Gatti et al. (2006), and by contextualizing both in the broader literature on complexity in economic systems, the question of convergence in economic models is addressed. Critically, a formal state condition is identified which can contribute to the emergence of periods of extreme divergence from expected conditions even in a model characterized by restrictive assumptions regarding agent choice and market structure. The strength of the impact of this state condition, here the topology of a credit network, on the dynamics of the economic system is furthermore shown to be highly dependent upon the structure of the market. The existence of such state conditions has fundamental implications for the evaluation of risk and institutional design in economic systems
Copyright is held by the author. User is responsible for all copyright compliance.
Alexander Kent Spray
Received from ProQuest
Spray, Alexander Kent, "Cascading Failures and Fundamental Uncertainty: Divergence in Financial Risk Assessment" (2012). Electronic Theses and Dissertations. 621.