DocumentCode :
120813
Title :
A mesoscopic approach to modeling and simulation of systemic risks
Author :
Ide, Kiyotaka ; Zamami, Ryota ; Namatame, Akira
Author_Institution :
Dept. of Comput. Sci., Nat. Defense Acad., Yokosuka, Japan
fYear :
2014
fDate :
27-28 March 2014
Firstpage :
144
Lastpage :
151
Abstract :
Structural features exist on the microscopic level derived from differences between single node properties, mesoscopic level derived from properties shared by groups of nodes, and macroscopic level derived from properties of the whole network. In this study, we simulate systemic failures on network models that show typical mesoscopic topological features, the core-periphery structure and the modular structure. The results of our numerical simulation analysis indicate that mesoscopic features reveal properties of default contagion propagation that cannot be captured by macroscopic approaches such as degree distribution.
Keywords :
finance; network theory (graphs); numerical analysis; risk management; contagion propagation; core-periphery structure; mesoscopic approach; modular structure; network property; numerical simulation analysis; structural features; systemic risk modeling; systemic risk simulation; Algorithm design and analysis; Benchmark testing; Equations; Indexes; Joining processes; Mathematical model; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/CIFEr.2014.6924066
Filename :
6924066
Link To Document :
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