• 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