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On the effect of heterogeneity on flocking behavior and systemic risk

Author

Listed:
  • Fang Fei
  • Sun Yiwei

    (Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA)

  • Spiliopoulos Konstantinos

    (Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA)

Abstract

The goal of this paper is to study organized flocking behavior and systemic risk in heterogeneous mean-field interacting diffusions. We illustrate in a number of case studies the effect of heterogeneity in the behavior of systemic risk in the system, i.e., the risk that several agents default simultaneously as a result of interconnections. We also investigate the effect of heterogeneity on the “flocking behavior” of different agents, i.e., when agents with different dynamics end up following very similar paths and follow closely the mean behavior of the system. Using Laplace asymptotics, we derive an asymptotic formula for the tail of the loss distribution as the number of agents grows to infinity. This characterizes the tail of the loss distribution and the effect of the heterogeneity of the network on the tail loss probability.

Suggested Citation

  • Fang Fei & Sun Yiwei & Spiliopoulos Konstantinos, 2017. "On the effect of heterogeneity on flocking behavior and systemic risk," Statistics & Risk Modeling, De Gruyter, vol. 34(3-4), pages 141-155, September.
    • Handle: RePEc:bpj:strimo:v:34:y:2017:i:3-4:p:141-155:n:3
    DOI: 10.1515/strm-2016-0013
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    References listed on IDEAS

    as
    1. Konstantinos Spiliopoulos, 2014. "Systemic Risk and Default Clustering for Large Financial Systems," Papers 1402.5352, arXiv.org, revised Feb 2015.
    2. Kay Giesecke & Konstantinos Spiliopoulos & Richard B. Sowers, 2011. "Default clustering in large portfolios: Typical events," Papers 1104.1773, arXiv.org, revised Feb 2013.
    3. Konstantinos Spiliopoulos & Richard B. Sowers, 2013. "Default Clustering in Large Pools: Large Deviations," Papers 1311.0498, arXiv.org, revised Feb 2015.
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    Cited by:

    1. Zachary Feinstein & Andreas Sojmark, 2019. "A Dynamic Default Contagion Model: From Eisenberg-Noe to the Mean Field," Papers 1912.08695, arXiv.org.

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