Evolution of controllability in interbank networks

  • Delpini D
  • Battiston S
  • Riccaboni M
 et al. 
  • 78

    Readers

    Mendeley users who have this article in their library.
  • 30

    Citations

    Citations of this article.

Abstract

The Statistical Physics of Complex Networks has recently provided new theoretical tools for policy makers. Here we extend the notion of network controllability to detect the financial institutions, i.e. the drivers, that are most crucial to the functioning of an interbank market. The system we investigate is a paradigmatic case study for complex networks since it undergoes dramatic structural changes over time and links among nodes can be observed at several time scales. We find a scale-free decay of the fraction of drivers with increasing time resolution, implying that policies have to be adjusted to the time scales in order to be effective. Moreover, drivers are often not the most highly connected "hub" institutions, nor the largest lenders, contrary to the results of other studies. Our findings contribute quantitative indicators which can support regulators in developing more effective supervision and intervention policies.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Authors

  • stefano battistonUniversität Zürich - University of Zurich

    Follow
  • Danilo Delpini

  • Massimo Riccaboni

  • Giampaolo Gabbi

  • Fabio Pammolli

  • Guido Caldarelli

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free