Network-based risk measurements for interbank systems

PLoS One. 2018 Jul 12;13(7):e0200209. doi: 10.1371/journal.pone.0200209. eCollection 2018.

Abstract

This paper focuses on evaluating the systemic risk in interbank networks, proposing a series of measurements: risk distance, risk degree and m-order risk degree. The proposed measurements are formally proven to have good basic and extended properties that are able to reflect the effect of bank size, liability size, liability distribution, and the discount factor on the default risk, not only of a single bank, but also of the entire system. Additionally, the abovementioned properties and the relationship between risk distance and financial contagion indicate the rationality embodied in the proposed measurements. This paper also provides some implications on how to decrease or prevent the systemic risk in an interbank system.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Banking, Personal / economics
  • Banking, Personal / organization & administration
  • Banking, Personal / statistics & numerical data*
  • Financial Management / statistics & numerical data
  • Humans
  • Models, Economic
  • Risk
  • Risk Management / statistics & numerical data
  • Risk Sharing, Financial / statistics & numerical data

Grants and funding

This work was supported by the National Natural Science Foundation of China under Grant 71501034 and 71771041 (to YL), by China Postdoctoral Science Foundation under Grant 2016M590230 and 2017T100183 (to YL), and by Italian Ministry of Education Progetti di Rilevante Interesse Nazionale (PRIN) Grant 2015592CTH (to PP). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.