Contagion risk in global banking sector

Kevin Daly*, Jonathan A. Batten, Anil V. Mishra, Tonmoy Choudhury

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

This paper investigates contagion risk for the global banking environment using three different distance to risk measures (distance to default, distance to capital, and distance to insolvency). The timeframe for this research covers a period that is characterized by substantial financial innovation in regards to regulatory, monetary and technological change experienced in the banking environment. Our hypothesis is that volatility in the banking structure of a particular country upsurges the prospect of financial volatility in another. We model extreme shocks for banks by replicating four separate conditions of financial stress. We compute the probability of these states moving from one country′s banking system to another by employing multinomial logistic model. In total, we investigate the possibility of extreme event in one country′s banking system as a function of extreme events in other countries banking systems throughout our sample period. Our sample consists of ninety-one banks from twenty countries including all G8 and BRICS countries in operation from 6th January 2006 up to 31st December 2015. Overall, we find evidence of strong correlations between countries’ banking systems especially between those of UK and US. Our findings suggest the need for greater regulatory control over banks operating as global systemically important banks (GSIBs).

Original languageEnglish
Article number101136
JournalJournal of International Financial Markets, Institutions and Money
Volume63
DOIs
StatePublished - Nov 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

  • Distance to capital (DC)
  • Distance to default (DD)
  • Distance to insolvency (DI)
  • Extreme value theory (EVT)
  • Global systemically important banks (GSIBs)
  • Logistic regression model

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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