Journal Of Network Theory In Finance

Risk.net

NetMES: a network based marginal expected shortfall measure

Shatha Qamhieh Hashem and Paolo Giudici

  • The paper aims to build a novel measure of systemic risk.
  • Model uncertainty is taken into account by means of a Bayesian approach that allows model averaging over different network classes.
  • The measure is applied to the comparison of systemic risks of different banking sectors in the Gulf Countries.
  • The empirical findings indicate the presence of a difference between the two banking systems in terms of systemic risk, which can be explained by different levels of capitalization and leverage.

This paper aims to build novel measures of systemic risk that take the multivariate nature of the problem into account by means of network models. To account for model uncertainty, we also employ a Bayesian approach, which allows model averaging over different network classes. The resulting systemic risk measure, which we call NetMES, is applied to the evaluation of the financial stability of the banking system in the Gulf Cooperation Council countries. Banks are classified as fully-fledged Islamic  banks, conventional banks or hybrids: conventional banks with an Islamic window. The empirical findings indicate the presence of a difference between the two banking systems in terms of systemic risk, which can be explained by different levels of capitalization and leverage.

To continue reading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an indvidual account here: