Article ID Journal Published Year Pages File Type
485725 Procedia Computer Science 2015 10 Pages PDF
Abstract

After the recent global financial crisis, great focus has been raised on the identification of systemically important banks. Therefore, simple and intuitive indicators on banks’ systemic importance are urgently needed. This paper provides a new estimation method to measure and identify systemically important banks. We define quantitatively a systemic importance score (SIS) as the expected number of bank failures in the banking system given one particular bank fails. The SIS concentrates mainly on an existence of a contagion effect in an average meaning. In the empirical analysis, the SIS index is applied to identify the systemically important banks of China. The empirical results demonstrate that the big five state-owned banks are systemically important banks. Besides, IB, SPDB and CMB are also perceived as systemically important.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)