We investigate the information content of stock correlation based network measures for systemic risk rankings, such as SIFIRank (based on Google's PageRank). Using European banking data, we first show that SIFIRank is empirically equivalent to a ranking based on average pairwise stock...

This paper presents a methodology to calculate the Systemic Risk Ranking of financial institutions in the European banking sector using publicly available information. The proposed model makes use of the network structure of financial institutions by including the stock return series of all...

The purpose of this paper is to analyze the systemic risk of the Chinese financial institutions following the financial crisis of 2007. We estimate the systemic risk of a sample composed by 70 Chinese financial institutions through the period beginning on 02 January 2008 to 30 June 2015. We...

We analyze whether four market-based measures of the global systemic importance of financial institutions offer early warning signals during three financial crises. The tests based on the 2007/2008 crisis show that only one measure (∆CoVaR) consistently adds predictive power to conventional...