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...

Based on the daily data of 45 listed financial institutions from 2015 to 2022 in Chinese financial market, we construct higher-order temporal causal networks via the variable-lag Granger-causality test and higher-order temporal network model, and rank the systemic important financial...

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...

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...

Systemic importance of a financial institution is measured as the additional tail loss induced into the system when the financial institution falls into distress due to its own structural shocks. The use of a structural approach is a step towards addressing a key concern in systemic risk...

In November, 2011, the Financial Stability Board, in collaboration with the International Monetary Fund, published a list of 29 “systemically important financial institutions” (SIFIs, now referred to as “globally systemically important banks” or G-SIBs), institutions whose failure, by...