The unusual severity of the recent global financial crisis has drawn much attention to systemic risk, particularly its measurement, and the institutions that contribute most to it. This paper provides an empirical examination of the systemic risk potential among banking institutions in Asia...

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...

We apply text analysis to Twitter messages in Spanish to build a sentiment- based risk index for the financial sector in Mexico. We classify a sample of tweets for the period 2006-2019 to identify messages in response to positive or negative shocks to the Mexican financial sector. We use a...

We apply sentiment analysis to Twitter messages in Spanish to build a sentiment risk index for the financial sector in Mexico. We classify a sample of tweets from 2006-2019 to identify messages in response to a positive or negative shock to the Mexican financial sector, relative to merely...

Owing to the disruptive events in the shadow banking system during the global financial crisis, policymakers and regulators have sought to strengthen the monitoring framework and to identify any remaining regulatory gaps. In accordance with its mandate, the European Systemic Risk Board (ESRB)...

We propose the realized systemic risk beta as a measure for financial companies' contribution to systemic risk given network interdependence between firms' tail risk exposures. Conditional on statistically pre-identified network spillover effects and market as well as balance sheet information,...

We estimate the contribution of large U.S, banks to the financial sector systemic risk by using value-at-risk (VaR ), conditional value-at-risk (CoV aR ), and two-stage least square (2SLS) methodology, Our sample is the monthly stock returns of 25 large U.S, banks from 1997 to 2021, We find that...