We propose a tail dependence based network approach to study systemic risk in a network of systemically important financial institutions (SIFIs). We utilize a flexible factor copula-based method which allows us to measure the level of extreme risk in a portfolio when dependence is driven by one...

We use internet search volume data to measure idiosyncratic and market-wide crisis sentiment to explain insurer stock return volatility. We find that market-level crisis sentiment was a significant predictor of stock return volatility of U.S. insurers between 2006 and 2010. Higher levels of...

Using search volume data on crisis-related queries from Google Trends, we estimate three different measures of market-level and individual crisis sentiment. We find that the stock performance of international banks during the period Q1 2004 to Q4 2012 was significantly driven by investors'...

Do catastrophe bonds increase or decrease the exposure and contribution to systemic risk of the issuing insurance companies? And if such issues influence systemic stability, what design features of the bond and characteristics of the issuing insurer cause catastrophe bond issues to destabilize...