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This article proposes a new measure of tail risk spillover: the conditional coexceedance (CCX), defined as the number of joint occurrences of extreme negative returns in an industry, conditional on an extreme negative return in the financial sector. The empirical application provides evidence of significant volatility and tail risk spillovers from the financial sector to many real sectors in the U.S. economy from 2001 to 2011. These spillovers increase in crisis periods. The CCX in a given sector is positively related to its amount of debt financing and negatively related to its valuation and investment. Therefore, real economy sectors—which require relatively high debt financing and whose value and investment activity are relatively lower—are prime candidates for stock price volatility and depreciation in the wake of a financial sector crisis. Evidence also suggests that the higher the industry’s degree of competition, the stronger the tail risk spillover from the financial sector.

This paper estimates and compares two groups of high-frequency market-based systemic risk measures from 2004 to 2009 using European and US data of interbank rates, stock prices and credit derivatives both at aggregate market level as well as the individual bank level. The former group of measures gauges the overall tension in the financial sector whereas second group relies on individual institution information to extract joint distress at portfolio level. We rank the measures using three criteria: i) Granger Causality tests, ii) Gonzalo and Granger metric, and iii) the correlation with an index of systemic events and policy actions. We find that the best systemic risk indicator based on aggregate market measures is the First Principal Component of a portfolio of Credit Default Swap (CDS) spreads whereas the best indicator based on individual institution’s measures is the Multivariate Densities computed from CDS spreads. These results suggest that the measures based on CDSs outperform measures based on interbank rates or stock market prices. Some implications for regulators and policymakers are discussed.

This paper explores the dynamic relationship between stock market implied credit spreads, CDS spreads, and bond spreads. A general VECM representation is proposed for changes in the three credit spread measures which accounts for zero, one, or two independent cointegration equations, depending on the evidence provided by any particular company. Empirical analysis on price discovery, based on a proprietary sample of North American and European firms, and tailored to the specific VECM at hand, indicates that stocks lead CDS and bonds more frequently than the other way round. It likewise confirms the leading role of CDS with respect to bonds. Publicado