The aim of this paper is to show that measures on tail dependence can be estimated in a convenient way by regression analysis. This yields the same estimates as the non-parametric method within the multivariate Extreme Value Theory framework. The advantage of the regression approach is contained...

We test for the presence of a systematic tail risk premium in the cross-section of expected returns by applying a measure on the sensitivity of assets to extreme market downturns, the tail beta. Empirically, historical tail betas help to predict the future performance of stocks under extreme...

Rules and regulations may have different impacts on risk-taking by individual banks and on banks' systemic risk levels. That is why implementing prudential rules and policies requires careful consideration of their impact on bank risk and systemic risk. This chapter assesses whether market-based...

In this study we disentangle two dimensions of banks' systemic risk: the level of bank tail risk and the linkage between a bank's tail risk and severe shocks in the financial system. We employ a measure of the systemic risk of financial institutions that can be decomposed into two subcomponents...

This paper analyzes the conditions under which a financial institution is systemically important. Measuring the level of systemic importance of financial institutions, we find that size is a leading determinant confirming the usual 'Too Big To Fail' argument. Nevertheless, the relation is...

This paper provides a new estimation method for the marginal expected shortfall (MES) based on multivariate extreme value theory. In contrast to previous studies, the method does not assume specific dependence structure among bank equity returns and is applicable to both large and small systems....