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....

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...

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...

This paper examines the predictive power of weather for electricity prices in day-ahead markets in real time. We find that next-day weather forecasts improve the forecast accuracy of Scandinavian day-ahead electricity prices substantially in terms of point forecasts, suggesting that weather...

By introducing the concept of conditional probability of joint failure (CPJF), and by proposing a new measure for the systemic impact of currency crises, we provide new insights into the different sources of currency crises. We conclude that financial openness helps to diminish the probability...

We use tools of extreme value theory to extract information about rare events from market prices. We find that such information contributes materially to measures of banks' systemic importance. These measures exhibit strong and intuitive relationships with simple characteristics of banks'...

Weather information demonstrates predictive power in forecasting electricity prices in day-ahead markets in real time. In particular, next-day weather forecasts improve the forecast accuracy of Scandinavian day-ahead electricity prices in terms of point and density forecasts. This suggests that...