Most downside risk models implicitly assume that returns are a sufficient statistic with which to forecast the daily conditional distribution of a portfolio. In this paper, we address this question empirically and analyze if the variables that proxy for market liquidity and trading conditions...

In this paper we analyze the state-dependent risk-spillover in different economic areas. To this end, weapply the quantile regression-based methodology developed in Adams, Füss and Gropp (2014)approach to examine the spillover in conditional tails of daily returns of indices of the banking...

We analyze the co-movement of a number of commodity markets in extreme financial episodes worldwide. More specifically, we provide extreme downside risk co-movement maps of these markets during six recent distress periods. We follow an expected shortfall-multidimensional scaling approach, which...