We introduce the concept of ordinal pattern dependence between time series and show in an explorative study that both types of this dependence show up in real world nancial data. The classical way to capture the leverage e ect in models for stock markets is to assume a negative correlation between the two datasets which is constant in time (e.g. Barndor Nielsen and Shepard (2002)). However, the...