  We introduce two types of ordinal pattern dependence between time series.
Positive (resp. negative) ordinal pattern dependence can be seen as a
non-paramatric and in particular non-linear counterpart to positive (resp.
negative) correlation. We show in an explorative study that both types of this
dependence show up in real world financial data.
