  Residual coherence is a graphical tool for selecting potential second-order
interaction terms as functions of a single time series and its lags. This paper
extends the notion of residual coherence to account for interaction terms of
multiple time series. Moreover, an alternative criterion, integrated spectrum,
is proposed to facilitate this graphical selection.
  A financial market application shows that new insights can be gained
regarding implied market volatility.
