  In this paper we analyze a dynamic recursive extension of the (static) notion
of a deviation measure and its properties. We study distribution invariant
deviation measures and show that the only dynamic deviation measure which is
law invariant and recursive is the variance. We also solve the problem of
optimal risk-sharing generalizing classical risk-sharing results for variance
through a dynamic inf-convolution problem involving a transformation of the
original dynamic deviation measures.
