Equivalent characterizations of multi-portfolio time consistency are deduced for closed convex and coherent set-valued risk measures on L ^p_d(F_T ) with image space in the power set of L ^p_d(F_t ). In the convex case, multi-portfolio time consistency is equivalent to a cocycle condition on the sum of minimal penalty functions. In the coherent case, multi-portfolio time consistency is equivalent to a generalized version of stability of the dual variables. As examples, the set-valued entropic risk measure with constant risk aversion coefficient is shown to satisfy the cocycle condition for its minimal penalty functions, the set of superhedging portfolios in markets with proportional transaction costs is shown to have the stability property and in markets with convex transaction costs is shown to satisfy the composed cocycle condition, and a multi-portfolio time consistent version of the set-valued average value at risk, the composed AV@R, is given and its dual representation deduced.
Equivalent characterizations of multi-portfolio time consistency are deduced for closed convex and coherent set-valued risk measures on L _d^p(\Omega,\mathcal F_T,\mathbb P ) with image space in the power set of L _d^p(\Omega,\mathcal F_t,\mathbb P ). In the convex case, multi-portfolio time consistency is equivalent to a cocycle condition on the sum of minimal penalty functions. In the coherent case, multi-portfolio time consistency is equivalent to a generalized version of stability of the dual variables. As examples, the set-valued entropic risk measure with constant risk aversion coefficient is shown to satisfy the cocycle condition for its minimal penalty functions, the set of superhedging portfolios in markets with proportional transaction costs is shown to have the stability property and in markets with convex transaction costs is shown to satisfy the composed cocycle condition, and a multi-portfolio time consistent version of the set-valued average value at risk, the composed AV@R, is given and its dual representation deduced.
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^p_d(F_T
_d^p(\Omega,\mathcal F_T,\mathbb P
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^p_d(F_t
_d^p(\Omega,\mathcal F_t,\mathbb P