AbstractA crucial property for dynamic risk measures is the time consistency. In this paper, a characterization of time consistency in terms of a “cocycle condition” for the minimal penalty function is proved for general dynamic risk measures continuous from above. Then the question of the regularity of paths is addressed. It is shown that, for a time consistent dynamic risk measure normalized and non-degenerate, the process associated with any bounded random variable has a càdlàg modification, under a mild condition always satisfied in the case of continuity from below. When normalization is not assumed, a right continuity condition on the penalty has to be added.Applying these results and using right continuous BMO martingales, families o...
We study the behavior of conditional risk measures along decreasing σ-fields. Under a condition of ...
In this thesis, we develop theoretical foundations of the theory of dynamic risk measures for contro...
International audienceIn stochastic optimal control, one deals with sequential decision-making under...
AbstractA crucial property for dynamic risk measures is the time consistency. In this paper, a chara...
We study dynamic monetary risk measures that depend on bounded discrete-time processes describing th...
Although most of the theory development concerning risk measures has concentrated on convex or even ...
We study various properties of a dynamic convex risk measure for bounded random variables which desc...
In discrete time, every time-consistent dynamic monetary risk measure can be written as a compositio...
In discrete time, every time-consistent dynamic monetary risk measure can be written as a compositio...
In discrete time, every time-consistent dynamic monetary risk measure can be written as a compositio...
We introduce the time-consistency concept that is inspired by the so-called principle of optimality ...
Introduced by Artzner et al. (1998) the axiomatic characterization of a static coherent risk measure...
Introduced by Artzner et al. (1998) the axiomatic characterization of a static coherent risk measure...
In this paper, we study the dynamic risk measures for processes induced by backward stochastic diffe...
Stochastic optimal control is concerned with sequential decision-making under uncertainty. The theor...
We study the behavior of conditional risk measures along decreasing σ-fields. Under a condition of ...
In this thesis, we develop theoretical foundations of the theory of dynamic risk measures for contro...
International audienceIn stochastic optimal control, one deals with sequential decision-making under...
AbstractA crucial property for dynamic risk measures is the time consistency. In this paper, a chara...
We study dynamic monetary risk measures that depend on bounded discrete-time processes describing th...
Although most of the theory development concerning risk measures has concentrated on convex or even ...
We study various properties of a dynamic convex risk measure for bounded random variables which desc...
In discrete time, every time-consistent dynamic monetary risk measure can be written as a compositio...
In discrete time, every time-consistent dynamic monetary risk measure can be written as a compositio...
In discrete time, every time-consistent dynamic monetary risk measure can be written as a compositio...
We introduce the time-consistency concept that is inspired by the so-called principle of optimality ...
Introduced by Artzner et al. (1998) the axiomatic characterization of a static coherent risk measure...
Introduced by Artzner et al. (1998) the axiomatic characterization of a static coherent risk measure...
In this paper, we study the dynamic risk measures for processes induced by backward stochastic diffe...
Stochastic optimal control is concerned with sequential decision-making under uncertainty. The theor...
We study the behavior of conditional risk measures along decreasing σ-fields. Under a condition of ...
In this thesis, we develop theoretical foundations of the theory of dynamic risk measures for contro...
International audienceIn stochastic optimal control, one deals with sequential decision-making under...