Coherent and convex monetary risk measures for unbounded cadlag processes

Assume that the random future evolution of values is modelled in continuous time. Then, a risk measure can be viewed as a functional on a space of continuous-time stochastic processes. In this paper We study coherent and convex monetary risk measures on the space of all cadlag processes that are adapted to a given filtration. We show that if such risk measures are required to be real-valued, then they can only depend on a stochastic process in a way that is uninteresting for many applications. Therefore, we allow them to take values in (-infinity, infinity). The economic interpretation of a value of infinity is that the corresponding financial position is so risky that no additional amount of money can make it acceptable. The main result of the paper gives different characterizations of coherent or convex monetary risk measures on the space of all bounded adapted cadlag processes that can be extended to coherent or convex monetary risk measures on the space of all adapted cadlag processes. As examples we discuss a new approach to measure the risk of an insurance company and a coherent risk measure for unbounded cadlag processes induced by a so called m-stable set.