A new measure of risk is introduced for a sequence of random incomes adapted to some filtration. This measure is formulated as the optimal net present value of a stream of adaptively planned commitments for consumption. The calculation of the new measure is done by solving a stochastic dynamic linear optimization problem, which, in case of a finite filtration, reduces to a simple deterministic linear program. We show properties of the new measure by exploiting the convexity and duality structure of the stochastic dynamic linear problem. The measure depends on the full distribution of the income process (not only on its marginal distribution) as well as on the filtration, which is interpreted as the available information about the future
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
This is the first version of our article.We study the filtering problem and the maximization problem...
Abstract: Linear optimization problems are investigated whose parameters are uncertain. We apply coh...
A new measure of risk is introduced for a sequence of random incomes adapted to some ltration This ...
In financial optimization, the future distribution of wealth is projected by methods of statistical ...
We consider a class of multistage stochastic linear programs in which at each stage a coherent risk ...
This paper concerns the decomposition of income risk into perma-nent and transitory components using...
We study various properties of a dynamic convex risk measure for bounded random variables which desc...
This paper concerns the decomposition of income risk into perma-nent and transitory components using...
In the last decade the theory of coherent risk measures established itself as an alternative to expe...
This paper concerns the decomposition of income risk into perma-nent and transitory components using...
We consider dynamic risk measures induced by backward stochastic differential equations (BSDEs) in a...
This paper studies the question of filtering and maximizing terminal wealth from expected utility in...
Abstract. We consider risk-averse formulations of multistage stochastic linear programs. For these f...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
This is the first version of our article.We study the filtering problem and the maximization problem...
Abstract: Linear optimization problems are investigated whose parameters are uncertain. We apply coh...
A new measure of risk is introduced for a sequence of random incomes adapted to some ltration This ...
In financial optimization, the future distribution of wealth is projected by methods of statistical ...
We consider a class of multistage stochastic linear programs in which at each stage a coherent risk ...
This paper concerns the decomposition of income risk into perma-nent and transitory components using...
We study various properties of a dynamic convex risk measure for bounded random variables which desc...
This paper concerns the decomposition of income risk into perma-nent and transitory components using...
In the last decade the theory of coherent risk measures established itself as an alternative to expe...
This paper concerns the decomposition of income risk into perma-nent and transitory components using...
We consider dynamic risk measures induced by backward stochastic differential equations (BSDEs) in a...
This paper studies the question of filtering and maximizing terminal wealth from expected utility in...
Abstract. We consider risk-averse formulations of multistage stochastic linear programs. For these f...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
This is the first version of our article.We study the filtering problem and the maximization problem...
Abstract: Linear optimization problems are investigated whose parameters are uncertain. We apply coh...