We study impulse control problems of jump diffusions with delayed reaction. This means that there is a delay $\delta>0$ between the time when a decision for intervention is taken and the time when the intervention is actually carried out. We show that this problem can be transformed into a no-delay impulse control problem and there is an explicit relation between the solutions of these two problems. A similar connection is obtained in the case when only a given finite number of interventions is allowed. In this case the problem can be transformed into a sequence of iterated no-delay optimal stopping problems. The results are illustrated by an example where the problem is to find the optimal times to increase the production capacity of a fir...
We consider the problem of optimally tracking a Brownian motion by a sequence of impulse controls, i...
AbstractIn this paper, we accomplish two objectives: First, we provide a new mathematical characteri...
We propose a general framework for intra-day trading based on the control of trading algorithms. Gi...
This dissertation studies the optimal stochastic impulse control problems with a decision lag, by wh...
We study optimal control problems for (time-)delayed stochastic differential equations with jumps. W...
We consider impulse control problems in finite horizon for diffusions with decision lag and executio...
We consider a class of stochastic impulse control problems of general stochastic processes i.e. not ...
This thesis analyzes a class of impulse control problems for multi-dimensional jump diffusions in a ...
AbstractWe consider impulse control problems in finite horizon for diffusions with decision lag and ...
International audiencePiecewise deterministic Markov processes (PDMPs) have been introduced by M.H.A...
Stochastic control refers to the optimal control of systems subject to randomness. Impulse and singu...
We develop a computational method for solving an optimal control problem governed by a switched impu...
We study a stochastic optimal control problem for a delayed Markov regime-switching jump-diffusion m...
Continuous stochastic control theory has found many applications in optimal investment. However, it ...
The paper deals with the stochastic optimal intervention problem which arises in a production & stor...
We consider the problem of optimally tracking a Brownian motion by a sequence of impulse controls, i...
AbstractIn this paper, we accomplish two objectives: First, we provide a new mathematical characteri...
We propose a general framework for intra-day trading based on the control of trading algorithms. Gi...
This dissertation studies the optimal stochastic impulse control problems with a decision lag, by wh...
We study optimal control problems for (time-)delayed stochastic differential equations with jumps. W...
We consider impulse control problems in finite horizon for diffusions with decision lag and executio...
We consider a class of stochastic impulse control problems of general stochastic processes i.e. not ...
This thesis analyzes a class of impulse control problems for multi-dimensional jump diffusions in a ...
AbstractWe consider impulse control problems in finite horizon for diffusions with decision lag and ...
International audiencePiecewise deterministic Markov processes (PDMPs) have been introduced by M.H.A...
Stochastic control refers to the optimal control of systems subject to randomness. Impulse and singu...
We develop a computational method for solving an optimal control problem governed by a switched impu...
We study a stochastic optimal control problem for a delayed Markov regime-switching jump-diffusion m...
Continuous stochastic control theory has found many applications in optimal investment. However, it ...
The paper deals with the stochastic optimal intervention problem which arises in a production & stor...
We consider the problem of optimally tracking a Brownian motion by a sequence of impulse controls, i...
AbstractIn this paper, we accomplish two objectives: First, we provide a new mathematical characteri...
We propose a general framework for intra-day trading based on the control of trading algorithms. Gi...