AbstractIn this paper, we accomplish two objectives: First, we provide a new mathematical characterization of the value function for impulse control problems with implementation delay and present a direct solution method that differs from its counterparts that use quasi-variational inequalities. Our method is direct, in the sense that we do not have to guess the form of the solution and we do not have to prove that the conjectured solution satisfies conditions of a verification lemma. Second, by employing this direct solution method, we solve two examples that involve decision delays: an exchange rate intervention problem and a problem of labor force optimization
We study optimal stopping of strong Markov processes under random implementation delay. By random im...
We investigate a class of optimal control problems that exhibit constant exogenously given delays in...
The standard Markov Decision Process (MDP) formulation hinges on the assumption that an action is ex...
AbstractWe consider impulse control problems in finite horizon for diffusions with decision lag and ...
This dissertation studies the optimal stochastic impulse control problems with a decision lag, by wh...
We consider impulse control problems in finite horizon for diffusions with decision lag and executio...
We study impulse control problems of jump diffusions with delayed reaction. This means that there is...
We study finite horizon optimal stopping problems for continuous-time Feller–Markov processes. The f...
We study finite horizon optimal stopping problems for continuous time Feller-Markov pro-cesses. The ...
Stochastic control refers to the optimal control of systems subject to randomness. Impulse and singu...
summary:We employ a natural method from the perspective of the optimal stopping theory to analyze en...
We consider an optimal stopping problem in a certain model described by a stochastic delay different...
International audienceWe propose a general framework for intra-day trading based on the control of t...
We propose a general framework for intraday trading based on the control of trading algorithms. Give...
We propose a general framework for intra-day trading based on the control of trading algorithms. Giv...
We study optimal stopping of strong Markov processes under random implementation delay. By random im...
We investigate a class of optimal control problems that exhibit constant exogenously given delays in...
The standard Markov Decision Process (MDP) formulation hinges on the assumption that an action is ex...
AbstractWe consider impulse control problems in finite horizon for diffusions with decision lag and ...
This dissertation studies the optimal stochastic impulse control problems with a decision lag, by wh...
We consider impulse control problems in finite horizon for diffusions with decision lag and executio...
We study impulse control problems of jump diffusions with delayed reaction. This means that there is...
We study finite horizon optimal stopping problems for continuous-time Feller–Markov processes. The f...
We study finite horizon optimal stopping problems for continuous time Feller-Markov pro-cesses. The ...
Stochastic control refers to the optimal control of systems subject to randomness. Impulse and singu...
summary:We employ a natural method from the perspective of the optimal stopping theory to analyze en...
We consider an optimal stopping problem in a certain model described by a stochastic delay different...
International audienceWe propose a general framework for intra-day trading based on the control of t...
We propose a general framework for intraday trading based on the control of trading algorithms. Give...
We propose a general framework for intra-day trading based on the control of trading algorithms. Giv...
We study optimal stopping of strong Markov processes under random implementation delay. By random im...
We investigate a class of optimal control problems that exhibit constant exogenously given delays in...
The standard Markov Decision Process (MDP) formulation hinges on the assumption that an action is ex...