A simple mean-variance portfolio optimization problem in continuous time is solved using the mean field approach. In this approach, the original optimal control problem, which is time inconsistent, is viewed as the McKean\u2013Vlasov limit of a family of controlled many-component weakly interacting systems. The prelimit problems are solved by dynamic programming, and the solution to the original problem is obtained by passage to the limit
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
We propose a simulation-based approach for solving the constrained dynamic mean– variance portfolio...
A simple mean-variance portfolio optimization problem in continuous time is solved using the mean fi...
A simple mean-variance portfolio optimization problem in continuous time is solved using t...
A simple mean-variance portfolio optimization problem in continuous time is solved using t...
It is well known that mean-variance portfolio selection is a time-inconsistent optimal control probl...
It is well known that mean-variance portfolio selection is a time-inconsistent optimal control probl...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...
We investigate the mean-quadratic variation (MQV) portfolio optimization problem and its relationshi...
We consider the stochastic optimal control problem of nonlinear mean-field systems in discrete time....
In this article, we present and compare three mean-variance optimal portfolio approaches in a contin...
In this article, we present and compare three mean-variance optimal portfolio approaches in a contin...
The paper presents a mean-variance frontier based on dynamic frictionless investment strategies in c...
Contrary to static mean-variance analysis, very few papers have dealt with dynamic mean-variance ana...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
We propose a simulation-based approach for solving the constrained dynamic mean– variance portfolio...
A simple mean-variance portfolio optimization problem in continuous time is solved using the mean fi...
A simple mean-variance portfolio optimization problem in continuous time is solved using t...
A simple mean-variance portfolio optimization problem in continuous time is solved using t...
It is well known that mean-variance portfolio selection is a time-inconsistent optimal control probl...
It is well known that mean-variance portfolio selection is a time-inconsistent optimal control probl...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...
We investigate the mean-quadratic variation (MQV) portfolio optimization problem and its relationshi...
We consider the stochastic optimal control problem of nonlinear mean-field systems in discrete time....
In this article, we present and compare three mean-variance optimal portfolio approaches in a contin...
In this article, we present and compare three mean-variance optimal portfolio approaches in a contin...
The paper presents a mean-variance frontier based on dynamic frictionless investment strategies in c...
Contrary to static mean-variance analysis, very few papers have dealt with dynamic mean-variance ana...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
We propose a simulation-based approach for solving the constrained dynamic mean– variance portfolio...