We present a geometric approach to discrete time multiperiod mean variance portfolio opti-mization that largely simplies the mathematical analysis and the economic interpretation of such model settings. We show that multiperiod mean variance optimal policies can be decom-posed in an orthogonal set of basis strategies, each having a clear economic interpretation. This implies that the corresponding multi period mean variance frontiers are spanned by an orthogonal basis of dynamic returns. Specically, in a kperiod model the optimal strategy is a linear combination of a single kperiod global minimum second moment strategy an
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
The paper studies optimal portfolio selection for discrete time market models in mean-variance and g...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...
We present a geometric approach to discrete time multiperiod mean variance portfolio optimization th...
Contrary to static mean-variance analysis, very few papers have dealt with dynamic mean-variance ana...
The mean-variance formulation by Markowitz for modern optimal portfolio selection has been analyzed ...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
We analyze the optimal portfolio policy for a multiperiod mean-variance investor facing multiple ris...
This paper derives the mean-variance efficient frontier and optimal portfolio policies for a dynamic...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
International audienceIn this paper, we discuss several different styles of multi-period mean-varian...
AbstractThis paper introduces the Lagrange duality method for solving the multiperiod mean-variance ...
In this paper, we address the problem of long-term investment by exploring optimal strategies for al...
In this paper, we extend the multi-period mean-variance optimization framework to worst-case design ...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
The paper studies optimal portfolio selection for discrete time market models in mean-variance and g...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...
We present a geometric approach to discrete time multiperiod mean variance portfolio optimization th...
Contrary to static mean-variance analysis, very few papers have dealt with dynamic mean-variance ana...
The mean-variance formulation by Markowitz for modern optimal portfolio selection has been analyzed ...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
We analyze the optimal portfolio policy for a multiperiod mean-variance investor facing multiple ris...
This paper derives the mean-variance efficient frontier and optimal portfolio policies for a dynamic...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
International audienceIn this paper, we discuss several different styles of multi-period mean-varian...
AbstractThis paper introduces the Lagrange duality method for solving the multiperiod mean-variance ...
In this paper, we address the problem of long-term investment by exploring optimal strategies for al...
In this paper, we extend the multi-period mean-variance optimization framework to worst-case design ...
The objective of the continuous time mean-variance model is to minimize the variance (risk) of an in...
The paper studies optimal portfolio selection for discrete time market models in mean-variance and g...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...