© 2007 EUCA. In this paper we develop a framework based on coherent risk measures and multiparametric programming for the formulation and solution of multi-stage stochastic optimization problems that arise in the context of dynamic portfolio allocation. To address mean-risk trade-off we use a mean-risk function based on CV@R. We show that this risk measure inherits coherence of CV@R. We then develop dynamic programming equations for the problem and show that the explicit feedback control law can be obtained via solving a sequence of multiparametric linear programs.status: publishe
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...
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...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
The mean-variance formulation by Markowitz for modern optimal portfolio selection has been analyzed ...
We consider the problem of optimizing a portfolio of finitely many assets whose returns are describe...
Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) are popular risk measures from academic, in...
Value-at-risk (VaR) and conditional value-at-risk (CVaR) are popular risk measures from academic, in...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
When a dynamic optimization problem is not decomposable by a stage-wise backward recursion, it is no...
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...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
The mean-variance formulation by Markowitz for modern optimal portfolio selection has been analyzed ...
We consider the problem of optimizing a portfolio of finitely many assets whose returns are describe...
Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) are popular risk measures from academic, in...
Value-at-risk (VaR) and conditional value-at-risk (CVaR) are popular risk measures from academic, in...
We solve the dynamic mean-variance portfolio problem and derive its time-consistent solution using d...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
Risk measures are subject to many scientific papers and monographs published on financial portfolio ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...
In this paper we propose a methodology that we believe improves the effectiveness of several common ...