AbstractIn this article we consider the portfolio selection problem of an agent with robust preferences in the sense of Gilboa and Schmeidler [Itzhak Gilboa, David Schmeidler, Maxmin expected utility with non-unique prior, Journal of Mathematical Economics 18 (1989) 141–153] in an incomplete market. Downside risk is constrained by a robust version of utility-based shortfall risk. We derive an explicit representation of the optimal terminal wealth in terms of certain worst case measures which can be characterized as minimizers of a dual problem. This dual problem involves a three-dimensional analogue of f-divergences which generalize the notion of relative entropy
We give an explicit PDE characterization for the solution of a robust utilitymaximization problem in...
The study of decision making under uncertainty is important in many areas (e.g. portfolio theory, ...
Portfolio selection in the financial literature has essentially been analyzed under two central assu...
AbstractIn this article we consider the portfolio selection problem of an agent with robust preferen...
We here provide a comprehensive study of the utility-deviation-risk portfolio selection problem. By ...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
We introduce a systematic approach to the problem of maximizing the robust utility of the terminal w...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
Robust utility functionals arise as numerical representations of investor preferences, when the inve...
AbstractThe effectiveness of utility-maximization techniques for portfolio management relies on our ...
The problem of maximizing the expected utility is well understood in the context of a complete finan...
We give an explicit PDE characterization for the solution of the problem of maximizing the utility o...
AbstractIn this note we prove Hölder-type inequalities for products of certain functionals of correl...
Abstract We provide a robust optimal hedging strategy in an incomplete market. This policy can prote...
This paper solves in great generality a problem in mathematical finance: to find a solution to the p...
We give an explicit PDE characterization for the solution of a robust utilitymaximization problem in...
The study of decision making under uncertainty is important in many areas (e.g. portfolio theory, ...
Portfolio selection in the financial literature has essentially been analyzed under two central assu...
AbstractIn this article we consider the portfolio selection problem of an agent with robust preferen...
We here provide a comprehensive study of the utility-deviation-risk portfolio selection problem. By ...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
We introduce a systematic approach to the problem of maximizing the robust utility of the terminal w...
The article analyzes optimal portfolio choice of utility maximizing agents in a general continuous-t...
Robust utility functionals arise as numerical representations of investor preferences, when the inve...
AbstractThe effectiveness of utility-maximization techniques for portfolio management relies on our ...
The problem of maximizing the expected utility is well understood in the context of a complete finan...
We give an explicit PDE characterization for the solution of the problem of maximizing the utility o...
AbstractIn this note we prove Hölder-type inequalities for products of certain functionals of correl...
Abstract We provide a robust optimal hedging strategy in an incomplete market. This policy can prote...
This paper solves in great generality a problem in mathematical finance: to find a solution to the p...
We give an explicit PDE characterization for the solution of a robust utilitymaximization problem in...
The study of decision making under uncertainty is important in many areas (e.g. portfolio theory, ...
Portfolio selection in the financial literature has essentially been analyzed under two central assu...