Motivated by many financial insights, we provide dual representation theorems for quasiconvex conditional maps defined on vector space or modules and taking values in sets of random variables. These results match the standard dual representation for quasiconvex real valued maps provided by Penot and Volle. As a financial byproduct, we apply this theory to the case of dynamic certainty equivalents and conditional risk measures
We consider a decision-making environment with an outcome space that is a convex and compact subset ...
In his paper we introduce a quantile-based risk measure for multivariate financial positions "the ve...
This dissertation consists of three papers in the field of financial econometrics. In the first pape...
Motivated by many financial insights, we provide dual representation theorems for quasiconvex condit...
In the conditional setting we provide a complete duality between quasiconvex riskmeasures defined on...
Quasiconvex analysis has important applications in several optimization problems in science, economi...
We outline the history of Risk Measures from the original formulation given by Artzner Delbaen Eber ...
In his paper we introduce a quantile-based risk measure for multivariate financial positions: the ve...
In his paper we introduce a quantile-based risk measure for multivariate financial positions: the ve...
In his paper we introduce a quantile-based risk measure for multivariate financial positions: the ve...
We establish general "collapse to the mean" principles that provide conditions under which a law-inv...
We establish general "collapse to the mean" principles that provide conditions under which a law-inv...
We establish general "collapse to the mean" principles that provide conditions under which a law-inv...
The Author considera a decision-making environment with an outcome space that is a convex and compac...
Our paper contributes to the theory of conditional risk measures and conditional certainty equivalen...
We consider a decision-making environment with an outcome space that is a convex and compact subset ...
In his paper we introduce a quantile-based risk measure for multivariate financial positions "the ve...
This dissertation consists of three papers in the field of financial econometrics. In the first pape...
Motivated by many financial insights, we provide dual representation theorems for quasiconvex condit...
In the conditional setting we provide a complete duality between quasiconvex riskmeasures defined on...
Quasiconvex analysis has important applications in several optimization problems in science, economi...
We outline the history of Risk Measures from the original formulation given by Artzner Delbaen Eber ...
In his paper we introduce a quantile-based risk measure for multivariate financial positions: the ve...
In his paper we introduce a quantile-based risk measure for multivariate financial positions: the ve...
In his paper we introduce a quantile-based risk measure for multivariate financial positions: the ve...
We establish general "collapse to the mean" principles that provide conditions under which a law-inv...
We establish general "collapse to the mean" principles that provide conditions under which a law-inv...
We establish general "collapse to the mean" principles that provide conditions under which a law-inv...
The Author considera a decision-making environment with an outcome space that is a convex and compac...
Our paper contributes to the theory of conditional risk measures and conditional certainty equivalen...
We consider a decision-making environment with an outcome space that is a convex and compact subset ...
In his paper we introduce a quantile-based risk measure for multivariate financial positions "the ve...
This dissertation consists of three papers in the field of financial econometrics. In the first pape...