This paper determines the precise connection between the curvature properties of an objective function and the ray-curvature properties of its dual. When the objective function is interpreted as a Bernoulli or cardinal utility function, our results characterize the relationship between an agent’s attitude towards income risks and her attitude towards risks in the underlying consumption space. We obtain these results by developing and applying a number of representation theorems for concave functions
Duality mappings for the theory of risk aversion with vector outcomes Sudhir A. Shah
Utility function properties as monotonicity and concavity play a fundamental role in reflecting a de...
The Diffidence Theorem, together with complementary tools, can aid in illuminating a broad set of qu...
This paper determines the precise connection between the curvature properties of an objective functi...
This note determines the precise connection between an agent`s attitude towards income risks and his...
This note determines the precise connection between an agent`s attitude towards income risks and his...
This note determines the precise connection between an agent's attitude towards income risks and his...
This paper analyzes concave and convex utility and probability distortion functions for decision und...
The Author considera a decision-making environment with an outcome space that is a convex and compac...
Extending the approach of Jouini et al. we define set–valued (convex) measures of risk and its accep...
International audienceWe consider necessary and sufficient conditions for risk aversion to one risk ...
The present note first discusses the concept of s-convex pain functions in decision theory. Then, th...
The risk premium is affected by loss aversion and probability distortions as well as utility curvatu...
The risk premium is affected by loss aversion and probability distortions as well as utility curvatu...
Attitudes towards bidimensional risk depend both on the shape of the indifference map under certaint...
Duality mappings for the theory of risk aversion with vector outcomes Sudhir A. Shah
Utility function properties as monotonicity and concavity play a fundamental role in reflecting a de...
The Diffidence Theorem, together with complementary tools, can aid in illuminating a broad set of qu...
This paper determines the precise connection between the curvature properties of an objective functi...
This note determines the precise connection between an agent`s attitude towards income risks and his...
This note determines the precise connection between an agent`s attitude towards income risks and his...
This note determines the precise connection between an agent's attitude towards income risks and his...
This paper analyzes concave and convex utility and probability distortion functions for decision und...
The Author considera a decision-making environment with an outcome space that is a convex and compac...
Extending the approach of Jouini et al. we define set–valued (convex) measures of risk and its accep...
International audienceWe consider necessary and sufficient conditions for risk aversion to one risk ...
The present note first discusses the concept of s-convex pain functions in decision theory. Then, th...
The risk premium is affected by loss aversion and probability distortions as well as utility curvatu...
The risk premium is affected by loss aversion and probability distortions as well as utility curvatu...
Attitudes towards bidimensional risk depend both on the shape of the indifference map under certaint...
Duality mappings for the theory of risk aversion with vector outcomes Sudhir A. Shah
Utility function properties as monotonicity and concavity play a fundamental role in reflecting a de...
The Diffidence Theorem, together with complementary tools, can aid in illuminating a broad set of qu...