Vector-Valued Risk Measure Processes
27 Pages Posted: 14 May 2013
Date Written: March 28, 2013
Abstract
Introduced by Artzner, Delbaen, Eber and Heath (1998) the axiomatic characterization of a static coherent risk measure was extended by Jouini, Meddeb and Touzi (2004) in a multi-dimensional setting to the concept of vector-valued risk measures. In this paper, we propose a dynamic version of the vector-valued risk measures in a continuous-time framework. Particular attention is devoted to the choice of a convenient risk space. We provide dual characterization results, we study different notions of time consistency and we give examples of vector-valued risk measure processes.
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Risk Preferences and their Robust Representation
By Michael Kupper and Samuel Drapeau
-
Essential Supremum with Respect to a Random Partial Order
By Youri Kabanov and Emmanuel Lepinette
-
A Von Neumann-Morgenstern Representation Result Without Weak Continuity Assumption
By Michael Kupper, Freddy Delbaen, ...
-
The Best Gain-Loss Ratio is a Poor Performance Measure
By Sara Biagini and Mustafa Pinar
-
Dynamic Quasi Concave Performance Measures
By Sara Biagini and Jocelyne Bion-nadal
-
Acceptability Indexes Via 'g-Expectations': An Application to Liquidity Risk
-
Essential Supremum and Essential Maximum with Respect to Random Preference Relations
By Youri Kabanov and Emmanuel Lepinette